Academic literature on the topic 'Event picking'
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Journal articles on the topic "Event picking"
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Thompson, Troy A., Matthew G. Lamont, Bruce M. Hartley, and Michael E. Glinsky. "Automated event picking in prestack hyperspace." ASEG Extended Abstracts 2004, no. 1 (December 2004): 1–4. http://dx.doi.org/10.1071/aseg2004ab148.
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Zeng, Hongliu, Milo M. Backus, Kenneth T. Barrow, and Noel Tyler. "Stratal slicing, Part I: Realistic 3-D seismic model." GEOPHYSICS 63, no. 2 (March 1998): 502–13. http://dx.doi.org/10.1190/1.1444351.
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Two‐dimensional, fenced 2-D, and 3-D isosurface displays of some realistic 3-D seismic models built in the lower Miocene Powderhorn Field, Calhoun County, Texas, demonstrate that a seismic event does not necessarily follow an impedance boundary defined by a geological time surface. Instead, the position of a filtered impedance boundary relative to the geological time surface may vary with seismic frequency because of inadequate resolution of seismic data and to the en echelon or ramp arrangement of impedance anomalies of sandstone. Except for some relatively time‐parallel seismic events, the correlation error of event picking is large enough to distort or even miss the majority of the target zone on stratal slices. In some cases, reflections from sandstone bodies in different depositional units interfere to form a single event and, in one instance, an event tying as many as six depositional units (interbedded sandy and shaly layers) over 50 m was observed. Frequency independence is a necessary condition for selecting time‐parallel reference events. Instead of event picking, phantom mapping between such reference events is a better technique for picking stratal slices, making it possible to map detailed depositional facies within reservoir sequences routinely and reliably from 3-D seismic data.
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Chen, Yangkang. "Automatic microseismic event picking via unsupervised machine learning." Geophysical Journal International 222, no. 3 (June 20, 2020): 1750–64. http://dx.doi.org/10.1093/gji/ggaa186.
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SUMMARY Effective and efficient arrival picking plays an important role in microseismic and earthquake data processing and imaging. Widely used short-term-average long-term-average ratio (STA/LTA) based arrival picking algorithms suffer from the sensitivity to moderate-to-strong random ambient noise. To make the state-of-the-art arrival picking approaches effective, microseismic data need to be first pre-processed, for example, removing sufficient amount of noise, and second analysed by arrival pickers. To conquer the noise issue in arrival picking for weak microseismic or earthquake event, I leverage the machine learning techniques to help recognizing seismic waveforms in microseismic or earthquake data. Because of the dependency of supervised machine learning algorithm on large volume of well-designed training data, I utilize an unsupervised machine learning algorithm to help cluster the time samples into two groups, that is, waveform points and non-waveform points. The fuzzy clustering algorithm has been demonstrated to be effective for such purpose. A group of synthetic, real microseismic and earthquake data sets with different levels of complexity show that the proposed method is much more robust than the state-of-the-art STA/LTA method in picking microseismic events, even in the case of moderately strong background noise.
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Saragiotis, Christos, Tariq Alkhalifah, and Sergey Fomel. "Automatic traveltime picking using instantaneous traveltime." GEOPHYSICS 78, no. 2 (March 1, 2013): T53—T58. http://dx.doi.org/10.1190/geo2012-0026.1.
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Event picking is used in many steps of seismic processing. We present an automatic event picking method that is based on a new attribute of seismic signals, instantaneous traveltime. The calculation of the instantaneous traveltime consists of two separate but interrelated stages. First, a trace is mapped onto the time-frequency domain. Then the time-frequency representation is mapped back onto the time domain by an appropriate operation. The computed instantaneous traveltime equals the recording time at those instances at which there is a seismic event, a feature that is used to pick the events. We analyzed the concept of the instantaneous traveltime and demonstrated the application of our automatic picking method on dynamite and Vibroseis field data.
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Tan, Yuyang, and Chuan He. "Improved methods for detection and arrival picking of microseismic events with low signal-to-noise ratios." GEOPHYSICS 81, no. 2 (March 1, 2016): KS93—KS111. http://dx.doi.org/10.1190/geo2015-0213.1.
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Detection and arrival picking of microseismic events with low signal-to-noise ratios (S/N) are problematic because these events are usually obscured by ambient noise. We have developed an intraevent coherence-based event detection method to address this problem. The innovations of this method include the adaptation of a crosscorrelation, least-squares-based algorithm to achieve better moveout correction for successive record segments and the use of a multichannel semblance coefficient to identify the microseismic events. After finding the events, we adopted a new picker to determine their P- and S-wave arrival times. This picker was developed by combining three aspects of the distinction between seismic signal and ambient noise, namely, the (1) amplitude, (2) polarization, and (3) statistic property differences. We evaluated the performance of the proposed methods using a real data set recorded during an 11-stage hydraulic fracture stimulation. We have determined that, for microseismic event detection, the proposed method has an overall false trigger rate of 12%. As for arrival picking, the average picking error of the new picker is [Formula: see text] and its standard deviation is [Formula: see text]. Comparison of the results of different event detection and arrival picking methods versus the S/N of the data demonstrates that the proposed methods are more applicable for detection and arrival picking of low S/N microseismic events.
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Chen, Yangkang. "Automatic microseismic event picking via unsupervised machine learning." Geophysical Journal International 212, no. 1 (September 27, 2017): 88–102. http://dx.doi.org/10.1093/gji/ggx420.
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Chu, C. K. P., and J. M. Mendel. "First break refraction event picking using fuzzy logic systems." IEEE Transactions on Fuzzy Systems 2, no. 4 (1994): 255–66. http://dx.doi.org/10.1109/91.324805.
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Burinskienė, Aurelija, and Tone Lerher. "Improving Retail Warehouse Activity by Using Product Delivery Data." Processes 9, no. 6 (June 17, 2021): 1061. http://dx.doi.org/10.3390/pr9061061.
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This paper presents a research study which is dedicated to the improvement in retail warehouse activity. This study aims to improve activity by identifying an efficient order picking strategy. (1) Background: The literature review shows the application of order picking strategies, but research related to their selection lacks an integrated approach. (2) Methods: The authors use the discrete event simulation method for the analysis of order picking strategies. The application of the discrete event simulation method enables various scenario tests in retail warehouses, allowing one to benchmark order picking strategies. By using the simulation model, experiments were designed to evaluate order picking strategies that are dependent on the delivery of the product distance variable. This research uses analysis of cost components and helps to identify the best possible order picking strategy to improve the overall warehouse performance. The authors benchmarked order picking strategies and presented constraints following product delivery data concerning their applications. (3) Results: The results presented show that the application of the order sorting strategy delivers 46.6% and the order batching strategy 6.7% lower costs compared to the single picking strategy. The results of the order batching strategy could be improved by 8.34% when the product clustering action is used. (4) Conclusions: The authors provide a theoretical framework which follows the application of order picking strategies using the product delivery data approach, which is the main scientific novelty of this paper. Recommendations are provided regarding the application of the proposed framework for the future improvement in retail warehouse activity.
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McCormack, Michael D., David E. Zaucha, and Dennis W. Dushek. "First‐break refraction event picking and seismic data trace editing using neural networks." GEOPHYSICS 58, no. 1 (January 1993): 67–78. http://dx.doi.org/10.1190/1.1443352.
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Interactive seismic processing systems for editing noisy seismic traces and picking first‐break refraction events have been developed using a neural network learning algorithm. We employ a backpropagation neural network (BNN) paradigm modified to improve the convergence rate of the BNN. The BNN is interactively “trained” to edit seismic data or pick first breaks by a human processor who judiciously selects and presents to the network examples of trace edits or refraction picks. The network then iteratively adjusts a set of internal weights until it can accurately duplicate the examples provided by the user. After the training session is completed, the BNN system can then process new data sets in a manner that mimics the human processor. Synthetic modeling studies indicate that the BNN uses many of the same subjective criteria that humans employ in editing and picking seismic data sets. Automated trace editing and first‐break picking based on the modified BNN paradigm achieve 90 to 98 percent agreement with manual methods for seismic data of moderate to good quality. Productivity increases over manual editing, and picking techniques range from 60 percent for two‐dimensional (2-D) data sets and up to 800 percent for three‐dimensional (3-D) data sets. Neural network‐based seismic processing can provide consistent and high quality results with substantial improvements in processing efficiency.
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Lumban Gaol, Y. H., R. K. Lobo, S. S. Angkasa, A. Abdullah, I. Madrinovella, S. Widyanti, A. Priyono, et al. "Preliminary Results of Automatic P-Wave Regional Earthquake Arrival Time Picking Using Machine Learning with STA/LTA As the Input Parameters." IOP Conference Series: Earth and Environmental Science 873, no. 1 (October 1, 2021): 012060. http://dx.doi.org/10.1088/1755-1315/873/1/012060.
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Abstract The Short Term Averaging/Long Term Averaging (STA/LTA) has been widely used to detect earthquake arrival time. The method simply calculates the ratio of moving average of the waveform amplitude at short and long-time windows. However, although STA/LTA signals can distinguish between real events and noise, we still recognize some lack of accuracies in first P wave arrival pickings. In this study, we attempt to implement one machine learning method popularly, Artificial Neural Network (ANN) that employ input, hidden and output layer similar as human brain works. Note that in this study, we also try to add input parameters with another derivative signal attributes such as Recursive STA/LTA and Carl STA/LTA. The processing step started by collecting event waveforms from the Agency of Meteorology, Climatology and Geophysics. We chose regional events with moment magnitude higher than 3 in the Maluku region Indonesia. Next, we apply all STA/LTA attributes to the input waveforms. We also tested our STA/LTA with synthetic data and additional noise. Further step, we manually picked the arrival of P wave events and used this as the output for ANN. In total, we used 100 events for arrival data training in P wave phases. In the validation process, an accuracy of more than 0.98 can be obtained after 200 iterations. Final outputs showed, that in average, the difference between manual picking and automatic picking from ANN is 0.45 s. We are able to increase the accuracy by band pass filter (0.1 – 3 Hz) all signal and improve the mean into 0.15s difference between manual picking and ANN picks.
Dissertations / Theses on the topic "Event picking"
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Franks, A. C. "A re-evaluation of Late Quaternary events in the eastern half of the Vale of Pickering." Thesis, Open University, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.377361.
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Mesa, Akhilesh. "A Methodology to Design Systems to Support Fulfillment of Online Grocery Orders." Ohio University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1610708317139122.
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Λόης, Αθανάσιος. "Τεχνικές επεξεργασίας ψηφιακού σεισμικού σήματος για χρήση στην τομογραφία υψηλής ανάλυσης." Thesis, 2013. http://hdl.handle.net/10889/7494.
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Αντικείμενο της παρούσας διδακτορικής διατριβής αποτελεί η μελέτη και ανάπτυξη νέων μεθοδολογιών αυτόματης επεξεργασίας σεισμολογικών δεδομένων, µε σκοπό την επίλυση σημαντικών προβλημάτων που συναντώνται στα πεδία των επιστημών της σεισμολογίας και της γεωφυσικής όπως: 1) η ανίχνευση μικροσεισμικών γεγονότων από µία καταγραφή, µε άλλα λόγια ο διαχωρισμός της καταγραφής σε τμήματα που αποτελούνται από εδαφικό θόρυβο και σε τμήματα που περιέχουν την χρήσιμη πληροφορία (σεισμικά γεγονότα) για τους γεωεπιστήμονες και 2) η εκτίμηση των χρόνων άφιξης των διαμήκων (P-) καθώς και των εγκαρσίων (S-) σεισμικών φάσεων.
Πιο αναλυτικά, η διατριβή είναι δομημένη ως εξής:
Το πρώτο κεφάλαιο αποτελεί την εισαγωγή της διατριβής.
Στο δεύτερο κεφάλαιο συγκεντρώνονται και κατηγοριοποιούνται όλες οι υπάρχουσες τεχνικές που έχουν αναπτυχθεί για την επίλυση του προβλήματος της αυτόματης ανίχνευσης σεισμικών γεγονότων καθώς και τον αυτόματο προσδιορισμό του χρόνου άφιξης των P και S σεισμικών φάσεων. Συγκεκριμένα γίνεται κατηγοριοποίηση αυτών σε τεχνικές που στηρίζονται στην ανάλυση και επεξεργασία των σεισμικών καταγραφών στα πεδία του χρόνου και της συχνότητας, στη χρήση νευρωνικών δικτύων, στην ανάλυση χρονικών σειρών και αυτοπαλινδρόμησης, στην ανάλυση της πόλωσης των κυμάτων, στις στατιστικές υψηλότερης τάξης, μεθόδους ασαφούς λογικής, κυματιδιακές μεθόδους κτλ.
Στο τρίτο κεφάλαιο, αναπτύσσεται νέα τεχνική για την επίλυση του προβλήματος της αυτόματης ανίχνευσης σεισμικών γεγονότων από μία καταγραφή, η οποία βασίζεται σε μία μη αυστηρή διαδικασία ελέγχου υποθέσεων. Η προτεινόμενη τεχνική πραγματοποιείται σε δύο στάδια. Κατά το πρώτο στάδιο εκτιμώνται οι εμπειρικές συναρτήσεις πυκνότητας πιθανότητας που προκύπτουν τόσο από τον εδαφικό θόρυβο όσο και από τα υπόλοιπα που προέκυψαν από την λεύκανση αυτού. Κατά το δεύτερο στάδιο προτείνεται στατιστικό τεστ τύπου κατωφλίωσης για την αυτόματη ανίχνευση μικροσεισμικών γεγονότων. Η προτεινόμενη τεχνική εφαρμόζεται σε συνθετικά και πραγματικά δεδομένα και συγκρίνεται με τον γνωστό αλγόριθμο του λόγου βραχυπρόθεσμου προς μακροπρόθεσμο μέσο (STA/LTA).
Στο τέταρτο κεφάλαιο παρουσιάζεται μέθοδος για την επίλυση του προβλήματος του αυτόματου προσδιορισμό του χρόνου άφιξης της P φάσης κάνοντας χρήση στατιστικών ανώτερης τάξης. Συγκεκριμένα, γίνεται χρήση των ποσοτήτων της λοξότητας, της κύρτωσης και μίας εκτίμησης της αντιεντροπίας ως γραμμικός συνδυασμός των παραπάνω. Επιπλέον παρουσιάζονται τα αποτελέσματα από την εφαρμογή της συγκεκριμένης τεχνικής σε συνθετικά αλλά και πραγματικά δεδομένα μικροσεισμικού δικτύου, κατάλληλα για χρήση στην παθητική σεισμική τομογραφία υψηλής ευκρίνειας. Τα αποτελέσματα αυτά συγκρίνονται με γνωστές ενεργειακές μεθόδους.
Στο πέμπτο κεφάλαιο, αναπτύσσεται νέα τεχνική για την επίλυση του προβλήματος της αυτόματης εκτίμησης του χρόνου άφιξης της S φάσης. Η προτεινόμενη τεχνική βασίζεται στην στατιστική επεξεργασία συγκεκριμένης χαρακτηριστικής συνάρτησης, η οποία προκύπτει από τις ιδιότητες πόλωσης των σεισμικών κυμάτων που έχουν καταγραφεί. Επιπλέον, για να ελαττωθεί η εξάρτηση του προτεινόμενου αλγορίθμου από το χρησιμοποιούμενο παράθυρο, ακολουθείται μια πολυ-παραθυρική προσέγγιση του προβλήματος σε συνδυασμό με χρήση συναρτήσεων βαρών οι οποίες εκτιμώνται αυτόματα και βασίζονται στις μεταβολές της ενέργειας του σήματος κατά τη S άφιξη. Τέλος, παρουσιάζονται τα αποτελέσματα της εφαρμογής της μεθόδου σε πραγματικά δεδομένα καθώς και η αξιολόγησή τους σε περιβάλλον θορύβου.
Στο έκτο κεφάλαιο, παρουσιάζονται τα αποτελέσματα της εφαρμογής των προτεινόμενων τεχνικών σε δεδομένα μικροσεισμικού δικτύου και συγκεκριμένα σε δεδομένα που προέκυψαν από πειράματα παθητικής σεισμικής τομογραφίας και τεχνητής υδραυλικής διάρρηξης που έλαβαν χώρα στην περιοχή Δέλβινο της ΝΔ Αλβανίας. Επιπλέον, γίνεται ανάλυση των αποτελεσμάτων βάσεις των δεικτών αβεβαιότητας που επέλεξαν οι αναλυτές στις εκτιμήσεις τους, καθώς και βάσει των λόγων σήματος θορύβου των καταγραφών.
Στο έβδομο κεφάλαιο παρατίθενται τα συμπεράσματα της παρούσας διδακτορικής διατριβής, καθώς και πιθανές μελλοντικές προεκτάσεις.The problems of seismic event detection and P- and S-phase arrival time estimation constitute important and vital tasks for the geoscientists. The solution of the aforementioned problems provides with important geophysical and seismological information, that can be used in a number of problems such as the structure of the earth’s interior, geotectonic settings, hypocentric and epicentric coordinates of an earthquake, the seismicity of an area and seismic hazard assessment. Traditionally, human experts have carried out this task. Nevertheless, during the last three decades due to the progress in computer technology, several methods have been developed for the automatic seismic event detection and P- and S- phase identification. After the introduction of the first chapter, in the second chapter the majority of the existing methods that have been developed and applied up to now, are gathered and categorized. These methods involve energy criteria, the seismic wave polarity assumption, artificial neural networks, higher order statistics, maximum likelihood methods, fuzzy logic methods etc. In the third chapter, a new thresholding type technique is proposed, tailored to fit real world situations where our knowledge on the statistical characteristics of the background noise process are unknown and a strict hypothesis testing framework can not be followed. In such cases the replacement of the unknown probability density function under the null hypothesis by its empirical counterpart, constitutes a possibility. In this work, a two stage procedure is proposed. The first one concerns the estimation of the empirical functions of the noise process itself as well as its whitened counterpart. In the second stage, using the above empirical functions, a thresholding scheme is proposed in order to solve the problem of the detection of seismic events in a non strict hypothesis testing framework. The performance of the proposed technique is confirmed by its application in a series of experiments both in synthetic and real seismic datasets. In the fourth chapter, the problem of automatic P-phase identification is solved using higher order statistics. The first- and second-order statistics (such as mean value, variance, autocorrelation, and power spectrum) are extensively used in signal processing to describe linear and Gaussian processes. In practice, many processes deviate from linearity and Gaussianity. Higher order statistics can be used for the study of such processes. The P-phase arrival time is estimated using these HOS parameters and additionally, an estimation of the negentropy defined as a linear combination of skewness and kurtosis. According to the implemented algorithm a moving window “slides” on the recorded signal, estimating skewness, kurtosis, and negentropy. Skewness can be considered as a measure of symmetry of the distribution, while kurtosis is a measure of heaviness of the tails, so they are suitable for detecting parts of the signal that do not follow the amplitude distribution of ambient noise. Seismic events have higher amplitudes in comparison to the seismic noise, and these higher values occupy the tails of the distribution (high degree of asymmetry of distribution). In the case of seismic events, skewness and kurtosis obtain high values, presenting maxima in the transition from ambient noise to the seismic events (P-arrival). The proposed algorithms are applied on synthetic as well as real seismic data and compared to well known energy based methods. Algorithms that deal with the automatic S-onset time identification problem, is a topic of ongoing research. Modern dense seismic networks used for earthquake location, seismic tomography investigations, source studies, early warning etc., demand accurate automatic S-wave picking. Most of the techniques that have been proposed up to now are mainly based on the polarization features of the seismic waves. In the fifth chapter, a new time domain method for the automatic determination of the S-phase arrival onsets is proposed and its implementation on local earthquake data is presented. Eigevalue analysis is taking place over small time intervals, and the maximum eigenvalue which is obtained on each step is retained for further processing. In this way a time series of maximum eigenvalues is formed, which serves as a characteristic function. A first S-phase arrival time estimation is obtained by applying the kurtosis criterion on the derived characteristic function. Furthermore, a multi-window approach combined with an energy-based weighting scheme is also applied, in order to reduce the algorithm’s dependence on the moving window’s length and provide a weighted S phase onset. Automatic picks are compared against manual reference picks and moreover the proposed technique is subjected to a noise robustness test. In the sixth chapter, the results of the implementation of the proposed techniques on microseismic data are presented. Specifically, the proposed methods are applied on two real sets of data. One dataset was been recorded during a Passive Seismic Tomography (PST) experiment, while the second one during the seismic monitoring of fracking operations. Both experiments took place in a hydrocarbon field in Delvina, SW Albania. These results are also analyzed, based on the arrival times and their uncertainty as they were evaluated by human analysts as well as the corresponding signal to noise ratio of the seismic records. Finally, the seventh chapter concludes this work and possible future extensions are discussed.
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Johnson, Stephanie. "Automatic P-wave Picking of Microseismic Events in Underground Mines." Thesis, 2014. http://hdl.handle.net/1974/12165.
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This thesis investigates microseismic P-wave arrival time detection performance of automatic picking algorithms, as well as the handpicking performance of human experts. The data set used in this project was collected from Malmberget mine (LKAB, Sweden) and the handpicked P-wave arrivals were prepared by multiple expert analysts from the Institute of Mine Seismology (IMS). Characterization of the event records in the data set was completed including the magnitude distribution of the events, noise content of the traces, and frequency spectrum of the traces. Three promising automatic P-wave picking algorithms from previous seismological research were investigated: the short-term average to long-term average ratio detector (STA/LTA), the characteristic function detector (CF), and the autoregressive modelling detector (ARfpe). Several versions of each algorithm were implemented, and the most promising versions were tested on the full dataset of microseismic events. The STA/LTA algorithm and CF algorithm were superior to the ARfpe algorithm in terms of accuracy and percentage of false negatives (missed P-wave arrival time picks). The analyst P-wave arrival times were compared and statistical distributions of the analyst P-wave arrival time differences were studied. The analyst P-wave arrival time difference and algorithm P-wave arrival time difference were defined as the mean analyst P-wave arrival time minus the specific analyst P-wave arrival time pick or the specific algorithm P-wave arrival time pick. The analyst and algorithm P-wave arrival time differences were combined into separate statistical distributions and compared. The analyst P-wave arrival time distribution lengths varied by a factor of 5, and the percentage of outliers in the distribution varied between 12% and 32%. The STA/LTA algorithm had comparable distribution statistics to the worst analyst P-wave arrival in terms of median value, distribution length, and percentage of outliers. However when the number of traces with automatic P-wave picks within the analyst handpicking range was calculated the STA/LTA algorithm had only 32.0% of picks and the CF algorithm had only 11.6% of picks.Thesis (Master, Mining Engineering) -- Queen's University, 2014-04-30 21:45:13.741
Books on the topic "Event picking"
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Picking up the pieces: Life after cancer. Bloomington, IN: Balboa Press, 2015.
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Push has come to shove: Getting our kids the education they deserve, even if it means picking a fight. New York: Crown, 2011.
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Ullmann-Margalit, Edna. Picking and Choosing. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198802433.003.0001.
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Sometimes people choose: they decide on the basis of reasons. But sometimes people are strictly indifferent as between the alternatives: they pick. Facing a row of Campbell’s soup cans in the supermarket poses a case for picking. Examples of picking, as opposed to choosing, turn out to be pervasive in human life, especially in commercialized societies, which would be much harder to navigate if people tried to choose instead. Even more, picking rather than choosing may underlie, at the core of our being, what we are.
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Push Has Come to Shove: Getting Our Kids the Education They Deserve - Even If It Means Picking a Fight. Crown Publishing Group, 2012.
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Rondinone, Troy. The Ship Goes Down. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252037375.003.0013.
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This chapter details events following Gaspar Ortega's loss to Emile Griffith. Dismantling the Indian placed Griffith firmly in the uppermost reaches of boxing royalty. He made fifty thousand dollars from the match and was named “boxer of the month” by the National Boxing Association. For Gaspar, the title battle with Griffith was not just a loss. He had let down his family, his country. Nick Corby called Gaspar on the phone one day while he was recovering from the Griffith fight. The loss had been physically ruinous and emotionally devastating. Now Corby proposed a new game plan: a tour. They would travel throughout Mexamerica, picking up every single fight they could find. Short on options and with nothing else to fall back on, Gaspar agreed.
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Pettigrew, Richard. Epistemic Risk and the Demands of Rationality. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780192864352.001.0001.
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Abstract How much does rationality constrain what we should believe on the basis of our evidence? According to this book, not very much. For most people and most bodies of evidence, there is a wide range of beliefs that rationality permits them to have in response to that evidence. The argument, which takes inspiration from William James’ ideas in ‘The Will to Believe’, proceeds from two premises. The first is a theory about the basis of epistemic rationality. It’s called epistemic utility theory, and it says that what it is epistemically rational for you to believe is what it would be rational for you to choose if you were given the chance to pick your beliefs and, when picking them, you were to care only about their epistemic value. So, to say which beliefs are permitted, we must say how to measure epistemic value, and which decision rule to use when picking your beliefs. The second premise is a claim about attitudes to epistemic risk, and it says that rationality permits many different such attitudes. These attitudes can show up in epistemic utility theory in two ways: in the way you measure epistemic value; and in the decision rule you use to pick beliefs. This book explores the latter. The result is permissivism about epistemic rationality: different attitudes to epistemic risk lead to different choices of prior beliefs; given most bodies of evidence, different priors lead to different posteriors; and even once we fix your attitudes to epistemic risk, if they are at all risk-inclined, there is a range of different priors and therefore different posteriors they permit.
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Koosed, Jennifer L. Sustenance and Survival in Biblical Narrative. Edited by Danna Nolan Fewell. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199967728.013.42.
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Food is a comprehensive cultural code. In ancient Israel and early Judaism, food production and preparation structured lives; what one did in the process was determined by gender and class status and sometimes even marked by ethnic and religious identity. Food also serves to structure narrative, shape characterization, and add layers of symbolic signification to story. In the Bible, the drama of the first few chapters revolves around proper versus improper eating, and the final book portrays God as a lamb sacrificed for the Passover meal. Between picking and tasting the forbidden fruit, and slaughtering and eating God, a whole host of food-related plots, characters, and images proliferate, many of which revolve around the most important of foodstuffs: bread. This chapter explores the centrality of bread in the story of Adam and Eve, the book of Ruth, and the gospels of Jesus.
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Mcgann, Eileen, and Dick Morris. Fleeced: How Washington Insiders, Foreign Lobbyists, Subprime Lenders, Credit Card Companies, Iraq Reconstruction Contractors, and Clinton Cronies Are Picking Our Pockets...AND WHAT TO DO. Harper, 2008.
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Cavanagh, Patrick, Lorella Battelli, and Alex Holcombe. Dynamic Attention. Edited by Anna C. (Kia) Nobre and Sabine Kastner. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199675111.013.016.
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The authors review how attention helps track and process dynamic events, selecting and integrating information across time and space to produce a continuing identity for a moving, changing target. Rather than a fixed ‘spotlight’ that helps identify a static target, attention needs a mobile window or ‘pointer’ to track a moving target, picking up pieces of evidence along the way to determine not just what the target is, but what it is doing. Behavioural studies show that this dynamic version of attention is model-based, using familiar trajectories to help identify a target and to guide encoding of continuing input from its path. Attention has very coarse temporal resolution for both static and moving targets. However, when the focus of selection is on the move, a given location on a moving target’s path can be selected for extremely brief instants, as little as 50 ms, compared to the typical ‘dwell time’ or minimum duration of attention selection at a fixed location, of 200 ms or more. To determine the path of a moving object, attention must accurately process and sort the onsets and offsets in order to match an offset to the subsequent onset. This aspect of dynamic attention has been called the ‘when’ pathway and patient studies show that it is a qualitatively different system from spatial attention, being completely based in the right parietal lobe for events in both hemifields. Finally, like the salience map of spatial attention, temporal attention may have its own map that guides allocation to upcoming, current, and recent moments to select information at the appropriate time, changing the experience of time as it does so.
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Smith, Ian, Aaron Baker, and Owen Warnock. Smith & Wood's Employment Law. Oxford University Press, 2019. http://dx.doi.org/10.1093/he/9780198824893.001.0001.
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Smith & Wood’s Employment Law draws on the extensive teaching and practical experience of its authors to provide students with a clear explanation of essential legislation and case detail while also offering incisive academic commentary and critical detail to help with essay preparation and class work. Throughout the book, topics are carefully explained in their social and historical context, providing readers with an insight into the fast-paced development of employment law and offering perceptive analysis of its future direction. This fourteenth edition has been produced against the background of the 2015 and 2017 elections and of course with the largest elephant in the room of the result of the referendum on membership of the EU. The meaning of the latter remains a matter of almost complete uncertainty even t the time of writing two years later, and indeed is likely to remain so for much of the currency of this edition, but where appropriate it contains speculation as to possible effects. At the opposite end of the spectrum, this edition also contains the up-to-date case law on detailed employment law developments such as ACAS early conciliation, whistleblowing, discrimination law across all the forms of protected characteristics, and the whole question of the effect of modern phenomena such as social media use on traditional areas of employment law. On the collective level, this edition includes a consideration of the impact of the Trade Union Act 2016 on the calling of industrial action, picketing and time off for union activites and the latest decisions of the European Court of Human Rights, the EFTA Court and the UK courts on the impact of human rights law and of EU economic freedoms on collective labour law, in particular in relation to union recognition for bargaining and in relation to the banning of industrial action. It also considers whether the 2018 amendments to the Posted Workers Directive have any impact on the legality of any industrial action which affects the EU freedom to provide services across the boundaries of member states. More generally, it examines the extent to which workers and unions have legal protection for collective action relating to members of the gig economy Finally, the changes to the style and layout of the book adopted in the last edition have been maintained, in order to aid accessibility for the reader, given the ever-increasing complexity of the law itself here.
Book chapters on the topic "Event picking"
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Vidgof, Maxim, Djordje Djurica, Saimir Bala, and Jan Mendling. "Cherry-Picking from Spaghetti: Multi-range Filtering of Event Logs." In Enterprise, Business-Process and Information Systems Modeling, 135–49. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49418-6_9.
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Schwan, Constanze, and Wolfram Schenck. "Design of Interpretable Machine Learning Tasks for the Application to Industrial Order Picking." In Technologien für die intelligente Automation, 291–303. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-662-64283-2_21.
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AbstractState-of-the-art methods in image-based robotic grasping use deep convolutional neural networks to determine the robot parameters that maximize the probability of a stable grasp given an image of an object. Despite the high accuracy of these models they are not applied in industrial order picking tasks to date. One of the reasons is the fact that the generation of the training data for these models is expensive. Even though this could be solved by using a physics simulation for training data generation, another even more important reason is that the features that lead to the prediction made by the model are not human-readable. This lack of interpretability is the crucial factor why deep networks are not found in critical industrial applications. In this study we suggest to reformulate the task of robotic grasping as three tasks that are easy to assess from human experience. For each of the three steps we discuss the accuracy and interpretability. We outline how the proposed three-step model can be extended to depth images. Furthermore we discuss how interpretable machine learning models can be chosen for the three steps in order to be applied in a real-world industrial environment.
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"Unordered Event Picking for BDD Risk Analysis (PSAM-0060)." In Proceedings of the Eighth International Conference on Probabilistic Safety Assessment & Management (PSAM), 1804–12. ASME Press, 2006. http://dx.doi.org/10.1115/1.802442.paper223.
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Cruz-Mejía, Oliverio. "Order Picking Performance in Warehouses With Multi-Item Orders." In Advances in Human Resources Management and Organizational Development, 443–52. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8131-4.ch026.
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Internet sales have increased exponentially in the last decade. Much of the internet sales are of physical products in urban areas that require product delivery transportation with a tight delivery lead time. With this challenge, a new type of transportation services has been developed aiming to cope with a strict control of transportation lead time. In this chapter, an internet product delivery service with customer orders that are multi-item as well as single item is simulated. The authors address specifically the mismatch between supply and demand when retailers for any reason are unable to estimate the configuration of multi-item orders. Three scenarios of demand patterns are simulated (demand as forecasted, lower than forecasted, and higher than forecasted) using discrete-event simulation to look at the effect on transportation lead time. Results show the positive effect on the mismatch between demand and resource capacity which is expressed in higher number delayed delivery orders. The excess of capacity in the product delivery supply chain has not had a positive impact on delivery time of orders.
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Shreve, Grant. "Nephite Secularization; or, Picking and Choosing in The Book of Mormon." In Americanist Approaches to The Book of Mormon, 207–30. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190221928.003.0009.
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This chapter considers The Book of Mormon as a singular literary reflection on secularization as an effect of religious pluralism. The defining event in Joseph Smith’s early life was a visionary experience occasioned by a crisis over religious choice, wherein conversion is refigured as persuasion. Although published more than a decade later, The Book of Mormon stands as a monumental historical interrogation of the conditions that gave rise to this crisis and an archive of narrative and theological strategies for its resolution. Curiously, the book bypasses European church history entirely to recast standard narratives of secularization—such as those proposed by Charles Taylor and Peter Berger—in distinctly New World terms. Throughout this counterhistory, The Book of Mormon attempts to reconcile tacit commitments to religious choice and an egalitarian attitude toward divine revelation with the need for an orthodox center. It ultimately discovers a resolution not in theology but in narratology.
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Buyurgan, Nebil, and Paiman Farrokhvar. "An Analysis on Supply-Chain-Related Adverse Events." In Advances in Healthcare Information Systems and Administration, 123–39. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5460-8.ch007.
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This chapter presents an investigation on supply-chain-related adverse events and patient safety in healthcare. Based on site visits and phone interviews with six healthcare providers, material handling and administrative processes are determined in a typical healthcare supply chain. Then a simulation model is developed to determine correct product validation practices and procedures for maximum patient safety. Benefits of standard product identifying technologies and automated validation systems are also explored to minimize workflow interruptions. Different scenarios are compared for patient safety, care delay, and system efficiency. The results show that validation points during PAR picking or bedside product administration, and warehouse picking operations provide optimal overall system performance. The results also indicate that standard product-identifying technologies and automated validation systems significantly impact the efficiency of supply chain.
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Saucedo, Luis Enrique Cisneros, Julia Patricia Sanchez-Solis, Francisco López-Ramos, and Jorge Rodas-Osollo. "Implementation of an Artificial Bee Colony to Solve an Order Picking Problem." In Advances in Human Resources Management and Organizational Development, 144–60. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8131-4.ch007.
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The artificial bee colony (ABC) algorithm is an optimization method based on swarm intelligence which has demonstrated to be capable of obtaining satisfactory results on a diversity of optimization problems. However, the implementation of this optimization method hasn't been much explored on order picking problems, even though order picking represents up to 55% of the total operational cost of a typical warehouse. The order picking problem has even more importance on nonprofit organizations like food banks since they operate with a limited budget. In this chapter, the authors implemented an ABC algorithm to solve the order picking problem within a food bank. The goal was to determine which parameter values contribute the most during the optimization process. Experiments were conducted using nine sets of parameters for the ABC; results show that the approach is suitable for the study case.
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Prause, Christian R., Marc Jentsch, and Markus Eisenhauer. "MICA." In Mobile and Handheld Computing Solutions for Organizations and End-Users, 149–73. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2785-7.ch009.
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Thousands of small and medium-sized companies world-wide have non-automated warehouses. Picking orders are manually processed by blue-collar workers; however, this process is highly error-prone. There are various kinds of picking errors that can occur, which cause immense costs and aggravate customers. Even experienced workers are not immune to this problem. In turn, this puts a high pressure on the warehouse personnel. In this paper, the authors present a mobile assistance system for warehouse workers that realize the new Interaction-by-Doing principle. MICA unobtrusively navigates the worker through the warehouse and effectively prevents picking errors using RFID. In a pilot project at a medium-sized enterprise the authors evaluate the usability, efficiency, and sales potential of MICA. Findings show that MICA effectively reduces picking times and error rates. Consequentially, job training periods are shortened, while at the same time pressure put on the individual worker is reduced. This leads to lower costs for warehouse operators and an increased customer satisfaction.
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Vaccari, Cristian, and Augusto Valeriani. "Picking Winners or Helping Losers?" In Outside the Bubble, 155–82. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190858476.003.0006.
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Engaging with supportive viewpoints, accidentally encountering news, and being exposed to electoral mobilization on social media boost political participation among less politically involved users to a significantly greater extent than among those who are already involved. While both groups benefit, the less involved benefit more, and, thus, social media can help narrow, or even obliterate, participatory gaps rooted in different levels of motivation. By contrast, the participatory gains associated with political experiences on social media are evenly distributed across voters of different ideological views. Overall, political experiences on social media are not contributing to political polarization, in the sense of disproportionately enhancing participation among ideologically extreme voters. There is also little evidence that social media yield greater participatory benefits for users who voted for populist parties, or that they substantially tilt the competitive balance in favor of one particular set of political actors on the left or the right.
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Watkin, Sara, and Andrew Vincent. "If You Do Not Get the Job." In The Consultant Interview. Oxford University Press, 2011. http://dx.doi.org/10.1093/oso/9780199594801.003.0018.
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If you do not get the job you are bound to feel disappointed, particularly if you have worked really hard in preparation. Remember, there can only be one appointment and it is possible you did everything right on the day and it sadly came down to something tiny. Interview panels can deliberate for hours, but the answer you get is still either ‘yes’ or ‘no’ and, if it’s the latter, it hurts. However, it is important to both learn from the experience through feedback and reflection and pick yourself up and start again, positively and proactively. This chapter looks at: • Getting effective feedback • Reflecting on that feedback • Common feedback • Picking yourself up and starting again You should always be offered feedback if you are unsuccessful at interview and it is really important that you accept this, despite how hurt you may feel in the aftermath. Indeed, if you are not offered feedback, always ask for it because it is an essential component of either improving next time or perhaps even not changing your approach at all. If someone else had a skill you just didn’t have, you can’t easily change that in short order and so if everything else was spot on, don’t break the formula! The best time to have feedback is some days after the event but close enough that you can remember what happened. Having feedback immediately after being told you were unsuccessful is likely to be less productive, as you are carrying the pain of rejection and normal defence mechanisms make it more likely that you will reject the feedback. Remember, feedback on a failure to be appointed is much like receiving bad news in medicine and, as we were taught in medical school, when given bad news most of us will not hear beyond those first few words, in our case ‘Sorry you have been unsuccessful’. By letting the dust settle and then approaching it with a mindset that says ‘This will help me learn, improve and be successful next time’, we can utilize the feedback to hone our approach to the next level.
Conference papers on the topic "Event picking"
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Alexandrov, E., I. Alexandrov, D. Barberis, F. Prokoshin, and A. Yakovlev. "DEVELOPMENT OF THE ATLAS EVENT PICKING SERVER." In 9th International Conference "Distributed Computing and Grid Technologies in Science and Education". Crossref, 2021. http://dx.doi.org/10.54546/mlit.2021.35.43.001.
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During LHC Run 2, the ATLAS experiment collected almost 20 billion real data events and producedabout three times more simulated events. During physics analysis it is often necessary to retrieve oneor more events to inspect their properties in detail and check their reconstruction parameters.Occasionally it is also necessary to select larger samples of events in RAW format to reconstruct themwith enhanced code. The new Event Picking Server automates the procedure of finding the location ofthe events using the EventIndex and submitting the Grid jobs to retrieve the individual events from thefiles in which they are stored.
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Thompson, Troy A., Matthew G. Lamont, Bruce M. Hartley, and Michael E. Glinsky. "Prestack hyperspace propagation for automated event picking." In SEG Technical Program Expanded Abstracts 2004. Society of Exploration Geophysicists, 2004. http://dx.doi.org/10.1190/1.1851196.
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Baek, Hyoungsu. "Event picking for enhanced warping-based inference." In SEG Technical Program Expanded Abstracts 2017. Society of Exploration Geophysicists, 2017. http://dx.doi.org/10.1190/segam2017-17687467.1.
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Li, Shuang, Yang Cao, Christina Leamon, Yao Xie, Lei Shi, and WenZhan Song. "Online seismic event picking via sequential change-point detection." In 2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2016. http://dx.doi.org/10.1109/allerton.2016.7852311.
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"Event-based modeling and simulation for optimizing order picking." In the 21st International Conference on Modelling and Applied Simulation. CAL-TEK srl, 2022. http://dx.doi.org/10.46354/i3m.2022.mas.019.
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Zhao, T., P. Bilsby, P. Bilsby, S. Manikani, G. Busanello, M. Benzaoui, and A. Abubakar. "Deep Learning Ensemble for Seismic First-Break Event Picking." In 83rd EAGE Annual Conference & Exhibition. European Association of Geoscientists & Engineers, 2022. http://dx.doi.org/10.3997/2214-4609.202210425.
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Liu, Jinjun, and Weishan Han. "Automatic event picking and tomography on 3D RTM angle gathers." In SEG Technical Program Expanded Abstracts 2010. Society of Exploration Geophysicists, 2010. http://dx.doi.org/10.1190/1.3513760.
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Song, Fuxian, Sadi H. Kuleli, Nafi M. Toksoz, Haijiang Zhang, Bruce Cornish, John Quirein, Donghong Pei, and Steve Zannoni. "Improved methods for hydro‐frac event detection and phase picking." In Beijing 2009 International Geophysical Conference and Exposition. Society of Exploration Geophysicists, 2009. http://dx.doi.org/10.1190/1.3603688.
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Tselentis, G‐Akis, Nikolaos Martakis, Paraskevas Paraskevopoulos, Athanasios Lois, and Efthimios Sokos. "A method for microseismic event detection and P‐phase picking." In SEG Technical Program Expanded Abstracts 2011. Society of Exploration Geophysicists, 2011. http://dx.doi.org/10.1190/1.3627517.
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Tan*, Yuyang, Chuan He, Jing Yu, and Gang Feng. "A combined method for automatic microseismic event detection and arrival picking." In SEG Technical Program Expanded Abstracts 2014. Society of Exploration Geophysicists, 2014. http://dx.doi.org/10.1190/segam2014-0764.1.
Full textReports on the topic "Event picking"
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Clark, G. A., M. E. Glinsky, K. R. S. Devi, J. H. Robinson, P. K. Z. Cheng, and G. E. Ford. Automatic event picking in pre-stack migrated gathers using a probabilistic neural network. Office of Scientific and Technical Information (OSTI), April 1996. http://dx.doi.org/10.2172/394450.
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Visser, R., H. Kao, R. M. H. Dokht, A. B. Mahani, and S. Venables. A comprehensive earthquake catalogue for northeastern British Columbia: the northern Montney trend from 2017 to 2020 and the Kiskatinaw Seismic Monitoring and Mitigation Area from 2019 to 2020. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/329078.
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To increase our understanding of induced seismicity, we develop and implement methods to enhance seismic monitoring capabilities in northeastern British Columbia (NE BC). We deploy two different machine learning models to identify earthquake phases using waveform data from regional seismic stations and utilize an earthquake database management system to streamline the construction and maintenance of an up-to-date earthquake catalogue. The completion of this study allows for a comprehensive catalogue in NE BC from 2014 to 2020 by building upon our previous 2014-2016 and 2017-2018 catalogues. The bounds of the area where earthquakes were located were between 55.5°N-60.0°N and 119.8°W-123.5°W. The earthquakes in the catalogue were initially detected by machine learning models, then reviewed by an analyst to confirm correct identification, and finally located using the Non-Linear Location (NonLinLoc) algorithm. Two distinct sub-areas within the bounds consider different periods to supplement what was not covered in previously published reports - the Northern Montney Trend (NMT) is covered from 2017 to 2020 while the Kiskatinaw Seismic Monitoring and Mitigation Area (KSMMA) is covered from 2019 to 2020. The two sub-areas are distinguished by the BC Oil & Gas Commission (BCOGC) due to differences in their geographic location and geology. The catalogue was produced by picking arrival phases on continuous seismic waveforms from 51 stations operated by various organizations in the region. A total of 17,908 events passed our quality control criteria and are included in the final catalogue. Comparably, the routine Canadian National Seismograph Network (CNSN) catalogue reports 207 seismic events - all events in the CNSN catalogue are present in our catalogue. Our catalogue benefits from the use of enhanced station coverage and improved methodology. The total number of events in our catalogue in 2017, 2018, 2019, and 2020 were 62, 47, 9579 and 8220, respectively. The first two years correspond to seismicity in the NMT where poor station coverage makes it difficult to detect small magnitude events. The magnitude of completeness within the KSMMA (ML = ~0.7) is significantly smaller than that obtained for the NMT (ML = ~1.4). The new catalogue is released with separate files for origins, arrivals, and magnitudes which can be joined using the unique ID assigned to each event.
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Farahbod, A. M., H. Kao, and D. Snyder. An earthquake catalogue for seismic events in the Norman Wells region of the central Mackenzie Valley, Northwest Territories, using waveform data from local seismic stations. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/328953.
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The development of unconventional hydrocarbon resources in the Norman Wells region of the Central Mackenzie Valley, Northwest Territories, has been explored by the energy industry. In early 2014, Conoco-Philips Canada conducted two multi-stage test operations of hydraulic fracturing (HF) in the region. In this study, we combine seismic data from the Canadian National Seismograph Network, four new stations established by the Northwest Territories Geoscience Office in collaboration with Natural Resources Canada in the Norman Wells region, and a local dense array installed by Conoco-Philips Canada to study the seismicity distribution during the pre-HF, HF and post-HF periods. We have identified and located 130 earthquakes within 100 km of the geographic centre of the local seismic network near Norman Wells for the pre-HF period (11 September 2013 - 7 February 2014). In comparison, 231 events are located during the HF period (8 February 2014 - 10 March 2014), and for the two post-HF periods, 11 March 2014 - 31 July 2014 and 27 February 2015 - 31 December 2015, we have catalogued 255 and 138 events, respectively. Source parameters and detailed phase pickings of each earthquake are given in the Appendices.
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Hodul, M., H. P. White, and A. Knudby. A report on water quality monitoring in Quesnel Lake, British Columbia, subsequent to the Mount Polley tailings dam spill, using optical satellite imagery. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330556.
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In the early morning on the 4th of August 2014, a tailings dam near Quesnel, BC burst, spilling approximately 25 million m3 of runoff containing heavy metal elements into nearby Quesnel Lake (Byrne et al. 2018). The runoff slurry, which included lead, arsenic, selenium, and vanadium spilled through Hazeltine Creek, scouring its banks and picking up till and forest cover on the way, and ultimately ended up in Quesnel Lake, whose water level rose by 1.5 m as a result. While the introduction of heavy metals into Quesnel Lake was of environmental concern, the additional till and forest cover scoured from the banks of Hazeltine Creek added to the lake has also been of concern to salmon spawning grounds. Immediate repercussions of the spill involved the damage of sensitive environments along the banks and on the lake bed, the closing of the seasonal salmon fishery in the lake, and a change in the microbial composition of the lake bed (Hatam et al. 2019). In addition, there appears to be a seasonal resuspension of the tailings sediment due to thermal cycling of the water and surface winds (Hamilton et al. 2020). While the water quality of Quesnel Lake continues to be monitored for the tailings sediments, primarily by members at the Quesnel River Research Centre, the sample-and-test methods of water quality testing used, while highly accurate, are expensive to undertake, and not spatially exhaustive. The use of remote sensing techniques, though not as accurate as lab testing, allows for the relatively fast creation of expansive water quality maps using sensors mounted on boats, planes, and satellites (Ritchie et al. 2003). The most common method for the remote sensing of surface water quality is through the use of a physics-based semianalytical model which simulates light passing through a water column with a given set of Inherent Optical Properties (IOPs), developed by Lee et al. (1998) and commonly referred to as a Radiative Transfer Model (RTM). The RTM forward-models a wide range of water-leaving spectral signatures based on IOPs determined by a mix of water constituents, including natural materials and pollutants. Remote sensing imagery is then used to invert the model by finding the modelled water spectrum which most closely resembles that seen in the imagery (Brando et al 2009). This project set out to develop an RTM water quality model to monitor the water quality in Quesnel Lake, allowing for the entire surface of the lake to be mapped at once, in an effort to easily determine the timing and extent of resuspension events, as well as potentially investigate greening events reported by locals. The project intended to use a combination of multispectral imagery (Landsat-8 and Sentinel-2), as well as hyperspectral imagery (DESIS), combined with field calibration/validation of the resulting models. The project began in the Autumn before the COVID pandemic, with plans to undertake a comprehensive fieldwork campaign to gather model calibration data in the summer of 2020. Since a province-wide travel shutdown and social distancing procedures made it difficult to carry out water quality surveying in a small boat, an insufficient amount of fieldwork was conducted to suit the needs of the project. Thus, the project has been put on hold, and the primary researcher has moved to a different project. This document stands as a report on all of the work conducted up to April 2021, intended largely as an instructional document for researchers who may wish to continue the work once fieldwork may freely and safely resume. This research was undertaken at the University of Ottawa, with supporting funding provided by the Earth Observations for Cumulative Effects (EO4CE) Program Work Package 10b: Site Monitoring and Remediation, Canada Centre for Remote Sensing, through the Natural Resources Canada Research Affiliate Program (RAP).