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Artykuły w czasopismach na temat "TREND EXPLORATION TECHNIQUE"
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Jameel, M., B. Darmas i AL Baker. "Trend towards Primary Closure Following Laparoscopic Exploration of the Common Bile Duct". Annals of The Royal College of Surgeons of England 90, nr 1 (styczeń 2008): 29–35. http://dx.doi.org/10.1308/003588408x242295.
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INTRODUCTION The aim of this study was the assessment of patient outcome, peri-operative complications, length of stay and duration of operation after laparoscopic primary closure of the common bile duct (CBD) compared with choledochotomy with T-tube drainage and trans-cystic exploration. PATIENTS AND METHODS Analysis of prospectively collected data on 71 explorations of the common bile duct between July 2001 and March 2006. RESULTS A total of 71 patients had exploration of the CBD. Within this group, 12 were referred after failed endoscopic retrograde cholangiopancreatography (ERCP). The methods of exploration included trans-cystic (9 cases), choledochotomy with Ttube (12), and choledochotomy with primary closure (50). CBD stones were found in 66 patients. In the remaining cases, we found a stricture in 1, debris in 2, and dilatation of the CBD without a stone in 2. There were 5 conversions to open technique and 3 patients required postoperative ERCP (1 with permanent stenting). Peri-operative complications included T-tube (3), primary closure group (9), and trans-cystic (0). There was no statistical significant difference (Chi-square test, P = 0.296) between the groups. There was a trend towards a shorter length of stay in the primary closure group as compared with the trans-cystic and T-tube groups of 4.16, 4.44, and 6.33 days, respectively. However, it did not reach statistical significance (one-way analysis of variance with Boneferroni correction, mean difference between groups 1.89, 0.28, 2,17, statistical significance at P < 0.05). The shortest operating time was in the primary closure group (95.92 min) which was statistically significant (P < 0.001). We did not use a biliary drain in the last 48 patients. CONCLUSIONS Primary laparoscopic closure of the CBD is safe and results in a reduction in operating time. Choledochoscopy ensures clearance of the CBD and eliminates the need for T-tube.
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Vaughan, P. S. "NORTH WEST SHELF 3-D SEISMIC—A DECADE OF DEVELOPMENTS". APPEA Journal 33, nr 1 (1993): 315. http://dx.doi.org/10.1071/aj92022.
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Woodside as Operator, on behalf of three Joint Venture groups, over the last decade has acquired eight 3-D seismic surveys covering some 4 600 km2 over the Rankin Trend and Dampier Sub-Basin Production Licences and Exploration Permits on the North West Shelf of Australia. This area represents approximately 45 per cent coverage of the present Woodside operated acreage in the area. The acquisition, processing and interpretation technology and also the benefits derived from the 3-D technique have changed remarkably since the first North West Shelf 3-D survey in 1981. This paper focusses on the main technological developments in 3-D seismic, particularly involving multi-source and streamer technology, increased spatial sampling and interpretation techniques which have changed the role of 3-D seismic in Exploration strategies through the 1980s and into the 1990s.
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Zhang, Chun Hua, Guo Ying Meng, Guang Hua Liu, Li Min Sheng i Yan Fu Huang. "Introduction of Near-Bit Geosteering Drilling Technology and Instrument Application in Thin Oil Exploration". Advanced Materials Research 228-229 (kwiecień 2011): 889–93. http://dx.doi.org/10.4028/www.scientific.net/amr.228-229.889.
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The near-bit geosteering drilling technology is a new high-tech .It integrats the techniques of drilling, logging and reservoir engineering. The paper introduced the application of this technology in oil exploration. CGDS is a kind of production of this technology applications. The paper introduced the structure ,function, parameters of CGDS production and its application in oil field. CGDS is recognized as the high and new technique in 21 century which ensures you to achieve the best place of a wellbore within a reservoir by providing geological, engineering parameter measurements and while drilling monitoring. With excellent ability of identification of hydrocarbon reservoir and direction guide, CGDS assists you to adjust and control the wellbore trace in real time according to the information of formation features. Through the introduction of this instrument,We can know more about the near-bit geosteering drilling technology The application prospect and development trend of the geosteering drilling system were also discussed.
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Gruzdev, R. V. "PROCESSING OF GRAVITY ANOMALIES BASED ON FIELD APPROXIMATIONS BY THE LEAST SQUARES METHOD (ON THE EXAMPLE OF EASTERN TRANSBAIKALIA)". Geology and mineral resources of Siberia, nr 1 (2023): 44–49. http://dx.doi.org/10.20403/2078-0575-2023-1-44-49.
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An alternative technique for gravimetric data processing using approximations of the gravity anomaly field by the reduction surface is described. The approach peculiarity is the representation of reductions in the form of regional trend, where the correction for an interbedded layer is excluded without a certain density value. The field approximation algorithm is based on the least squares method. The results of research, conclusions and recommendations for the gravity anomalies at other geological exploration targets are presented.
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Huang, Shi Ming, David C. Yen, Ting Jyun Yan i Yi Ting Yang. "An Intelligent Mechanism to Automatically Discover Emerging Technology Trends: Exploring Regulatory Technology". ACM Transactions on Management Information Systems 13, nr 2 (30.06.2022): 1–29. http://dx.doi.org/10.1145/3485187.
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Technology trend analysis uses data relevant to historical performance and extrapolates it to estimate and assess the future potential of technology. Such analysis is used to analyze emerging technologies or predict the growing markets that influence the resulting social or economic development to assist in effective decision-making. Traditional trend analysis methods are time-consuming and require considerable labor. Moreover, the implemented processes may largely rely on the specific knowledge of the domain experts. With the advancement in the areas of science and technology, emerging cross-domain trends have received growing attention for its considerable influence on society and the economy. Consequently, emerging cross-domain predictions that combine or complement various technologies or integrate with diverse disciplines may be more critical than other tools and applications in the same domain. This study uses a design science research methodology, a text mining technique, and social network analysis (SNA) to analyze the development trends concerning the presentation of the product or service information on a company's website. This study applies regulatory technology (RegTech) as a case to analyze and justify the emerging cross-disciplinary trend. Furthermore, an experimental study is conducted using the Google search engine to verify and validate the proposed research mechanism at the end of this study. The study results reveal that, compared with Google Trends and Google Correlate, the research mechanism proposed in this study is more illustrative, feasible, and promising because it reduces noise and avoids the additional time and effort required to perform a further in-depth exploration to obtain the information.
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Zhao, Yijie. "Bigdata Technique Implementation in Bank Industry: Evidence from China". Highlights in Science, Engineering and Technology 49 (21.05.2023): 272–79. http://dx.doi.org/10.54097/hset.v49i.8518.
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With the continuous maturity and progress of cloud computing, intelligent tools, Internet of Things technology and other technologies, society has entered the era of big data, which is both a challenge and an opportunity for all traditional industries. As the pillar of national economy, the financial industry should comply with the trend of the time, comprehensively analyze the impact, use big data to analyze and mine effective information and reasonably apply it to the operation of banks. Finding the path of change is the key to foster the synchronous and long-term development of the banking industry in the new era. To achieve the aim of promoting the innovation and reform of the banking industry effectively, it’s necessary to dig the answers from the examples of big data application. This study introduces the basic concepts and analysis methods of big data, shows the typical application of big data in Chinese banks, mines the convergence between banking and big data, analyzes the existing problems of big data finance and puts forward solutions. In addition, this research looks forward to the future intelligent and regular big data technique implementation in the financial industry. Overall, these results shed light on guiding further exploration of the big data implementation in financial industry.
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Ahn, Dongbin, i Ji Hye Kwak. "Role and Recent Trend of Intraoperative Parathyroid Hormone Monitoring During Parathyroidectomy in Patients With Primary Hyperparathyroidism". Korean Journal of Otorhinolaryngology-Head and Neck Surgery 65, nr 5 (21.05.2022): 253–59. http://dx.doi.org/10.3342/kjorl-hns.2022.00332.
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In the last few decades, the standard surgical treatment for primary hyperparathyroidism (PHPT) has shifted from bilateral neck exploration to focused/minimally invasive parathyroidectomy (FMIP). This shift was accelerated by the introduction of intraoperative parathyroid hormone (IOPTH) monitoring, which can provide intraoperative information regarding the localization and complete excision of the pathological parathyroid gland during FMIP. Since the first clinical application of the IOPTH assay in 1991, IOPTH monitoring has substantially improved to date to increase its performance and availability. In addition, the clinical applications of IOPTH changed with the needs of actual clinical practice, although the fundamental concept and technique remained unchanged. In this review, we discuss the role of IOPTH monitoring in the surgical management of PHPT based on the results of contemporary studies and summarized the major issues regarding IOPTH.
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Farsaci, Francesco, Ester Tellone, Antonio Galtieri i Silvana Ficarra. "Thermodynamics Characterization of Lung Carcinoma, Entropic Study and Metabolic Correlations". Fluids 5, nr 4 (26.09.2020): 164. http://dx.doi.org/10.3390/fluids5040164.
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In recent years, the use of dielectric spectroscopy as an investigation technique to determine the chemical–physical characteristics of biological materials has had a great increase. This study used the non-equilibrium thermodynamics with internal variables theory to test the potential pathological features of lung cancer. After a brief exploration of the dielectric polarization concept highlighting some aspects that were used, some thermodynamic functions were obtained as functions of the frequency, both for lung tumor cells and physiological ones. Variations in the intensity of values but not in the trend of the curves were observed and this was attributed to the perturbing field. The trend of this field explains the behavior of phenomena described by other functions, as related to the frequencies of the perturbing field. Compared to the physiological ones, the cancer cells appeared to be “more predisposed” to conserve their state as characterized by minor entropy production, probably because this helped cells to obtain the required adenosine triphosphate (ATP) from the minimum amount of nutrients.
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K., Ganesh Kumar, Chamkha Ali J., Prasannakumara B.C. i Jyothi A.M. "Exploration of particle shape effect on Cu-H2O nanoparticles over a moving plate". International Journal of Numerical Methods for Heat & Fluid Flow 30, nr 4 (19.06.2019): 1867–79. http://dx.doi.org/10.1108/hff-10-2018-0539.
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Purpose This paper aims to explore particle shape effect on Cu-H2O nanoparticles over a moving plate in the presence of nonlinear thermal radiation. To characterize the effect, particle shape and viscous dissipation are considered. Convergent solutions for the resulting nonlinear systems are derived and the effects of embedded parameters of interest on velocity and temperature field are examined. Design/methodology/approach The Runge–Kutta–Fehlberg fourth-fifth order method along with shooting technique is used to solve the governing equations (6) and (7) with boundary conditions (8). A suitable finite value of η∞ is considered in such a way that the boundary conditions are satisfied asymptotically. Findings The results show an increase in both the heat transfer and thermodynamic performance of the system. However, among the three nanoparticle shapes, disk shape exhibited better heat transfer characteristics and heat transfer rate. On the other hand, the velocity profile enhances with increasing values of ϕ in the first solution, but the opposite trend was found in the second solution. Originality/value The present paper deals with an exploration of particle shape effect on Cu-H2O nanoparticles over a moving plate in the presence of nonlinear thermal radiation. To characterize the effect, particle shape and viscous dissipation are considered. Convergent solutions for the resulting nonlinear systems are derived and the effects of embedded parameters of interest on velocity and temperature field are examined. The skin friction coefficient and Nusselt number are numerically tabulated and discussed. The results show an increase in both heat transfer and thermodynamic performance of the system. However, among the three nanoparticle shapes, disk shape exhibited better heat-transfer characteristics and heat-transfer rate. On the other hand, the velocity profile enhances with increasing values of ϕ in the first solution, but the opposite trend was found in the second solution.
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Lucazeau, Francis, i Hammed Ben Dhia. "Preliminary heat-flow density data from Tunisia and the Pelagian Sea". Canadian Journal of Earth Sciences 26, nr 5 (1.05.1989): 993–1000. http://dx.doi.org/10.1139/e89-080.
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Heat-flow density values at 78 sites in Tunisia and the Pelagian Sea are derived from oil exploration wells. Bottom-hole temperatures (BHT) are systematically corrected for mud circulation cooling effects either by a Horner technique when several temperature records are available at a given depth or by a statistical method based on the comparison of all BHT with test temperatures (DST) that are representative of the actual formation temperatures. Thermal conductivities are estimated from detailed studies of stratigraphic and geophysical logs. An inverse technique is used to estimate heat-flow density for each borehole, as well as interpolated temperatures at constant depths. Results are discussed with maps that include heat-flow density data in neighbouring areas (Algeria and the Strait of Sicily). The general trend corresponds remarkably to the recent structural evolution of the Tunisian margin with high values in the Pelagian Sea and decreasing values toward the stable platform.
Rozprawy doktorskie na temat "TREND EXPLORATION TECHNIQUE"
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BHARDWAJ, PRASHANT. "REMAINING USEFUL LIFE ESTIMATION FOR CUTTING TOOLS BY STATISTICAL TREND EXPLORATION AND STOCHASTIC MARKOV APPROACHES". Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14978.
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This thesis deals with development of methodology to obtain Remaining Useful Life (RUL) of a turning tool using two different approaches; statistical trend exploration technique and stochastic Markov method. An experiment is performed by HSS tool to machine a mild steel work piece for a constant length on lathe machine. Flank wear width for different number of passes of tool over work piece is recorded for constant feed, speed and depth of cut up to failure value of tool flank wear i.e. 0.5 mm. In statistical trend exploration technique, the behavior of flank wear width is plotted on different curve against number of passes. Best fitted curve behavior is studied and equation of that curve is generated which gives us RUL for different number of passes of tool as input value.
In stochastic Markov method, a state based model is developed considering four gradually degraded stages of the tool. The degradation rate among states are obtained from the data of the experiment. The rate equations are derived for the four state Markov model representing the change of the state probability with respect to time for each state. The set of equations is solved analytically by Range-Kutta method using MATLAB software. The analytical results are verified by Monte Carlo Simulation.
The estimation of remaining tool life is important in planning condition based maintenance program and helps us by preventing any loss during production.
Książki na temat "TREND EXPLORATION TECHNIQUE"
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Data mining: Technologies, techniques, tools, and trends. Boca Raton: CRC Press, 1999.
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Pryce, Paula. Portico. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190680589.003.0001.
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Using evocative language, the book opens with a historical and contemporary exploration of the desire that motivates contemplative practitioners to seek an intimate relationship with the divine. It describes the effect of globalization and religious pluralism by noting a trend of Americans’ abandonment of mainline Christian institutions, their exploration of other contemplative traditions, and their subsequent return to Christianity when they discover its mystical history and current-day contemplative practices. The chapter describes core terms, concepts, research parameters, and basic sociological and historical information about the research community, a network of American monastic and non-monastic contemplative Christians who practice a meditation technique called Centering Prayer. Chapter 1 also introduces the terms apophatic and cataphatic to the ritual studies lexicon and offers a basic description of the novel ethnographic methodology that the author developed for research in silent communities.
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Keymer, Tom. Jane Austen: A Very Short Introduction. Oxford University Press, 2022. http://dx.doi.org/10.1093/actrade/9780198725954.001.0001.
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Jane Austen: A Very Short Introduction combines critical introductions to each of Jane Austen’s major novels with an exploration of the themes of Austen’s writing. Austen wrote six of the best-loved novels in the English language, as well as a smaller corpus of works unpublished in her day. She pioneered new techniques for representing voices, minds, and hearts in narrative prose, and was a penetrating satirist of social tensions and trends. This VSI considers how Austen reveals the literary, social, and political tensions from which the novels emerge. It also analyses how her writing continues to charm and impact readers to the present day.
Części książek na temat "TREND EXPLORATION TECHNIQUE"
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Zhou, Yi, Yi Yang, Yong-liang Yu, Xi-hui Hu, Jian-hua Guo, Ying-jie Zhu, Jian-li Wang i Hong-wei Yin. "Study on the Research Progress and Development Trend of Refracturing Technique in Shale Gas Reservoirs". W Proceedings of the International Field Exploration and Development Conference 2021, 4209–16. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2149-0_393.
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Puri, Ratik, Jagriti Bhandari, Ritik Gupta i Adwitiya Sinha. "Time Series Analysis and Trend Exploration of Stock Market". W Advanced Computational Techniques for Sustainable Computing, 197–212. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003046431-14.
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Rani, J. Stella Janci, i M. Gethsiyal Augasta. "Recent Trends in Human Re-identification Techniques – A Comparative Study". W Mining Intelligence and Knowledge Exploration, 67–77. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-21517-9_7.
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Boulmaiz, Fateh, Patrick Reignier i Stephane Ploix. "Learning from Successes and Failures: An Exploration of a Case-Based Reasoning Technique". W Advances and Trends in Artificial Intelligence. Theory and Applications, 74–87. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-36819-6_7.
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Pillai, Jyothi, i O. P. Vyas. "Exploration of Soft Computing Approaches in Itemset Mining". W Advances in Data Mining and Database Management, 270–96. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-5063-3.ch012.
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Data Mining is largely known to extract knowledge from large databases in an attempt to discover existing trends and newer patterns. While data mining refers to information extraction, soft computing is more inclined to information processing. Using Soft Computing, the tolerance for imprecision, uncertainty, approximate reasoning, and partial truth for achieving tractability, robustness, and low-cost solutions can be revealed. For effective knowledge discovery from large databases, both Soft Computing and Data Mining can be merged. Soft computing techniques are Fuzzy Logic (FL), Neural Network (NN), Genetic Algorithm (GA), Rough Set (RS), etc. For handling different types of uncertainty in huge data, FL and RS are highly suitable. NNs are a nonparametric, robust technique and provide good learning and generalization capabilities in data-rich environments. GAs provide efficient search algorithms for selecting a model, from mixed-media data, based on some priority criterion. In one of its realms, Association Rule Mining (ARM) and Itemset mining have been a focus of research in data mining for a decade, including finding most frequent item sets and corresponding association rules and extracting rare itemsets including temporal and fuzzy concepts in discovered patterns. The objective of this chapter is to explore the usage of Soft Computing approaches in itemset utility mining, both frequent and rare itemsets. In addition, a literature review of applications of soft computing techniques in temporal mining is described.
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Pillai, Jyothi, i O. P. Vyas. "Exploration of Soft Computing Approaches in Itemset Mining". W Business Intelligence, 1830–56. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9562-7.ch091.
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Data Mining is largely known to extract knowledge from large databases in an attempt to discover existing trends and newer patterns. While data mining refers to information extraction, soft computing is more inclined to information processing. Using Soft Computing, the tolerance for imprecision, uncertainty, approximate reasoning, and partial truth for achieving tractability, robustness, and low-cost solutions can be revealed. For effective knowledge discovery from large databases, both Soft Computing and Data Mining can be merged. Soft computing techniques are Fuzzy Logic (FL), Neural Network (NN), Genetic Algorithm (GA), Rough Set (RS), etc. For handling different types of uncertainty in huge data, FL and RS are highly suitable. NNs are a nonparametric, robust technique and provide good learning and generalization capabilities in data-rich environments. GAs provide efficient search algorithms for selecting a model, from mixed-media data, based on some priority criterion. In one of its realms, Association Rule Mining (ARM) and Itemset mining have been a focus of research in data mining for a decade, including finding most frequent item sets and corresponding association rules and extracting rare itemsets including temporal and fuzzy concepts in discovered patterns. The objective of this chapter is to explore the usage of Soft Computing approaches in itemset utility mining, both frequent and rare itemsets. In addition, a literature review of applications of soft computing techniques in temporal mining is described.
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Yamamoto, Claudio Haruo, Maria Cristina Ferreira de Oliveira i Solange Oliveira Rezende. "Visualization to Assist the Generation and Exploration of Association Rules". W Post-Mining of Association Rules, 224–45. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-404-0.ch012.
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Miners face many challenges when dealing with association rule mining tasks, such as defining proper parameters for the algorithm, handling sets of rules so large that exploration becomes difficult and uncomfortable, and understanding complex rules containing many items. In order to tackle these problems, many researchers have been investigating visual representations and information visualization techniques to assist association rule mining. In this chapter, an overview is presented of the many approaches found in literature. First, the authors introduce a classification of the different approaches that rely on visual representations, based on the role played by the visualization technique in the exploration of rule sets. Current approaches typically focus on model viewing, that is visualizing rule content, namely antecedent and consequent in a rule, and/or different interest measure values associated to it. Nonetheless, other approaches do not restrict themselves to aiding exploration of the final rule set, but propose representations to assist miners along the rule extraction process. One such approach is a methodology the authors have been developing that supports visually assisted selective generation of association rules based on identifying clusters of similar itemsets. They introduce this methodology and a quantitative evaluation of it. Then, they present a case study in which it was employed to extract rules from a real and complex dataset. Finally, they identify some trends and issues for further developments in this area.
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Rieder, Bernhard. "Engines of Order". W Engines of Order. Nieuwe Prinsengracht 89 1018 VR Amsterdam Nederland: Amsterdam University Press, 2020. http://dx.doi.org/10.5117/9789462986190_ch01.
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The chapter discusses central terms like ‘information’ and ‘order’, and it proposes the concept of ‘engine’ to point toward the infrastructural embeddings that have allowed techniques initially conceived for document retrieval to become pervasive mediators in online environments. While this book constitutes a humanistic exploration of technical substances rather than their practical application, the chapter pays tribute to the fact that the techniques under scrutiny have become prevalent in a specific situation, in this world and not another. To this end, the chapter discusses three critical trends: computerization, information overload, and social diversification.
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Hsu, William H. "Information Visualization Techniques for Big Data". W Geospatial Research, 1677–92. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9845-1.ch080.
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This chapter presents challenges and recommended practices for visualizing data about phenomena that are observed or simulated across space and time. Some data may be collected for the express purpose of answering questions through quantitative analysis and simulation, especially about future occurrences or continuations of the phenomena – that is, prediction. In this case, analytical computations may serve two purposes: to prepare the data for presentation and to answer questions by producing information, especially an informative model, that can also be visualized. These purposes may have significant overlap. Thus, the focus of the chapter is about analytical techniques for visual display of quantitative data and information that scale up to large data sets. It begins by surveying trends in educational and scientific use of visualization and reviewing taxonomies of data to be visualized. Next, it reviews aspects of spatiotemporal data that pose challenges, such as heterogeneity and scale, along with techniques for dealing specifically with geospatial data and text. An exploration of concrete applications then follows. Finally, tenets of information visualization design, put forward by Tufte and other experts on data representation and presentation, are considered in the context of analytical applications for heterogeneous data in spatiotemporal domains.
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Hsu, William H. "Information Visualization Techniques for Big Data". W Packaging Digital Information for Enhanced Learning and Analysis, 184–97. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4462-5.ch009.
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This chapter presents challenges and recommended practices for visualizing data about phenomena that are observed or simulated across space and time. Some data may be collected for the express purpose of answering questions through quantitative analysis and simulation, especially about future occurrences or continuations of the phenomena – that is, prediction. In this case, analytical computations may serve two purposes: to prepare the data for presentation and to answer questions by producing information, especially an informative model, that can also be visualized. These purposes may have significant overlap. Thus, the focus of the chapter is about analytical techniques for visual display of quantitative data and information that scale up to large data sets. It begins by surveying trends in educational and scientific use of visualization and reviewing taxonomies of data to be visualized. Next, it reviews aspects of spatiotemporal data that pose challenges, such as heterogeneity and scale, along with techniques for dealing specifically with geospatial data and text. An exploration of concrete applications then follows. Finally, tenets of information visualization design, put forward by Tufte and other experts on data representation and presentation, are considered in the context of analytical applications for heterogeneous data in spatiotemporal domains.
Streszczenia konferencji na temat "TREND EXPLORATION TECHNIQUE"
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Nejat, Amir, Pooya Mirzabeygi, Masoud Shariat-Panahi i Ehsan Mirzakhalili. "Heat Transfer Enhancement Across a Pair of Confined Cylinders Using Improved Particle Swarm Optimization Algorithm". W ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-88833.
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The dissipation of the heat generated by electronic devices is the key issue in design and development of such products. The trend, especially in the computer industries, has been reducing the size and increasing the computing power of the electronic elements. Studies have indicated that the thermal performance of a micro-channel depends on its geometric parameters and flow conditions. Many techniques have been developed to enhance the performance of confined elliptical cylinders while minimizing the momentum loss. In this paper, a new robust optimization technique is presented. This new technique is an improved Particle Swarm Optimization (PSO) algorithm in which diversity is actively preserved by avoiding overcrowded clusters of particles and encouraging broader exploration. Adaptively varying “territories” are formed around promising individuals to prevent many of the lesser individuals from premature clustering and encouraged them to explore new neighborhoods based on a hybrid self-social metric. Also, a new social interaction scheme is introduced which guided particles towards the weighted average of their “elite” neighbors’ best found positions instead of their own personal bests. The case study in this paper is a two dimensional incompressible flow of non-Newtonian power-law fluid over a pair of elliptical tandem cylinders confined in a channel. A new curve parameterization named Class-Shape-Refinement-Transformation method is used to modify the shape of the confined cylinders, and its control points are adopted as the design variables. Furthermore, final solutions obtained from the Territorial Particle Swarm Optimization algorithm reveal an evident improvement over the test case cylinder across all objective functions presented.
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Li, Wei, Yangyi Xing, Xu Qin, Weiming Chen, Lin Jiang, Tongtong Luo i Hanbing Xu. "Integrating the Fully Coupled Geomechanical with Thermodynamics Modeling for Accurate Pore Pressure Prediction - A Case Study from China". W ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/211594-ms.
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Abstract The accurate prediction of pore pressure relates directly to various important affects oil and gas field exploration and development including drilling engineering design and formulation of oil and gas reservoir development plans. The well logging information with unique advantages such as high vertical resolution and capability of continuous measurement has been widely used in formation pore pressure prediction. Currently, though the industry has developed many methods for formation pore pressure well logging prediction, they may not be all used to calculate formation pore pressure in actual production. And it may be difficult to guarantee the prediction accuracy with a single method. In order to accurately predict formation pore pressure, this paper systematically reviewed domestic and foreign literatures on formation pore pressure well logging prediction, explained the methods and principles of each prediction technique in detail, and summarized the applicability of each formation pore pressure prediction technique in detail. This paper concluded that both the effective stress method and the Bowers method could be used to accurately predict the formation pore pressure, and the empirical statistical model method also had high prediction accuracy, while the equivalent depth method and the Eaton method which are subject to the accuracy of the normal compaction trend equation had relatively poor prediction effect. It will be a trend in this field to construct the formation pore pressure nonlinear prediction model based on mechanical parameter tests in the study area with organically integrating geophysical well logging and pressure detection data. The study area is located southwestern China, the deep formations that more than 4000 meters are high temperature (150-180 deg C). Thermal-related secondary pore pressure generating mechanism may become active leading to higher overpressure and difficulties in prediction. For the case study, an empirical relationship of overpressure impact factors versus temperature of shale was proposed. An accurate pore pressure model generated using available well-scale geomechanical model and overpressure impact factors. With an integrating fully coupled PPP model as foundation, the integrated approach helps deep wells to reduce serious wellbore instability caused by abnormal formation pressure, wellbore collapse and other complex drilling problems.
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Noskov, Oleksii Viktorovych, Serhii Mykhailovych Levoniuk i Mykyta Leonidovych Myrontsov. "Creation of Geological 3D-Model of Komyshnianske Field Based on the Sequence Stratigraphy Principles". W SPE Eastern Europe Subsurface Conference. SPE, 2021. http://dx.doi.org/10.2118/208507-ms.
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Abstract Currently, the sequence-stratigraphic section dismemberment is only being implemented in Ukraine, so this article is highly relevant. The authors created geological 3D model of Komyshnianske gas condensate field based on sequence-stratigraphic section dismemberment for the first time at this area. This approach is effective for the following conditions:-insufficient field geological study;-thickness of productive horizons does not reach the seismic resolution boundaries;-no significant difference in impedance values on reflection horizons. The selected technique includes the following stages:-field geological study, facies analysis (integration of well geophysical complexes, cores);-deduction and correlation of sequence boundaries;-construction of discrete log, which corresponds to specific sequences distribution;-conducting seismic interpretation of the 3D seismic survey study of research area;-construction of a structural framework with the involvement of correlated sequences boundaries;-comparison of volume seismic attributes with selected sequences distribution. A geological 3D model of Komyshnianske gas condensate field was created based on sequence-stratigraphic principles. During the research, a geological structure of field was analyzed, the separated conditions of sedimentation (sequences) were deducted and interpreted. During the seismic interpretation of 3D seismic survey of study area, local features of wave field were identified, their reflection in the core material was found and linked to the concept of changing sedimentation conditions. With a general understanding of the material transportation and accommodation direction, used method allows to qualitatively outline the distribution boundaries of sedimentation certain conditions and predict their development outside the study area. Construction of facies discrete log and their distribution in the seismic field allows grouping thin bed layers of collectors to reach the seismic resolution and use them to predict the distribution of facies associated with changes in the rocks reservoir properties (tracking beach facies of deltas/avandeltas, sloping sediments, etc.). The constructed model could be used as a trend for reservoir distribution at the stage of construction of static geological model. Involvement of sequence-stratigraphy technique is new approach to sedimentation conditions study within Dnipro-Donetsk depression (DDD) areas. The paper shows that provided methodology gives:-improved geological understanding of field through sedimentation analysis and facies logging;-trends for reservoir properties distribution with the involvement of construction facies volumes;-proposals for further field E&D. The general provisions under conditions of geological materials sufficient base can be applied to other DDD areas, especially in pre-border zones. Involvement of sequence-stratigraphy technique is new approach for sedimentation conditions study within Dnipro-Donetsk depression (DDD) area. On the example of Komyshnianske gas condensate field, the article shows that provided methodology gives:-improved geological understanding of field through sedimentation analysis and facies logging;-trends for reservoir properties propagation with the involvement of seismic volume studies;-propositions for further field Exploration & Development.
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Gasser, Moamen, Omar Mahmoud, Fatma Ibrahim i Magdi Abadir. "Using Artificial Intelligence Techniques in Modeling and Predicting the Rheological Behavior of Nano-Based Drilling Fluids". W ASME 2021 40th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/omae2021-63749.
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Abstract Drilling process is one of the main operations in the extraction of hydrocarbons from petroleum reservoirs. It comes right after the exploration processes. Drilling fluids are necessary for controlling the wells and performing different functions during the drilling operation. They perform many roles in lifting the cuttings from the bottom of the well to the surface and cooling/lubricating the drill pipes and bit. Furthermore, they provide the desired hydrostatic pressure to overbalance pore pressure in addition to produce a thin/impermeable filter cake that can prevent or reduce the possible damage to the formations. It is mandatory to keep monitoring, enhancing, and optimizing the properties of the drilling fluids. Recently, different additives, among which nanoparticles (NPs), have been investigated to improve, and maximize the benefits of the drilling fluids accordingly to meet the new challenges. The rheological behavior of such complex fluids has shown different enhancements up on the utilization of those additives. The rheological properties of the drilling fluids are accurately measured on the surface; however, the behavior of those properties may change with time and under harsh drilling conditions, such as high pressure/high temperature environments. For that, different models are introduced and used to predict and optimize the rheological characteristics of such fluids. Bingham, Herschel-Bulkley, Power Law, Casson and others are commonly used as rheological models to predict the drilling fluid behavior. In the last decade, a new trend of developing new models and correlations using the artificial neural networks (ANN) have been introduced to the petroleum field. Mathematical formulas can be developed using ANN, which then can be used to predict the behavior of certain parameter(s) by knowing other ones. Using ANN have shown to be more reliable and accurate in predicting the rheological properties of the drilling fluids, such as apparent viscosity (AV), plastic viscosity (PV), yield point (YP), maximum shear stress, and change in the mud density at various conditions. This work aims at using ANN technique to develop suitable models that can predict the rheological behavior of nano-based drilling fluids. The effect of NPs-type, -size, -concentration, and drilling fluid formulations will be considered, which may pave the road for new applications and efficient utilizations.
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Serbulea, Manole Stelian. "CURRENT TRENDS IN SPACE �BORNE MONITORING TECHNIQUES APPLIED FOR SOIL INSTABILITY DETECTION". W 13th SGEM GeoConference on SCIENCE AND TECHNOLOGIES IN GEOLOGY, EXPLORATION AND MINING. Stef92 Technology, 2013. http://dx.doi.org/10.5593/sgem2013/ba1.v2/s02.009.
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Helmut Feige, Nils, Siegfried Heinz, Achim Ebert, Hans Hagen i Peter Dannenmann. "Production-integrated quality-control using optical measurement techniques". W The 13th International Conference on Engineering and Computer Graphics BALTGRAF-13. Vilnius Gediminas Technical University, 2015. http://dx.doi.org/10.3846/baltgraf.2015.013.
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In today’s manufacturing processes, optical measurement techniques are becoming increasingly popular for on-line quality control. This fast and cheap technique enables manufacturers to not only check single points given by an inspection plan, but entire surfaces. This paradigm change brings new possibilities as well as new challenges to the inspection process. We devised software and technologies that achieve a seamless integration of optical measurement techniques into the existing workflow in the production process from design and prototyping up to series production. These techniques go far beyond the simple measuring of structural dimensions. The system permits the management and storage of the complete history of measurements. Hence, trends in deviations from the desired quality or functionality can be determined early and easily. This helps to implement corrective actions even before the produced structures fail to meet the specifications. Using a safe and decentralized server architecture using https, all data is available across business units and plants. Additionally, we developed highly interactive visualization and data exploration tools which enable expert users to fast and easily evaluate the measured data. With these techniques and visualization tools, we combine the advantages of optical measurements with the established evaluation of tactile measurements.
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Derby, Melanie M., Hee Joon Lee, Rose C. Craft, Gregory J. Michna, Yoav Peles i Michael K. Jensen. "Exploration of Experimental Techniques to Determine the Condensation Heat Flux in Microchannels and Minichannels". W 2010 14th International Heat Transfer Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/ihtc14-22647.
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This study seeks to analyze and explore experimental methods to study condensation heat transfer in micro- and mini-channel. Following, an experimental setup was built and initial results are presented. Several experimental techniques were reviewed, while two, thermoelectric coolers and a copper-heat-flux-sensor were analyzed in detail for condensation heat flux. It was concluded that thermoelectric coolers were not suitable as heat flux sensors for single-phase validation, but the copper-heat-flux-sensor was appropriate to measure heat transfer coefficients at the mini-scale. Condensation heat transfer coefficients were obtained experimentally in seven parallel square mini-channels of diameter 1mm. Existing condensation correlations were applied to these data; micro- and mini-scale correlations captured the appropriate trends, but the macro-scale Shah (1979) correlation fit the data best.
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Xue, Fangjian, i Kim Hemsley. "Application of advanced seismic interpretation techniques to reveal the gas exploration opportunities in the mature miocene trend of the Onshore Gulf Coast". W SEG Technical Program Expanded Abstracts 2001. Society of Exploration Geophysicists, 2001. http://dx.doi.org/10.1190/1.1816714.
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Dalpadulo, Enrico, Fabio Pini i Francesco Leali. "Systematic Integration of Topology Optimization Techniques in Design for Additive Manufacturing Methodologies Applied to Automotive Settings". W ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-24242.
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Abstract Additive Manufacturing is having a great trend since its implementation possible benefits have been widely discussed and efforts in technology improvements are having impact on process reliability and industrial application. The aims of this work are to analyze the current and forthcoming scenario of methods for the specific development of parts to be produced by metal AM including topology optimization as a basic design step and to demonstrate that systematical design approaches can be introduced in order to better exploit potentials offered by AM implementation. The general framework composed by the main tasks is introduced and discussed. Key factors such as advance in different design solutions exploration, product-related and process-related design constraint implementation in the design phase and method effectiveness in product development lead time minimization are presented. Linear and iterative workflows are described, considering features, decision making points, pros and cons, possible variants and research hints. A strong connection between methods and actual means is highlighted and workflow implementation using standard and integrated commercial tools is considered. Such methods are related to several automotive case studies presented in order to demonstrate their applicability and to show actual results and possible further development.
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Wemhoff, Aaron P., i Van P. Carey. "Molecular Dynamics Exploration of Properties in the Liquid-Vapor Interfacial Region". W ASME 2003 Heat Transfer Summer Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/ht2003-47158.
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Molecular dynamics (MD) simulations of liquid-vapor interfaces were performed to determine mean property variations and property fluctuations in the liquid-vapor interfacial region at various reduced temperatures. The interfacial region typically has a thickness on the order of a few nanometers for systems of practical interest. The system’s initial conditions were specified as a bulk liquid region sandwiched between two bulk vapor regions. Simulations were run using a Lennard-Jones 6-12 potential function between the atoms with appropriate parameters for Argon atoms. As the simulation was performed, interfacial region property data was collected over time. The resulting property data are shown to establish trends similar to those indicated by theoretical and experimental results reported elsewhere. The peak fluctuations of mass density and free energy density were determined to be approximately equal in magnitude when normalized with the difference in their respective bulk values at a given temperature. These fluctuations were found to increase rapidly with temperature. The fluctuations in the interfacial thickness and interfacial position follow a functional dependence on temperature similar to that exhibited by the mean value of interfacial thickness. In addition to exploring fluctuations in the interfacial region, two new methods were developed to determine interfacial tension through methods involving integration of excess free energy density across the interfacial region. These techniques were shown to yield mean results similar to theoretical predictions and those using conventional techniques. In addition, the time required for computation using the new techniques is significantly reduced due to less computational time per step and fewer required steps for convergence to a mean value.
Raporty organizacyjne na temat "TREND EXPLORATION TECHNIQUE"
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Knight, R. D., i B. A. Kjarsgaard. Comparative pXRF and Lab ICP-ES/MS methods for mineral resource assessment, Northwest Territories. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331239.
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The Geological Survey of Canada undertook a mineral resource assessment for a proposed national park in northern Canada (~ 33,500 km2) spanning the transition from boreal forest to barren lands tundra. Bedrock geology of this region is complex and includes the Archean Slave Craton, the Archean and Paleoproterozoic Rae domain of the Churchill Province, the Paleoproterozoic Thelon and Taltson magmatic-tectonic zones, and the Paleoproterozoic East Arm sedimentary basin. The area has variable mineral potential for lode gold, kimberlite-hosted diamonds, VMS, vein uranium and copper, SEDEX, as well as other deposit types. A comparison of analytical methods was carried out after processing the field collected samples to acquire both the &lt; 2 mm and for the &lt; 0.063 mm size fractions for 241 surficial sediment (till) samples, collected using a 10 x 10 km grid. Analytical methods comprised: 1) aqua regia followed by ICP-MS analysis, 2) 4-acid hot dissolution followed by ICP-ES/MS analysis, 3) lithium metaborate/tetraborate fusion methods followed by ICP-ES for major elements and ICP-MS for trace elements and, 4) portable XRF on dried, non-sieved sediment samples subjected to a granular segregation processing technique (to produce a clay-silt proxy) for seventeen elements (Ba, Ca, Cr, Cu, Fe, K, Mn, Ni, Pb, Rb, Sr, Th, Ti, U, V, Zn, and Zr) Results indicate that pXRF data do not replicate exactly the laboratory 4-acid and fusion data (in terms of precision and accuracy), but the relationship between the datasets is systematic as displayed in x-y scattergrams. Interpolated single element plots indicate that till samples with anomalies of high and low pXRF concentration levels are synonymous with high and low laboratory-based analytical concentration levels, respectively. The pXRF interpolations thus illustrate the regional geochemical trends, and most importantly, the significant geochemical anomalies in the surficial samples. These results indicate that pXRF spectrometry for a subset of elements is comparable to traditional laboratory methods. pXRF spectrometry also provides the benefit of rapid analysis and data acquisition that has a direct influence on real time sampling designs. This information facilitates efficient and cost-effective field projects (i.e. where used to identify regions of interest for high density sampling), and to prioritize samples to be analyzed using traditional geochemical methods. These tactics should increase the efficiency and success of a mineral exploration and/or environmental sampling programs.