Relevant bibliographies by topics / Magnetic prospecting – Data processing

Academic literature on the topic 'Magnetic prospecting – Data processing'

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Published: 10 December 2022
Last updated: 30 January 2023

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Journal articles on the topic "Magnetic prospecting – Data processing"

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Li, Feng, and Guo Wenjian. "Analysis on data processing of three-component magnetic survey in well." International Journal of Geology 1, no. 1 (July 21, 2016): 1. http://dx.doi.org/10.26789/ijg.2016.004.

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the three-component magnetic survey in well, as an important means in the geological prospecting, plays an important complementary role in geological magnetic survey data. During the data process of three-component magnetic survey, the drilling technology, instruments of three-component magnetic survey in well as well as performance and precision of the gyroscope inclinometer should be considered synthetically, and the appropriate data processing method should be selected according to the different trajectory feature of borehole, in order to improve the accuracy of data interpretation.
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Dransfield, Mark. "Searchlights for gravity and magnetics." GEOPHYSICS 80, no. 1 (January 1, 2015): G27—G34. http://dx.doi.org/10.1190/geo2014-0256.1.

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The development of mental schemata is important in developing an understanding of physical phenomena and processes. Gravitational and magnetic fields are often visualized by geophysicists as equipotential surfaces (for gravity) and field lines (for magnetics). In these cases, the schemata treat the geology as the source of the field. In seismic and electromagnetic prospecting, one instead visualizes a field that is emitted by the instrument. Example schemata are traveling wavefronts (seismic) and smoke rings (electromagnetic induction in the dissipative limit). I carried this instrument-focused conceptualization over to potential field prospecting by a schema, which envisages the instrument as a probe, illuminating the earth in a manner analogous to a searchlight. Different potential-field instruments (potentiometers, gravimeters, magnetometers, and gradiometers) each have different beam characteristics and consequently illuminate the earth in different ways. This schema provides a new way of visualizing potential fields in prospecting with applications in instrument development, data acquisition and processing, and interpretation.
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Liu, Qiang, and Run Min Peng. "Application of High-Precision Magnetic Survey to the Investigation of Mineral Resources in Halaganlawusu Area, Inner Mongolia." Advanced Materials Research 1073-1076 (December 2014): 2001–4. http://dx.doi.org/10.4028/www.scientific.net/amr.1073-1076.2001.

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In this paper 1:10 000 high-precision magnetic survey work has been done using GSM-19T proton magnetometer in Halaganlawusu area. There were data processing including gridding, filtering, reduction to the pole, continuation, derivation, and so on. By precise interpretation and inference with magnetic anomaly, the distribution characteristics of basic rock mass was found out. According to the magnetic survey data and geological research, fitting-inversion of measured magnetic section P1, P2 were done. It preliminarily concluded the distribution characteristics of underground ore rock mass and achieved the effect of the geophysical prospecting.
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Li, Jian Hua, Pin Rong Lin, Fu Sheng Shi, and Cai Jun Zheng. "Study on Magnetic Induced Polarization Technology and Instruments." Applied Mechanics and Materials 336-338 (July 2013): 100–105. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.100.

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In order to solve the difficult-ground areas of electromagnetic prospecting, we study magnetic induced polarization technology and instruments. Adopting the techniques such as GPS synchronization, CPLD(Complex Programmable Logic Device), digital PWM(Pulse-Width Modulation) constant current, VHDL(Very high speed integrated circuit Hardware Description Language) programming, a magnetic induced polarization instruments have been developed, which include transmitter, receiver, and three components magnetic field compensator. Instruments have functions such as high-power constant-current supplying, frequency-selective anti-interference receiving, GPS high-precision synchronizing, and amplitude-frequency response of magnetic sensor is flat. Using gradient configuration to obser the original data include magnetic field strength, magnetic polarization rate, phase, and get the magnetometric resistivity, the percent frequency efficiency by the further processing. For magnetic induced polarization instruments, we develop performance testing and the field experiments.
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Liang, Shengjun, Siyuan Sun, and Hongfei Lu. "Application of Airborne Electromagnetics and Magnetics for Mineral Exploration in the Baishiquan–Hongliujing Area, Northwest China." Remote Sensing 13, no. 5 (February 27, 2021): 903. http://dx.doi.org/10.3390/rs13050903.

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Airborne electromagnetics is an effective and efficient exploration tool in shallow mineral exploration for its high efficiency and low cost. In 2016, airborne electromagnetic and airborne magnetic surveys have been carried out at the border of Xinjiang Uygur Autonomous Region and Gansu Province, the Northwest China. With an integrated system, the airborne electromagnetics and airborne magnetic data were collected simultaneously by AreoTEM-IV system from Aeroquest International Limited in Vancouver, BC, Canada, and the CS3 Cesium Vapor magnetometer from Scintrex in Concord, ON, Canada. About 3149 line-km of both data with 250 m line space were acquired. After data processing, the comprehensive analysis and interpretation of resistivity and magnetic anomalies has been carried out to infer lithological structure and outline the potential ore deposits. Verified by the ground surveys, seven outlined anomalies are consistent with the known ore sites, and one new gold deposit and several mineralization clues were found. The prospective reserves of gold are expected to exceed 10 tons. Besides, some prospecting target areas were outlined as the possible locations of copper–nickel deposits. The successful case shows the airborne magnetic data accords with geological structures, and the airborne electromagnetic method is effective in finding metal mineral resources, which can help to quickly identify potential ore targets with no surface outcrop.
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Zligostev, I. N., M. I. Epov, and A. V. Savluk. "On the measurement of the magnetic induction vector with the use of a three-component magnetometer placed on a mobile carrier." Russian Journal of Geophysical Technologies, no. 4 (March 11, 2022): 47–56. http://dx.doi.org/10.18303/2619-1563-2021-4-47.

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The article describes the use of a vector ferromagnetic magnetometer placed on an unmanned aerial vehicle (UAV). It is shown that solving inverse problems of magnetic prospecting for a vector aeromagnetic survey makes it possible to identify areas with different magnetization. We present a simple, based on standard libraries, software product for processing primary data of three-component fluxgate magnetometers, which allows correctly selecting the magnetic induction vector components when performing magnetic UAV surveys. To build maps, a method for graphical display of a vector field is proposed. On the example of a man-made object, we demonstrate that vector fields measured at different heights provide significantly more information than conventional electromagnetic induction measurements.
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Bescoby, David J., Gavin C. Cawley, and P. Neil Chroston. "Enhanced interpretation of magnetic survey data from archaeological sites using artificial neural networks." GEOPHYSICS 71, no. 5 (September 2006): H45—H53. http://dx.doi.org/10.1190/1.2231110.

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The use of magnetic surveys for archaeological prospecting is a well-established and versatile technique, and a wide range of data processing routines are often applied to further enhance acquired data or derive source parameters. Of particular interest in this respect is the application of artificial neural networks (ANNs) to predict source parameters such as the burial depths of detected features of interest. Within this study, ANNs based upon a multilayer perceptron architecture are used to perform the nonlinear mapping between buried wall features detected within the magnetic data and their corresponding burial depth for surveys in the ancient city of Butrint in southern Albania, achieving a greater level of information from the survey data. Suitable network training examples and test data were generated using forward models based upon ground-truth observations. The training procedure adopts a supervised learning routine that is optimized using a conjugate gradient method, while the learning algorithm also prunes network elements to prevent overregularization by reducing model complexity. Data processing was further enhanced by introducing rotational invariance using Zernike moments and by utilizing the combined output of a number, or committee, of networks. When applied to a section of survey data from Butrint, the ANN routine successfully predicted the burial depth of a number of detected wall features, with an rms error on the order of [Formula: see text], and provided a coherent map of the buried building foundations. The neural network approach offered advantages in terms of efficiency and flexibility over more conventional data-inversion techniques within the context of the study, giving fast solutions for large, complex data sets while having high noise tolerance.
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Liu, Yan-Xu, Wen-Yong Li, Zhi-Yuan Liu, Jia-Wei Zhao, An-Qi Cao, Shan Gao, Li-Jie Wang, and Cheng Yang. "Occurrence Characteristics of Magnetite and Aeromagnetic Prospecting Northeast of Hebei Province." Minerals 12, no. 9 (September 14, 2022): 1158. http://dx.doi.org/10.3390/min12091158.

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The occurrence characteristics of magnetite and the methods to quickly and effectively explore are important topics for ore prospecting in the new era. Taking northeast of Hebei Province of China as an example, this article aimed at an important strategic mineral of magnetite, then discussed its distribution characteristics and aeromagnetic exploration methods of it. First of all, we discuss the occurrence characteristics of sedimentary metamorphic and magmatic magnetite. Then, using the latest high-precision aeromagnetic data, combined with the geological outcrops, known iron deposits, ground magnetic surveys, and verification, we studied the relationship between the aeromagnetic anomalies and iron deposits through potential field conversion processing of the reduction to the pole, vertical derivative, upward continuation and residual anomaly, and the forward modeling and inversion methods of 2.5 D optimization fitting. Next, we summarize the metallogenic conditions and attributes of aeromagnetic prospecting and make magnetite predictions. In addition, it has suitable magnetite prospecting potential in the Laochenjia, Dabai, Jiuwuying, Beierying, Sidaogoumen, and Wuyingzi aeromagnetic anomaly regions. In conclusion, these regions have aeromagnetic anomalies with high amplitudes, large scales, and favorable metallogenic backgrounds for magmatic rocks, strata, and structures caused by concealed magnetite. In addition, they have great prospecting potential. Eventually, we hope this research method in this article can provide a reference for magnetite exploration in other areas with similar geological conditions.
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Grassi, Sabrina, Gabriele Morreale, Rosa Lanteri, Angelo Gilotti, Federico Latino, Saro Di Raimondo, and Sebastiano Imposa. "Integration of Geophysical Survey Data for the Identification of New Archaeological Remains in the Subsoil of the Akrai Greek Site (Sicily, Italy)." Heritage 6, no. 2 (January 24, 2023): 979–92. http://dx.doi.org/10.3390/heritage6020055.

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For more than a decade now, geophysical prospecting has been considered an integral part of archaeological research; the ability to quickly investigate large areas and locate objects buried in the ground without directly interacting with it is a key feature that makes such surveys essential for identifying and locating, with good accuracy, buried archaeological remains. In this study, two extensive magnetic and electromagnetic surveys were carried out in two different areas of the Akrai archaeological site, where given the distribution of archaeological remains already found at the site, it was likely that additional buried remains were present. The surveys were performed using a proton precession magnetometer and a multifrequency electromagnetic device with a frequency range of 2.5–250 kHz. By processing the data, the vertical magnetic gradient and electrical conductivity maps were obtained. Furthermore, 3D models of electrical conductivity distribution were reconstructed. On comparing the results, it was notable that many anomalies characterized by low vertical gradient values were identified within areas characterized by low electrical conductivity values. These anomalies detected by both surveys can be associated with good probability with buried archaeological remains made up of limestones. In fact, they exhibit shapes and sizes comparable to those of the wall remains already found at the site.
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Dorney, Timothy D., William W. Symes, and Daniel M. Mittleman. "Multistatic Reflection Imaging with Terahertz Pulses." International Journal of High Speed Electronics and Systems 13, no. 02 (June 2003): 677–99. http://dx.doi.org/10.1142/s0129156403001855.

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Recent advances in the technique of terahertz time-domain spectroscopy have led to the development of the first fiber-coupled room-temperature broadband terahertz sources and detectors. The fiber coupling permits the repositioning of the emitter and receiver antennas without loss of temporal calibration or alignment, thus enabling multistatic imaging. We describe a new imaging method which exploits this new capability. This technique emulates the data collection and image processing procedures developed for geophysical prospecting. We use a migration procedure to solve the inverse problem; this permits us to reconstruct the location, shape, and refractive index of targets. We show examples for both metallic and dielectric model targets, and we perform velocity analysis on dielectric targets to estimate the refractive indices of imaged components. These results broaden the capabilities of terahertz imaging systems, and also demonstrate the viability of the THz system as a test bed for the exploration of new seismic processing methods.
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Dissertations / Theses on the topic "Magnetic prospecting – Data processing"

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Naudé, Corus. "Target selection from airborne magnetic and radiometric data in Steinhausen area, Namibia." Thesis, Rhodes University, 2012. http://hdl.handle.net/10962/d1001520.

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The eastern branch of the late Proterozoic Damara Orogenic Belt of central Namibia hosts various copper, gold, manganese and uranium deposits, but in the vicinity of Steinhausen, approximately 145 km northeast of Windhoek, the Damara Belt becomes increasingly covered by recent Kalahari cover sediments resulting in little known geology and subsequent lack of discovered economic mineral deposits. Airborne magnetic and radiometric data over the Steinhausen Study Area was enhanced through image processing and filtering to accentuate characteristics of subsurface geology that, by comparing these characteristics to known geology, aided in the interpretive mapping of lithology, structure and targets for follow-up exploration. As a result, some important observations regarding the regional lithology can be drawn. An arenaceous stratigraphic unit that includes a coarse grained, glassy quartzite below the Kuiseb Formation equates to either the eastern Damaran equivalent of the Nosib Group subjected to high grade metamorphism or, alternatively, the upper part of the pre-Damaran sequence, immediately underlying the Damara. The Kuiseb Formation within the study area is uncharacteristically varied as compared to the same formation further west along the Damaran Orogen and can be subdivided into 5 separate units based on geophysical signature. Structural features evident within the study area include the prominent Kudu and Okahandja Lineaments and straddle an area of inferred uplifted stratigraphy of possibly pre-Damara age. The Ekuja Dome (Kibaran age and host to the Omitiomire copper deposit) is also clearly discernible on the airborne magnetic data and is cross-cut by an east-northeast structural zone. Direct targets for follow-up exploration include the Rodenbeck intrusion, anomalous magnetic bodies and numerous radiometric anomalies present within the study area. Identified dome-like features are considered prospective for Omitiomire-style deposits and the Okatjuru Layered Complex is considered a possible source of copper, chromite, magnetite, ilmenite, nickel and the platinum group elements.
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Casto, Daniel W. "Calculating depths to shallow magnetic sources using aeromagnetic data from the Tucson Basin." Tucson, Ariz. : U.S. Dept. of the Interior, U.S. Geological Survey, 2001. http://geopubs.wr.usgs.gov/open-file/of01-505/.

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Jones, Jonathan A. "Nuclear magnetic resonance data processing methods." Thesis, University of Oxford, 1992. http://ora.ox.ac.uk/objects/uuid:7df97c9a-4e65-4c10-83eb-dfaccfdccefe.

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This thesis describes the application of a wide variety of data processing methods, in particular the Maximum Entropy Method (MEM), to data from Nuclear Magnetic Resonance (NMR) experiments. Chapter 1 provides a brief introduction to NMR and to data processing, which is developed in chapter 2. NMR is described in terms of the classical model due to Bloch, and the principles of conventional (Fourier transform) data processing developed. This is followed by a description of less conventional techniques. The MEM is derived on several grounds, and related to both Bayesian reasoning and Shannon information theory. Chapter 3 describes several methods of evaluating the quality of NMR spectra obtained by a variety of data processing techniques; the simple criterion of spectral appearance is shown to be completely unsatisfactory. A Monte Carlo method is described which allows several different techniques to be compared, and the relative advantages of Fourier transformation and the MEM are assessed. Chapter 4 describes in vivo NMR, particularly the application of the MEM to data from Phase Modulated Rotating Frame Imaging (PMRFI) experiments. In this case the conventional data processing is highly unsatisfactory, and MEM processing results in much clearer spectra. Chapter 5 describes the application of a range of techniques to the estimation and removal of splittings from NMR spectra. The various techniques are discussed using simple examples, and then applied to data from the amino acid iso-leucine. The thesis ends with five appendices which contain historical and philosophical notes, detailed calculations pertaining to PMRFI spectra, and a listing of the MEM computer program.
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Theodoridis, John Apostolis 1972. "Borehole electromagnetic prospecting for weak conductors." Monash University, School of Geosciences, 2004. http://arrow.monash.edu.au/hdl/1959.1/5225.

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Rydell, Joakim. "Advanced MRI Data Processing." Doctoral thesis, Linköping : Department of Biomedical Engineering, Linköpings universitet, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10038.

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Bance, Simon G. "Data storage and processing using magnetic nanowires." Thesis, University of Sheffield, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.505475.

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This thesis contains data from micromagnetic simulations that investigate new methods for data storage and processing on the nanoscale using ferromagnetic nanowires. First I consider a magnetic memory, domain wall trap memory, which could compete with a number of existing devices that are currently in widespread use. Domain wall trap memory exhibits a 90% lower coercivity over traditional MRAM designs because, instead of remagnetizing a rectangular or oval magnetic free layer by moment rotation or domain nucleation, an existing domain wall is moved along a structured nanowire to remagnetize part of the wire. I determine the fields for de-pinning, switching and expulsion of domain walls in memory cells to show that the margins between them can be sufficiently large for reliable operation. The nudged elastic band method is used to show that domain wall trap memory is thermally stable at room temperature.
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Ostroumov, Ivan Victorovich. "Magnetic field data processing with personal electronic device." Thesis, Polit. Challenges of science today: International Scientific and Practical Conference of Young Researchers and Students, April 6–8, 2016 : theses. – К., 2016. – 83p, 2016. http://er.nau.edu.ua/handle/NAU/26649.

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Maas, Luis C. (Luis Carlos). "Processing strategies for functional magnetic resonance imaging data sets." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/85262.

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Thesis (Ph.D.)--Harvard--Massachusetts Institute of Technology Division of Health Sciences and Technology, 1999.
Includes bibliographical references (leaves 108-118).
by Luis Carlos Maas, III.
Ph.D.
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Rowe, Craig A. "A novel 3D transition zone seismic survey, Shoal Point, Port au Port Peninsula, Newfoundland : seismic data processing and interpretation /." Internet access available to MUN users only, 2003. http://collections.mun.ca/u?/theses,59416.

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Neukirch, Maik. "Non Stationary Magnetotelluric Data Processing." Doctoral thesis, Universitat de Barcelona, 2014. http://hdl.handle.net/10803/284932.

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Studies have proven that the desired signal for Magnetotellurics (MT) in the electromagnetic (EM) field can be regarded as 'quasi stationary' (i.e. sufficiently stationary to apply a windowed Fourier transform). However, measured time series often contain environmental noise. Hence, they may not fulfill the stationarity requirement for the application of the Fourier Transform (FT) and therefore may lead to false or unreliable results under methods that rely on the FT. In light of paucity of algorithms of MT data processing in the presence of non stationary noise, it is the goal of this thesis to elaborate a robust, non stationary algorithm, which can compete with sophisticated, state-of-the-art algorithms in terms of accuracy and precision. In addition, I proof mathematically the algorithm's viability and validate its superiority to other codes processing non stationary, synthetic and real MT data. Non stationary EM data may affect the computation of Fourier spectra in unforeseeable manners and consequently, the traditional estimation of the MT transfer functions (TF). The TF estimation scheme developed in this work is based on an emerging nonlinear, non stationary time series analysis tool, called Empirical Mode Decomposition (EMD). EMD decomposes time series into Intrinsic Mode Functions (IMF) in the time-frequency domain, which can be represented by the instantaneous parameters amplitude, phase and frequency. In the first part of my thesis, I show that time slices of well defined IMFs equal time slices of Fourier Series, where the instantaneous parameters of the IMF define amplitude and phase of the Fourier Series parameters. Based on these findings I formulate the theorem that non stationary convolution of an IMF with a general time domain response function translates into a multiplication of the IMF with the respective spectral domain response function, which is explicitly permitted to vary over time. Further, I employ real world MT data to illustrate that a de-trended signal's IMFs can be convolved independently and then be used for further time-frequency analysis as done for MT processing. In the second part of my thesis, I apply the newly formulated theorem to the MT method. The MT method analyses the correlation between the electric and magnetic field due to the conductivity structure of the subsurface. For sufficiently low frequencies (i.e. when the EM field interacts diffusively), the conductive body of the Earth acts as an inductive system response, which convolves with magnetic field variations and results in electric field variations. The frequency representation of this system response is commonly referred to as MT TF and its estimation from measured electric and magnetic time series is summarized as MT processing. The main contribution in this thesis is the design of the MT TF estimation algorithm based on EMD. In contrast to previous works that employ EMD for MT data processing, I (i) point out the advantages of a multivariate decomposition, (ii) highlight the possibility to use instantaneous parameters, and (iii) define the homogenization of frequency discrepancies between data channels. In addition, my algorithm estimates the transfer functions using robust statistical methods such as (i) robust principal component analysis and (ii) iteratively re-weighted least squares regression with a Huber weight function. Finally, TF uncertainties are estimated by iterating the complete robust regression, including the robust weight computation, by means of a bootstrap routine. The proposed methodology is applied to synthetic and real data with and without non stationary character and the results are compared with other processing techniques. I conclude that non stationary noise can heavily affect Fourier based MT data processing but the presented non stationary approach is nonetheless able to extract the impedances correctly even when the other methods fail.
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Books on the topic "Magnetic prospecting – Data processing"

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Emerson, D. W. Magnetic exploration models, incorporating remanence, demagnetization and anisotropy HP 41C handheld computer algorithms. Melbourne: Blackwell Scientific Publications, 1985.

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M, Doherty Stephen, ed. Seismic data processing. Tulsa, OK: Society of Exploration Geophysicists, 1987.

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Geological Survey (U.S.), ed. Principal facts for gravity data collected in Wisconsin: A web site and CD-ROM for distribution of data. [Reston, Va.]: U.S. Geological Survey, 2004.

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Duval, Joseph S. Data processing programs for aerial gamma-ray data. [Reston, Va.?]: Dept. of the Interior, U.S. Geological Survey, 1985.

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1958-, Stern Alan S., ed. NMR data processing. New York: Wiley-Liss, 1996.

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Ponce, David A. Gravity, magnetic, and physical property data of the Deep Creek Range and vicinity, eastern Nevada and western Utah. [Menlo Park, CA]: U.S. Geological Survey, 1993.

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Verma, Rajni K. Offshore seismic exploration: Data acquisition, processing, interpretation. Houston: Gulf Pub. Co., Book Division, 1986.

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Yilmaz, Özdoğan. Seismic data analysis: Processing, inversion, and interpretation of seismic data. Edited by Doherty Stephen M and Yilmaz Özdoğan. 2nd ed. Tulsa, OK: Society of Exploration Geophysicists, 2001.

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Yilmaz, Özdoğan. Seismic data analysis: Processing, inversion, and interpretation of seismic data. Edited by Doherty Stephen M. Tulsa, Okla: Society of Exploration Geophysicists, 2001.

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M, Doherty Stephen, and Yilmaz Özdoğan, eds. Seismic data analysis: Processing, inversion, and interpretation of seismic data. 2nd ed. Tulsa, Okla: Society of Exploration Geophysicists, 2000.

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Book chapters on the topic "Magnetic prospecting – Data processing"

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Trofimov, Vladimir L., Fanil F. Khaziev, and Alisa V. Trofimova. "Processing and Automated Interpretation of Well Logging Data." In Oil and Gas Reservoir Prospecting and Exploration, 197–235. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-84389-2_5.

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Vinaixa, Maria, Naomi Rankin, Jeremy Everett, and Reza Salek. "Nuclear Magnetic Resonance Spectroscopy Data Processing." In Metabolomics, 101–28. Boca Raton, Florida : CRC Press, [2019]: Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781315370583-5.

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Li, Xingfeng. "First-Level fMRI Data Analysis for Activation Detection." In Functional Magnetic Resonance Imaging Processing, 39–71. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7302-8_2.

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Li, Xingfeng. "Second-Level fMRI Data Analysis Using Mixed Model." In Functional Magnetic Resonance Imaging Processing, 73–111. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-7302-8_3.

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Tsokas, G. N., and C. B. Papazachos. "The Applicability of Two-dimensional Inversion Filters in Magnetic Prospecting for Buried Antiquities." In Theory and Practice of Geophysical Data Inversion, 121–44. Wiesbaden: Vieweg+Teubner Verlag, 1992. http://dx.doi.org/10.1007/978-3-322-89417-5_9.

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Mwitondi, Kassim S., Raeed T. Said, and Adil E. Yousif. "A Sequential Data Mining Method for Modelling Solar Magnetic Cycles." In Neural Information Processing, 296–304. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34475-6_36.

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Rother, Martin, Sungchan Choi, Hermann Lühr, and Wolfgang Mai. "CHAMP ME Data Processing and Open Issues." In First CHAMP Mission Results for Gravity, Magnetic and Atmospheric Studies, 203–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-38366-6_30.

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Ao, Chi O., George A. Hajj, Thomas K. Meehan, Stephen S. Leroy, E. Robert Kursinski, Manuel Torre de la Juárez, Byron A. Iijima, and Anthony J. Mannucci. "Backpropagation Processing of GPS Radio Occultation Data." In First CHAMP Mission Results for Gravity, Magnetic and Atmospheric Studies, 415–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-38366-6_57.

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Hale, J. D., P. E. Valk, L. Kaufman, L. E. Crooks, C. B. Higgins, and J. C. Watts. "Strategies for Informative Displays of Blood Vessels Using Magnetic Resonance Imaging Data." In Information Processing in Medical Imaging, 234–46. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4261-5_18.

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Schreiner, Bill, Doug Hunt, Chris Rocken, and Sergey Sokolovskiy. "Radio Occultation Data Processing at the COSMIC Data Analysis and Archival Center (CDAAC)." In First CHAMP Mission Results for Gravity, Magnetic and Atmospheric Studies, 536–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-38366-6_73.

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Conference papers on the topic "Magnetic prospecting – Data processing"

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V. Herwanger, J., H. R. Maurer, J. Leckebusch, and A. G. Green. "Acquisition, processing and inversion of magnetic data in archaeological prospecting." In 3rd EEGS Meeting. European Association of Geoscientists & Engineers, 1997. http://dx.doi.org/10.3997/2214-4609.201407381.

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Hao Hu and Yangang Wu. "High-precision magnetic measurement data in Huailai prospecting application areas." In 2011 International Conference on Multimedia Technology (ICMT). IEEE, 2011. http://dx.doi.org/10.1109/icmt.2011.6001850.

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Itkis, S. E. "Study of Industrial Disturbances Affecting Magnetic Prospecting Data in Archaeological Sites." In Near Surface Geoscience 2013. Netherlands: EAGE Publications BV, 2013. http://dx.doi.org/10.3997/2214-4609.20131358.

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Hajheidari, M., K. Moshtaghian, S. M. Abtahi Forooshani, and H. Asadi Harooni. "Geophysical Prospecting at Dalli Porphyry Gold-Copper Deposit Via Magnetic and IP/RS Data Inversion." In NSG2020 3rd Conference on Geophysics for Mineral Exploration and Mining. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.202020137.

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Eberle, Detlef G., David Hutchins, Georg Andritzky, and Rainer Wackerle. "The new magnetic data set of Namibia and its significance for crustal research and mineral prospecting." In SEG Technical Program Expanded Abstracts 1994. Society of Exploration Geophysicists, 1994. http://dx.doi.org/10.1190/1.1932119.

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Janghorban, G., S. M. Abtahi Forooshani, H. Asadi Haroni, H. Sadeghisorkhani, and K. Moshtaghian. "Magnetic and IP/RS Data Inversion for Gold Prospecting at Koh-e Lakht Epithermal Deposit, Central Iran." In NSG2020 3rd Conference on Geophysics for Mineral Exploration and Mining. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.202020135.

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Mansaray, Lamin R., Lei Liu, Jun Zhou, and Zhimin Ma. "Alteration mineral mapping for iron prospecting using ETM+ data, Tonkolili iron field, northern Sierra Leone." In Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, edited by Jinwen Tian and Jie Ma. SPIE, 2013. http://dx.doi.org/10.1117/12.2031506.

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Gachenko, S. V., A. V. Parshin, and A. E. Budyak. "Joint Processing and Interpretation of UAV-Geophysical and Geochemical Data in Prospecting for Gold Ores." In GeoBaikal 2020. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.202052069.

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Piro, S., and A. Godio. "Integrated data processing of archaeological magnetic surveys." In 9th EAGE/EEGS Meeting. European Association of Geoscientists & Engineers, 2003. http://dx.doi.org/10.3997/2214-4609.201414613.

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"PREPROCESSING IN MAGNETIC FIELD IMAGING DATA." In International Conference on Bio-inspired Systems and Signal Processing. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003160504630466.

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Reports on the topic "Magnetic prospecting – Data processing"

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ZHANG, Li-Ping, Wei-Sheng HOU, Zhi-Jun YANG, Wen-Long WU, and Yong-Zhang ZHOU. An Improved EMD Approach and Its Application for Magnetic Data Processing. Cogeo@oeaw-giscience, September 2011. http://dx.doi.org/10.5242/iamg.2011.0078.

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Rheault, M. M., R. Simard, P. Keating, and M. M. Pelletier. Mineral exploration: digital image processing of LANDSAT, SPOT, magnetic and geochemical data. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1990. http://dx.doi.org/10.4095/128045.

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Symington, N., K. P. Tan, and R. von Spulak. Exploring for the Future – Surface Nuclear Magnetic Resonance (SNMR) method: data acquisition, processing and inversion. Geoscience Australia, 2020. http://dx.doi.org/10.11636/record.2020.059.

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Halker Singh, Rashmi B., Juliana H. VanderPluym, Allison S. Morrow, Meritxell Urtecho, Tarek Nayfeh, Victor D. Torres Roldan, Magdoleen H. Farah, et al. Acute Treatments for Episodic Migraine. Agency for Healthcare Research and Quality (AHRQ), December 2020. http://dx.doi.org/10.23970/ahrqepccer239.

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Abstract:
Objectives. To evaluate the effectiveness and comparative effectiveness of pharmacologic and nonpharmacologic therapies for the acute treatment of episodic migraine in adults. Data sources. MEDLINE®, Embase®, Cochrane Central Registrar of Controlled Trials, Cochrane Database of Systematic Reviews, PsycINFO®, Scopus, and various grey literature sources from database inception to July 24, 2020. Comparative effectiveness evidence about triptans and nonsteroidal anti-inflammatory drugs (NSAIDs) was extracted from existing systematic reviews. Review methods. We included randomized controlled trials (RCTs) and comparative observational studies that enrolled adults who received an intervention to acutely treat episodic migraine. Pairs of independent reviewers selected and appraised studies. Results. Data on triptans were derived from 186 RCTs summarized in nine systematic reviews (101,276 patients; most studied was sumatriptan, followed by zolmitriptan, eletriptan, naratriptan, almotriptan, rizatriptan, and frovatriptan). Compared with placebo, triptans resolved pain at 2 hours and 1 day, and increased the risk of mild and transient adverse events (high strength of the body of evidence [SOE]). Data on NSAIDs were derived from five systematic reviews (13,214 patients; most studied was ibuprofen, followed by diclofenac and ketorolac). Compared with placebo, NSAIDs probably resolved pain at 2 hours and 1 day, and increased the risk of mild and transient adverse events (moderate SOE). For other interventions, we included 135 RCTs and 6 comparative observational studies (37,653 patients). Compared with placebo, antiemetics (low SOE), dihydroergotamine (moderate to high SOE), ergotamine plus caffeine (moderate SOE), and acetaminophen (moderate SOE) reduced acute pain. Opioids were evaluated in 15 studies (2,208 patients).Butorphanol, meperidine, morphine, hydromorphone, and tramadol in combination with acetaminophen may reduce pain at 2 hours and 1 day, compared with placebo (low SOE). Some opioids may be less effective than some antiemetics or dexamethasone (low SOE). No studies evaluated instruments for predicting risk of opioid misuse, opioid use disorder, or overdose, or evaluated risk mitigation strategies to be used when prescribing opioids for the acute treatment of episodic migraine. Calcitonin gene-related peptide (CGRP) receptor antagonists improved headache relief at 2 hours and increased the likelihood of being headache-free at 2 hours, at 1 day, and at 1 week (low to high SOE). Lasmiditan (the first approved 5-HT1F receptor agonist) restored function at 2 hours and resolved pain at 2 hours, 1 day, and 1 week (moderate to high SOE). Sparse and low SOE suggested possible effectiveness of dexamethasone, dipyrone, magnesium sulfate, and octreotide. Compared with placebo, several nonpharmacologic treatments may improve various measures of pain, including remote electrical neuromodulation (moderate SOE), magnetic stimulation (low SOE), acupuncture (low SOE), chamomile oil (low SOE), external trigeminal nerve stimulation (low SOE), and eye movement desensitization re-processing (low SOE). However, these interventions, including the noninvasive neuromodulation devices, have been evaluated only by single or very few trials. Conclusions. A number of acute treatments for episodic migraine exist with varying degrees of evidence for effectiveness and harms. Use of triptans, NSAIDs, antiemetics, dihydroergotamine, CGRP antagonists, and lasmiditan is associated with improved pain and function. The evidence base for many other interventions for acute treatment, including opioids, remains limited.
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The Bank at Work - Head Office 65 Martin Place - Electronic Data Processing (EDP) Section - John O'Callaghan (seated at console) and Ron Wheeler loading a magnetic tape unit into the new computer - c.1968. Reserve Bank of Australia, September 2022. http://dx.doi.org/10.47688/rba_archives_pn-004679.

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