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Relevant bibliographies by topics / Geophysical reservoir monitoring

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Academic literature on the topic 'Geophysical reservoir monitoring'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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Journal articles on the topic "Geophysical reservoir monitoring"

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Lozada Aguilar, Miguel Ángel, Andrei Khrennikov, Klaudia Oleschko, and María de Jesús Correa. "Quantum Bayesian perspective for intelligence reservoir characterization, monitoring and management." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 375, no. 2106 (2017): 20160398. http://dx.doi.org/10.1098/rsta.2016.0398.

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The paper starts with a brief review of the literature about uncertainty in geological, geophysical and petrophysical data. In particular, we present the viewpoints of experts in geophysics on the application of Bayesian inference and subjective probability. Then we present arguments that the use of classical probability theory (CP) does not match completely the structure of geophysical data. We emphasize that such data are characterized by contextuality and non-Kolmogorovness (the impossibility to use the CP model), incompleteness as well as incompatibility of some geophysical measurements. T

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Caffagni, Enrico, and Götz Bokelmann. "Geophysical Monitoring of a Hydrocarbon Reservoir." Energy Procedia 97 (November 2016): 294–301. http://dx.doi.org/10.1016/j.egypro.2016.10.003.

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Keho, Timothy H., Shivaji N. Dasgupta, and Aldo L. Vesnaver. "Geophysical Reservoir Monitoring Forum in the Arabian Peninsula." Leading Edge 24, no. 8 (2005): 824–25. http://dx.doi.org/10.1190/1.2032257.

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Wilt, Michael, and David Alumbaugh. "Oil field reservoir characterization and monitoring using electromagnetic geophysical techniques." Journal of Petroleum Science and Engineering 39, no. 1-2 (2003): 85–97. http://dx.doi.org/10.1016/s0920-4105(03)00041-x.

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Irons, Trevor P., Brian J. O. L. McPhserson, Nathan Moodie, Rich Krahenbuhl, and Yaoguo Li. "Integrating geophysical monitoring data into multiphase fluid flow reservoir simulation." ASEG Extended Abstracts 2018, no. 1 (2018): 1–5. http://dx.doi.org/10.1071/aseg2018abw10_3b.

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Vasco, Donald W., Timothy H. Dixon, Alessandro Ferretti, and Sergey V. Samsonov. "Monitoring the fate of injected CO2 using geodetic techniques." Leading Edge 39, no. 1 (2020): 29–37. http://dx.doi.org/10.1190/tle39010029.1.

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Geodetic methods comprise one class of geophysical data that are sensitive to changes in effective pressure within operating reservoirs, albeit indirectly through induced deformation. Geodetic observations, which have observation intervals that vary from seconds to days, weeks, or months, generally provide more frequent sampling compared to existing geophysical methodologies (such as seismic time-lapse monitoring), which typically invoke repeat times of months to years. These differences in sampling intervals are primarily due to the extensive effort, and hence cost, of conducting geophysical

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Carpenter, Chris. "Study Investigates Using Borehole Gravity To Improve Reservoir Monitoring." Journal of Petroleum Technology 73, no. 03 (2021): 49–50. http://dx.doi.org/10.2118/0321-0049-jpt.

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This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper OTC 30626, “Brazil Presalt, Santos Basin: Feasibility Study for the Application of Borehole Gravity To Improve Reservoir Monitoring,” by Zhijun Du, Adrian Topham, SPE, and Jeremy C. Lofts, SPE, Silicon Microgravity, et al., prepared for the 2020 Offshore Technology Conference, originally scheduled to be held in Houston, 4-7 May. The paper has not been peer reviewed. Copyright 2020 Offshore Technology Conference. Reproduced by permission. The complete paper uses a feasibility study to present the potent

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Denli, Huseyin, and Lianjie Huang. "Elastic-wave sensitivity propagation." GEOPHYSICS 75, no. 3 (2010): T83—T97. http://dx.doi.org/10.1190/1.3428403.

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Effective and reliable reservoir monitoring is critically important for optimizing oil/gas production and ensuring safe geologic carbon sequestration. It requires an optimal sensor deployment that uses a minimum number of sensors to record the most significant information resulting from reservoir property changes. Conventional monitoring survey designs are typically based on seismic-wavefield illumination analyses, which cannot alone determine the best receiver locations for effective and reliable monitoring of reservoir property changes. We propose a new approach for designing seismic monitor

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Stenvold, Torkjell, Ola Eiken, and Martin Landrø. "Gravimetric monitoring of gas-reservoir water influx — A combined flow- and gravity-modeling approach." GEOPHYSICS 73, no. 6 (2008): WA123—WA131. http://dx.doi.org/10.1190/1.2991104.

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Knowledge of the magnitude and distribution of water influx can be essential for managing water-drive gas fields. Geophysical fieldwide monitoring can give valuable information, particularly offshore where well control is sparse and observation wells are expensive. Advances in the accuracy of seafloor time-lapse gravimetry have made this method feasible. It can quantify which areas are flooded, providing information complementary to well-monitoring, production, and 4D seismic data. Gravimetric monitoring may aid material-balance calculations, which are vital for assessing reservoir-drive mecha

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Brown, Stephen. "Modeling for geophysical monitoring of multiple phase saturation of rocks: Applications to CO2 sequestration." Interpretation 2, no. 2 (2014): SC47—SC60. http://dx.doi.org/10.1190/int-2013-0111.1.

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A numerical study of measured petrophysical properties was used to develop and demonstrate a workflow for monitoring [Formula: see text] sequestration in a subsurface reservoir. Amplitude versus offset (AVO) attributes can be sensitive discriminators for [Formula: see text] presence. The sensitivity of AVO attributes to [Formula: see text] saturation increased when an upscaling scheme that propagated the effects of small-scale heterogeneities was used. A global sensitivity analysis was then performed to study the importance of various rock properties that would be used as inputs in reservoir c

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Dissertations / Theses on the topic "Geophysical reservoir monitoring"

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Fohring, Jennifer. "Adaptive optimal experimental design and inversion of a coupled fluid flow and geophysical imaging model for reservoir monitoring." Thesis, University of British Columbia, 2016. http://hdl.handle.net/2429/58109.

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Imaging and prediction of fluid flow within the subsurface provides information crucial to decision making processes in fields such as groundwater management and enhanced oil recovery. The flow of a fluid through a reservoir depends primarily on the permeability of the subsurface rock; a quantity that is often unknown throughout the entire domain of the reservoir. One method for predicting flow is to estimate the permeability of the reservoir and simulate flow through a mathematical subsurface flow model. Given the model, flow data can be inverted to estimate the permeability. However, this in

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Kirchner, Andreas. "Efficient repeat-modelling of time-lapse seismograms for reservoir monitoring /." [Karlsruhe] : Die Universität, 2001. http://www.ubka.uni-karlsruhe.de/vvv/2001/physik/2/2.pdf.

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Thesis (Doctoral)--Universität Karlsruhe, 2000.<br>Abstract in German. Hochschulschrift = Thèse/Mémoire. Also available via the World Wide Web. http://www.ubka.uni-karlsruhe.de/cgi-bin/psview?document=2001/physik/2

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Wang, Zan. "Characterization and Monitoring of Geochemical and Geophysical Effects of CO2 Leakage from Sequestration Reservoirs." Research Showcase @ CMU, 2015. http://repository.cmu.edu/dissertations/498.

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Geological carbon sequestration is considered a promising initial option to slow or reduce global atmospheric CO2 concentrations. To demonstrate that the implementation of carbon sequestration is safe and effective as a greenhouse gas control technology, characterization and monitoring of geochemical and geophysical effects of CO2 leakage from sequestration reservoirs is crucial. A multimodel predictive system (MMoPS) has been developed to predict CO2 solubility in brine more accurately, so that storage capacity and cost estimates could be improved. The CO2 leakage level is characterized throu

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Ellison, Shelley J. "Modeling Offset-Dependent Reflectivity for Time-Lapse Monitoring of Water-Flood Production in Thin-Layered Reservoirs." Thesis, Virginia Tech, 2001. http://hdl.handle.net/10919/34058.

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Seismic time-lapse monitoring of production is an important tool used to efficiently drain a hydrocarbon reservoir. Repeat seismic surveys may be used, because the seismic method is sensitive to the reservoir fluid. A prominent seismic attribute is the reflectivity (or amplitude) as a function of offset (AVO) which strongly depends on material properties, and hence, on the pore fluid. Repeat surveys, however, are very costly. To reduce the risks, the repeat survey is simulated on a computer for a number of different scenarios. Hence, the objectives of this study are to predict the seismic

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De, Cacqueray Benoit. "Dispositifs géophysiques en laboratoire ondes de surfaces traitement d'antennes et haute densité spatiale." Thesis, Grenoble, 2012. http://www.theses.fr/2012GRENU027/document.

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La sismique pétrolière est un domaine d'innovation continue depuis plus d'un siècle. Une part non négligeable des études concerne la séparation des différentes ondes se propageant dans le milieu exploré, en particulier les ondes de surface. A petite profondeur, les ondes de surfaces servent à la tomographie. Bien les connaître et les modéliser permet d'imager la proche surface. Quand la prospection est tournée vers les grandes profondeurs – soit 95% de l'industrie géophysique - ces ondes masquent les ondes de volume qui contiennent les informations sur les couches profondes. Il est donc fondam

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Börner, Jana H. "Electrical phenomena during CO2–rock interaction under reservoir conditions : experimental investigations and their implications for electromagnetic monitoring applications." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2016. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-206674.

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Geophysical methods are essential for exploration and monitoring of subsurface formations, e.g. in carbon dioxide sequestration or enhanced geothermal energy. One of the keys to their successful application is the knowledge of how the measured physical quantities are related to the desired reservoir parameters. The work presented in this thesis shows that the presence of carbon dioxide (CO2) in pore space gives rise to multiple processes all of which contribute to the electrical rock conductivity variation. Basically, three mechanisms take place: (1) CO2 partially replaces the pore water, whic

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Shahin, Alireza. "Detection of production-induced time-lapse signatures by geophysical (seismic and CSEM) measurements." Thesis, 2011. http://hdl.handle.net/2152/ETD-UT-2011-05-2785.

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While geophysical reservoir characterization has been an area of research for the last three decades, geophysical reservoir monitoring, time-lapse studies, have recently become an important geophysical application. Generally speaking, the main target is to detect, estimate, and discriminate the changes in subsurface rock properties due to production. This research develops various sensitivity and feasibility analyses to investigate the effects of production-induced time-lapse changes on geophysical measurements including seismic and controlled-source electromagnetic (CSEM) data. For doing so,

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Books on the topic "Geophysical reservoir monitoring"

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Verdon, James P. Microseismic Monitoring and Geomechanical Modelling of CO2 Storage in Subsurface Reservoirs. Springer Berlin Heidelberg, 2012.

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Verdon, James P. Microseismic Monitoring and Geomechanical Modelling of CO2 Storage in Subsurface Reservoirs. Springer, 2012.

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Book chapters on the topic "Geophysical reservoir monitoring"

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Dimri, V. P., R. P. Srivastava, and Nimisha Vedanti. "Seismic Reservoir Monitoring." In Handbook of Geophysical Exploration: Seismic Exploration. Elsevier, 2012. http://dx.doi.org/10.1016/b978-0-08-045158-9.00004-x.

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Marsala, Alberto, Michael S. Zhdanov, Vladimir Burtman, Leif Cox, David Sunwall, and Martin Ćuma. "Feasibility study of reservoir monitoring using the induced polarization effect associated with nanoparticles." In Active Geophysical Monitoring. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-08-102684-7.00007-8.

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Smith, Robert, Andrey Bakulin, Michael Jervis, and Abdullah Alramadhan. "Comprehensive seismic monitoring of an onshore carbonate reservoir: a case study from a desert environment." In Active Geophysical Monitoring. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-08-102684-7.00027-3.

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KRITSTIANSEN, PÅL, OLAV HOLBERG, DICK IRESON, Paul Weimer, and Robert E. Sheriff. "Reservoir Characterization and Monitoring Utilizing Seismic Methods: A Flexible Multi-Disciplinary Approach." In Stratigraphic Analysis Utilizing Advanced Geophysical, Wireline and Borehole Technology for Petroleum Exploration and Productioni: 17th Annual. SOCIETY OF ECONOMIC PALEONTOLOGISTS AND MINERALOGISTS, 1996. http://dx.doi.org/10.5724/gcs.96.17.0167.

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Black, Noel, and Michael S. Zhdanov. "Active geophysical monitoring of hydrocarbon reservoirs using electromagnetic methods." In Active Geophysical Monitoring. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-08-102684-7.00004-2.

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Wan, Le, Muran Han, Hassan Ali AlJanobi, and Michael S. Zhdanov. "Feasibility study of gravity gradiometry monitoring of CO2 sequestration in deep reservoirs using surface and borehole data." In Active Geophysical Monitoring. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-08-102684-7.00006-6.

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"6. Reservoir Geomechanics and 4D Seismic Monitoring." In Geophysics Under Stress. Society of Exploration Geophysicists and European Association of Geoscientists and Engineers, 2010. http://dx.doi.org/10.1190/1.9781560802129.ch6.

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Black, Noel, and Michael S. Zhdanov. "Active Geophysical Monitoring of Hydrocarbon Reservoirs Using EM Methods." In Handbook of Geophysical Exploration: Seismic Exploration. Elsevier, 2010. http://dx.doi.org/10.1016/s0950-1401(10)04013-9.

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Conference papers on the topic "Geophysical reservoir monitoring"

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Nur, A., and J. Dvorkin. "Rockphysics basis for geophysical reservoir monitoring." In 55th EAEG Meeting. European Association of Geoscientists & Engineers, 1993. http://dx.doi.org/10.3997/2214-4609.201411711.

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N. Dasgupta, S. "Emerging Geophysical Tools for Reservoir Monitoring." In EAGE Workshop on Non-Seismic Methods. European Association of Geoscientists & Engineers, 2008. http://dx.doi.org/10.3997/2214-4609.201402608.

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Engbers, Peter, Fahad Al-Kindy, Helmut Friesacher, Nasser Al-Touqi, and Saeed Al-Yarubi and Issa Al-Quseimi. "Geophysical reservoir monitoring: Where we are!" In GEO 2008. European Association of Geoscientists & Engineers, 2008. http://dx.doi.org/10.3997/2214-4609-pdb.246.131.

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Passalacqua, H., and K. Strack. "Integrated Geophysical Reservoir Monitoring for Heavy Oil." In SPE Heavy Oil Conference and Exhibition. Society of Petroleum Engineers, 2016. http://dx.doi.org/10.2118/184089-ms.

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G. Budanov, V., A. B. Beklemischev, O. A. Potapov, B. S. Lokshin, and T. V. Peshaya. "Rational Geophysical Strategy of Reservoirs Delineation and Monitoring." In EAGE/SEG Workshop - Depth Imaging of Reservoir Attributes. European Association of Geoscientists & Engineers, 1998. http://dx.doi.org/10.3997/2214-4609.201406705.

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Lumley, David E., and Ronald A. Behrens. "Practical geophysical issues of 4D seismic reservoir monitoring." In SEG Technical Program Expanded Abstracts 1997. Society of Exploration Geophysicists, 1997. http://dx.doi.org/10.1190/1.1885825.

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N. Dasgupta, S. "Reservoir Monitoring in Producing Fields with Innovative Geophysical Technology." In 71st EAGE Conference and Exhibition incorporating SPE EUROPEC 2009. European Association of Geoscientists & Engineers, 2009. http://dx.doi.org/10.3997/2214-4609.201400568.

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Alumbaugh, David L., and Michael J. Wilt. "Improved reservoir characterization and monitoring using electromagnetic geophysical techniques." In International Symposium on Optical Science and Technology, edited by Cam Nguyen. SPIE, 2000. http://dx.doi.org/10.1117/12.390611.

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Zachariassen, E., J. A. Skjervheim, J. Gustav Vabø, I. Lunt, and J. Hove. "Integrated Workflow for Model Update Using Geophysical Reservoir Monitoring Data." In EAGE/SPE Joint Workshop - Closing the Loop: Reservoir Simulation and Geophysical Measurements. EAGE Publications BV, 2011. http://dx.doi.org/10.3997/2214-4609.201410330.

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Roehl, Katianne. "Coda wave interferometry analysis for poroelastic reservoir monitoring." In International Congress of the Brazilian Geophysical Society&Expogef. Brazilian Geophysical Society, 2019. http://dx.doi.org/10.22564/16cisbgf2019.082.

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