Academic literature on the topic 'Rock Physics Model'

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Journal articles on the topic "Rock Physics Model"

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Li, Yongyi, Lev Vernik, Mark Chapman, and Joel Sarout. "Introduction to this special section: Rock physics." Leading Edge 38, no. 5 (2019): 332. http://dx.doi.org/10.1190/tle38050332.1.

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Rock physics links the physical properties of rocks to geophysical and petrophysical observations and, in the process, serves as a focal point in many exploration and reservoir characterization studies. Today, the field of rock physics and seismic petrophysics embraces new directions with diverse applications in estimating static and dynamic reservoir properties through time-variant mechanical, thermal, chemical, and geologic processes. Integration with new digital and computing technologies is gradually gaining traction. The use of rock physics in seismic imaging, prestack seismic analysis, s
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Grana, Dario. "Multivariate probabilistic rock-physics models using Kumaraswamy distributions." GEOPHYSICS 86, no. 5 (2021): MR261—MR270. http://dx.doi.org/10.1190/geo2021-0124.1.

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Rock-physics models are physical equations that map petrophysical properties into geophysical variables, such as elastic properties and density. These equations are generally used in quantitative log and seismic interpretation to estimate the properties of interest from measured well logs and seismic data. Such models are generally calibrated using core samples and well-log data and result in accurate predictions of the unknown properties. Because the input data are often affected by measurement errors, the model predictions are often uncertain. Instead of applying rock-physics models to deter
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Mur, Alan, and Lev Vernik. "Testing popular rock-physics models." Leading Edge 38, no. 5 (2019): 350–57. http://dx.doi.org/10.1190/tle38050350.1.

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In the spirit of classic rock physics, and as an ideal foundation for conventional quantitative interpretation workflows, we consider several popular models relating elastic rock properties to their composition, microstructure, and effective stress on the background of a worldwide log data set, incorporating sands and shales characterized by the maximum dynamic impedance range. We demonstrate that the patchy cement model, ellipsoidal inclusion model, and siliciclastic diagenesis model may be calibrated successfully against the world data set and used in seismic rock property log restoration/ed
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Khadeeva, Yulia, and Lev Vernik. "Rock-physics model for unconventional shales." Leading Edge 33, no. 3 (2014): 318–22. http://dx.doi.org/10.1190/tle33030318.1.

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Grana, Dario. "Bayesian linearized rock-physics inversion." GEOPHYSICS 81, no. 6 (2016): D625—D641. http://dx.doi.org/10.1190/geo2016-0161.1.

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The estimation of rock and fluid properties from seismic attributes is an inverse problem. Rock-physics modeling provides physical relations to link elastic and petrophysical variables. Most of these models are nonlinear; therefore, the inversion generally requires complex iterative optimization algorithms to estimate the reservoir model of petrophysical properties. We have developed a new approach based on the linearization of the rock-physics forward model using first-order Taylor series approximations. The mathematical method adopted for the inversion is the Bayesian approach previously app
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Vlahou, I., and M. G. Worster. "Freeze fracturing of elastic porous media: a mathematical model." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 471, no. 2175 (2015): 20140741. http://dx.doi.org/10.1098/rspa.2014.0741.

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We present a mathematical model of the fracturing of water-saturated rocks and other porous materials in cold climates. Ice growing inside porous rocks causes large pressures to develop that can significantly damage the rock. We study the growth of ice inside a penny-shaped cavity in a water-saturated porous rock and the consequent fracturing of the medium. Premelting of the ice against the rock, which results in thin films of unfrozen water forming between the ice and the rock, is one of the dominant processes of rock fracturing. We find that the fracture toughness of the rock, the size of pr
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Grana, Dario. "Probabilistic approach to rock physics modeling." GEOPHYSICS 79, no. 2 (2014): D123—D143. http://dx.doi.org/10.1190/geo2013-0333.1.

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Rock physics modeling aims to provide a link between rock properties, such as porosity, lithology, and fluid saturation, and elastic attributes, such as velocities or impedances. These models are then used in quantitative seismic interpretation and reservoir characterization. However, most of the geophysical measurements are uncertain; therefore, rock physics equations must be combined with mathematical tools to account for the uncertainty in the data. We combined probability theory with rock physics modeling to make predictions of elastic properties using probability distributions rather than
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Ruiz, Franklin, and Arthur Cheng. "A rock physics model for tight gas sand." Leading Edge 29, no. 12 (2010): 1484–89. http://dx.doi.org/10.1190/1.3525364.

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Rasolofosaon, Patrick N. "Unified phenomenological model for the mechanical behavior of rocks." GEOPHYSICS 74, no. 5 (2009): WB107—WB116. http://dx.doi.org/10.1190/1.3169505.

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Various types of experiments are used to interrogate the mechanical behavior of rocks. The whole experimental spectrum covers many orders of magnitude in frequency (roughly ten orders of magnitude) and in strain (approximately eight orders of magnitude). These experimental studies have established unambiguously a certain number of robust results, namely, frequency dependence, dependence on stress-strain level (nonlinearity), eventually the presence of hysteresis (stress is not an analytic function of strain), and dependence on the direction of observation (anisotropy). These four behaviors are
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Chen, Jinsong, and G. Michael Hoversten. "Joint inversion of marine seismic AVA and CSEM data using statistical rock-physics models and Markov random fields." GEOPHYSICS 77, no. 1 (2012): R65—R80. http://dx.doi.org/10.1190/geo2011-0219.1.

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Joint inversion of seismic AVA and CSEM data requires rock-physics relationships to link seismic attributes to electric properties. Ideally, we can connect them through reservoir parameters (e.g., porosity and water saturation) by developing physical-based models, such as Gassmann’s equations and Archie’s law, using nearby borehole logs. This could be difficult in the exploration stage because information available is typically insufficient for choosing suitable rock-physics models and for subsequently obtaining reliable estimates of the associated parameters. The use of improper rock-physics
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Dissertations / Theses on the topic "Rock Physics Model"

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Jihui, Jia. "Microscopic and Macroscopic Characterization on Mechanical Properties of Gas Hydrate." 京都大学 (Kyoto University), 2016. http://hdl.handle.net/2433/215521.

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Spikes, Kyle Thomas. "Probabilistic seismic inversion based on rock-physics models for reservoir characterization /." May be available electronically:, 2008. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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Yan, Jun. "Improved rock physical models for the integration of core, log and seismic data." Thesis, University of Edinburgh, 2003. http://hdl.handle.net/1842/11633.

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In this thesis, I propose the following: - The P and S-wave velocities can provide a suitable link between reservoir parameters and rock properties using core, log and seismic data. - The pore aspect ratios as key parameters of rock geometry can be used to explain the different responses of elastic properties in clay-sand rocks (especially for thin and varying lithology formations). The use of fixed aspect ratio for physical velocity models will result in obvious errors in the prediction of elastic moduli and velocities (in particular for formations at shallow depth, or in loose and thin layer
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Lueck, Anthony. "Characterizing two carbonate formations for CO₂-EOR and carbon geosequestration: applicability of existing rock physics models and implications for feasibility of a time lapse monitoring program in the Wellington Oil Field, Sumner County, Kansas." Thesis, Kansas State University, 2016. http://hdl.handle.net/2097/34629.

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Master of Science<br>Department of Geology<br>Abdelmoneam Raef<br>This study focuses on characterizing subsurface rock formations of the Wellington Field, in Sumner County, Kansas, for both geosequestration of carbon dioxide (CO₂) in the saline Arbuckle formation, and enhanced oil recovery of a depleting Mississippian oil reservoir. Multi-scale data including rock core plug samples, laboratory ultrasonic P-&S-waves, X-ray diffraction, and well log data including sonic and dipole sonic, is integrated in an effort to evaluate existing rock physics models, with the objective of establishing a mod
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Degenhardt, John Jerome. "A model for the development of a lobate alpine rock glacier in southwest Colorado, USA implications for water on Mars /." Texas A&M University, 2002. http://hdl.handle.net/1969/320.

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Adrian, Jorge Isaac. "Applicability of rock physics models in conjunction with seismic inverted data to characterize a low poro-perm gas-bearing sandstone reservoir for well location optimization, Bredasdorp Basin, SA." Master's thesis, University of Cape Town, 2015. http://hdl.handle.net/11427/19963.

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The primary focus of this dissertation is to develop a predictive rock physics theory that establishes relations between rock properties and the observed seismic and to present the results of different seismic characterization techniques to interpret a tight gas sand reservoir off the south coast of South Africa using as input rock physics analysis and inverted seismic outcomes. To perform the aims and goals of this study a workflow that involves the execution of three main processes was implemented: (1) rock physics modelling, (2) a simultaneous seismic inversion, and (3) seismic re
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Corrêa, Fernando Santos. "Evolução halocinética da região centro-norte da Bacia de Santos, Brasil /." Rio Claro : [s.n.], 2009. http://hdl.handle.net/11449/102942.

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Resumo: O interesse pela exploração petrolífera em armadilhas associadas à halocinese motivou a realização deste trabalho, que teve como objetivo caracterizar e descrever a evolução halocinética da região centro-norte da Bacia de Santos. Dados sísmicos e de poços foram utilizados na determinação do arcabouço estrutural-estratigráfico e na evolução cinemática do sal, por meio de técnicas de restauração palinspática. O contexto geológico-estrutural estabelecido serviu de alicerce para análise da dinâmica do sal em experimentos físicos análogos em caixa de areia com silicone. A área foi palco de
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Ertugrul, Ozgur Lutfi. "Influence Of Deformable Geofoam Bufers On The Static And Dynamic Behaviors Of Cantilever Retaining Walls." Phd thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613734/index.pdf.

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Static and dynamic interaction mechanism of the retained soil-compressible geofoam buffer and yielding retaining structures requires further investigation. The present study, initiated on this motive, discusses the results of 1-g physical model tests and numerical analyses of cantilever retaining walls with and without deformable geofoam buffers between the wall and cohesionless granular backfill. 0.7m high walls with various wall thicknesses were utilized in the physical modeling. Dynamic tests were carried out by using a laminar container placed on a uni-axial shaking table. Influence of bu
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Brodard, Aurélie. "Caractérisation thermique de structures de combustion par les effets de la chauffe sur les minéraux : thermoluminescence et propriétés magnétiques de foyers de la grotte des Fraux (Dordogne)." Phd thesis, Université Michel de Montaigne - Bordeaux III, 2013. http://tel.archives-ouvertes.fr/tel-00870483.

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Les structures de combustion constituent un témoin de la fréquentation humaine et leur étude permet d'appréhender un aspect du mode d'occupation d'un lieu donné. Ainsi, pour compléter les approches classiques qui s'intéressent à la typologie des foyers, à la fréquence des feux, à la nature des combustibles, etc., une caractérisation thermique de ces structures a été proposée. Elle s'appuie sur les impacts thermiques enregistrés par les sédiments soumis aux feux et plus précisément sur les modifications des propriétés de thermoluminescence (TL) et de magnétisme avec la chauffe.Le site-laboratoi
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Corrêa, Fernando Santos [UNESP]. "Evolução halocinética da região centro-norte da Bacia de Santos, Brasil." Universidade Estadual Paulista (UNESP), 2009. http://hdl.handle.net/11449/102942.

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Made available in DSpace on 2014-06-11T19:32:19Z (GMT). No. of bitstreams: 0 Previous issue date: 2009-07-28Bitstream added on 2014-06-13T20:47:22Z : No. of bitstreams: 1 correa_fs_dr_rcla.pdf: 17492057 bytes, checksum: 8cc4d1d3ffe575008117e1eb0708fac5 (MD5)<br>O interesse pela exploração petrolífera em armadilhas associadas à halocinese motivou a realização deste trabalho, que teve como objetivo caracterizar e descrever a evolução halocinética da região centro-norte da Bacia de Santos. Dados sísmicos e de poços foram utilizados na determinação do arcabouço estrutural-estratigráfico e na evo
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Books on the topic "Rock Physics Model"

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Sayuri, Kimoto, ed. Computational modeling of multi-phase geomaterials. Taylor & Francis, 2012.

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Simulation and Analysis of Wing Rock Physics for a Generic Fighter Model with Three Degrees-of-Freedom. Storming Media, 2000.

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Dell'Aversana, Paolo. Integrated Geophysical Models - Combining Rock Physics with Seismic, Electromagnetic and Gravity Data. EAGE Publications bv, 2014. http://dx.doi.org/10.3997/9789073834927.

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Ebook: Integrated Geophysical Models - Combining Rock Physics with Seismic, Electromagnetic and Gravity Data. EAGE Publications bv, 2014. http://dx.doi.org/10.3997/9789462820067.

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Nolte, David D. A New Scientist. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198805847.003.0002.

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Galileo Galilei was the first modern scientist, launching a new scientific method that superseded, after one and a half millennia, Aristotle’s physics. This chapter describes the trajectory of Galileo’s career, beginning with his studies of motion at the University of Pisa that were interrupted after his move to the University of Padua by his telescopic discoveries of mountains on the Moon and the moons of Jupiter. Galileo became the first rock star of science, and he used his fame to promote the ideas of Copernicus and the Sun-centered model of the solar system. But he pushed too far when he
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Doveton, John H. Principles of Mathematical Petrophysics. Oxford University Press, 2014. http://dx.doi.org/10.1093/oso/9780199978045.001.0001.

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The pioneering work of Gus Archie moved log interpretation into log analysis with the introduction of the equation that bears his name. Subsequent developments have mixed empiricism, physics, mathematical algorithms, and geological or engineering models as methods applied to petrophysical measurements in boreholes all over the world. Principles of Mathematical Petrophysics reviews the application of mathematics to petrophysics in a format that crystallizes the subject as a subdiscipline appropriate for the workstations of today. The subject matter is of wide interest to both academic and indus
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(Editor), George E. Exadaktylos, and Ioannis G. Vardoulakis (Editor), eds. Bifurcations, Instabilities, Degradation in Geomechanics. Springer, 2007.

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Mechanics of Crustal Rocks CISM International Centre for Mechanical Sciences. Springer Wien New York, 2011.

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Tossell, John A., and David J. Vaughan. Theoretical Geochemistry. Oxford University Press, 1992. http://dx.doi.org/10.1093/oso/9780195044034.001.0001.

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This work is based on the observation that further major advances in geochemistry, particularly in understanding the rules that govern the ways in which elements come together to form minerals and rocks, will require the application of the theories of quantum mechanics. The book therefore outlines this theoretical background and discusses the models used to describe bonding in geochemical systems. It is the first book to describe and critically review the application of quantum mechanical theories to minerals and geochemical systems. The book consolidates valuable findings from chemistry and m
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Book chapters on the topic "Rock Physics Model"

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Jiang, Mingjing, Wenwen Liu, and Zhaowen Liao. "A Novel Rock Contact Model Considering Water-Softening and Chemical Weathering Effects." In Springer Proceedings in Physics. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1926-5_48.

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Purnamasari, Ida Ayu, Wan Ismail Wan Yusoff, and Chow Weng Sum. "Rock Physics Diagnostics and Effective Medium Model of Boonsville Field." In ICIPEG 2014. Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-368-2_30.

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Wu, Li, Fan Yang, Jian Wang, and Guangxin Wang. "3D Discrete Element Model for TBM Cutter Breaking Rock and Dynamic Loads Analysis." In Springer Proceedings in Physics. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1926-5_97.

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Peng, Jianwen, Changhong Li, and Ali Tarokh. "Dimensions and Brittleness Effect on the Size of Process Zone in Rock-like Material Characterized by Bonded Particle Model." In Springer Proceedings in Physics. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1926-5_92.

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Fortin, Jerome, Sergei Stanchits, Georg Dresen, and Yves Gueguen. "Acoustic Emissions Monitoring during Inelastic Deformation of Porous Sandstone: Comparison of Three Modes of Deformation." In Rock Physics and Natural Hazards. Birkhäuser Basel, 2009. http://dx.doi.org/10.1007/978-3-0346-0122-1_5.

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Singh, Kumar Hemant, Anil Kumar, Sanjay Pandit, and Ashok Soni. "Partitioning of Porosity for Carbonate Reservoirs Using Differential Effective Medium Models." In Petro-physics and Rock Physics of Carbonate Reservoirs. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-1211-3_10.

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Vladilo, Giovanni, Laura Silva, Michele Maris, Giuseppe Murante, and Paolo Simonetti. "SETI in Rocky Exoplanets: Narrowing the Search with Climate Models." In Springer Proceedings in Physics. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63806-1_14.

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Zhou, W. Y., P. Lin, R. Q. Yang, and Q. Yang. "A comparison of dam fracture studies between physical model tests and numerical analysis." In Development and Application of Discontinuous Modelling for Rock Engineering. CRC Press, 2021. http://dx.doi.org/10.1201/9781003211389-18.

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Matile, Luzius, Alan Bruce Thompson, and Peter Ulmer. "A Fractionation Model for Hydrous Calc-Alkaline Plutons and the Heat Budget During Fractional Crystallisation and Assimilation." In Physics and Chemistry of Partially Molten Rocks. Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-011-4016-4_6.

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Barenblatt, G. I., V. M. Entov, and V. M. Ryzhik. "The Basic Physical Concepts and Models of Subterranean Fluid Dynamics." In Theory of Fluid Flows Through Natural Rocks. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-015-7899-8_1.

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Conference papers on the topic "Rock Physics Model"

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Bin Gubair*, M. S., and A. Bakhorji. "Tuwaiq Mountain Rock Physics Model." In Second EAGE/SPE/AAPG Shale Gas Workshop in the Middle East. EAGE Publications BV, 2014. http://dx.doi.org/10.3997/2214-4609.20142270.

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Khadeeva, Yulia, and Lev Vernik. "Rock physics model for unconventional shales." In SEG Technical Program Expanded Abstracts 2013. Society of Exploration Geophysicists, 2013. http://dx.doi.org/10.1190/segam2013-0986.1.

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Le, Huy, Anshuman Pradhan, Nader C. Dutta, Biondo Biondi, Tapan Mukerji, and Stewart A. Levin. "Rock physics guided velocity model building." In SEG Technical Program Expanded Abstracts 2018. Society of Exploration Geophysicists, 2018. http://dx.doi.org/10.1190/segam2018-2998543.1.

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Spikes, Kyle, Jack Dvorkin, and Gary Mavko. "Rock physics model‐based seismic inversion." In SEG Technical Program Expanded Abstracts 2006. Society of Exploration Geophysicists, 2006. http://dx.doi.org/10.1190/1.2369836.

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Liu, Z. S., S. Z. Sun, P. F. Wang, et al. "Differential Kuster-Toksöz Rock Physics Model for Multiple-porosity Rocks." In 77th EAGE Conference and Exhibition 2015. EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201412846.

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Nateganov, A., T. Cadoret, F. Pivot, and S. Amoyedo. "The Rock Physics Model: A Key Element for Seismic Back-Loop from a Geological Model." In Third EAGE Workshop on Rock Physics. EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201414392.

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Luo*, Hongmei, Xiaorong Luo, Xiangyang Wu, Shuhui Liu, and Changjiang Wang. "Rock Physics Model for Tight Sandy Conglomerates." In Beijing 2014 International Geophysical Conference & Exposition, Beijing, China, 21-24 April 2014. Society of Exploration Geophysicists and Chinese Petroleum Society, 2014. http://dx.doi.org/10.1190/igcbeijing2014-252.

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Huo, Zhizhou, Ning Dong, and Zhishui Liu. "A New Rock Physics Model for shale." In Beijing 2014 International Geophysical Conference & Exposition, Beijing, China, 21-24 April 2014. Society of Exploration Geophysicists and Chinese Petroleum Society, 2014. http://dx.doi.org/10.1190/igcbeijing2014-284.

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Irayani, Zaroh, Umar Fauzi, and Fourier Dzar Eljabbar Latief. "Permeability anisotropy of layering rock model." In THE 5TH ASIAN PHYSICS SYMPOSIUM (APS 2012). AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4917135.

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Bukhamseen, Q. A., A. Bakhorji, and R. Lubbe. "An Effective Inclusion Rock Physics Model for Clastic and Carbonate Reservoirs." In Third EAGE Workshop on Rock Physics. EAGE Publications BV, 2015. http://dx.doi.org/10.3997/2214-4609.201414411.

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Reports on the topic "Rock Physics Model"

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de Caritat, Patrice, Brent McInnes, and Stephen Rowins. Towards a heavy mineral map of the Australian continent: a feasibility study. Geoscience Australia, 2020. http://dx.doi.org/10.11636/record.2020.031.

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Heavy minerals (HMs) are minerals with a specific gravity greater than 2.9 g/cm3. They are commonly highly resistant to physical and chemical weathering, and therefore persist in sediments as lasting indicators of the (former) presence of the rocks they formed in. The presence/absence of certain HMs, their associations with other HMs, their concentration levels, and the geochemical patterns they form in maps or 3D models can be indicative of geological processes that contributed to their formation. Furthermore trace element and isotopic analyses of HMs have been used to vector to mineralisatio
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Combining Multicomponent Seismic Attributes, New Rock Physics Models, and In Situ Data to Estimate Gas-Hydrate Concentrations in Deep-Water, Near-Seafloor Strata of the Gulf of Mexico. Office of Scientific and Technical Information (OSTI), 2009. http://dx.doi.org/10.2172/968340.

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