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Books on the topic 'Oil reservoir simulation'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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1

Fanchi, John R. Principles of applied reservoir simulation. Houston, Tex: Gulf Pub., 1997.

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2

Principles of applied reservoir simulation. 2nd ed. Boston: Gulf Pub., 2001.

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3

Islam, M. Rafiqul, and Rafiqul Islam. Advanced petroleum reservoir simulation. Hoboken, N.J: Wiley, 2010.

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4

(Firm), Knovel, ed. Principles of applied reservoir simulation. 3rd ed. Amsterdam: Gulf Professional Pub., 2006.

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5

Reservoir simulation: Mathematical techniques in oil recovery. Philadelphia, PA: SIAM/Society for Industrial and Applied Mathematics, 2007.

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6

Lecture notes on applied reservoir simulation. Hackensack, N.J: World Scientific Pub., 2005.

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7

M, Iqbal Ghulam, and Buchwalter James L, eds. Practical enhanced reservoir engineering: Assisted with simulation software. Tulsa, Okla: PennWell Corp., 2008.

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8

Chavent, Guy. Mathematical models and finite elements for reservoir simulation: Single phase, multiphase and multicomponent flairs through porous media. Amsterdam: North-Holland, 1986.

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9

Pointe, P. R. La, and Y. Zee Ma. Uncertainty analysis and reservoir modeling. Tulsa, OK: American Association of Petroleum Geologists, 2011.

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10

Mazo, Aleksandr, and Konstantin Potashev. The superelements. Modeling of oil fields development. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1043236.

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This monograph presents the basics of super-element modeling method of two-phase fluid flows occurring during the development of oil reservoir. The simulation is performed in two stages to reduce the spatial and temporal scales of the studied processes. In the first stage of modeling of development of oil deposits built long-term (for decades) the model of the global dynamics of the flooding on the super-element computational grid with a step equal to the average distance between wells (200-500 m). Local filtration flow, caused by the action of geological and technical methods of stimulation, are modeled in the second stage using a special mathematical models using computational grids with high resolution detail for the space of from 0.1 to 10 m and time — from 102 to 105 C. The results of application of the presented models to the solution of practical tasks of development of oil reservoir. Special attention is paid to the issue of value transfer in filtration-capacitive properties of the reservoir, with a detailed grid of the geological model on the larger grid reservoir models. Designed for professionals in the field of mathematical and numerical modeling of fluid flows occurring during the development of oil fields and using traditional commercial software packages, as well as developing their own software. May be of interest to undergraduate and graduate students studying in areas such as "Mechanics and mathematical modeling", "Applied mathematics", "Oil and gas".
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11

Chu ceng miao shu ji you qi yu ce fang fa yu ying yong: Chuceng miaoshu ji youqi yuce fangfa yu yingyong. Wuhan Shi: Hubei ke xue ji shu chu ban she, 2011.

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12

Chavent, Guy. Mathematical models and finite elements for reservoir simulation: Single phase, multiphase, and multicomponent flows through porous media. Amsterdam: North-Holland, 1986.

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13

C, Mattax Calvin, and Dalton Robert L, eds. Reservoir simulation. Richardson, TX: Henry L. Doherty Memorial Fund of AIME, Society of Petroleum Engineers, 1990.

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14

Advanced Petroleum Reservoir Simulation. Wiley & Sons, Limited, John, 2016.

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15

Islam, M. R., Shabbir Mustafiz, Jamal H. Abou-Kassem, and S. Hossien Mousavizadegan. Advanced Petroleum Reservoir Simulation. Wiley & Sons, Incorporated, John, 2010.

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16

Islam, M. R., M. E. Hossain, Shabbir Mustafiz, Jamal H. Abou-Kassem, and S. Hossien Mousavizadegan. Advanced Petroleum Reservoir Simulation: Towards Developing Reservoir Emulators. Wiley & Sons, Incorporated, John, 2016.

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17

Islam, M. R., M. E. Hossain, Shabbir Mustafiz, Jamal H. Abou-Kassem, and S. Hossien Mousavizadegan. Advanced Petroleum Reservoir Simulation: Towards Developing Reservoir Emulators. Wiley & Sons, Incorporated, John, 2016.

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18

Reservoir Engineering: Fundamentals, Reservoir Simulation, Management, and Unconventional Recoveries. Elsevier Science & Technology Books, 2015.

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19

Pievatolo, Antonio, and Fabrizio Ruggeri. Bayes linear uncertainty analysis for oil reservoirs based on multiscale computer experiments. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.10.

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This article discusses the results of a Bayes linear uncertainty analysis for oil reservoirs based on multiscale computer experiments. Using the Gullfaks oil and gas reservoir located in the North Sea as a case study, the article demonstrates the applicability of Bayes linear methods to address highly complex problems for which the full Bayesian analysis may be computationally intractable. A reservoir simulation model, run at two different levels of complexity, is used, and a simulator of a hydrocarbon reservoir represents properties of the reservoir on a three-dimensional grid. The article also describes a general formulation for the approach to uncertainty analysis for complex physical systems given a computer model for that system. Finally, it presents the results of simulations and forecasting for the Gullfaks reservoir.
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20

Basic Applied Reservoir Simulation. Society of Petroleum , 2011.

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21

Ertekin, T. Basic Applied Reservoir Simulation. Society of Petroleum, 2001.

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22

Principles of Applied Reservoir Simulation. Elsevier Science & Technology Books, 2005.

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23

Principles of Applied Reservoir Simulation. Elsevier Science & Technology, 2018.

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24

Rafiqul, Islam M., ed. Advanced petroleum reservoir simulation. Hoboken, N.J: Wiley, 2010.

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25

PH, D. JOHN R. FANCHI. Principles of Applied Reservoir Simulation. 2nd ed. Gulf Professional Publishing, 2001.

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26

Shale Gas and Tight Oil Reservoir Simulation. Elsevier, 2018. http://dx.doi.org/10.1016/c2017-0-00263-x.

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27

Lie, Knut-Andreas. Introduction to Reservoir Simulation Using MATLAB/GNU Octave: User Guide for the MATLAB Reservoir Simulation Toolbox. Cambridge University Press, 2019.

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28

Practical Reservoir Simulation: Using, Assessing, and Developing Results. Pennwell Books, 2003.

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29

Numerical simulation II (1986). Richardson, TX: Society of Petroleum Engineers, 1986.

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30

Geological and petrophysical characterization of the Ferron Sandstone for 3-D simulation of a fluvial-deltaic reservoir. [Salt Lake City, Utah]: Utah Geological Survey, 2002.

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31

Michael, Grammer G., Harris Paul M. 1949-, Eberli Gregor Paul 1956-, and American Association of Petroleum Geologists., eds. Integration of outcrop and modern analogs in reservoir modeling. Tulsa, Okla: American Association of Petroleum Geologists, 2004.

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32

1959-, Nikravesh Masoud, Aminzadeh Fred, and Zadeh Lotfi Asker, eds. Soft computing and intelligent data analysis in oil exploration. Amsterdam: Elsevier, 2003.

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