Experimental Evaluation of the Petrophysical Algorithm in an Integrated Flow Model

Almudhhi, Salah; Fanchi, John R.

doi:10.1080/10916460802455376

Cited by 2 publications

(2 citation statements)

References 15 publications

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“…Some published examples are available in Fanchi and Batzle (2000), Fanchi (2003), and Almodhi (2003). Some published examples are available in Fanchi and Batzle (2000), Fanchi (2003), and Almodhi (2003).…”

Section: Validationmentioning

confidence: 99%

Embedding a Petroelastic Model in a Multipurpose Flow Simulator To Enhance the Value of 4D Seismic

Fanchi

2010

SPE Reservoir Evaluation &Amp; Engineering

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Time-lapse (4D) seismic can be effectively integrated into the reservoir-management process by embedding the calculation of seismic attributes in a flow simulator. This paper describes a petroelastic model (PEM) embedded in a multipurpose flow simulator. The flow simulator may be used to model gas, black-oil, compositional, and thermal systems. The PEM can calculate reservoir geophysical attributes such as compressional-wave (P-wave) and shear-wave (S-wave) velocities and impedances, dynamic and static Young's moduli, and dynamic and static Poisson's ratios. Examples illustrate how to use the PEM to facilitate the integration of 4D seismic and reservoir flow modeling. John R. Fanchi, SPE, is professor of petroleum engineering in the Department of Engineering and Energy Institute at Texas Christian U., Fort Worth, Texas, USA. He teaches courses in energy and engineering. Previously, Fanchi taught petroleum and energy engineering courses at the Colorado School of Mines, and worked in the technology centers of four energy companies, most recently at Chevron. He co-edited the General Engineering volume of the SPE Petroleum Engineering Handbook, and is the author of several books, including Energy in the 21st Century (World Scientific; 2005), Energy: Technology and Directions for the Future (Elsevier-

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Section: Validationmentioning

confidence: 99%

Embedding a Petroelastic Model in a Multipurpose Flow Simulator To Enhance the Value of 4D Seismic

Fanchi

2010

SPE Reservoir Evaluation &Amp; Engineering

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“…We begin by introducing the PEM, and then present correlation coefficients for bulk modulus and shear modulus in different rock types. Flow model applications of the PEM discussed here are presented in Fanchi [5][6][7] and Almudh'hi and Fanchi [8].…”

Section: Introductionmentioning

confidence: 99%

Catalog of Coefficients for Estimating Bulk and Shear Moduli as a Function of Lithology

Fanchi¹

2021

J. Basic Appl. Sci.

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The purpose of this paper is to present correlation coefficients for a variety of rock types that can be used in a suitable petroelastic model (PEM). The correlation coefficients for different rock types facilitate the application of a petroelastic model in reservoir flow models. By combining the correlation coefficients and the PEM, it is possible to obtain low-cost estimates of reservoir geophysical attributes. The rock types include dolomite, limestone, high porosity sandstone, poorly consolidated sandstone, tight gas sandstone, and well consolidated Gulf Coast sandstone.

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Experimental Evaluation of the Petrophysical Algorithm in an Integrated Flow Model

Cited by 2 publications

References 15 publications

Embedding a Petroelastic Model in a Multipurpose Flow Simulator To Enhance the Value of 4D Seismic

Embedding a Petroelastic Model in a Multipurpose Flow Simulator To Enhance the Value of 4D Seismic

Catalog of Coefficients for Estimating Bulk and Shear Moduli as a Function of Lithology

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