Case Report

Econ. Environ. Geol. 2016; 49(3): 225-242

Published online June 30, 2016

https://doi.org/10.9719/EEG.2016.49.3.225

© THE KOREAN SOCIETY OF ECONOMIC AND ENVIRONMENTAL GEOLOGY

Rock Physics Modeling: Report and a Case Study

Gwang H. Lee*

Department of Energy Resources Engineering, Pukyong National University, Busan 608-737, Korea

Correspondence to : gwanglee@pknu.ac.kr

Received: February 25, 2016; Revised: May 5, 2016; Accepted: June 4, 2016

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided original work is properly cited.

Abstract

Rock physics serves as a useful tool for seismic reservoir characterization and monitoring by providing quantitative relationships between rock properties and seismic data. Rock physics models can predict effective moduli for reservoirs with different mineral components and pore fluids from well-log data. The distribution of reservoirs and fluids for the entire seismic volume can also be estimated from rock physics models. The first part of this report discusses the Voigt, Reuss, and Hashin-Shtrikman bounds for effective elastic moduli and the Gassmann fluid substitution. The second part reviews various contact models for moderate- to high-porosity sands. In the third part, constant-cement model, known to work well for the sand that gradually loses porosity with deteriorating sorting, was applied to the well-log data from an oil field in the North Sea. Lastly, the rock physics template constructed from the constant-cement model and the results from the prestack inversion of 2D seismic data were combined to predict the lithology and fluid types for the sand reservoir of this oil field.

Keywords rock physics modeling, seismic reservoir characterization, prestack inversion

암석 물리 모델링: 기술 보고 및 적용 사례

이 광 훈*

부경대학교 에너지자원공학과

요 약

Article

Case Report

Econ. Environ. Geol. 2016; 49(3): 225-242

Published online June 30, 2016 https://doi.org/10.9719/EEG.2016.49.3.225

Copyright © THE KOREAN SOCIETY OF ECONOMIC AND ENVIRONMENTAL GEOLOGY.

Rock Physics Modeling: Report and a Case Study

Gwang H. Lee*

Department of Energy Resources Engineering, Pukyong National University, Busan 608-737, Korea

Correspondence to:gwanglee@pknu.ac.kr

Received: February 25, 2016; Revised: May 5, 2016; Accepted: June 4, 2016

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided original work is properly cited.

Abstract

Rock physics serves as a useful tool for seismic reservoir characterization and monitoring by providing quantitative relationships between rock properties and seismic data. Rock physics models can predict effective moduli for reservoirs with different mineral components and pore fluids from well-log data. The distribution of reservoirs and fluids for the entire seismic volume can also be estimated from rock physics models. The first part of this report discusses the Voigt, Reuss, and Hashin-Shtrikman bounds for effective elastic moduli and the Gassmann fluid substitution. The second part reviews various contact models for moderate- to high-porosity sands. In the third part, constant-cement model, known to work well for the sand that gradually loses porosity with deteriorating sorting, was applied to the well-log data from an oil field in the North Sea. Lastly, the rock physics template constructed from the constant-cement model and the results from the prestack inversion of 2D seismic data were combined to predict the lithology and fluid types for the sand reservoir of this oil field.

Keywords rock physics modeling, seismic reservoir characterization, prestack inversion

암석 물리 모델링: 기술 보고 및 적용 사례

이 광 훈*

부경대학교 에너지자원공학과

Received: February 25, 2016; Revised: May 5, 2016; Accepted: June 4, 2016

요 약

    KSEEG
    Oct 29, 2024 Vol.57 No.5, pp. 473~664

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