ARTICLE

Integration of 2D seismic and well log data for petrophysical modeling and gas reserve estimation in appraisal state of petroleum exploration

YOUSEF SHIRI1 ALI MORADZADEH1 REZA GHIAVAMI-RIABI1 ALI CHEHRAZI2
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1 School of Mining, Petroleum and Geophysics, Shahrood University of Technology, Shahrood, Iran.,
2 Geology Division, Iranian Offshore Oil Fields Company, 38 Tooraj St., Vali-Asr Ave., NIOC, Tehran, Iran.,
JSE 2012, 21(3), 231–246;
Submitted: 9 June 2025 | Revised: 9 June 2025 | Accepted: 9 June 2025 | Published: 9 June 2025
© 2025 by the Authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

Shiri, Y., Moradzadeh, A., Ghavani-Riabi, R. and Chehrazi, A., 2012. Integration of 2D seismic and well log data for petrophysical modeling and gas reserve estimation in appraisal state of petroleum exploration. Journal of Seismic Exploration, 21: 231-246. Three-dimensional (3D) petrophysical modeling is an essential step in quantitative description, static and dynamic evaluation of any hydrocarbon reservoir. This study addresses several important issues of integrating high and low resolution data in regional steps of petroleum exploration. The approach used in this study can constrain stratigraphy and geocellular model by integrating multiple kinds of geophysical data. The specific procedure implemented consists of a broad-band two-dimensional (2D) seismic inversion and stochastic petrophysical modeling. The final high resolution model, which can be used in both static and dynamic evaluation of the reservoir, is utilized for gas in-place estimation in the initial steps of hydrocarbon exploration in Iranian Farour-A oilfield. The results indicate that the application of this methodology on well logging and 2D seismic data provides a detailed description of the reservoir properties, and also leads to better reserve evaluation in comparison with the conventional techniques based on well logs and seismic data.

Keywords
2D seismic inversion
seismic attributes
well logs
petrophysical evaluation
modeling
stochastic sequential Gaussian simulation
gas in-situ reserve evaluation
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Journal of Seismic Exploration, Electronic ISSN: 0963-0651 Print ISSN: 0963-0651, Published by AccScience Publishing