A rock physics model-based approach to delineate deep and tight sand reservoir heterogeneity in the Bohai Bay Basin, China

Delineating sweet spots is critical for the exploration and production of oil and gas in deep and tight sand reservoirs. The lack of advanced and reliable methods makes this a challenge for geologists and geophysicists. This study introduces, for the first time, an integrated workflow that combines pre-stack seismic inversion with rock physics modeling to predict reservoir porosity and shale volume (V-shale) for sweet spot identification in tight sand reservoirs. A new elastic parameter, the density calculation index (DCI), is introduced which links acoustic and shear impedance for seismic density inversion, thereby addressing the long-standing problem of poor density inversion accuracy. A novel combined Sun–Walsh rock physics model, developed as part of this study, significantly improves V-shale evaluation from seismic data. The proposed three-step seismic inversion approach includes: (1) deriving acoustic and shear impedance from angle-stack seismic data using model-based inversion; (2) calculating density using shear impedance constrained by DCI, followed by porosity estimation from the density–porosity relation; and (3) evaluating V-shale using the α-parameter derived from the Sun–Walsh model and pre-stack inversion results. This integrated workflow provides an effective tool for building accurate 3D reservoir models, and is especially applicable to deep, low-porosity, tight sand reservoirs worldwide. • A new elastic parameter for seismic density inversion. • The Sun-Walsh model derived to improve the accuracy of V-shale seismic estimation. • Potential applicatoion to deep, low-porosity, tight sand reservoirs worldwide.

Authors

Institutions

Publication Details

Journal
Energy Geoscience
Published
2025-10-30
DOI
https://doi.org/10.1016/j.engeos.2025.100477
Citations
2
Primary Topic
Seismic Imaging and Inversion Techniques
Type
article
Field-Weighted Citation Impact
3.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A rock physics model-based approach to delineate deep and tight sand reservoir heterogeneity in the Bohai Bay Basin, China

Qifeng Dou, Feng Dong, Xiaojun Dou, Yuhui Zhao et al.
2 citations
Energy Geoscience
Seismic Imaging and Inversion Techniques
3.73
article

A rock physics model-based approach to delineate deep and tight sand reservoir heterogeneity in the Bohai Bay Basin, China

Qifeng Dou, Feng Dong, Xiaojun Dou, Yuhui Zhao, Donghong Zhou, Yihao Deng, Xiaodong Wei, Jiaqi Jiang
article en
2 citations

Abstract

Delineating sweet spots is critical for the exploration and production of oil and gas in deep and tight sand reservoirs. The lack of advanced and reliable methods makes this a challenge for geologists and geophysicists. This study introduces, for the first time, an integrated workflow that combines pre-stack seismic inversion with rock physics modeling to predict reservoir porosity and shale volume (V-shale) for sweet spot identification in tight sand reservoirs. A new elastic parameter, the density calculation index (DCI), is introduced which links acoustic and shear impedance for seismic density inversion, thereby addressing the long-standing problem of poor density inversion accuracy. A novel combined Sun–Walsh rock physics model, developed as part of this study, significantly improves V-shale evaluation from seismic data. The proposed three-step seismic inversion approach includes: (1) deriving acoustic and shear impedance from angle-stack seismic data using model-based inversion; (2) calculating density using shear impedance constrained by DCI, followed by porosity estimation from the density–porosity relation; and (3) evaluating V-shale using the α-parameter derived from the Sun–Walsh model and pre-stack inversion results. This integrated workflow provides an effective tool for building accurate 3D reservoir models, and is especially applicable to deep, low-porosity, tight sand reservoirs worldwide. • A new elastic parameter for seismic density inversion. • The Sun-Walsh model derived to improve the accuracy of V-shale seismic estimation. • Potential applicatoion to deep, low-porosity, tight sand reservoirs worldwide.

Energy GeoscienceVol. 7(1)
Yangtze University (CN), China University of Petroleum, Beijing (CN), Petroleum Technology Company (Norway) (NO), China National Petroleum Corporation (China) (CN)
Openalex Percentile: Top 6%
Seismic Imaging and Inversion Techniques
3.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.