首页|Systematic prediction of the gas content,fractures,and brittleness in fractured shale reservoirs with TTI medium

Systematic prediction of the gas content,fractures,and brittleness in fractured shale reservoirs with TTI medium

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The main objective is to optimize the development of shale gas-rich areas by predicting seismic sweet spot parameters in shale reservoirs.We systematically assessed the fracture development,fracture gas content,and rock brittleness in fractured gas-bearing shale reservoirs.To better characterize gas-bearing shale reservoirs with tilted fractures,we optimized the petrophysical modeling based on the equivalent medium theory.Based on the advantages of shale petrophysical modeling,we not only considered the brittle mineral fraction but also the combined effect of shale porosity,gas saturation,and total organic carbon(TOC)when optimizing the brittleness index.Due to fractures generally functioning as essential channels for fluid storage and movement,fracture density and fracture fluid identification factors are critical geophysical parameters for fractured reservoir prediction.We defined a new fracture gas indi-cation factor(GFI)to detect fracture-effective gas content.A new linear PP-wave reflection coefficient equation for a tilted transversely isotropic(TTI)medium was rederived,realizing the direct prediction of anisotropic fracture parameters and the isotropic elasticity parameters from offset vector tile(OVT)-domain seismic data.Synthetic seismic data experiments demonstrated that the inversion algorithm based on the LP quasinorm sparsity constraint and the split-component inversion strategy exhibits high stability and noise resistance.Finally,we applied our new prediction method to evaluate fractured gas-bearing shale reservoirs in the Sichuan Basin of China,demonstrating its effectiveness.

Petrophysical modelingBrittleness indexFracture gas indication factor(GFI)Tilted transversely isotropic(TTI)Fracture density

Yun Zhao、Xiao-Tao Wen、Chen-Long Li、Yang Liu、Chun-Lan Xie

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Key Laboratory of Earth Exploration and Information Techniques,Ministry of Education,Chengdu University of Technology,Chengdu,610059,Sichuan,China

College of Geophysics,Chengdu University of Technology,Chengdu,610059,Sichuan,China

College of Geophysics,Chengdu University of Technology,Chengdu 610059,Sichuan,China

2024

10.1016/j.petsci.2024.04.015

石油科学(英文版)
中国石油大学（北京）

石油科学(英文版)

EI
影响因子：0.88
ISSN：1672-5107
年,卷(期)：2024.21(5)