Prestack three-parameter simultaneous inversion under well-control AVO

IF 4.2 2区 地球科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Ji-an Wu , Fanchang Zhang , Nanying Lan , Xingyao Yin
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引用次数: 0

Abstract

Poisson's ratio is a crucial parameter for reservoir identification and the evaluation of hydrocarbon-bearing characteristics. However, due to various assumptions that are hard to satisfy, the AVO approximation formula containing Poisson's ratio is inaccurate and struggles to meet the demand for higher accuracy of inversion results. To address this issue, the inversion method based on well-control AVO is proposed. Firstly, the well-control AVO operator is obtained through well-seismic data itself, not directly using the theoretical forward operator. Then, to ensure the feasibility and stability of obtaining the well-control AVO operator, the simplified forward framework is proposed based on the physical significance indicated by prestack seismic data. Furthermore, a comprehensive well-control AVO operator can be extracted by all well data, thereby ensuring its universality. Finally, the objective function of prestack three-parameter simultaneous inversion is constructed by the well-control AVO operator, and parameter decorrelation is introduced to eliminate mutual interference between parameters. Additionally, to obtain inversion results efficiently, the regularization factors in the objective function are optimized by orthogonal experiment. Numerical test results show that the well-control AVO can obtain more accurate forward record. Moreover, inversion using the method in this paper can yield more accurate Poisson's ratio and enable better identification of hydrocarbon-bearing reservoirs.
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来源期刊
Computers & Geosciences
Computers & Geosciences 地学-地球科学综合
CiteScore
9.30
自引率
6.80%
发文量
164
审稿时长
3.4 months
期刊介绍: Computers & Geosciences publishes high impact, original research at the interface between Computer Sciences and Geosciences. Publications should apply modern computer science paradigms, whether computational or informatics-based, to address problems in the geosciences.
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