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地震横波建模技术及其在深水天然气田储层预测中的应用

敖威 张卫卫 汪旭东 杨学奇 李志晔

石油地球物理勘探2024,Vol.59Issue(4):848-855,8.
石油地球物理勘探2024,Vol.59Issue(4):848-855,8.DOI:10.13810/j.cnki.issn.1000-7210.2024.04.022

地震横波建模技术及其在深水天然气田储层预测中的应用

Seismic S-wave modeling technology and its application in deep-water gas field reservoir prediction

敖威 1张卫卫 1汪旭东 1杨学奇 1李志晔1

作者信息

  • 1. 中海石油(中国)有限公司深圳分公司,广东深圳 518054
  • 折叠

摘要

Abstract

Due to the lack of shear wave(S-wave)data in deep-water area,the P-wave model is generally con-verted to the S-wave model through linear relationship or phase control in the modeling process of pre-stack in-version.However,those methods may bring uncertainty due to human influence,and pre-stack inversion re-sults cannot fully and reliably represent the formation characteristics and reservoir distribution.Therefore,com-bining with the production demand,this paper proposes to extract Poisson's ratio information in three-dimen-sional space based on wide angle seismic data as the conversion relationship between P-wave and S-wave data,and then obtain the low-frequency model of S-wave constrained by Poisson's ratio.The specific steps are as follows:Firstly,the study evaluates the incident angle which is sensitive to the lithology in the formation.Secondly,the study extracts Poisson's ratio elastic impedance(PEI)with post-stack inversion based on far-angle seismic.Thirdly,the study converts the P-wave model into the S-wave model with the PEI.The explora-tion practice in the Baiyun deep-water area shows that pre-stack inversion results can clearly reflect the geologi-cal and lithologic information,and the plane distribution of No.2 sand body is consistent with the gas/water boundary and the real drilling results,which confirms the reservoir distribution,expands the proved natural gas reserves,and achieves good economic benefits.

关键词

叠前反演/纵波模型/横波模型/泊松比弹性阻抗/白云深水区

Key words

pre-stack inversion/P-wave model/S-wave model/Poisson's ratio elastic impedance/Baiyun deep-water area

分类

天文与地球科学

引用本文复制引用

敖威,张卫卫,汪旭东,杨学奇,李志晔..地震横波建模技术及其在深水天然气田储层预测中的应用[J].石油地球物理勘探,2024,59(4):848-855,8.

石油地球物理勘探

OA北大核心CSTPCD

1000-7210

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