Pore pressure prediction using S-wave velocity based on rock physics modeling

IF 1.1 4区 地球科学 Q3 GEOCHEMISTRY & GEOPHYSICS Interpretation-A Journal of Subsurface Characterization Pub Date : 2023-06-20 DOI:10.1190/int-2022-0088.1
Shuailong Cheng, Z. Zong, Yu Chen, Yaming Yang
{"title":"Pore pressure prediction using S-wave velocity based on rock physics modeling","authors":"Shuailong Cheng, Z. Zong, Yu Chen, Yaming Yang","doi":"10.1190/int-2022-0088.1","DOIUrl":null,"url":null,"abstract":"Pore pressure plays a critical role in improving drilling safety and exploring hydrocarbons. It is well known that the prediction of pore pressure is mainly based on P-wave velocity or acoustic transit time. However, due to the influence of various factors on P-wave velocity, it may not be sensitive enough to the perturbations of effective stress, which results in inaccurate pore pressure prediction results. To solve this issue, we perform a specialized analysis of rock physics data and find that S-wave velocity is more sensitive to the perturbations in effective stress than P-wave velocity. Therefore, in this study, we propose a new pore pressure prediction method based on shear waves to predict pore pressure more accurately. In order to obtain the normal compaction trend (NCT) required by the proposed method, an anisotropic rock physics model of mudstone is first constructed, and normal compaction porosity is added to the rock physics model. The difference between the obtained NCT and the measured S-wave velocity is then utilized for predicting pore pressure through the proposed method. In practical data application, the pore pressure predicted by the proposed method is highly consistent with the measured pore pressure points, which proves the advantages of S-wave velocity in predicting pore pressure.","PeriodicalId":51318,"journal":{"name":"Interpretation-A Journal of Subsurface Characterization","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2023-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Interpretation-A Journal of Subsurface Characterization","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1190/int-2022-0088.1","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
引用次数: 0

Abstract

Pore pressure plays a critical role in improving drilling safety and exploring hydrocarbons. It is well known that the prediction of pore pressure is mainly based on P-wave velocity or acoustic transit time. However, due to the influence of various factors on P-wave velocity, it may not be sensitive enough to the perturbations of effective stress, which results in inaccurate pore pressure prediction results. To solve this issue, we perform a specialized analysis of rock physics data and find that S-wave velocity is more sensitive to the perturbations in effective stress than P-wave velocity. Therefore, in this study, we propose a new pore pressure prediction method based on shear waves to predict pore pressure more accurately. In order to obtain the normal compaction trend (NCT) required by the proposed method, an anisotropic rock physics model of mudstone is first constructed, and normal compaction porosity is added to the rock physics model. The difference between the obtained NCT and the measured S-wave velocity is then utilized for predicting pore pressure through the proposed method. In practical data application, the pore pressure predicted by the proposed method is highly consistent with the measured pore pressure points, which proves the advantages of S-wave velocity in predicting pore pressure.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于岩石物理模型的S波速度预测孔隙压力
孔隙压力对提高钻井安全性和油气勘探具有至关重要的作用。众所周知,孔隙压力的预测主要基于纵波速度或声波传递时间。但由于各种因素对纵波速度的影响,可能对有效应力的扰动不够敏感,导致孔隙压力预测结果不准确。为了解决这个问题,我们对岩石物理数据进行了专门分析,发现横波速度比纵波速度对有效应力的扰动更敏感。因此,在本研究中,我们提出了一种新的基于剪切波的孔隙压力预测方法,以更准确地预测孔隙压力。为了获得该方法所需的正压实趋势(NCT),首先建立了泥岩的各向异性岩石物理模型,并将正压实孔隙度加入到岩石物理模型中。然后利用所获得的NCT与测量的横波速度之间的差值,通过该方法预测孔隙压力。在实际数据应用中,该方法预测的孔隙压力与实测孔隙压力点高度吻合,证明了横波速度预测孔隙压力的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
2.50
自引率
8.30%
发文量
126
期刊介绍: ***Jointly published by the American Association of Petroleum Geologists (AAPG) and the Society of Exploration Geophysicists (SEG)*** Interpretation is a new, peer-reviewed journal for advancing the practice of subsurface interpretation.
期刊最新文献
Seismic resolution enhancement with variational modal based fast matching pursuit decomposition The Lower Silurian Longmaxi rapid-transgressive black shale and organic matter distribution on the Upper Yangtze Platform, China Machine Learning Application to Assess Occurrence and Saturations of Methane Hydrate in Marine Deposits Offshore India Mary Magdalene: A Visual History Women in John’s Gospel
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1