Identification of shallow-water-flow sands by Vp/Vs inversion of conventional 3D seismic data

Author:

Lu Shaoming12,McMechan George A.12,Liaw Alfred12

Affiliation:

1. University of Texas at Dallas, Center for Lithospheric Studies, P.O. Box 830688, Richardson, Texas 75083-0688..

2. Kerr-McGee Oil & Gas Corporation, 16666 Northchase, Houston, Texas 77060..

Abstract

Shallow-water flow (SWF) from overpressured, unconsolidated/uncemented sands is a high-profile hazard in deep-water drilling. Thus, accurate predrill seismic prediction of SWF sands is an important practical problem. Laboratory measurements show high seismic compressional-to-shear velocity ([Formula: see text]) ratios in SWF sands. Thus, [Formula: see text] anomalies produced by elastic seismic inversion can provide a quantitative identification of SWF sands before drilling. Three 3D common-angle-aperture prestack time-migrated data sets from the Garden Banks area of the Gulf of Mexico are inverted simultaneously for [Formula: see text]. Two wells provide constraints. High [Formula: see text] values are observed in a known SWF zone in Shell Deepwater Development's well GB920 #1. In Kerr-McGee Oil & Gas Corporation's well GB877 #1, [Formula: see text] anomalies match well with independent predrill SWF sand predictions based on geologic information and seismic amplitudes. High [Formula: see text] anomalies (>9) are used to identify potential SWF sands away from the wells. We conclude that [Formula: see text] values are more diagnostic than seismic amplitudes alone for SWF sand detection, and that low S-impedance is the most salient indicator of SWF potential. Raw elastic seismic-amplitude variation with angle data provide unreliable indicators in cases where SWF sands are thin (where interference occurs between reflections from the layer tops and bottoms) or if viscoelasticity is significant.

Publisher

Society of Exploration Geophysicists

Subject

Geochemistry and Petrology,Geophysics

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3