Application of Structural Properties of Seismic Data to Prediction of Hydrocarbon Distribution

Author:

Wei Zhou1,Haimin Guo1,Lin Yaoting2

Affiliation:

1. Ministry of Education of Oil and Gas Resources, Exploration Technology Key Laboratory, School of Geophysics and Petroleum Resources, Yangtze University, Wuhan, China

2. University of Calgary, Calgary, Canada

Abstract

This article describes how under the influence of traps and trap ranges in size, final moisture content in oil production and changes in the reservoir is very large. Due to this, thin and dispersed oil concentration, facies changes and oil complexes, and strong segmentation, results in poor comparability between wells and conventional methods of seismic reservoir prediction has been more difficult to meet the development needs of the block. Therefore, the introduction of methods of seismic data structure characteristics, with a method based on sequence structure of underground rock formations, rock and petroleum allows the prediction for oil and gas purposes. Through the application of seismic structural properties, the result has been verified in practice and achieved a good application effect.

Publisher

IGI Global

Subject

Pharmacology (medical)

Reference19 articles.

1. Grey dynamic modeling and prediction control of macroeconomic systems.;M. Y.Chen;Proceedings of the IFAC Workshop on Modeling Decision and Game with Application to Social Phenomena,1986

2. The discussion of earthquake attribute technology s′ history, present situation and development tendency;H.Guo;Geophysical & Geochemical Exploration,2008

3. Using multivariate seismic attributions to predict reservoir information.;B.He;OGP,2003

4. Numerical structure of seismic data and hydrocarbon prediction.;C.Lin;Zhongguo Haishang You-Qi. Dizhi,2000

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