Application of AVO to thickness prediction of thin sand

Author:

Guo Hong,Wang Jing,Liu Shien,Wang Jinshu

Abstract

Oil and gas are the resource buried in deep underground. The purpose of petroleum exploration is to delineate the sand body saturated with the oil or gas. The thickness of sand is an important property of sand layer in the reservoir research. In the oilfield of Eastern China, the thickness of sand body is usually very thin and below ten meters, so it is very hard for us to estimate the real thickness of sand body because its thickness is far less than the resolution limit of seismic wavelet in exploration. For further discussion of the problem, we probed into how to use the method of amplitude versus offset (AVO) to predict the thickness of sand body in this paper. Firstly, a set of thin sand models with different thickness are made; then, the prestack gathers of the models are simulated with the reflectivity method; after that, AVO attributes of prestack gathers are analyzed; next, the relationship between AVO attributes and the thickness of thin sand are established; finally, the relationship is used for the prestack gathers of the entire seismic data, and the thickness of thin sand of study area are estimated.

Publisher

IOS Press

Subject

Computational Mathematics,Computer Science Applications,General Engineering

Reference16 articles.

1. Al-Otaibi M. Thin-bed AVO. Ph.D Thesis, University of Houston, 2002.

2. Thin bed AVO: The Effect of NMO and NMO correction on reflectivity sequences;Castoro;SEG Expanded Abstracts.,1998

3. Amplitude variation with incident angle inversion for Q-factors in viscoelastic media: A case study;Li;Geophysics.,2019

4. Seismic AVO Inversion for Optimal Reservoir Modeling and Field Development, Offshore Abu Dhabi, UAE;Miyamoto;SEG Global Meeting Abstracts,2019

5. A frequency-decomposed nonstationary convolutional model for amplitude-versus-angle-and-frequency forward waveform modeling in attenuative media;Yang;Geophysics.,2020

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