Physical parameter modeling of carbonate dissolution-vug reservoirs based on porosity inversion with optimization algorithm

Author:

Zhao Bin1,Gao Chuqiao1,Hou Jiagen2,Li Zhaoping3,Gao Gang3,Zhang Hairong4

Affiliation:

1. Yangtze University, Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Wuhan Hubei, China and Yangtze University, College of Geophysics and Oil Resources, Wuhan Hubei, China.(corresponding author); ..

2. China University of Petroleum, College of Geosciences, Beijing, China..

3. Yangtze University, College of Geophysics and Oil Resources, Wuhan, Hubei, China..

4. Zhanjiang Branch of CNOOC Limited, Zhanjiang, Guangdong, China..

Abstract

Building a 3D porosity model for the carbonate reservoir is crucial for the planning of hydrocarbon development. However, properly estimating the porosity of carbonate reservoir using wireline logs is still a challenge task due to the complexity of vugs. We treat the porosity estimate of carbonate as an optimization problem and propose to estimate the porosity of carbonate reservoir by integrating several kinds of petrophysics data. We begin with establishing a series of linear equations between the porosity and wireline logs. The objective is computing a porosity value that simultaneously minimizes the defined linear equations. The multi-functions minimization can successfully improve the robust of the proposed method to noise and the “small” wireline log values due to the complex dissolution vug reservoirs. We build 3D porosity model by applying the cooperative kriging stochastic simulation algorithm to the porosity estimated at well bore location and inverted P-impedance from seismic data. We demonstrate the proposed workflow by applying it to the Ordovician carbonate dissolution-vug reservoir in the L area of Tahe oilfield. The statistical analysis shows that the built 3D model has a high correlation with the dynamic production data of the reservoir.

Publisher

Society of Exploration Geophysicists

Subject

Geology,Geophysics

Reference1 articles.

Cited by 2 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