Fluid identification based on geophysical well logs in ultralow-porosity tight sandstone reservoirs

Author:

Xiao Chengwen1,Tan Maojin2ORCID,Han Chuang3,Li Bo4ORCID,Luo Weiping3,Wang Andong4,Wang Qian4ORCID,Xin Yi3

Affiliation:

1. Technology Research Institute of China National Logging Corporation Ltd., Beijing, China.

2. China University of Geosciences, School of Geophysics and Information Technology, Beijing, China. (corresponding author)

3. Tarim Petroleum Exploration and Development Research Institute, China Petroleum, Xinjiang, China.

4. China University of Geosciences, School of Geophysics and Information Technology, Beijing, China.

Abstract

Deep tight sandstone reservoirs typically exhibit ultralow porosity and permeability owing to their small pore size, narrow pore throats, and poor pore connectivity. In heterogeneous tight formations, well-log interpretation is uncertain, and it is difficult to identify fluid types using the classic picket-plot (resistivity versus porosity crossplot) method. To better identify and characterize gas-bearing zones in heterogeneous tight sandstone reservoirs, effective sensitivity factors for fluids need to be constructed. From the conventional logging principle, the acoustic neutron porosity difference, density-neutron porosity difference, and triple-porosity ratio are all sensitive parameters for gas-bearing layers. In addition, the density and nuclear magnetic resonance (NMR) porosity difference and [Formula: see text] geometric mean of the movable fluid are sensitive to gas saturation. Based on these parameters, a series of fluid typing crossplots was constructed, and their effectiveness was compared. In contrast, the interpretation results from NMR logging are better, and the dual-porosity difference and triple-porosity ratio methods from conventional logs also are effective when NMR logging is not available. In practice, these methods are used to provide their results, and then they are combined using a voting strategy according to the performance of each crossplot. In two case studies of the Kuqa Depression of the Tarim Foreland Basin, China, the new fluid typing method proved effective, and it provides an alternative method for fluid identification using nonelectrical logs (when electrical logs are not available or applicable).

Funder

National Major Projects

National Natural Science Foundation of China

Publisher

Society of Exploration Geophysicists

Subject

Geology,Geophysics

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