Integrated History Matching Method for Horizontal Wells Using Advanced Pressure Transient Analysis

Author:

Ma Ruicheng1,Wang Shu1,Zhao Yixuan1,Li Yong1,Hu Dandan1,Zhao Zeqi1,Hao Siying1,Chen Yihang1

Affiliation:

1. Research Institute of Petroleum Exploration & Development, Petrochina

Abstract

Abstract Horizontal wells have been applied in Middle East universally. However, with complex geological conditions including thief zone, aquifer and heavy oil, there are diverse production/injection performances for horizontal wells. Therefore, history matching is a tough job for reservoirs with horizontal wells. Pressure transient analysis (PTA) data is abundant and relatively economically obtained. With PTA technique, reservoir properties, streamline distribution and effective horizontal interval can be obtained easily. Therefore, history matching results could be identical with actual reservoir performance. This paper proposes an optimized history matching method for horizontal wells assisted by advanced pressure transient analysis. Considering heterogeneity of layer-cake reservoir, a newly corrected method of log-log plot of PTA analysis is built to make a better interpretation under the effect of high permeability zone (HPZ). Then pressure transient analysis results will be validated with production/injection performance and other surveillance data such as resistivity logging. Finally, based on interpreted results, history matching is conducted. The advanced PTA model yields favorable interpreted results in accordance with production/injection performance and other surveillance data. Integrated history matching yields better results compared with typical workflow and modification of dynamic model. For several tough problems such as layer-cake reservoir with bottom aquifer, profile tuning is better than modification of grid property around wellbore.

Publisher

SPE

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