基于示踪剂监测的水平井高泥质含量段压裂可行性分析
Feasibility analysis of fracturing in high shale content intervals in horizontal wells based on tracer monitoring
齐丹 1高秀丽 1李国良 1刘庆 1林倩1
作者信息
- 1. 中国石油集团渤海钻探工程有限公司油气合作开发分公司 天津 300450
- 折叠
摘要
针对研究区块储层非均质性强,水平段泥岩钻遇率高,影响水平井产能发挥的问题,开展示踪剂产能监测试验研究.选取YQ8 井三段泥质含量较高压裂段作为试验段,两段砂岩储层段作为对比段,随压裂液加入气相、液相示踪剂,在地面取样分析,获取各压裂段产气、产水相关信息,获得泥质含量较高水平段压后产气贡献率分别为 36.6%、39.8%、0.1%,表明水平段泥质含量较高时,压后仍具有产能贡献,甚至高于部分测井响应特征较好分段,需要加深对泥质含量较高分段的厚度、应力差等因素研究,优化压裂施工参数.研究证明水平井高泥质含量段的压裂可行性,以及示踪剂监测技术评价水平井分段压裂效果的可行性.
Abstract
In addressing the strong heterogeneity of reservoirs and the high mudstone encounter rate in horizontal sections,which impact the productivity of horizontal wells,a tracer-based productivity monitoring tests was conducted.In Well YQ8,three intervals with high shale content were selected as fracturing intervals,and two sandstone intervals were selected as comparison intervals.Gas-phase and liquid-phase tracers were added to the fracturing fluid,and surface sampling analysis was performed to provide information on gas and water production for each fractured interval.The results show that the gas production contribution rates after fracturing in the horizontal intervals with higher shale content are 36.6%,39.8%,and 0.1% respectively,indicating that even intervals with high shale content can contribute to gas production,sometimes exceeding intervals with better logging response characteristics.It suggests a need for deeper investigation into factors like thickness and stress differences in high shale content intervals to optimize fracturing parameters.The study demonstrates the feasibility of fracturing in high shale content intervals in horizontal wells and the effectiveness of tracer monitoring technology in evaluating the effect of staged fracturing in horizontal wells.
关键词
示踪剂监测/水平井/压裂可行性/高泥质含量/砂泥岩互层/产能分析/致密气Key words
tracer monitoring/horizontal well/fracturing feasibility/high shale content/interbedded sandstone and mudstone/productivity analysis/tight gas引用本文复制引用
基金项目
渤海钻探工程公司指导性项目(2022)(2022D34Y-01)
出版年
2024
NETL
NSTL
万方数据