非均质砂砾岩储层地应力解释及压裂设计优化
The In-Situ Stress Interpretation in Heterogeneous Glutenite Reservoirs and Fracturing Design Optimization
盛茂 1蒋富民 2胡诗梦 1吕振虎 3孔明炜 4司丽娟1
作者信息
- 1. 中国石油大学(北京)油气资源与工程全国重点实验室,北京昌平 102249;中国石油大学(北京)人工智能学院,北京昌平 102249
- 2. 中国石油大学(北京)油气资源与工程全国重点实验室,北京昌平 102249
- 3. 中国石油大学(北京)油气资源与工程全国重点实验室,北京昌平 102249;中国石油新疆油田分公司工程技术研究院,新疆克拉玛依 834000
- 4. 中国石油新疆油田分公司工程技术研究院,新疆克拉玛依 834000
- 折叠
摘要
玛南砂砾岩储层地应力分布非均质性强,亟需建立适合非均质砂砾岩储层的地应力解释模型,用于指导压裂段簇设计.通过开展井下岩心岩石力学和地应力测试实验,获得了砂砾岩动静态力学参数转换关系,建立了玛南砂砾岩组合弹簧地应力模型,优选了关键参数取值.基于地应力计算数据,建立了水平井段水平地应力差无监督聚类模型,获得了分米级空间分辨率的水平地应力差分布和聚类类别;综合考虑缝间应力干扰、套管接箍位置、桥塞位置和地应力聚类结果,优选段内水平地应力差均值10%范围内布置射孔簇,形成了砂砾岩储层水平井布缝优化方法并编制了计算机算法.研究结果表明,组合弹簧模型地应力计算误差0.7%～1.5%;储层纵向地应力标准差0.45,存在显著的非均匀分布特征.针对玛南区块一口典型砂砾岩储层水平井进行地应力解释与无监督聚类压裂段簇优化,地应力聚类12类,优选压裂段数17,段内射孔簇选择在水平地应力差相近井段,有望提高压裂改造均衡性和有效性.
Abstract
The in-situ stress distribution of Manan glutenite reservoir is highly heterogeneous,and it is urgent to establish an in-situ stress interpretation model suitable for the heterogeneous glutenite reservoir to guide the design of fracturing stages and clusters.In this paper,by conducting rock mechanics and in-situ stress experiments using downhole cores,we obtained the conversion relationship be-tween dynamic and static mechanical parameters of the glutenite reservoir,established the combined spring in-situ stress model for Manan glutenite reservoir and determined the optimal values of key parameters.Based on the in-situ stress calculation results,an un-supervised clustering model of the horizontal principal stress difference was built for the horizontal wellbore,and the decimeter-scale horizontal principal stress difference distribution and clustering categories were obtained.With comprehensive consideration of the in-ter-fracture stress interference,casing collar position,bridge plug position and in-situ stress clustering results,perforation clusters in a stage were arranged where the horizontal principal stress difference is within the stage average±10%.An optimization method for horizontal well fracture placement in glutenite reservoirs was developed and a computer algorithm was coded.The results show that the in-situ stress calculation error of the combined spring model is 0.7%-1.5%;the standard deviation of the vertical stress of the reservoir is 0.45,with significant heterogeneous distribution characteristics.In-situ stress interpretation and unsupervised clus-tering fracturing stage/cluster optimization were carried out for a typical glutenite reservoir horizontal well in Manan block.There are 12 categories identified by in-situ stress clustering,and the optimal number of fracturing stages is 17.The perforation clusters within a stage are placed in positions with similar horizontal principal stress differences,which is expected to improve the conformity and effectiveness of fracturing stimulation.
关键词
水平井/压裂/地应力/机器学习/段簇优化Key words
horizontal well/fracturing/in-situ stress/machine learning/stage/cluster optimization引用本文复制引用
基金项目
新疆维吾尔自治区自然科学基金(2022D01B80)
出版年
2024
NETL
NSTL
万方数据