Xinjiang Oil & Gas ›› 2024, Vol. 21 ›› Issue (2): 1-.DOI: 10.12388/j.issn.1673-2677.2024.02.001

• OIL AND GAS EXPLORATION • Previous Articles     Next Articles

The In-Situ Stress Interpretation in Heterogeneous Glutenite Reservoirs and Fracturing Design Optimization

  

  1. 1. National Key Laboratory of Petroleum Resources and Engineering,China University of Petroleum (Beijing),Changping 102249,Beijing,China;
    2. College of Artificial Intelligence,China University of Petroleum (Beijing),Changping 102249,Beijing,China;
    3. Research Institute of Engineering Technology,PetroChina Xinjiang Oilfield Company,Karamay 834000,Xinjiang,China
  • Online:2024-06-06 Published:2024-06-06
  • Supported by:


非均质砂砾岩储层地应力解释及压裂设计优化

  

  1. 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;
    2.中国石油大学(北京) 人工智能学院,北京昌平 102249;
    3.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
  • 作者简介:盛茂(1985-),2014年毕业于中国石油大学(北京)油气井工程专业,教授,博导,目前从事非常规油气压裂完井理论与应用研究和教学工作。(Tel)010-89739312(E-mail)shengmao@cup.edu.cn
  • 基金资助:

    新疆维吾尔自治区自然科学基金“水平井段内多簇压裂炮眼冲蚀规律实验与模型研究”(2022D01B80)

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 between 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 unsupervised 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 inter-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 clustering 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.

Key words:

horizontal well, fracturing, in-situ stress, machine learning, stage/cluster optimization

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。


关键词:

水平井, 压裂, 地应力, 机器学习, 段簇优化

CLC Number: