Integrate inter–well connectivity data with static reservoir models based on Bayesian formalism

Q1 Earth and Planetary Sciences Petroleum Research Pub Date : 2023-09-01 DOI:10.1016/j.ptlrs.2023.01.003
Yupeng Li , Rashid S. Mohammad
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引用次数: 1

Abstract

The inter-well connectivity calculated from reservoir dynamic production data reflects formation heterogeneity quantitatively. Currently, the calculated inter-well connectivity between pair wells is mainly used as a tool for water flood management but not for quantitative reservoir characterization. This study proposes an innovative, dynamic data integration workflow that can integrate inter-well connectivity with a static reservoir model. In the workflow, the first step is calculating the inter-well connectivity vectors from the reservoir pairwise injector and producer wells. The second step covers interpolation in the domain of interest. The third step is to update the permeability model based on the Bayesian updating method. The result of this study shows that integrating the calculated inter-well connectivity with the static models enhances model reliability and it also provides an insight to deeper geological understanding reflected from dynamic data integration in reservoir modeling.

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基于贝叶斯形式的井间连通性数据与静态储层模型的集成
根据储层动态生产数据计算的井间连通性定量地反映了地层的非均质性。目前,计算的成对井之间的井间连通性主要用作洪水管理的工具,但不用于定量储层表征。本研究提出了一种创新的动态数据集成工作流程,可以将井间连通性与静态储层模型相集成。在工作流程中,第一步是计算储层成对注入井和生产井的井间连通性矢量。第二步涉及感兴趣领域中的插值。第三步是基于贝叶斯更新方法对渗透率模型进行更新。本研究的结果表明,将计算的井间连通性与静态模型相结合提高了模型的可靠性,也为储层建模中动态数据集成所反映的更深入的地质理解提供了见解。
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来源期刊
Petroleum Research
Petroleum Research Earth and Planetary Sciences-Geology
CiteScore
7.10
自引率
0.00%
发文量
90
审稿时长
35 weeks
期刊最新文献
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