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一种基于全局敏感性分析的气井产能测试制度优化设计方法

于伟强 赵洪绪 赵洪涛 房鑫磊 杨毅

西安石油大学学报(自然科学版)2024,Vol.39Issue(2):79-86,8.
西安石油大学学报(自然科学版)2024,Vol.39Issue(2):79-86,8.DOI:10.3969/j.issn.1673-064X.2024.02.010

一种基于全局敏感性分析的气井产能测试制度优化设计方法

An Optimization Design Method for Gas Well Productivity Testing System Based on Global Sensitivity Analysis

于伟强 1赵洪绪 1赵洪涛 1房鑫磊 1杨毅1

作者信息

  • 1. 中法渤海地质服务有限公司,天津 300457
  • 折叠

摘要

Abstract

When designing productivity testing plan for a gas well using global sensitivity analysis,first,select all uncertain reservoir pa-rameters as sensitive parameters and set their possible value ranges;achieve random values and combinations of various sensitive param-eters using Sobol sequence,and generate dynamic sample curves of bottomhole inflow under all value combinations.Then,based on the correspondence between production and sensitive parameters at each flow pressure position in the sample curve,calculate the total im-pact index of all sensitive parameters on productivity using global sensitivity analysis method.Finally,obtain the weight and trend of the impact of each parameter on productivity under different flow pressures The calculation results show that the influences of formation pressure pr,non-Darcy flow coefficient D and testing start time t on the productivity of a gas well are significant within a speific flow pressure range.The global sensitivity analysis of the inflow dynamics of a gas wells in the target area can quantitatively determine the impact of a certain parameter on productivity under different working systems,and guide the design and optimization of gas well produc-tivity testing systems.

关键词

气井产能/测试制度优化/井底流入动态/井底流压/全局敏感性分析/Sobol序列

Key words

gas well productivity/testing scheme optimization/bottom-hole inflow performance/bottom-hole flowing pressure/global sensitivity analysis/Sobol sequence

分类

能源科技

引用本文复制引用

于伟强,赵洪绪,赵洪涛,房鑫磊,杨毅..一种基于全局敏感性分析的气井产能测试制度优化设计方法[J].西安石油大学学报(自然科学版),2024,39(2):79-86,8.

西安石油大学学报(自然科学版)

OA北大核心CSTPCD

1673-064X

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