钻井液与完井液2024，Vol.41Issue(3)：330-336,7.DOI:10.12358/j.issn.1001-5620.2024.03.007
深水钻井液可控因素对气藏损害归因分析形成的气井产能预测
Prediction of Gas Well Productivity Based on Attribution Analysis of Controllable Factors of HEM Water-Based Drilling Fluid to Gas Reservoir Damage
摘要
Abstract
As the depth of drilling increases,the prevention and control of reservoir damage caused by drilling fluids has become increasingly prominent,and reservoir protection has become a key factor in the full release of gas field production capacity.As the well depth deepens,the various properties of the deepwater drilling fluid change,causing the degree of reservoir damage to intensify and the direction of reservoir protection performance optimization becomes unclear.Therefore,this paper combines Pearson correlation analysis and grey relational analysis to perform attribution analysis of controllable factors of drilling fluids in reservoir damage,identify the main controlling factors,and establish a gas well productivity model.The results show that the solid particle size,surface tension,mineralization degree,and high-temperature and high-pressure fluid loss of drilling fluids are the main controlling factors causing reservoir damage.According to the attribution analysis results,an optimization method using a composite of different particle size distributions of calcium carbonate as a weighting agent is proposed,which increases the permeability recovery of drilling fluids by 12.1 to 19.68% .The applicability of the model is verified by collecting field parameters from wells Y8 and Y9,and the results show that the accuracy of the model established in this paper is over 94% .关键词
气井产能/储层损害/归因分析/钻完井/多元回归Key words
Gas well productivity/Reservoir damage/Attribution analysis/Drilling and completion/Multiple regression分类
能源科技引用本文复制引用
廖高龙,梁豪,马双政,张耀元,申远,南源,王冠翔,贺垠博..深水钻井液可控因素对气藏损害归因分析形成的气井产能预测[J].钻井液与完井液,2024,41(3):330-336,7.基金项目
国家自然科学基金青年科学基金项目"智能钻井液聚合物处理剂刺激响应机理与分子结构设计方法研究"(52004297). （52004297）
