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
廖高龙 1梁豪 1马双政 2张耀元 2申远 1南源 2王冠翔 2贺垠博3
作者信息
- 1. 中海石油有限公司海南分公司,海南海口 570311
- 2. 中海油能源发展股份有限公司工程技术分公司,广东湛江 524057
- 3. 中国石油大学(北京),北京 102249
- 折叠
摘要
随着开采程度加深,钻井液造成的储层损害防治要求日益突出,储层保护现已成为气田产能充分释放的关键因素.而深水钻井液体系随井深不断加深,钻井液各性能变化,造成储层损害程度加剧,储层保护性能优化方向不明.因此通过Pearson相关性分析和灰色关联度分析相结合的方式对储层损害进行钻井液可控因素方面的归因分析,确定主控因素,建立气井产能模型.结果表明:钻井液的固相粒径、表面张力、矿化度和高温高压滤失量是钻井液导致储层损害的主控因素.根据归因分析结果,提出了复配不同粒径分布的碳酸钙作为加重剂的优化方法,将钻井液渗透率恢复值提高了12.1%～19.68%.收集了Y8、Y9两口井的现场参数进行了模型适用性验证,结果表明建立的模型准确率达到94%以上.
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引用本文复制引用
基金项目
国家自然科学基金青年科学基金项目(52004297)
出版年
2024
国家科技期刊平台
NSTL
万方数据