0 引言
1 初级智能钻井液技术现状
1.1 基于压力敏感材料的可变密度钻井液
图1 智能可变密度添加剂状态随井下压力变化情况 |
1.2 基于盐响应聚合物的饱和盐水钻井液
1.3 基于pH值响应材料的可逆转乳化钻井液
图2 油包水乳状液与水包油乳状液之间相互转化示意图 |
智能钻井液技术研究现状与发展方向
第一作者简介:蒋官澄(1966-),男,重庆大足人,博士,中国石油大学(北京)石油工程学院教授,主要从事钻井液完井液化学与工程、油气层损害与保护技术等方面的研究工作。地址:北京市昌平区府学路18号,中国石油大学(北京)石油工程学院,邮政编码:102249。E-mail:jgc5786@126.com
收稿日期: 2021-09-11
修回日期: 2022-03-28
网络出版日期: 2022-05-25
基金资助
国家自然科学创新研究群体“复杂油气井钻井与完井基础研究(51521063)”
国家自然科学基金重大项目“井筒工作液与天然气水合物储层作用机理和调控方法(51991361)”
Research status and development directions of intelligent drilling fluid technologies
Received date: 2021-09-11
Revised date: 2022-03-28
Online published: 2022-05-25
Copyright
通过对当前国内外具有初级智能特点的钻井液技术研究现状的系统总结,阐述了可变密度、盐响应、可逆转乳化、恒流变、形状记忆防漏堵漏、智能保护油气层和原位流变可控共7种初级智能钻井液技术的发展背景和智能响应机理,分析了初级智能钻井液技术目前存在的问题与未来面临的挑战,指出智能材料学、纳米科学和人工智能理论等是未来研究具有“自识别、自调节和自适应”更高级智能水平钻井液技术的重要手段。在此基础上,结合钻井液技术需求和智能钻井液理论发展需要,提出了3个方面的发展方向:①研发响应多变地层压力、多变地层岩性、多变地层流体、多变储集层特征、高温地层与复杂地面环保需要的智能钻井液;②建立智能钻井液设计与管理专家系统;③构建实时智能检测与维护处理网络。
蒋官澄 , 董腾飞 , 崔凯潇 , 贺垠博 , 全晓虎 , 杨丽丽 , 付玥 . 智能钻井液技术研究现状与发展方向[J]. 石油勘探与开发, 2022 , 49(3) : 577 -585 . DOI: 10.11698/PED.20210666
By reviewing the current status of drilling fluid technologies with primary intelligence features at home and abroad, the development background and intelligent response mechanisms of drilling fluid technologies such as variable density, salt response, reversible emulsification, constant rheology, shape memory loss prevention and plugging, intelligent reservoir protection and in-situ rheology control are elaborated, current issues and future challenges are analyzed, and it is pointed out that intelligent material science, nanoscience and artificial intelligence theory are important methods for future research of intelligent drilling fluid technology of horizontal wells with more advanced intelligent features of "self-identification, self-tuning and self-adaptation". Based on the aforementioned outline and integrated with the demands from the drilling fluid technology and intelligent drilling fluid theory, three development suggestions are put forward: (1) research and develop intelligent drilling fluids responding to variable formation pressure, variable formation lithology and fluid, variable reservoir characteristics, high temperature formation and complex ground environmental protection needs; (2) establish an expert system for intelligent drilling fluid design and management; and (3) establish a real-time intelligent check and maintenance processing network.
图1 智能可变密度添加剂状态随井下压力变化情况 |
图2 油包水乳状液与水包油乳状液之间相互转化示意图 |
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