多维度深水浅层建井方式优选方法研究
Multi-Dimensional Selection Method for Well Construction in Shallow Formations of Deepwater
傅超 1杨进 1刘华清 2殷启帅 1王磊 3胡志强3
作者信息
- 1. 中国石油大学(北京)安全与海洋工程学院,北京 102249
- 2. 中国石油集团海洋工程有限公司,天津 300451
- 3. 中石化石油工程技术研究院有限公司,北京 102206
- 折叠
摘要
深水钻井作业具有海洋环境多变、地质条件复杂、作业风险大和日费率高等特点,深水浅层建井的方式难以选择.针对海底土质强度、建井质量、作业时效、经济性、风险控制等因素,根据现场作业工程数据,分别对不同建井工艺的适应性进行了分析,建立了单维度的适应性分级机制,并借助雷达图进行定量可视化,形成了多维度深水浅层建井方式优选方法.研究结果表明,水深 500～1500 m的南海北部海域,单井作业时,喷射法一般为浅层建井最优方法,作业效率相比钻入法可提高50%以上.该方法已在中国南海几十口深水井取得良好应用效果,可为深水复杂地层建井方式选择提供定量评价方法.
Abstract
Due to the characteristics of variable marine environment,complex geological conditions,high operational risks,and high day rates of deepwater drilling operations,it is difficult to choose suitable method for well construction in shallow formation in deepwater.Taking into account all relevant factors,including seabed soil strength,well construction quality,operation efficiency,cost efficiency,drilling safety risk control,and other factors,the adaptability of different well construction methods were analyzed based on the field operation engineering data.A single-dimensional adaptability classification mechanism was established,and a multi-dimensional selection method for well construction in shallow formations of deepwater was formed through quantitative visualization using radar charts.The results show that in the South China Sea with a water depth of 500-1500 meters,the jetting method is the optimal method for well construction in shallow formation during single well operation,and the operation efficiency can be improved by more than 50%compared to the drilling method.This method has achieved good application results in dozens of deepwater wells in the South China Sea,which provides a quantitative evaluation approach for the selection of well construction methods in deepwater complex formations.
关键词
浅层建井/喷射法/钻入法/水下打桩法/钻井风险/表层导管/定量优选Key words
well construction in shallow formations/jetting method/drilling method/underwater piling method/drilling risk/surface conductor/quantitative selection引用本文复制引用
基金项目
国家自然科学基金企业创新发展联合基金重点项目(U22B20126)
海南省重大科技计划(ZDKJ2020011)
出版年
2024
NETL
NSTL
万方数据