基于大数据的钻井液优化设计研究  

Research on the Optimized Design of Drilling Fluid Based on Big Data

作　　者：焦昱璇 曹晓春[1] 花露露 JIAO Yuxuan;CAO Xiaochun;HUA Lulu(Northeast Petroleum University,Daqing Heilongjiang 163318,China)

机构地区：[1]东北石油大学石油工程学院,黑龙江大庆163318

出　　处：《信息与电脑》2022年第13期106-108,共3页Information & Computer

基　　金：黑龙江省大学生创新创业训练计划项目“基于大数据的油气钻井工作液信息处理和设计平台”(项目编号:202010220096)。

摘　　要：钻井液在油气钻井工程中起着十分重要的作用,为保证钻井工程的顺利进行,必须进行钻井液的优化设计。本文研究了将油气钻井工程中的相关数据(地层的地质资料及油气井开采的有关信息)进行归类采集,通过数据分析、人工智能等技术手段,结合计算机算法,对钻井液体系进行了优化设计,并形成相应的设计软件。该软件可以实现地层类型、井的类别、钻井液体系、钻井液性能与钻井液配方等各模块信息的有机融合,为安全、科学和高效钻井提供技术支持。Drilling fluid plays a very important role in oil and gas drilling engineering,and the optimal design of drilling fluid must be carried out to ensure the smooth progress of drilling engineering.In this paper,we study the categorization and collection of relevant data(geological data of the formation and information related to oil and gas well extraction)in oil and gas drilling engineering,and optimize the design of drilling fluid system through data analysis,artificial intelligence and other technical means,combined with computer algorithms,and form the corresponding design software.It can realize the organic integration of information of each module,such as formation type,well category,drilling fluid system,drilling fluid performance and drilling fluid formulation,and provide technical support for safe,scientific and efficient drilling.

关 键 词：钻井液 油气钻井工程 大数据 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]