基于SOA的页岩气优快钻井决策系统设计  

Design of Shale Gas Optimal and Fast Drilling Decision System Based on SOA

作　　者：白凯[1,2,3] 夏宏南[2,3] 靳国兴[1,2,3] 杨军[2,3] 

机构地区：[1]长江大学计算机科学学院,湖北荆州434023 [2]长江大学油气钻井技术国家工程实验室防漏堵漏研究室,湖北武汉430100 [3]长江大学石油工程学院,湖北武汉430100

出　　处：《计算机技术与发展》2017年第4期17-20,24,共5页Computer Technology and Development

基　　金：国家自然科学基金资助项目(41502126)

摘　　要：为了科学开展涪陵地区页岩气的钻井施工的总体预测和评价,提高页岩气钻井决策的信息化水平,在深入研究SOA组件及其开发集成框架应用的基础上,提出了构建适用于涪陵地区页岩气钻井技术集成模式科学评价决策系统的一系列思路和方法,包括体系结构设计方法、软件平台构建方法和功能模块设计与实现方法等。该决策系统采用包含主题设计和数据统计方法在内的数据仓库技术,主要功能模块包括页岩气优快钻井经济评价、钻井控制参数优化计算以及复杂与事故预防与处理。在对主要功能模块的内容及其实现途径进行系统分析的基础上,对SOA中松耦合软件开发技术和Web Service服务在决策系统中的应用进行了分析讨论。截止目前,该决策系统的开发工作已基本完成,且预留有进一步扩展优化的空间。试运行结果表明,该决策系统设计较为合理,可有效提高现场决策的效率和正确性。In order to carry out scientific prediction and assessment of drilling shale gas in Fuling region and improve its information deci- sion-making level, a series of ideas and methods to build scientific evaluation and decision-making system for shale gas drilling technolo- gy integrated mode suitable for Fuling region have been proposed based on in-depth investigation on SOA components and its applica- tions in integrated development framework, including architecture design methods, software platform construction methods and function modules. Data warehouse has been employed in this system, including theme designs and statistical methods. The main function modules consist of shale gas drilling economic evaluation, drilling control parameters optimization,preventions and treatments of complex circs and accident. Based on a systematic analysis on contents of the main function modules and its realization approach, applications of the loosely coupled SOA software development technology and Web Service services in the decision-making system have been analyzed and dis- cussed. Presently the development of the system has been basically completed and reserved spaces for further expansion and optimization. Experimental results show that the design of decision-making system is reasonable and its efficiency and correctness of shale gas drilling decision-making can be enhanced.

关 键 词：SOA Web SERVICE 页岩气钻井 决策系统 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]