验证与确认技术在智能油田信息化建设中的应用

Study on the application of verification and validation technology in the construction of intelligent oil fields

林杨 单延武 安创锋 詹燕民 邓欣 杨波 赵越 高小永

LIN Yang SHAN Yanwu AN Chuangfeng ZHAN Yanmin DENG Xin YANG Bo ZHAO Yue GAO Xiaoyong

中国海油(中国)有限公司秦皇岛32-6/渤中作业公司 中海油能源发展股份有限公司采油服务分公司 中国石油大学(北京)信息科学与工程学院

China National Offshore Oil (China) Company Qinhuangdao 32-6/Bozhong Operations Company, Tianjin 300459, China China National Offshore Oil & Energy Development Company, Oil Production Service Branch, Tianjin 300452, China Department of Automation, China University of Petroleum(Beijing), Beijing 102249, China

验证与确认技术(V&V)是保障软件系统质量的关键一招。在智能油田信息化建设中，软件系统质量因保障油田的高效工作而备受关注。传统软件系统开发的维护成本占整个软件开发周期的50%~70%。V&V旨在智能油田信息化建设的软件系统开发的需求阶段修正错误，指数级地降低维护成本中的纠错成本，保障油田的稳定生产。基于此，首次提出一种将V&V技术应用于智能油田信息化建设的方法，为国际、国内针对智能油田软件系统开发指导规范提供了新思路。主要研究了智能油田信息化建设所覆盖的业务部门和智能部门及油水井等智能化应用等工作紧密相关的V&V，提出了智能油田信息化建设中设计、测试及V&V过程的文档要求，更进一步制定了V&V工作流程，使该流程在实际项目开展时不断验证、固化。同时所提V&V揭示了智能油田软件开发周期活动中潜在的风险因素，推进了过程实施、风险控制及协助设计团队设计方法的改进，提高了软件系统的质量。验证与确认技术用于智能油田信息化建设的方法，对油田生产智能化发展具有深远的借鉴和指导意义。

Verification and validation (V&V) technology is a key move to guarantee the quality of software systems. In the construction of intelligent oilfield, the quality of software system is of great concern because it guarantees the efficient work of the oilfield. The maintenance cost of traditional software system development accounts for 50% to 70% of the entire software development cycle. V&V aims to correct errors in the demand phase of software system development for smart oilfield construction to achieve exponential reduction of error correction costs in maintenance costs and guarantee stable oilfield production. Based on this, this paper proposes for the first time a method to apply V&V technology to the construction of intelligent oilfield, which provides new ideas for international and domestic guidance specifications for the development of intelligent oil field software systems. This paper focuses on V&V closely related to the work of business departments and intelligent departments and intelligent applications such as oil and water wells covered by smart oilfield construction, proposes documentation requirements for the design, testing and V&V process in smart oilfield construction, and furthermore develops a V&V workflow so that the process is continuously verified and solidified when the actual project is carried out. The proposed V&V also reveals the potential risk factors in the intelligent oilfield software development cycle activities and promotes the process implementation, risk control and assistance to the design team to improve the design methodology and enhance the quality of the software system. The method of verification and validation technology for intelligent oilfield construction has far-reaching reference and guidance significance for the development of intelligent oilfield production.

10.13639/j.odpt.2022.01.020