石油科技论坛 ›› 2023, Vol. 42 ›› Issue (3): 79-85.DOI: 10.3969/j.issn.1002-302x.2023.03.010

• 油气行业数字化转型智能化发展专刊 • 上一篇    下一篇

油田企业实验室数字化转型认识与实践

王斌 杨建 何轶果 谈锦锋 闵建   

  1. 中国石油西南油气田公司工程技术研究院
  • 出版日期:2023-06-30 发布日期:2023-09-05
  • 作者简介:王斌,1981年生,2005年本科毕业于西南石油学院石油工程专业,高级工程师,主要从事井工程信息化建设与管理工作。
  • 基金资助:
    中国石油西南油气田公司科技项目“重点实验室/试验基地‘十四五’实验新方法研究、推广应用及运行管理”(编号:20210305-22)。

Understanding and Practice from Laboratory Digital Transformation at Oilfield Enterprises

Wang Bin, Yang Jian, He Yiguo, Tan Jinfeng, Min Jian   

  1. Engineering Technology Research Institute, PetroChina Southwest Oil & Gas Field Company, Chengdu 610017, China
  • Online:2023-06-30 Published:2023-09-05

摘要: 实验室是油田企业决策支撑中心,直接参与油气勘探开发全过程。随着信息技术飞速发展,传统的实验室运行模式凸显工作效率低、数据价值开发不足、质量管控难度大等问题。为全面提升实验数据开发应用水平,提高检测业务、科学研究、决策管理协作能力,按照CMA和CNAS质量认证认可管理要求,围绕实验室人员、设备、物料、检测等全过程管理,运用物联网、移动应用和大数据等信息技术,开展业务流程再造、数据集成整合和数据分析工具应用,建成了以实验室数据应用为主线的数字化管理平台,建立了一套业务流程优化、资源配置科学、质量控制可靠、风险管控精准、数据利用高效的数字化管理新模式。实验室通过“线下业务管理”向“线上流程管理”转变,实验检测运行效率提升30%,质量管理人员工作量降低70%以上,节约管理成本20%以上,实现质量、效益双提升。

关键词: 油田企业;实验室;信息化;数字化;数据库;数据分析

Abstract: Laboratory is the support center for the oilfield enterprise to make decisions and directly involved in the whole process of oil and gas exploration and development. Thanks to rapid development of information technology, some problems cropped up in traditional operation of a laboratory, such as low work efficiency, inadequate development of data value, and difficult quality control. To raise the development and application level of experiment data, it is necessary to improve the abilities for business testing, scientific research, and decision-making management and coordination. Based on the requirements for CMA and CNAS quality certificates, the efforts are focused on management of laboratory personnel, equipment, materials and inspecting. Information technology like Internet of Things, mobile application and big data is used for reconstruction of the business process, data integration and data analysis. The digitalized management platform is established on the basis of laboratory data application while a complete set of new digital management models is put in place for optimization of business process, scientific arrangement of resources, reliable quality control, precise risks control, and high-efficiency application of data. The laboratory is in transition to “online process management” from “offline business management”. The operational efficiency of experiment inspection is improved by 30 percent, the workload of quality management personnel lowered by more than 70 percent, and the management cost saved by more than 20 percent, thus raising both quality and performance.

Key words: oilfield enterprises, laboratory, informatization, digitalization, databank, data analysis

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