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首页» 过刊浏览» 2023» Vol.8» Issue(4) 398-414     DOI : 10.3969/j.issn.2096-1693.2023.04.031
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采油采气工程智能化愿景
刘合, 许建国, 苏健, 杨清海
1 中国石油勘探开发研究院,北京 100083 2 吉林油田油气工程研究院,吉林松原 138000
Prospects for intelligent oil and gas production
LIU He, XU Jianguo, SU Jian, YANG Qinghai
1 PetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, China 2 PetroChina Jilin Oilfield, Songyuan 138000, Jilin, China

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摘要  智能油气田的核心是油气水井的数字化和智能化,基于油田采油采气现状,提出了由数据感知、数据传输、关键装备与工艺、数据融合等4 项基本要素构成的智能化采油采气技术框架。数据感知通过分布于井筒和地面设备中的传感与信息单元全面感知油气水井状态;数据传输通过井筒、井场和远传网络实现油气水井井下和地面节点互联,实现可靠数据采集与指令下达;关键装备与工艺将传感、通讯、控制等功能集成,形成适应油气开发环境和生产工艺的硬件基础;数据融合是以数据为基础、以人工智能模型与算法为核心的生产运行优化分析与智能决策控制系统,实现油气最优化生产。基于智能化采油采气技术框架,详细分析了采油工程和采气工程4 项基本要素的技术现状和具体内容,分别阐述了全链条智能采油和全生命周期智能采气的愿景和目标。采油采气井筒智能化研究和建设总体处于单井应用、分散建设阶段,区块建设和应用刚刚起步,智能化硬件呈现点状应用、规模不足的特点;软件技术发展总体滞后,数据融合模型较为分散,协同化应用严重不足。提出了以采油采气井筒为对象制定顶层设计规划、开展智能化示范区建设、设计智慧油田生产管理平台框架等智能化发展建议,并将数字化转型智能化发展划分为示范区建设、扩大规模、全面应用等3 个阶段。
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关键词 : 智能化,采油采气工程,数据感知,数据传输,关键装备与工艺,数据融合
Abstract

The essence of intelligent oil and gas fields is the digitalization and intelligence of oil/water/gas wells. Based on the current situation of oil and gas production in oil fields, a technical framework of intelligent oil and gas production is proposed, which consists of four basic elements: data sensing, data transmission, key equipment and technology, and data fusion. Data sensing comprehensively senses the status of oil/water/gas wells through sensing and information units distributed throughout the wellbore and surface equipment. Data transmission is achieved through the wellbore, well site, and remote transmission networks to interconnect downhole and surface nodes of oil, gas, and water wells, achieving reliable data collection and command delivery. Key equipment and technologies integrate sensing, communication, control and other functions to form a hardware foundation suitable for the oil and gas development environment and production process. Data fusion is a system of production operation optimization analysis and intelligent decision control, which is based on data and with an artificial intelligence model and algorithm as the core, so as to achieve optimal oil and gas production. Based on the framework of intelligent oil and gas production technology, the technical status and specific content of the above four basic elements are analyzed in detail. The vision and goals of full intelligent oil production and whole-life cycle intelligent gas production are described respectively. The research and construction of intelligent wells in oil and gas production is generally at the stage of single well application and scattered construction. The block construction and application have just started, and the intelligent hardware applications are characterized by being patchy and small scale. The development of software technology lags behind, the data fusion model is scattered, and the collaborative application is seriously insufficient. The following intelligent development suggestions are proposed in this paper: the top-level design planning of oil fields, the construction of intelligent demonstration zones, and the framework of an intelligent oil field production management platform. The process of digital transformation and intelligent development is divided into three stages: construction of demonstration zones, expansion of the scale, and comprehensive application.

Key words: intellectualization; oil & gas production; data sensing; data transmission; key equipment and technology; data fusion
收稿日期: 2023-08-30     
PACS:    
基金资助:国家自然科学基金基础科学中心项目“数字经济时代的资源环境管理理论与应用”(72088101)、中国石油天然气集团有限公司科学研究与技术开发项目“智能分层注采工程技术研究”(2021ZG12) 和吉林油田公司关键工程技术攻关科技工程“智能高效注采关键技术研究与应用”(2022JLYTZX02-10) 联合资助
通讯作者: qinghai.yang@petrochina.com.cn
引用本文:   
刘合, 许建国, 苏健, 杨清海. 采油采气工程智能化愿景. 石油科学通报, 2023, 04: 398-414 LIU He, XU Jianguo, SU Jian, YANG Qinghai. Prospects for intelligent oil and gas production. Petroleum Science Bulletin, 2023, 04: 398-414.
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