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首頁» 過刊瀏覽» 2023» Vol.8» Issue(4) 398-414     DOI : 10.3969/j.issn.2096-1693.2023.04.031
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采油采氣工程智能化愿景
劉合, 許建國, 蘇健, 楊清海
1 中國石油勘探開發(fā)研究院,北京 100083 2 吉林油田油氣工程研究院,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  智能油氣田的核心是油氣水井的數(shù)字化和智能化,,基于油田采油采氣現(xiàn)狀,提出了由數(shù)據(jù)感知,、數(shù)據(jù)傳輸、關鍵裝備與工藝,、數(shù)據(jù)融合等4 項基本要素構成的智能化采油采氣技術框架,。數(shù)據(jù)感知通過分布于井筒和地面設備中的傳感與信息單元全面感知油氣水井狀態(tài);數(shù)據(jù)傳輸通過井筒,、井場和遠傳網絡實現(xiàn)油氣水井井下和地面節(jié)點互聯(lián),,實現(xiàn)可靠數(shù)據(jù)采集與指令下達;關鍵裝備與工藝將傳感,、通訊,、控制等功能集成,形成適應油氣開發(fā)環(huán)境和生產工藝的硬件基礎,;數(shù)據(jù)融合是以數(shù)據(jù)為基礎,、以人工智能模型與算法為核心的生產運行優(yōu)化分析與智能決策控制系統(tǒng),實現(xiàn)油氣最優(yōu)化生產,?;谥悄芑捎筒蓺饧夹g框架,詳細分析了采油工程和采氣工程4 項基本要素的技術現(xiàn)狀和具體內容,,分別闡述了全鏈條智能采油和全生命周期智能采氣的愿景和目標,。采油采氣井筒智能化研究和建設總體處于單井應用、分散建設階段,,區(qū)塊建設和應用剛剛起步,,智能化硬件呈現(xiàn)點狀應用、規(guī)模不足的特點,;軟件技術發(fā)展總體滯后,,數(shù)據(jù)融合模型較為分散,協(xié)同化應用嚴重不足,。提出了以采油采氣井筒為對象制定頂層設計規(guī)劃、開展智能化示范區(qū)建設,、設計智慧油田生產管理平臺框架等智能化發(fā)展建議,,并將數(shù)字化轉型智能化發(fā)展劃分為示范區(qū)建設,、擴大規(guī)模、全面應用等3 個階段,。
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關鍵詞 : 智能化,采油采氣工程,數(shù)據(jù)感知,數(shù)據(jù)傳輸,關鍵裝備與工藝,數(shù)據(jù)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:    
基金資助:國家自然科學基金基礎科學中心項目“數(shù)字經濟時代的資源環(huán)境管理理論與應用”(72088101),、中國石油天然氣集團有限公司科學研究與技術開發(fā)項目“智能分層注采工程技術研究”(2021ZG12) 和吉林油田公司關鍵工程技術攻關科技工程“智能高效注采關鍵技術研究與應用”(2022JLYTZX02-10) 聯(lián)合資助
通訊作者: [email protected]
引用本文:   
劉合, 許建國, 蘇健, 楊清海. 采油采氣工程智能化愿景. 石油科學通報, 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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