精品素人自拍偷拍|91精品国产av国产|杨思敏伦理片|91制片厂杨柳信息|亚洲激情综合|蜜桃影像传媒ios下载|亚洲精品视频在线看|打屁股色网站|爱豆文化传媒影片|国产欧美精品一区二区色,明星换脸 av,国产日韩成人av,亚洲成a人影院

 
 
 
文章檢索
首頁» 過刊瀏覽» 2019» Vol.4» Issue(4) 403-413???? DOI : 10.3969/j.issn.2096-1693.2019.04.036
最新目錄| | 過刊瀏覽| 高級檢索
人工智能在石油工業(yè)中的應(yīng)用現(xiàn)狀探討
林伯韜1, 2*,,郭建成1, 2
1 中國石油大學(xué)( 北京) 油氣資源與探測國家重點實驗室,,北京 102249 2 中國石油大學(xué)( 北京) 石油工程學(xué)院,,北京 102249
Discussion on current application of artificial intelligence in petroleum industry
LIN Botao1, 2, GUO Jiancheng1, 2
1 State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum-Beijing, Beijing 102249, China 2 College of Petroleum Engineering, China University of Petroleum-Beijing, Beijing 102249, China

全文: ? HTML (1 KB)?
文章導(dǎo)讀??
摘要? 人工智能隨著計算機,、機器翻譯、自然語言處理等相關(guān)軟硬件的發(fā)展而誕生,,由于其出色的預(yù)測、分析,、決策和計算能力,,開始引領(lǐng)工業(yè)4.0,石油工業(yè)的智能化也由此被大力推進(jìn),。本文從石油工業(yè)標(biāo)志性的人工智能發(fā)展事件出發(fā),,闡述了近年來世界頂尖石油公司與互聯(lián)網(wǎng)科技公司的創(chuàng)新合作,介紹了石油工業(yè)人工智能技術(shù)迄今發(fā)展的水平,。發(fā)現(xiàn)人工智能技術(shù)應(yīng)用范圍已從上游的勘探,、開發(fā)、生產(chǎn)貫穿至下游的運營,、銷售,、投資,可顯著提高油氣行業(yè)的效率和效益,;然而,,目前通常采用的定制化人工智能技術(shù)距離通用性人工智能技術(shù)還存在較大距離。筆者認(rèn)為石油工業(yè)的智能化趨勢對石油從業(yè)者提出了更高的要求,,其中專業(yè)知識和能力,、數(shù)學(xué)能力以及編程水平將成為決定石油工業(yè)人工智能人才成才的關(guān)鍵因素。同時,,未來石油行業(yè)的智能化發(fā)展是行業(yè)+人工智能的不斷進(jìn)化,,以行業(yè)專業(yè)知識與技能為根基,側(cè)重于優(yōu)化預(yù)測和自動化能力的發(fā)展,,以期最終形成貫穿石油工業(yè)全產(chǎn)業(yè)鏈的智能化物聯(lián)網(wǎng),。
服務(wù)
把本文推薦給朋友
加入我的書架
加入引用管理器
關(guān)鍵詞 : 人工智能; 石油工業(yè); 大數(shù)據(jù); 云計算; 自動化
Abstract

The artificial intelligence (AI) was born with the development of hardware and software such as computer, machine translation and natural language processing. Because of its outstanding capacities including prediction, analysis, decision making,and computing, it has begun to lead the progress of industry 4.0 and promoted the advances of the petroleum industry. This article begins by introducing several key AI events in the petroleum industry, then narrates the creative collaboration between the world-leading oil companies and the internet companies, as well as the current level of development of AI. It is discovered that the application of AI has been implemented throughout the upstream (exploration, development, production) to the downstream(management, sales, investment) channel, and has dramatically increased the efficiency and profit of the industry. However, the present specialized AI is still at a noticeable distance from the general AI level. The authors believe that the AI development of the industry requests higher capacities of the professionals adept at professional knowledge and skills, with advanced mathematical capacity and level of programming. Meanwhile, the future advancement of AI in the petroleum industry shall be first based on the progress of the industry itself plus the aid of the AI techniques, especially optimized prediction and automation, so as to finally form an intelligent internet of merchandises that connects the entire industry chain.

Key words: artificial intelligence; petroleum industry; big data; cloud computing; automation
收稿日期: 2019-12-30 ????
PACS: ? ?
基金資助:國家科技重大專項“大型油氣田及煤層氣開發(fā)”課題4“頁巖氣排采工藝技術(shù)與應(yīng)用”( 編號:2017ZX05037-004) 資助
通訊作者: [email protected]
引用本文: ??
林伯韜, 郭建成. 人工智能在石油工業(yè)中的應(yīng)用現(xiàn)狀探討. 石油科學(xué)通報, 2019, 04: 403-413
鏈接本文: ?
LIN Botao, GUO Jiancheng. Discussion on current application of artificial intelligence in petroleum industry. Petroleum Science Bulletin, 2019, 04: 403-413.
版權(quán)所有 2016 《石油科學(xué)通報》雜志社