本文選題：數(shù)據(jù)倉庫 + 數(shù)據(jù)集成��； 參考：《東北石油大學(xué)》2017年碩士論文

【摘要】：隨著油田開發(fā)的逐步深入,三次采油工業(yè)化規(guī)模的日益擴大,利用人工智能技術(shù)管理三次采油業(yè)務(wù)數(shù)據(jù)已成為三次采油現(xiàn)場的迫切需求。目前,在三次采油生產(chǎn)開發(fā)過程中,存在以下問題:第一,影響三次采油產(chǎn)量的因素越來越多,針對三次采油業(yè)務(wù)數(shù)據(jù)的管理體系尚不完善,增大了油田業(yè)務(wù)處理難度,降低了生產(chǎn)數(shù)據(jù)處理效率;第二,三次采油生產(chǎn)開發(fā)數(shù)據(jù)來源與結(jié)構(gòu)松散度較高,基于多址數(shù)據(jù)庫的管理方式缺乏統(tǒng)一標(biāo)準(zhǔn),數(shù)據(jù)獲取難度大;第三,三次采油業(yè)務(wù)種類繁多,業(yè)務(wù)之間關(guān)聯(lián)性強,使得三次采油人員工作效率降低,導(dǎo)致業(yè)務(wù)準(zhǔn)確率和時效性變差。針對以上問題,本文提出了基于Agent的三次采油生產(chǎn)開發(fā)管理數(shù)據(jù)倉庫的框架模型。首先,在數(shù)據(jù)倉庫搭建方面,設(shè)計生產(chǎn)數(shù)據(jù)樣本,提出生產(chǎn)開發(fā)數(shù)據(jù)的概念模型、邏輯模型和物理模型,并詳細給出各類模型的設(shè)計過程和技術(shù)指標(biāo)。其次,分析三次采油業(yè)務(wù)系統(tǒng),建立基于多Agent的時序數(shù)據(jù)集成管理模型,設(shè)計業(yè)務(wù)單體Agent、調(diào)度Agent和通信Agent。最后,開發(fā)三次采油生產(chǎn)開發(fā)管理平臺,實現(xiàn)三次采油人員日常工作的數(shù)字化、數(shù)據(jù)分析手段的智能化,解決了數(shù)據(jù)獲取難度大、數(shù)據(jù)處理效率低、業(yè)務(wù)準(zhǔn)確率和實效性差的問題�；谌尾捎蜕a(chǎn)開發(fā)管理數(shù)據(jù)倉庫的模型的基礎(chǔ)上,通過Agent實例測試,以某采油廠歷史數(shù)據(jù)為樣本實例驗證了數(shù)據(jù)倉庫模型的合理性和可實施性。
[Abstract]:With the deepening of oilfield development and the increasing scale of industrialization of tertiary oil recovery, the use of artificial intelligence technology to manage tertiary oil recovery business data has become the urgent need of tertiary oil recovery field. At present, in the process of tertiary oil production and development, there are the following problems: first, there are more and more factors that affect the tertiary oil production, and the management system of the tertiary oil recovery data is not perfect, which increases the difficulty of oilfield business processing. The efficiency of production data processing is reduced. Secondly, the data source and structure of tertiary oil production are loose, the management method based on multiple access database is lack of uniform standard, and the data acquisition is difficult. Thirdly, there are many kinds of tertiary oil production business. Because of the strong correlation between the operations, the efficiency of the tertiary oil recovery personnel is reduced, which leads to the deterioration of the business accuracy and timeliness. In view of the above problems, this paper puts forward the framework model of the data warehouse of tertiary production development management based on Agent. Firstly, in the aspect of data warehouse construction, the production data sample is designed, the conceptual model, logical model and physical model of production development data are put forward, and the design process and technical index of all kinds of models are given in detail. Secondly, the tertiary oil recovery business system is analyzed, and the integrated management model of time series data based on multiple Agent is established. The business unit agent is designed, and the scheduling Agent and communication agent are designed. Finally, the management platform of tertiary oil production development is developed to realize the digitization of the daily work of the tertiary oil recovery personnel and the intelligence of data analysis means, which solves the difficulty of data acquisition and the low efficiency of data processing. Business accuracy and effectiveness of the problem. Based on the data warehouse model of tertiary production development management, the rationality and practicability of the data warehouse model are verified by using the historical data of a certain oil production plant as a sample through Agent case test.
【學(xué)位授予單位】：東北石油大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TE938;TP311.13

【參考文獻】

相關(guān)期刊論文 前10條

1 張可佳;李春生;姜海英;趙森;;時間序列下模式挖掘模型設(shè)計[J];計算機工程與應(yīng)用;2015年19期

2 伍曉林;楚艷蘋;;大慶原油中酸性及含氮組分對界面張力的影響[J];石油學(xué)報(石油加工);2013年04期

3 范廣玲;李春生;高雅田;;數(shù)據(jù)挖掘模型選擇的通用建模研究[J];科學(xué)技術(shù)與工程;2011年19期

4 邱中建;趙文智;胡素云;張國生;;我國油氣中長期發(fā)展趨勢與戰(zhàn)略選擇[J];中國工程科學(xué);2011年06期

5 眭純?nèi)A;厲華;畢新忠;;世界三次采油現(xiàn)狀及發(fā)展趨勢[J];國外油田工程;2010年12期

6 楊海龍;卓興家;;三次采油技術(shù)的現(xiàn)狀及發(fā)展趨勢[J];內(nèi)蒙古石油化工;2010年22期

7 楊博;劉大有;金弟;馬海賓;;復(fù)雜網(wǎng)絡(luò)聚類方法[J];軟件學(xué)報;2009年01期

8 李梅霞;;國內(nèi)外三次采油現(xiàn)狀及發(fā)展趨勢[J];當(dāng)代石油石化;2008年12期

9 黃學(xué);;技術(shù)預(yù)見在三次采油發(fā)展戰(zhàn)略中的應(yīng)用[J];大慶石油地質(zhì)與開發(fā);2006年04期

10 易高翔;胡和平;;基于軟計算的Web挖掘研究進展與前景[J];計算機工程與設(shè)計;2006年10期

相關(guān)博士學(xué)位論文 前1條

1 張可佳;基于混合智能的聚驅(qū)區(qū)塊生產(chǎn)動態(tài)預(yù)警方法研究[D];東北石油大學(xué);2016年

相關(guān)碩士學(xué)位論文 前3條

1 李少龍;基于Agent的三次采油動態(tài)集成平臺的研究與實現(xiàn)[D];東北石油大學(xué);2016年

2 邸京華;基于數(shù)據(jù)挖掘的三次采油生產(chǎn)預(yù)警方法研究[D];東北石油大學(xué);2016年

3 張昕;人工智能中的不確定性問題研究[D];國防科學(xué)技術(shù)大學(xué);2012年

，

本文編號：2098509