本文選題：大數(shù)據(jù)分析　切入點(diǎn)：油氣勘探開發(fā)大數(shù)據(jù)分析模式　出處：《東北石油大學(xué)》2015年碩士論文

【摘要】：隨著油田數(shù)據(jù)中心的建設(shè),油氣勘探數(shù)據(jù)資源的服務(wù)體系正在形成,需要優(yōu)化油氣勘探開發(fā)數(shù)據(jù)應(yīng)用模式和充分地挖掘數(shù)據(jù)的價(jià)值。并且,在油氣勘探開發(fā)領(lǐng)域中,傳統(tǒng)的數(shù)據(jù)分析模式不僅分析維度過于單一,而且分析算法也有一定的局限性,若能將當(dāng)前在互聯(lián)網(wǎng)領(lǐng)域逐漸成熟的大數(shù)據(jù)技術(shù)引入油氣勘探開發(fā),可以較好地解決上述問題并能夠進(jìn)一步挖掘油氣勘探領(lǐng)域中大數(shù)據(jù)的價(jià)值,本文在此基礎(chǔ)上設(shè)計(jì)了油氣勘探開發(fā)大數(shù)據(jù)分析模式,設(shè)計(jì)并實(shí)現(xiàn)了油氣勘探開發(fā)大數(shù)據(jù)分析平臺(tái),油氣勘探開發(fā)大數(shù)據(jù)分析平臺(tái)的實(shí)現(xiàn)不僅填補(bǔ)了油氣勘探開發(fā)領(lǐng)域缺少大數(shù)據(jù)軟件的空白,同時(shí)還為油氣勘探開發(fā)中大數(shù)據(jù)的發(fā)展提供參考。本文的具體研究?jī)?nèi)容如下:1.分析了油氣勘探開發(fā)大數(shù)據(jù)特點(diǎn),提出了油氣勘探開發(fā)大數(shù)據(jù)分析模式(EPBDAM),其中包括油氣勘探開發(fā)大數(shù)據(jù)分析模式的定義和基本框架。其定義由數(shù)據(jù)源、企業(yè)分析數(shù)據(jù)集、分析沙箱、多維關(guān)聯(lián)模型、可視化組件及分析結(jié)果六個(gè)部分組成。其基本框架由數(shù)據(jù)預(yù)處理、數(shù)據(jù)輸入接口、分析沙箱、數(shù)據(jù)輸出接口和數(shù)據(jù)的結(jié)果展示五個(gè)部分組成。2.根據(jù)油氣勘探開發(fā)大數(shù)據(jù)分析模式,設(shè)計(jì)并實(shí)現(xiàn)了油氣勘探開發(fā)大數(shù)據(jù)分析平臺(tái)(EPBDAP)。EPBDAP不僅實(shí)現(xiàn)對(duì)EPBDAM的驗(yàn)證,同時(shí)為油氣勘探開發(fā)大數(shù)據(jù)分析軟件的研究提供有益的參考。在平臺(tái)上,根據(jù)角色的權(quán)限和職能,可使用油氣勘探開發(fā)大數(shù)據(jù)分析沙箱或發(fā)布平臺(tái)。分析沙箱中提供了工程、參考數(shù)據(jù)、分析數(shù)據(jù)集、分析流程、分析方法目錄、案例庫(kù)及可視化組件等相應(yīng)組件;在發(fā)布平臺(tái)上的用戶只能對(duì)權(quán)限內(nèi)的數(shù)據(jù)及案例進(jìn)行查看,無(wú)需關(guān)心繁瑣的分析過程。3.利用抽油機(jī)故障診斷案例驗(yàn)證EPBDAM,采用EPBDAP和傳統(tǒng)的分析方法進(jìn)行分析,對(duì)分析過程及結(jié)果進(jìn)行比較。通過這個(gè)分析和比較的過程,闡述了在大數(shù)據(jù)背景下應(yīng)用的算法、技術(shù)和方法。并通過本例驗(yàn)證了分析模式理論模型和分析平臺(tái)物理模型的可行性,為大數(shù)據(jù)分析在油氣勘探開發(fā)領(lǐng)域中的應(yīng)用提供了有價(jià)值的參考。綜上所述,本文通過設(shè)計(jì)油氣勘探開發(fā)大數(shù)據(jù)分析模式,到實(shí)現(xiàn)油氣勘探開發(fā)大數(shù)據(jù)分析平臺(tái),一是解決了油氣勘探開發(fā)領(lǐng)域中分析方式繁多且效率不高的問題,二是通過平臺(tái)的算法庫(kù)和案例庫(kù)的整合,利用可視化技術(shù),可以充分地挖掘?qū)氋F的油氣勘探開發(fā)數(shù)據(jù)資源的價(jià)值。三是有益于油田數(shù)字化建設(shè)過程中油氣勘探開發(fā)業(yè)務(wù)的智能化水平的提升,有益于生產(chǎn)操作和科學(xué)管理決策。
[Abstract]:With the oilfield data center construction, oil and gas exploration data resources service system is formed, the need to optimize the oil and gas exploration and development data application mode and fully tap the value of the data. And, in the field of oil and gas exploration and development, the traditional data analysis model not only analysis dimension is too single, and the analysis algorithm has some limitations and if the current big data technology in the field of Internet gradually mature into the oil and gas exploration and development, can effectively solve the above problems and further data mining of large oil and gas exploration in the field of value, this paper on the basis of the design of oil and gas exploration and development data analysis model, the design and implementation of oil and gas exploration and development the big data analysis platform, oil and gas exploration and development data analysis platform not only to fill the gaps in the field of oil and gas exploration and development the lack of big data software, at the same time Provide a reference for the development of oil and gas exploration and development in big data. The main research contents of this paper are as follows: 1.. Analysis of the characteristics of oil and gas exploration and development data, the oil and gas exploration and development data analysis model (EPBDAM), including oil and gas exploration and development data analysis model definition and basic framework. It is defined by the data source, business analysis data sets, analysis sandbox, multidimensional association model, visual components and analysis results of six parts. The basic framework consists of data preprocessing, data input interface, analysis sandbox, data output interface and data display.2. according to the results of oil and gas exploration and development data analysis model is composed of five parts, design and the oil and gas exploration and development data analysis platform (EPBDAP).EPBDAP not only realizes the verification of EPBDAM, and provide useful reference for the study on software of oil and gas exploration and development data analysis. On the platform, according to the role of rights and functions, can be used in oil and gas exploration and development data analysis sandbox or publishing platform. Analysis of sandbox provides engineering, reference data, the process of analysis, data collection, analysis method and case database directory, visual components corresponding components; check in publishing platform users only within the competence of data and cases, without concern for the complicated analysis process of.3. by pumping oil machine fault diagnosis case to verify the EPBDAM, using EPBDAP and traditional analysis methods to compare the process and results of analysis. Through the analysis and comparison of the process, expounds the application in large data background is proposed. Techniques and methods. And the feasibility analysis model of theory model and analysis platform physical model is proved by this example, application in the field of oil and gas exploration and development has provided valuable data for analysis Reference. To sum up, through the design of oil and gas exploration and development data analysis model, to analysis platform of oil and gas exploration and development data, one is to solve the analysis of numerous and inefficient problems in the field of oil and gas exploration and development, two is through the integration platform of algorithm library and case library, using visualization technology that can fully tap the valuable oil and gas exploration and development data resource value. Three is the intelligent level is beneficial to the process of digitalization construction of oil and gas exploration and development of oil business promotion, beneficial to the production operation and scientific management decision-making.

【學(xué)位授予單位】：東北石油大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TE319

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 龔波;何新貴;;基于統(tǒng)計(jì)過程控制的軟件過程管理[J];計(jì)算機(jī)應(yīng)用研究;2006年01期

，

本文編號(hào)：1711918