Research On Exploration And Production Big Data Analytic Mode

If the big data technology in the field of Internet gradually mature into exploration and production, it not only can solve the above problems, but also through data analysis, it can achieve the oilfield production system data in a timely and accurate tracking research, meanwhile, it provides the guidance of production optimization analysis and forecast of production, so as to adjust the production mode of oil to the best and to maximize the benefit.With the construction of oilfield data center, exploration and production data resources service system is being formed. How to optimize the oil and gas exploration and development data application mode and fully tap the value of the data is the next step service system need to solve the problem. Meanwhile, in the field of oil and gas exploration and development, the traditional data analysis model is not only that analysis dimension is too single, and analytic algorithm also has some limitations. If the current big data technology in the field of Internet is introduced into the oil and gas exploration and development, it can effectively solve the above problems and further data mining of large oil gas exploration in the field of value. This thesis is on the basis of the design of oil and gas exploration and development data analysis model. It designs and implements the exploration and production big data analytic platform. It is not only to fill the gaps in the oil field, which is lack of software of the big data. But also it provides a reference as the development of oil and gas exploration and development in big data.The main research contents of this thesis are as follows:Firstly, it introduces Exploration and Production Big Data Analytic Mode(EPBDAM) through analyzing the characteristics of exploration and production. It contains two parts, the definition and basic frame. The definition includes data source, enterprise data analytic sets, analytic sandbox, multidimensional association model, visual components and analysis results. And the framework consists of data preprocessing, data input interface, analysis results from the sandbox and data output interface and data display.Secondly, it uses the EPBDAM to achieve Exploration and Production Big Data Platform(EPBDAP). There are many advantages. Firstly, it accomplishes the verification of the mode. Secondly, it provides a reference to software to Exploration and Petroleum Big Data. In EPBDAP, according to the role of rights and functions, it can choose to use sandbox or publishing platform. There are many tools in sandbox, such as project, reference data, analytic data set, analytic process, analytic method directory, case base and visualization. In publishing platform, users can only view with the competence of data and cases, without concern of the complicated analytic process.Thirdly, the fault diagnosis of oil pumping machine case to verify the EPBDAM, using EPBDAP and traditional analysis methods, it compare the process and results. Through the analytic comparison of the process, it describes the algorithm, application technique and method in the big data. It verifies the theoretical model and physical model are feasible. Meanwhile, it provides the reference to analyze use big data in oilfield.In summary, this thesis firstly designs the Exploration and Petroleum Big Data Analytic Mode. Then it achieves the EPBDAP. It not only solves the analysis of numerous and inefficient problems in the oilfield, but only is through the integration platform of algorithm library and case library, to achieve the visualization to fully tap the value. Besides, it is beneficial to the oil intelligent construction with the development of digital oilfield construction, meanwhile, it can help the production operation and scientific management decision-making.