Multi-source Digital Oilfield Data And Oilfield Data Fusion And Its Methodology Research

Today, with Digital O ilfield Data Construction developing depth, field data plays more and more important role. Since 1999 Daqing O ilfield proposed Digital O ilfeild, all of oil enterprises strive to make historical data digitalised and digital management constructed, however, go with a lot of achievements there are also a lot of problems because of lacking top-level design.This paper took digital oilfield and its multi- source data research for beginning, under the guidance of advanced digital oilfield theories, highlighted the way of multi-source data existing, the reason and feature of generating. Meanwhile, this paper took a field in shaanxi for example, established relevant tectonic model, sedimentary facies model, reservoir model based on its geological multi-source data neaten and fusion, to complete its applied research in reservoir decision-making. The main contents and results of this thesis are as following:1.After a detailed research in digital oilfield data and had them classified, then put forward “Digital O ilfield Source Data(DIS Data) ” and “Computer Management Data(CM Data)” concepts. This paper argues that DIS Data is ” the language of talkable stone ”, the data which collected from source during exploration, exploitation, production and transportation process, has several features as reusable, Identification and characterization of underground reservoirs, Intelligent dynamic management of oil and gas production process, ect. CM Data referes to the data according to the principle of computer management, Its characteristic is more complex; most are structured data and to be used as explain, inference and geological research reports.2. Adequately studied the digital oilfield data and its polyphyly, then proposed that data polyphyly has different meaning to oilfield source data and computer manageme nt data.O ilfield source data is caused by oil field multivariate data acquisition methods, and all kinds of professional data,which is from multidisciplinary and multi- field, such as Seismic, logging, core test, output, temperature, pressure, etc. However, the cause of computer management of multi-source data is due to many-time, many-sector and many-developer digital oilfield construction, which have different levels and a variety of formats and database and management information systems caused data management gap.3. After a detailed research in digital oilfield data and its polyphyly, we studied multi-source data fusion problems. O ilfield data fusion is a process of a new data volume which is generated after the merger, calculated and organized, applied in geological research, and then, used to find the underground geological body, structure and reservoir, and establish all kinds of geological models.4. Oil field research of multi- source data fusion is a complex and important process which needs correct theories and medthod as guidance,in hence,we put forward O ilfield Data Science concept and knowledge hierarchy as the basic theory in oilfield data research. Meanwhile, we developed Datist Experts technology and software in accordance with the need of oil field multi-source data fusion in the trouble of multi-source data extracting, which obtain good results and constitute the methodology of multi-source data fusion research.5. Applied oilfield multi-source data theory and method, the paper took X O ilfield in Shaanxi for example, completes data mining and fusion, and thus established the structure modle, sedimentary facies model and reservoir model of the study area, and completes geological research and analysis. All of these work embodies real significance of the oilfield data polyphyly and realizes the application of data fusion in geological research, making a contribution to finding the remaining oil, improving recovery and looking for more oil and gas resources.