Research On Multi-Disciplinary Oil Reservoir Resources Coordination Mechanism And The Implementation Technology

With the development of the oil field development, most of oil fields in our country havesuccessively entered the development stage of high water cut stage. Facing the problem of theshortage of areas for exploration, we put forward higher request for fine reservoir researchand development. With the progress of science and technology, people have increasinglyrealize that oil technological development relies on the integration of multi-disciplinary.Multiple disciplines reservoir study has been commonly used as a technical means of the oilfield development in the west. Most foreign oil companies think that throughmultidisciplinary reservoir technology research can make a more accurate reservoirdescription, which is closer to reality. Through reservoir engineering study can we improvethe effect of the oil development effect to get the best economical benefits and realize thepurpose of fine exploration by using the least cost to get higher recovery efficiency.This paper has carried out the technical resources synergy mechanism based onmulti-Agent technology and the unity of the data storage and management technology. Thespecific research contents include the following aspects. The paper first elaborate the basictheory of computer supported cooperative work and technology, including computersupported cooperative work system model and the principle of the model. Second, the paperexpounds technical resources synergy mechanism based on multi-Agent technology andanalyses the communication mechanism of multi-Agent. It includes: the structure andcomposition of multi-Agent, language KQML and synergistic selection and schedulingtechnology. The writer analyzes the existing problems in communication, and improved them.Third, the writer puts forward a scheme based on Hadoop to unify data storage andmanagement. Based on the Hadoop distributed file system, the writer designs a set of unifiedstorage management model of reservoir description data by using the MapReduce distributedcomputing technology. The model will process a large number of scattered disorderlyunstructured data, forming a relatively structured model. What’s more, the model willestablish the classification index, getting ready for the unified access to data to make sure theusers can get the information more accurate and more according to the query results. Finally,the paper researches all kinds of key technologies involved in this system, and realized visualdisplay of the system.