The intelligent management technology of oil and gas reservoir data based on cloud structure

The intelligent management technology of oil and gas reservoir data based on cloud structure

Juan Liao Weihua Shijiang Chen Yang Yi

Oil and gas reservoir data is an important foundation of oil and Gas reservoir research and development, because of the heterogeneity of data source and the imperfect integration mechanism, the separation of large numbers of data has seriously affected the efficient operation of oil and gas reservoir research and development decision-making. In this paper, combined with the construction goal of the digital oil and gas reservoir research system of PetroChina changqing oil Field Company, by analyzing the dependencies between different data sets of oil and gas reservoirs and the correlation between the business requirements and the data centers, a cloud architecture environment based on wrapper/ Mediator strategy Seamless integration of heterogeneous data and large-scale data processing technology based on MapReduce parallel framework: ① application of Wrapper/mediator strategy to seamlessly integrate heterogeneous data into standard data streams, ② application of cloud computing technology for data flow pattern design, Through the data stream driving service request, the MapReduce model and its improved technology are introduced to carry on the parallel and real-time processing of the data stream. The preliminary application results show that this technology can guarantee the parallel operation of oil and gas reservoir research and development decision making, realize real-time decision making, reduce the cost investment of oil and gas reservoir research, and has a strong application value.


The intelligent management technology of oil and gas reservoir data based on cloud structure