Management and instant query of distributed oil and gas production dynamic data

Abstract

The multidimensional analysis engine data management platform is constructed using big data distributed storage and parallel computing, data warehouse modeling technology, realizing the optimal management and instant query of distributed oil and gas production dynamic big data. The centralized management and quick response of the production data of more than 36×104 oil, gas and water wells is realized. Multidimensional analysis subject model of oil, gas and water well production is built to pretreat the relevant data. At the level of China National Petroleum Corporation (CNPC), the rapid analysis and applications such as oil and gas production tracking, early production warning of key oilfields, analysis of low production wells and long shutdown wells, classification of reservoir development laws have been realized, and the processing time has been shortened from 1 d to 5 s. The basic unit of oil and gas production analysis is refined from oilfield to single well, making the production management more detailed. The process can be traced step by step according to CNPC, oil field company, field, block and single well, and the oil and gas production performance of each unit can be mastered in real time. Key words: production performance, big data, parallel computation, multidimensional analysis, optimal management, instant query, early production warning