Analysis Of Oilfield Production Decisions Based On The Data Warehouse And Data Mining Technology

Construction requirements for information of oil field Constantly increase with the deepening of oil-gas exploration and development. Useful decision information is obtained from the numerous and complex environment of a large number of data and make exact and timely analysis and decision. It has become vital link for long-term development of oil field.In the oil production process, large amounts of historical data and results of production management data were accumulated. However, valuable information is very limited. Traditional database technology take single data resources as center, which only keep the current management information and is lack of a lot of historical information for decision analysis so as to makes it impossible to meet the management requirements for decision analysis. Yet data warehouse established on database could meet the data environment needs for decision analysis. Data warehouse and data mining to support analysis and decision-making has become an important technology. Through the establishment of interested model, the useful information hidden in the back of a mass of data is extracted and mined to research the development trend of things and explore the laws of oil-field production. Then, we can predict indicators of reservoir development and the future production, so as to make important decisions for competing in the market.Combining the characteristics of the well production, the key properties and parameters respectively from single well and the well group in the production processes are extracted to model. We deep research related technologies, including construction method of data warehouse, OLAP, data storage mode, data analysis and mining, etc. Eventually, a set of technology process of data-warehouse construction and decision analysis is formed which suitable for well production, and operational processes is established about data-warehouse construction, OLAP, data storage mode, data analysis and decision-making, which provide effective technical support for depth study of the technology and widely used in oil fields.