Research And Design Of Reservoir Physical Property Evaluation System Driven By Knowledge

Reservoir physical property evaluation refers to the evaluation of physical properties of rock reservoir in logging engineering.With the deepening of exploration in Daqing Oilfield,fractured and porous reservoirs have become important reservoirs for oil and gas exploration in Daqing Oilfield.Because of the complexity of the relationship between the geological characteristics and the distribution of oil,gas and water,the interpretation and evaluation is difficult,especially in the physical property evaluation.At present,the logging reservoir physical property evaluation method is mainly aimed at the nuclear magnetic analysis data of cores.Due to the lack of effective core samples in fractured and vuggy reservoirs,the nuclear magnetic analysis physical property evaluation is restricted,and the reservoir physical property evaluation method is single.At the same time,due to the influence of bit type,drilling fluid and other factors,the evaluation method of reservoir physical properties is not perfect,and the error is large.In order to solve the technical problems of identification and physical property evaluation of fractured and vuggy reservoirs,the methods of identification and entry of logging data and physical property evaluation of this type of reservoir are established,and the key problems of the project are solved.A large amount of reservoir information contained in comprehensive logging engineering parameters is fully exploited,the means of logging reservoir physical property evaluation are increased,and the methods of logging reservoir physical property evaluation are improved,It solves the real-time and continuity problems of logging reservoir physical property evaluation,and has far-reaching significance for the innovation and development of logging evaluation technology.The development of reservoir physical property evaluation system driven by knowledge mainly includes data processing,physical property evaluation,results release and output,system management,system maintenance and other functions.In order to support the above functions,the business database structure is designed and developed,and the dynamic database and static database of the mechanical specific energy evaluation reservoir physical property software are established.The dynamic database stores the comprehensive logging data collected on site,and the static database stores all the imported data.The development of the system is based on C # platform,using ODBC oriented technology to realize visual C.The problem of data import and export between Fox Pro database and sqlserver integrates many years of practical experience and methods of reservoir physical property evaluation,with comprehensive function design,flexible and convenient operation,safe and stable operation.Through the application of this platform,the intelligent drawing of reservoir physical property evaluation curve and geological data processing and import can be realized,which greatly improves the efficiency,At the same time,it also provides an effective auxiliary analysis tool for the evaluation results.In this paper,mechanical specific energy technology and clustering algorithm are used to detect outliers,and applied to the reservoir physical property evaluation model to improve the accuracy of evaluation.Finally,combined with the actual needs of the oilfield,the reservoir physical property evaluation system is designed and developed.The system realizes the detection of abnormal points of various data and the drawing of reservoir physical property evaluation curve,completes the physical property evaluation,and provides a scientific basis for the evaluation of reservoir physical property by physical property index.On the one hand,it can be used in regional exploration wells to provide important reference for bit selection and optimization of drilling parameters;On the other hand,when applied to horizontal wells,the influence factors of formation lithology change are weakened,which can more directly reflect the wear and life of bit.It avoids the influence of non objective factors on the benchmark of mechanical specific energy ratio model,and enhances the accuracy of physical property evaluation.