Research And Design Of Auxiliary Platform In Oil Well Fracturing Measures Analysis

As the secondary development of oil field, fracturing technology becomes one of the main means to increase production of oil field. Nowadays, the number of measures wells is increasing. A number of factors that affecting fracturing measures, the complicated business analysis process, that lead to the analysis of the fracturing measures is time-consuming and laborious, the effect is not as its expected. To provide suppor to the potential of mining production and the improving of the management level of oil field development. We use computer technology to integrate relevant data, integrated business applications, to achieve the digital management of fracturing measures and auxiliary analysis and decision-making, improve the accuracy and efficiency of work, in order to reduce fracturing measures analysis workload, reduce the complexity of business analysis, improve the effect of fracturing measures.In this paper, the goal of the study is to solve some practical problems such as too much measure wells and the difficulty of the analysis of the fracturing. First, we analyze the operational and functional requirements of oil well fracturing measures, find out the effect factors of fracturing measures and design architecture model of auxiliary platform for oil well fracturing measure analysis, second, we have conducted in-depth research on the related technologies and methods, such as intelligent choosing for measure well and effect prediction of fracturing measures, respectively, and theory of expert system is imported into fracturing measure business, we designed the expert reasoning mechanism for the selection of well and layer selection which reduced the complexity of the preferred assistant analysis decision for measure wells and the fuzzy comprehensive evaluation method is adopted in this paper, in order to improve the validity and accuracy of the results of reasoning. Meanwhile we used multiple linear regression and BP neural network to establish the productivity prediction model of fractured wells to improve the correctness and accuracy of the prediction of oil pressure increase. At last we designed and developed a set of auxiliary well fracturing measures analysis platform, combined the reality of oilfield fracturing measures to choose well layer of business requirements. Platform realizes the reasonable auxiliary analysis and decision-making for fracturing measures, completes the steps of selecting well selected layer, and the evaluation of the effect, provides oilfield with scientific basis for efficient measures management, auxiliary analysis.The development of this system is based on.NET platform. The system integrates the artificial experience and method of selecting well for many years, the unity of the application service is realized by using SOA oriented technology integration. Comprehensive function design, convenient operation, the operation security and stability are the feature of it. Through the application of the platform, the fracturing measures analysis and auxiliary decision-making has been realized, the work efficiency has been improved and at the same time the effective auxiliary analysis tool for fine management of oil field has been provided.