Non-seismic Oil And Gas Geophysical And Geochemical Anomalies Fuzzy Classification Evaluation And Pattern Recognition Software Development

There are some characteristics in the geophysical and geochemical non-seismic exploration of oil and gas. For example, there are abundant method parameters and information. The structure of integrating anomaly is complex and the express of it has a non-measure characteristic. According as the characteristics mentioned above, we base the need and requirement in the practice work and use an associative method of mathematics and practical experience. We have explored the evaluating method of integrating anomaly in the geophysical and geochemical exploration of oil and gas. Our aim is that looking for an evaluating method with reasonable theory, convenient applies objective effect and intuitive expression.Whether at home or abroad, the devaluating method of integrating anomaly in the geophysical and geochemical exploration of oil and gas is developing and exploring continuously. The multifarious former methods have produced an important promote effect, but have some different restriction. So this kind of development and exploration is normal and necessary.Based on the characteristics of this exploration and the merits and shortages of the method at present, and combined the need and requirement of the anomaly evaluation, we apply the integrated evaluating model to evaluate the integrating anomaly. The integrated evaluating model consists of the initial model, the evaluating model and the forecasting model. The initial model can extract and describe anomaly information. The evaluating model can integrate the fuzzy dynamic clustering of the anomaly. The forecasting model is used pattern recognition by ANN.We apply the mathematical statistics tools and process the multi-dimension information, extract the main parameters of the integrated anomaly characteristics and describe those characteristics parameters roundly. Based on the anomaly characteristics parameters and applied the tools of fuzzy mathematics and grey system theory, we evaluate the integrated anomaly by the fuzzy classification method. According to the results of the fuzzy classification and integrated anomaly pattern, we realize the integrated anomaly forecast of the geophysical and geochemical exploration of oil and gas through the ANN studying, andestablished the ANN recognition system for the pattern recognition of the integrated anomaly. We program by VB language and modularize the program structure. Thus the program improves easily. The software can realize the computed procedure of the evaluated method. So we got the integrated system.Through the example analysis, it not only shows the all evaluated procedure, but also examines the applied effect of this method in this paper.