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Consolidated non-seismic geophysical and geochemical anomalies oil fuzzy pattern recognition and classification evaluation and software development

Author: ChenShuRang
Tutor: WangWanYin；XuXinZhong
School: Chang'an University
Course: Geological Engineering
Keywords: Geophysical and geochemical exploration of oil and gas Composite anomalies Fuzzy Classification Artificial Neural Networks Pattern Recognition
CLC: P618.130.8
Type: Master's thesis
Year: 2005
Downloads: 126
Quote: 1
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Abstract


Based on the work of non-seismic geophysical and geochemical exploration of oil and gas used in method parameters and more informative, comprehensive abnormal structure is relatively complex, as well as on the consolidated statements often appear abnormal non-quantitative concepts, etc., from the actual job requirements and needs, the use of mathematical tools and practical method of combining work experience in oil and gas geophysical and geochemical anomalies comprehensive evaluation methods carried out some exploration. This aims to find a viable theory, and convenient, the effect is the objective, expressed intuitive integrated oil and gas geophysical and geochemical anomaly evaluation. Comprehensive geophysical and geochemical anomalies in the oil and gas at home and abroad has been a continuous development of evaluation and exploration, predecessors presents a variety of evaluation methods, these methods are proposed integrated oil and gas geophysical and geochemical anomalies played an important objective evaluation role in promoting However, a different approach to some extent, there are limitations, where both advantages, there are also shortcomings, so that the oil and gas geophysical and geochemical anomalies comprehensive evaluation method in the continuous development is a normal phenomenon, in this regard to continue to explore is very necessary. Integrated oil and gas geophysical and geochemical anomalies based on many parameters, informative, unusual complex structure and other characteristics, taking into account the different methods currently demonstrated strengths and weaknesses, combined with the oil and gas geophysical and geochemical anomalies comprehensive evaluation of the actual requirements and needs, we use comprehensive evaluation model the method of composite anomalies were evaluated. Comprehensive evaluation model is composed of integrated information extraction and characterization of abnormal initial model, abnormal fuzzy comprehensive evaluation model of dynamic clustering pattern recognition and artificial neural networks prediction model composed of three basic models. In multivariate mathematical statistics as a tool, through the multi-dimensional information in dimensionality reduction processing to extract the reflected composite anomalies main message of characteristic parameters, with the characteristic parameters in the form of oil and gas geophysical integrated anomalies comprehensive description; an integrated anomaly characteristic parameters based in gray system theory and fuzzy mathematics mathematics means of fuzzy classification and evaluation of composite anomalies; based fuzzy classification results establish a comprehensive abnormal patterns through neural network learning, the establishment of artificial neural network recognition system, the unknown integrated anomaly pattern recognition, realization Integrated oil and gas geophysical and geochemical anomalies forecasts. Carried out using VB language-specific program design, modular structure, easy functional expansion. To ensure completion of the software development of the above evaluation method of the calculation process automatically, the entire evaluation methods a relatively complete system. Through case studies, only shows the paper discusses the evaluation method of the entire evaluation process, and also examined the effect of the application of the method itself.

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CLC: > Astronomy,Earth Sciences > Geology > Of ore deposits > Deposit classification > Fuel deposits > Oil, natural gas
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