Research On The Intelligent Interpretation And Evaluation Of Geochemical Data

Along with the development of logging technology, the application of computer intelligence, intelligent logging interpretation evaluation system is formed. Through optimized the application of all kinds of logging data and logging data in the oil and gas’ s exploration and development, and overcomed the interference caused by data for intelligent interpretation evaluation, this is the next urgent problem needed to solve. Analysis the method of neural network and fuzzy reasoning and introduce to the oil and gas reservoir parameter prediction, not only can optimize application mode, and overcome the data logging data to forecast evaluation’s interference, at the same time, through neural network and fuzzy reasoning algorithm, and synthetically use a variety of logging and logging data, according to the lithology, electrical, physical property and oil content characteristics, to make qualitative evaluation of laminar liquid storage and its industrial value, it is the completion and testing horizon determined to provide important basis for decision-making. In the field of the logging technology, because of the type and format of data is various, the analysis and operation mode is also uneven, and short of an unified data normalized method, through the improvement and optimization of neural network algorithm, to solve the lack of suitable method for logging data processing in this field, and appliced cases for reference.According to the above problem, this article based on the geochemical data normalization method combining with neural network and fuzzy reasoning algorithm to predict the reservoir parameters of oil and gas layer, realize to improve the rate of identification and evaluation of oil and gas geochemical data. Finally, through the application of the system, on the one hand, predicting oil and gas production for policymakers, on the other hand, providing a reference for the application of neural network in engineering logging. The specific content is as follows:1. This article obtains from the logging geochemical data characteristics, a detailed analysis of the data normalization method, and established geochemical data normalization method of the logging, which compared the characteristics of different data, its advantages and disadvantages of data normalization method, for logging interpretation of oil and gas exploration data normalization processing provides a unified standard; Logging geochemical data normalization processing method research for logging interpretation support integration system provides data for the development of the preparation conditions, for the identification and evaluation and reservoir parameter prediction accuracy of oil and gas provides the specification of the data.2. In the logging support software at home and abroad are compared, complement each other, on the basis of application of this article to develop the oil and gas exploration of logging data normalization processing method, and application was designed and implemented a variety of logging parameters real-time integrated interpretation evaluation after normalization processing. Through to the normalization of data, the parameter optimization, at the same time as the intelligence of the logging interpretation evaluation software provides the beneficial reference.3. On the reservoir parameter forecast capacity, according to the in-depth study of mechanism of chart drawing, mathematical expressions to describe interpretation chart value area; The research development of unconventional reservoir interpretation chart and model; Set up each individual interpretation and comprehensive interpretation methods; And share the underlying database and transmission system integration platform.To sum up, through the design geochemical data normalization treatment, the complete integration of logging geological engineering support system, one is solved in the field of oil and gas exploration and development analysis method is various and efficiency not high question, the second, through the platform of the algorithms library and putted forward integration, using visualization technology, can fully excavate the value of the precious resources of oil and gas exploration and development data. The third, it is beneficial to integration of geological logging system construction in the process of logging interpretation evaluation intelligent level of ascension, beneficial to the production operation and scientific management decision.