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Research And Application Of Seismic Attributes

Posted on:2006-01-21Degree:DoctorType:Dissertation
Country:ChinaCandidate:G M GuoFull Text:PDF
GTID:1110360182456099Subject:Mineral prospecting and exploration
Abstract/Summary:PDF Full Text Request
The paper mainly studies the seismic attribute's extraction and analysis technique, and its application in forecasting fault-block sand-shale reservoir in the region of the Zhaohu nose-like structure of Weibei depressed of Shengli prospecting area in east China. Surrounded by the research procedures physical and geologic meaning of the seismic attribute, and the analysis of relativity and independency of seismic mutiattribute, the paper does some research work as the following five aspects.The first, the paper summarizes the basic working procedure and flowing frame of seismic attribute technique in reservoir geophysics, then generalize the research procedure into four sections: data extraction, data analysis, data conclusion and data explanation. The second, the paper studies the new classification method of seismic attribute according to the characters of geological exploration of complicated fault-block covered oil reservoir in East China, and puts forward the classification method of 5 classes of seismic attribute in the exploration of covered reservoir.The third, the paper detailedly studies non-linear parameter extracting method based on theories of fractal, chaos, mutation and etc. Furthermore, according to the horizon seismic attribute's requirement of signal time window, the paper introduces the small data volume method to extract maximal Lyapunov index in the extent of seismic reservoir. In addition, the paper firstly imports the theory of wavelet transform and higher-order spectrum into the field of extracting seismic attribute parameter, and creatively puts forward two new kinds of seismic attribute parameter: wavelet coefficient and higher-order spectral character.The fourth, the paper studies the seismic muti-attribute's depressed dimension mapping method based on K-L transform and its optimizing forecast strategy based on BP neural network. Then puts forward a new method to auto-adapt the studying efficiency of BP network training, and it can effectively improve the computing efficiency and precision of its mode identification. In the same time, we develop the special software system to extract and analyze seismic attribute and optimizing forecast oil reservoir.The fifth, the paper does some research of practical application of seismic attribute analysis and forecast technique in the region of Zhaohu nose-like structure of Weibei depressed of Shengli prospecting area to forecast the sand-shale reservoir. Moreover, the paper summarizes all kinds of seismic attributes' character and distributing rule in the reservoir layer of second section of Kongdian stratum in eastern area of Weibei, and putsforward 11 reservoir's seismic attribute parameters which can effectively and sensitively reflect reservoir's character. In the end, mark out three prospecting objects of available lithology-structure compound trap and designate the next proposal exploring well position combined with the result of seismic muti-attribute reservoir forecast.
Keywords/Search Tags:3D seismic survey, Seismic attribute, Wavelet transform, High-order spectrum, Non-linear theory, Reservoir forecast, Reservoir description, K-L transform, Neural network, Hidden-form reservoir, Weibei depressed
PDF Full Text Request
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