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The Complex Structure Of The High And Steep Reservoir And Gas Water Earthquake Prediction Method And Applied Research

Posted on:2004-08-30Degree:DoctorType:Dissertation
Country:ChinaCandidate:Z M WuFull Text:PDF
GTID:1110360152456370Subject:Mineral prospecting and exploration
Abstract/Summary:PDF Full Text Request
In the paper, the author mainly researched the reservoir and gas/water prediction of the high steep complicated structures and their applications. The method study work includes three aspects: the first is the accurate imaging techniques for the reservoirs of high steep structures, including the effects of the lateral variation of near surface on the dynamics characters of the reservoirs and its correction methods, the migration techniques study for severe near surface relief and strong lateral and vertical variations of the velocity field; the second is effective inversion and extraction technique study of the reservoir parameters, including high resolution inversion techniques study of the reservoir parameters and self-adaptive inversion technique study of the reservoir; the third is gas reservoir detection technique study, including the thorough studies of AVO inversion techniques and attribute extraction techniques of the reservoir attribute parameters, the application study is focused on the reservoir and gas/water prediction of the oolitic beach gas reservoirs in high steep complicated structure in East Sichuan. The following achievements and knowledge are gained through methods and application studies: first, the accurate imaging technique of the reservoir in high steep complicated structure requires surface consistent processing and the migration imaging of the complicated structures well. Secondly, the reservoir and gas/water prediction creates the need for high resolution self-adaptive inversion technique of the reservoir parameters, the paper presented a new high resolution self-adaptive inversion technique of seismic parameters based on neural network-BPI, its application effects are very good. Thirdly, the accurate imaging of high steep complicated structures and effective inversion of the reservoir parameters needs extract accurate seismic wavelet, but the prerequisites of the existing wavelet extraction methods are limited (assuming reflection coefficient is a independent random procedure statistically, noise is white noise, and the wavelet is minimum phase), so the paper proposed the evaluation method of the seismic wavelet of non-minimum phase that is based on trice spectrum -cumulants equation, and the evaluation method of the seismic wavelet that is based on bi-spectrum. The paper also presented a new non-linear global optimization algorithms-chaos-genetic algorithm to estimate waveletusing high-order statistics. Fourthly, the prestack time migration is introduced in AVO inversion to improve AVO techniques to meet the needs of the gas/water prediction of high steep complicated structure. Fifthly, comprehensive application of the seismic attributes parameters can effectively raise successful rate of the reservoir and gas/water prediction. The paper not only summarized and presented the auxiliary methods of the seismic attribute parameters, but also presented the methods that apply attribute parameters of high-order spectrum of the seismic signal to detect oil and gas. Sixthly, the application study of the reservoir and gas/water prediction of oolitic beach in high steep complicated structures in East Sichuan reveals that the reservoir and gas/water prediction is a systemic engineering that needs integrate and apply the geologic, cores, logging and seismic data. A set of seismic prediction necessary techniques is presented for oolitic beach reservoir and gas/water prediction have popularizing values.
Keywords/Search Tags:High steep complicated structure, Reservoir prediction, Wavelet extraction, High-order statistics, AVO, Attribute extraction, Neural network inversion, Gas/water recognition, Oolitic beach gas reservoir
PDF Full Text Request
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