Research And Applicationof Reservoir Prediction And Hydrocarbon Detection Of All Digital Seismic Data

The vast majority of the China’s oil and gas resources exist in Paleozoic, Mesozoic, or Cenozoic sedimentary basins, and the reservoir is relatively compact, with rapid spatial variation and it is very difficult for seismic exploration. With the gradual depletion of the eastern tectonic oilfield resources, western hidden reservoir exploration area is gradually becoming prominent. The geological conditions of hidden type lithologic reservoir are usually complex with compact lithology, and are difficult for conventional seismic techniques to solve the problem of effective reservoir prediction.According to reservoir prediction mechanism and needs, recording all kinds of signals truly with a single point of high-density digital detector sampling, obtaining high-quality pre-stack CMP gathers with preserved amplitude processing, taking full advantage of the wide bandwidth and wealth of high and low frequency by reservoir prediction and hydrocarbon detection techniques of pre-stack and post-stack,especially pre-stack AVO attribute analysis, pre-stack seismic inversion technology, the problem of effective reservoir recognition is been solved to a large extent based on All-digital seismic exploration.This thesis takes WSZ3D all-digital work area of Sulige gas field as for examples for the innovative progress, the following is achieved:Using fine fluid substitution and AVO forward simulation techniques to study the AVO classification characteristics of WSZ, that those AVO types are diversity, not as Sulige gas field’s pure class Ⅲ. It is the first time to use AVO attribute inversion and crossplot technique based on the Hilterman equation to detect hydrocarbon of gas zone He-8in WSZ area, and the testing results are obvious.It is the first time to use highlight body absorb technique to obtain Favorable gas areas. To Filter seismic attributes and describe reservoir by SVD in Continental facies strata.Targeted static correction, denoising and AVO gathers processing (high dynamic correction, multiple wave attenuation, phase correction, random noise attenuation) and other innovative technologies, make lithology and gas prediction becomes possible based on all-digital seismic data.Using a variety of combination of elastic parameters on the sensitivity analysis of the gas layer, optimizing the sensitive parameters of the effective reservoir, carrying out a variety of AVO attributes and pre-stack elastic parameter inversion studies, pre-stack and post-stack joint reservoir prediction and hydrocarbon detection technologies, provide technical support for the effective reservoir prediction and hydrocarbon-rich region evaluations. Actual prediction conforms the results of drilling, and meets the high level of consistent with the geology is WSZ. This thesis provides a more complete technique sequence of all-digital seismic reservoir prediction application.