Thin bed inversion method based on model quantitative compensation

Abstract

The invention discloses a thin bed inversion method based on model quantitative compensation. The thin bed inversion method comprises the following steps that S1, the objective interval extremum datavolume and the visual waveform width data volume are extracted based on the post-stack pure wave seismic data, the CH and CD data volumes are solved according to the relationship between the extremumdata volume and the visual waveform width data, and the correlation correction coefficient data volume is established for different distribution intervals; and S2, a geological model is established through integration of the logging data, the seismic data, the interpretation data and the logging interpretation data, the geological model is corrected according to the correction coefficient data volume extracted in the last step, inversion of the geological model and the corrected geological model is performed, the difference is analyzed and compared, the rationality of the correction effect isanalyzed, the inversion result is outputted, the residual error of the corrected model inversion result is obviously less than the residual error of the geological model and thus the inversion effectcan be effectively enhanced.

Description

technical field [0001] The invention relates to the technical field of oil and gas exploration, in particular to a thin layer inversion method based on model quantitative compensation. Background technique [0002] With the continuous deepening of oil and gas exploration and the continuous improvement of exploration level, the focus of exploration has shifted from structural oil and gas reservoirs to non-structural oil and gas reservoirs such as lithologic oil and gas reservoirs. Among them, seismic exploration is an important method to find and distinguish lithologic oil and gas reservoirs. Seismic inversion technology has always been a core technology in seismic exploration. Its purpose is to use seismic reflection data to invert the distribution of underground wave impedance or velocity. Estimate reservoir parameters, perform reservoir prediction and reservoir description, and provide reliable basic data for oil and gas exploration. Seismic wave impedance inversion is a ...

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Problems solved by technology

(3) The scales of well logging data and seismic data are very different, and their standard deviation values ​​are not on the same order of magnitude. To correct this kind of dispersion error, it is necessary to do a lot of smoothing on the well logging data, and a lot of information is lost , will lead to a large error in the discriminative stage

(4) There are multiple solutions in the wave impedance solution in the frequency domain outside the wide frequency band of the source wavelet, and the constraint conditions are not accurate, which cannot reduce the problem of multiple solutions in the inversion

Although the research on thin reservoirs has a history of more than 40 years, there is still a broad research space for the improvement of the ability to distinguish and identify thin layers

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