Prediction method and device of thin reservoir stratums

Abstract

The invention provides a prediction method and device of thin reservoir stratums. The method comprises steps of according to -90 degree phase position seismic data, time-depth relation curves of a target well and reservoir stratum characteristic curves, determining positions of the thin reservoir stratums; through wavelet time frequency spectrum, the time-depth relation curves of the target well and the positions of the reservoir stratums, determining a target interference frequency; according to the determined target interference frequency, generating target frequency division data through methods of wavelet transform and the like; and through the target frequency division data and a reference layer, generating frequency lowering stratum section data. The frequency lowering stratum section data clearly describes the distribution range of the thin reservoir stratums, so a problem of inaccurate prediction results of section ranges caused by interference of the thin reservoir stratums issolved and prediction precision of the thin reservoir stratums is improved. According to the invention, a research idea which is completely different from the traditional vertical resolution thin stratum is provided; and a novel thin reservoir stratum prediction technology is provided, which is a major breakthrough in the aspects of thin reservoir stratum prediction of seismic sedimentology. By use of each embodiment of the invention, accuracy and precision of prediction of reservoir stratums are improved.

Description

technical field [0001] The application belongs to the technical field of petroleum exploration, and in particular relates to a thin reservoir prediction method and device. Background technique [0002] Thin reservoirs are the main storage space for lithologic-stratigraphic oil and gas reservoirs in continental basins in my country. The thickness of reservoirs is generally less than a quarter of the wavelength of the seismic wavelet. The interference of adjacent layers is the fundamental reason why conventional seismic data cannot identify thin reservoirs. [0003] In the existing technology, there are mainly two types of technologies for thin reservoir prediction. One is: using inversion technology to vertically distinguish thin reservoirs and adjacent layers to predict thin reservoirs. Since the inversion technology cannot directly improve the resolution, it is necessary to use well Therefore, the method has a strong multiplicity of solutions, and the prediction accuracy of...

AI Technical Summary

Problems solved by technology

Another technique is to predict thin reservoir laterally through sensitive seismic attributes or stratigraphic slice sequence analysis, where the sensitive seismic attributes are searched for the best seismic attributes through well-seismic intersection analysis, which is a statistical relationship and has certain limitations; through analysis The stratigraphic slice sequence can highlight the target reservoir, but it cannot avoid the interference of adjacent layers. In the case of complex thin interbeds, the interference of adjacent layers may even cover up the target reservoir, making the target reservoir unrecognizable

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