Method for evaluating reservoir-cap combination and method for predicting reservoir productivity

Abstract

The present invention proposes a method for evaluating reservoir-cap combinations and a method for predicting reservoir productivity. The evaluation method includes: obtaining imaging data images; using logging curves to determine the depth distribution range of reservoirs and caprocks; The depth distribution range of the cover layer is scaled to the imaging data image to determine the distribution of the reservoir and the cover layer on the imaging data image; adjust the chromatogram value of the reservoir layer on the imaging data image, and record the chromatogram of the reservoir layer when the boundary of the reservoir layer is clearly displayed value, and use this chromatogram value as the threshold value of the reservoir; adjust the chromatogram value of the cap layer on the imaging data image, record the chromatogram value of the cap layer when the boundary of the cap layer is clear, and use this chromatogram value as the threshold value of the cap layer; The threshold value of the reservoir and the cap rock threshold corresponding to the reservoir are combined to form a threshold combination, and the reservoir-cap combination is evaluated by the threshold combination. The invention has higher evaluation accuracy on the storage-cap combination, and the method is simpler.

Description

technical field [0001] The invention relates to the field of exploration and development of oil and gas reservoirs, in particular to a method for evaluating reservoir-cap combinations and a method for predicting reservoir productivity. Background technique [0002] In the prior art, it is generally only the research on the reservoir or the evaluation on the caprock, and there are relatively few studies on the integration of reservoir-caprock assemblages. Through research, it is found that a small amount of well logging methods to evaluate reservoir-caprock assemblages mainly use reservoir and caprock physical property parameters and in-situ stress parameters to evaluate reservoir and caprock quality, among which physical property parameters are mainly porosity, permeability, and hydrocarbon saturation ; In-situ stress parameters mainly consider cap rock breakthrough pressure. Some methods also take into account the thickness of the reservoir and caprock and the lithology of...

AI Technical Summary

Problems solved by technology

[0005] The present invention aims at at least solving the technical problems existing in the prior art, and particularly innovatively proposes a method for evaluating reservoir-cap combination, so as to solve the problem that the current reservoir-cap combination evaluation method is complicated and has low accuracy

[0006] The present invention also provides a reservoir productivity prediction method to solve the problem that the current reservoir productivity prediction method is complicated and has low accuracy

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