Reservoir thickness prediction analysis method, computer device and storage medium

Abstract

The invention relates to a reservoir thickness prediction analysis method, a computer device and a storage medium. The reservoir thickness prediction uncertainty analysis method comprises: S1, establishing a two-dimensional wedge-shaped mechanism model, and conducting seismic forward modeling on the wedge-shaped mechanism model; S2, displaying a composite record obtained through forward modeling and the wedge-shaped model in an overlapped mode, and determining the maximum thickness and the minimum thickness which can be recognized; S3, establishing a scatter diagram according to the sensitiveseismic attribute value at the drilled well position and the drilled reservoir thickness for intersection analysis; S4, fitting to form a linear formula for predicting the reservoir thickness throughthe seismic attributes, and forming an uncertainty analysis chart for predicting the reservoir thickness through the seismic attributes; S5, performing classified statistics on reservoir thickness prediction relative errors of the drilled reservoir thickness greater than the maximum thickness, the drilled reservoir thickness less than the minimum thickness and the reservoir thickness correspondingto the range between the maximum thickness and the minimum thickness; and S6, forming a reservoir thickness prediction relative error uncertainty analysis chart. According to the method, quantitativecharacterization of uncertainty existing in reservoir thickness prediction based on sensitive seismic attributes is realized, and the prediction precision is improved.

Description

technical field [0001] The invention relates to the technical field of oil and gas field development, in particular to an analysis method for quantitatively evaluating the uncertainty of reservoir thickness prediction in the oil and gas field development process, a reservoir thickness prediction method, computer equipment and a storage medium. Background technique [0002] Reservoirs are the storage space for oil and gas. Only where there are reservoirs can there be oil and gas. The spatial distribution of reservoirs directly determines the reserve scale of oil and gas fields. Therefore, reservoir prediction is an important basis for oil and gas field reserve evaluation and development design. Reservoir thickness is an important quantitative parameter to characterize the spatial distribution of reservoirs. Reservoir thickness prediction results are an important basis for oil and gas field reserve quality analysis, production reserve evaluation, and development well location ...

AI Technical Summary

Problems solved by technology

At present, in the field of oil and gas field development technology, there is no research on the quantitative analysis of the uncertainty of reservoir thickness prediction.

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