Shale oil-based pre-stack elastic parameter combination inversion method and system

Abstract

The invention discloses a shale oil-based pre-stack elastic parameter combination inversion method and system, and the method comprises the steps: obtaining logging data and seismic data; performing rock physical analysis on the target reservoir according to the logging data and the seismic data to obtain a rock physical analysis result of the target reservoir; determining sensitive parameters of the reservoir according to a rock physical analysis result of the target reservoir; and performing frequency domain merging on the intermediate-frequency pre-stack simultaneous inversion data and the high-frequency simulation result to obtain a pre-stack phase control inversion data body. According to the method and the system, the processing modes of different frequency bands in the inversion implementation process are optimized and combined, so that the pre-stack inversion precision is improved, and the inversion longitudinal and transverse resolution is effectively improved; in addition, due to earthquake transverse constraint operation, the inversion result better conforms to the geological law, the spatial structure distribution of the reservoir can be more accurately described, and the method has important application value for shale oil reservoir earthquake prediction.

Description

technical field [0001] The invention relates to the field of seismic exploration, in particular to a combined inversion method and system for pre-stack elastic parameters based on shale oil. Background technique [0002] This section is intended to provide a background or context to embodiments of the invention that are recited in the claims. The descriptions herein are not admitted to be prior art by inclusion in this section. [0003] At present, the exploration and development of shale gas has entered the stage of exploitation with commercial value, while the exploration and development of shale oil is still in its infancy, mainly for the following three reasons: [0004] 1) Different from the marine deposits of shale gas, shale oil is deposited in continental facies, and its sedimentary facies change rapidly, with strong lateral heterogeneity and strong reservoir plasticity. The understanding of the differences in collection properties is not clear enough. [0005] 2)...

AI Technical Summary

Problems solved by technology

From the perspective of the basic principle and implementation process of pre-stack seismic inversion, its convergence accuracy is affected by many factors such as pre-stack well seismic calibration, AVA wavelet, iteration number, etc., resulting in lower inversion accuracy, which cannot meet the requirements of rapid lateral changes and thin interlayers. shale oil quality reservoir prediction

[0006] 3) The currently popular pre-stack high-resolution stochastic inversion is based on the variogram theory. Due to the difficulty in fitting the variogram, the reliability of the high-frequency components of the inversion results is low, the randomness is strong, and the calculation efficiency is low. Big impact on shale oil reservoir prediction

[0007] For the above problems, no effective solution has been proposed

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