Seismic random inversion method and device based on multi-point geostatistical prior information

Abstract

The invention discloses a seismic random inversion method and device based on multi-point geostatistical prior information. The method comprises the following steps of determining a to-be-inverted profile, well data and a training image according to a known three-dimensional geological model; determining a rock phase probability distribution model of the to-be-inverted profile according to the well data and the training image; under the constraint of the rock phase probability distribution model, determining a prior probability density function of elastic parameters corresponding to a to-be-inverted seismic trace on the to-be-inverted profile according to the well data and a probability density function and a variation function of the elastic parameters corresponding to different rock phases obtained by performing petrophysical statistics on the well data; and in the Bayesian framework, determining an inversion result according to the prior probability density function of the elastic parameters obtained under the constraint of the rocky phase probability distribution model and seismic data. The seismic random inversion method and device provide more accurate prior information for inversion, are beneficial to improve the accuracy and resolution of the inversion result, and make the inversion result more in line with actual production requirements.

Description

technical field [0001] The invention relates to the field of petroleum exploration, in particular to a seismic random inversion method and device based on multi-point geostatistical prior information. 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] With the development of society and economy, the country's demand for energy is getting higher and higher. Since the current development of new energy cannot meet the energy demand, the exploration and development of traditional energy (for example, petroleum) is still very important. In the early stage of petroleum exploration, under the guidance of the "anticline theory", the found structural oil and gas reservoirs such as anticline oil and gas reservoirs were developed. Sexual oil and gas reservoirs. Due to the complex distri...

AI Technical Summary

Problems solved by technology

[0010] The embodiment of the present invention provides a seismic random inversion method based on multi-point geostatistical prior information, which is used to solve the problem that the existing technology cannot simultaneously simulate continuous and discrete parameters of complex geological structures, and then provide seismic inversion The technical problem of providing more accurate a priori information, the method includes: according to the known 3D geological model, determine the section to be inverted, well data and training images; according to the well data and training images, determine the rock Facies probability distribution model; under the constraints of the lithofacies probability distribution model, according to the well data and the probability density function and variation function of the elastic parameters corresponding to different rocks obtained by the petrophysical statistics of the well data, determine the Invert the prior probability density function of the elastic parameters corresponding to the seismic trace; under the Bayesian framework, determine the inversion result according to the prior probability density function of the elastic parameters obtained under the constraints of the lithofacies probability distribution model and seismic data

[0011] The embodiment of the present invention also provides a seismic random inversion device based on multi-point geostatistical prior information, which is used to solve the problem that the existing technology cannot simultaneously simulate continuous and discrete parameters of complex geological structures, and then provide seismic Inversion provides more accurate prior information technical issues, including: data acquisition module, used to determine the section to be inverted, well data and training images according to the known 3D geological model; lithofacies prior information determination module, used Based on the well data and training images, determine the lithofacies probability distribution model of the section to be inverted; the elastic parameter prior information determination module is used to carry out petrophysical statistics according to the well data and the well data under the constraints of the lithofacies probability distribution model The probability density function and variation function of the elastic parameters corresponding to different rocks are obtained, and the prior probability density function of the elastic parameters corresponding to the seismic traces to be inverted on the section to be inverted is determined; the inversion module is used for Bayesian Under the framework, the inversion results are determined according to the prior probability density function of the elastic parameters obtained under the constraint of the lithofacies probability distribution model and the seismic data

[0012] The embodiment of the present invention also provides a computer device to solve the technical problem that the prior art cannot simultaneously simulate the continuous and discrete parameters of complex geological structures, thereby providing more accurate prior information for seismic inversion , the computer equipment includes a memory, a processor, and a computer program stored on the memory and operable on the processor. When the processor executes the computer program, the above-mentioned seismic random inversion method based on multi-point geostatistical prior information is realized.

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