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...

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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 acquisi

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