Generalized extremum distribution-based prestack non-Gaussian AVO inversion method
A generalized extremum and inversion technique, applied to seismology, measuring devices, instruments, etc. for logging records, can solve problems such as not considering the prior distribution of reflection coefficients
Active Publication Date: 2019-12-13
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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[0021] In order to solve the problem that the existing AVO inversion method based on the Bayesian framework only considers the prior distribution of the noise in the seismic data and does not consider the prior distribution of the reflection coefficient, etc., the present invention uses the generalized extreme value distribution to characterize the reflection coefficient and based on the Bayesian inversion framework, a pre-stack non-Gaussian AVO inversion method based on the generalized extreme value distribution is proposed. Compared with the method based on the Gaussian assumption, the accuracy has been significantly improved, and the obtained results Can greatly improve the success rate of drilling in the process of oil and gas exploration and development
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[0060] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0061] Such as figure 1 As shown, a pre-stack non-Gaussian AVO inversion method based on generalized extreme value distribution includes the following steps:
[0062] S1. Analyze the elastic parameters of shale reservoirs and the distribution characteristics of noise in pre-stack seismic data based on shale gas drilling and logging data and pre-stack seismic data;
[0063] S2, under the framework of AVO inversion based on Bayesian theory, construct the AVO inversion objective function comprising the statistical distribution constraint of reflection coefficient;
[0064] S3, using the generalized ...
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The invention discloses a generalized extremum distribution-based prestack non-Gaussian AVO inversion method. The method comprises the following steps that: the elastic parameters of a shale reservoirand the distribution characteristics of noises in pre-stack seismic data are analyzed; an AVO inversion objective function containing reflection coefficient statistical distribution constraints is constructed; the statistical distribution of reflection coefficients is described through generalized extremum distribution; and the AVO inversion objective function is solved through an improved particle swarm algorithm. According to the method of the invention, the generalized extremum distribution is adopted to represent the non-Gaussian characteristic of the reflection coefficients. The eneralized extremum distribution-based prestack non-Gaussian AVO inversion method is provided based on a Bayesian inversion framework. Compared with a Gaussian hypothesis-based method, the method of the invention is obviously improved in precision. With the method of the invention adopted, obtained results can greatly improve the success rate of well drilling in an oil and gas exploration and developmentprocess.
Description
technical field [0001] The invention belongs to the technical field of seismic data inversion, in particular to a pre-stack non-Gaussian AVO inversion method based on generalized extreme value distribution. Background technique [0002] In oil and gas reservoir prediction and reservoir description, we often use elastic parameters such as compressional and shear wave velocity, bulk density, Poisson's ratio, Young's modulus, bulk modulus, and shear modulus to describe the lithological characteristics of underground media. . Pre-stack seismic inversion can more accurately invert the elastic parameters of the target layer in the case of less drilling data. By adding constraints and other means, we can further improve the accuracy of pre-stack seismic inversion, which is conducive to the fine description of shale gas reservoirs, and is of great significance to promote the low-cost development and utilization of shale gas. AVO (Amplitude variation with offset, amplitude variatio...
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Login to View More IPC IPC(8): G01V1/30G01V1/40
CPCG01V1/30G01V1/306G01V1/307G01V1/40
Inventor 蔡涵鹏秦情胡光岷
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA