Image simulation method based on continuous multiple-point geostatistics method, soft data and hard data

A technology of image simulation and statistical method, applied in seismic signal processing and other directions, it can solve the problems of unable to correctly reflect the correlation of two points in space, difficult to characterize the geometric shape of spatial structure, difficult to characterize the geographical objects of long-distance curve shape and so on.
CN101726754AInactive Publication Date: 2010-06-09SHANGHAI SECOND POLYTECHNIC UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANGHAI SECOND POLYTECHNIC UNIVERSITY
Publication Date
2010-06-09
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses an image simulation method based on a continuous multiple-point geostatistics method, soft data and hard data. For the prediction simulation of permeability images, soft data and hard data are comprehensively utilized to provide a method simulating permeability distribution by using the continuous multiple-point geostatistics method so as to obtain a simulation result similar to the structure characteristics of training images. Compared with the condition that only hard data is used and condition data is not provided, the invention has the highest simulation precision when using soft data and hard data and has minimum CPU time and memory consumption. Compared with the two-point geostatistics method, the continuous MPS method can simulate permeability images more accurately, so that the invention can be widely applied to the application development fields, such as geothermal energy, oil and natural gas fields, coal bed gas and the like.
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Description

technical field

[0001] The invention relates to an image simulation method based on continuous multi-point geostatistical method and soft and hard data. Background technique

[0002] Permeability is closely related to the internal structure of rocks and formations, and it is an important parameter to characterize the internal fracture network of rocks and formations. Therefore, it is of great significance to understand the distribution characteristics of formation permeability for the development of geothermal energy, oil and gas fields and coalbed methane. Since geostatistics can perform reservoir characterization and modeling, it can simulate and predict the distribution characteristics of variable values ​​in unknown areas. The traditional two-point geostatistics is mainly used in two aspects in reservoir modeling: first, applying various kriging methods to establish deterministic models; second, applying various stochastic modeling methods to establish predictable model...

Claims

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