Real-time visualization method for hydrate permeability correlation analysis and model prediction

A technology of association analysis and model prediction, applied in the directions of visual data mining, structured data retrieval, structured data browsing, etc., can solve the problem of low data processing efficiency, inability to obtain model comparison results in real time, lack of human-computer interaction methods, etc. problem, to achieve the effect of saving computing work

Pending Publication Date: 2021-12-24
DALIAN UNIV OF TECH
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Problems solved by technology

[0004] At present, the following problems exist in the data analysis and model matching research of hydrate permeability: 1) The lack of data merging and analysis functions makes it difficult to realize the regularity of permeability changes in specific areas and the difference analysis of permeability changes

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  • Real-time visualization method for hydrate permeability correlation analysis and model prediction
  • Real-time visualization method for hydrate permeability correlation analysis and model prediction
  • Real-time visualization method for hydrate permeability correlation analysis and model prediction

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Embodiment Construction

[0018] Specific embodiments of the present invention will be described in detail below in conjunction with technical solutions and accompanying drawings.

[0019] Data substitution and model comparison: Import the raw hydrate saturation data from the hydrate detection and collection site or laboratory, and substitute them into the five permeability model calculation formulas of Masuda, Patchy, G-C, P-F and Hybrid carried by the software, and use the least square method The principle and iterative method calculate the most suitable fitting parameters of different models under the original data of hydrate saturation (the particle encapsulation (G-C) model and the pore filling (P-F) model do not need to calculate the fitting parameters, and the parameters are fixed values) , substitute the fitting parameters into the corresponding model, and display the calculated model curve and original data points in the two-dimensional coordinate system, such as figure 2 shown. According to...

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Abstract

The invention discloses a real-time visualization method for hydrate permeability correlation analysis and model prediction, and belongs to the field of energy and the related fields of underground fluid flow and porous medium flow. The method has two main functions of original data processing and model comparative analysis. The method can meet various scientific research requirements of hydrate detection and collection sites, laboratories and the like. According to the method, optimal fitting calculation of a hydrate sediment permeability model is completed based on hydrate original saturation and permeability data imported from the outside, a visual permeability model fitting curve, a permeability fitting result and a root-mean-square error calculation result are obtained, and an optimal model is optimized according to the error result. The combination and display of multiple groups of original data are supported. According to the method, quick visualization processing can be carried out on shipborne field data and laboratory measurement data, calculation of optimal model fitting parameters and screening of optimal models are supported, and the method has the advantages of being simple and easy to use, high in automation degree, low in software and hardware dependency and the like.

Description

technical field [0001] The invention relates to a real-time visualization method for correlation analysis and model prediction of hydrate permeability, which belongs to the field of energy and related fields of underground fluid flow and porous medium flow, such as the fields of natural gas and hydrate exploitation, and requires on-site hydrate The research field of visual analysis of permeability data and acquisition of permeability prediction model. Background technique [0002] Natural gas hydrates contain huge amounts of methane resources, which are of great significance to the global carbon cycle and energy storage. The permeability of the hydrate reservoir determines the fluid migration law and the heat and mass transfer process in the reservoir, and is an important reservoir physical property that affects the methane leakage flux, the occurrence and distribution of hydrates, and the gas production efficiency of hydrate reservoirs. Therefore, the accurate prediction o...

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Application Information

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IPC IPC(8): G06F30/20G06F16/26G06T11/20G06F113/08
CPCG06F30/20G06F16/26G06T11/206G06F2113/08
Inventor 王大勇翁昊刘正阳
Owner DALIAN UNIV OF TECH
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