Prediction method for mineral modulus and pore structure

A technology of pore structure and prediction method, applied in geophysical measurement, measuring device, seismic measurement, etc., can solve the problem of not being able to predict rock pore structure and mineral modulus at the same time

Inactive Publication Date: 2016-03-23
SOUTHWEST PETROLEUM UNIV
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Problems solved by technology

[0004] The object of the present invention is to provide a method for predicting mineral modulus and pore structure, aiming at s

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  • Prediction method for mineral modulus and pore structure
  • Prediction method for mineral modulus and pore structure
  • Prediction method for mineral modulus and pore structure

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[0044] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0045] The present invention continuously optimizes these randomly generated petrophysical parameters by citing the global optimization algorithm of simulated annealing: mineral matrix bulk modulus, shear modulus, five kinds of pore aspect ratios, and the percentages corresponding to the five kinds of pore aspect ratios, until The two objective functions between the bulk modulus and shear modulus of the rock at known saturation and the effective bulk modulus and shear modulus of the rock obtained by using the KT model both satisfy less than or equal to 1%. And by using simulated annealing global optimization algorithm to cont...

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Abstract

The invention discloses a prediction method for a mineral modulus and a pore structure. According to the prediction method, rock physical parameters that include a mineral matrix volume modulus, a shear modulus, five kinds of pore aspect ratios, and percentage compositions corresponding to the five kinds of pore aspect ratios and are generated randomly are optimized by introducing a simulated annealing global optimization algorithm until two objective functions obtained based on comparison between the rock volume modulus and the shear modulus under known saturability and the rock effective volume modulus and the shear modulus that are obtained by using a KT model are less than or equal to 1% simultaneously; and the rock physical parameters are updated continuously by using the simulated annealing global optimization algorithm until the parameters are kept to be stable. Therefore, various rock physical parameters are obtained precisely based on inversion; and high-precision prediction is carried out directly to obtain the total mineral matrix volume modulus and shear modulus as well as the pore aspect ratios and the percentage compositions in rock simultaneously.

Description

technical field [0001] The invention belongs to the technical field of prediction of rock physical parameters, in particular to a method for predicting mineral modulus and pore structure. Background technique [0002] Rocks are composed of pores of various shapes and mineral matrices. Some of the prediction methods for rock physical parameters are predicting the pore structure, while others are predicting the elastic modulus of the mineral matrix. There is no prediction method that can simultaneously Predict the pore structure and mineral modulus of rocks. Moreover, the prediction method of petrophysical parameters is generally based on the Gassmann model. The Gassmann model only considers the pores in the rock as spherical pores, and ignores other flat and fractured pores. The rock in the reservoir is composed of pores, fluids, mineral matrix, shale and some cements. The rock physics model can be used to describe various mathematical and physical relationships between thes...

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Application Information

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IPC IPC(8): G01V1/00G01V1/30
CPCG01V1/008G01V1/306G01V2210/62G01V2210/6244
Inventor 彭达丁峰尹成范廷恩刘伟罗浩然
Owner SOUTHWEST PETROLEUM UNIV
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