Method for automatically and rapidly partitioning coal rank types by utilizing logging information computer

Abstract

The invention relates to a method for automatically and rapidly partitioning coal rank types by utilizing a logging information computer. The method comprises the steps of: firstly, selecting different coal rank types of sensitive logging parameters; then constructing four combined logging parameters of an apparent wave impedance, a compensation neutron increment coefficient and an electrical resistivity difference index by sufficiently utilizing interval transit time, a compensation density, a compensation neutron and an electrical resistivity; then establishing a three-dimensional coal rank type identification plate; then establishing a coal rank type discriminatory equation; and finally, identifying the coal rank types. According to the method disclosed by the invention, based on logging information of coal rocks, such as natural gamma, a natural potential, the electrical resistivity, the interval transit time, the compensation density, the compensation neutron and the like and on the basis of analyzing different coal rank types of sensitive logging parameters, the combined logging parameters of the coal rocks, such as the apparent wave impedance, the compensation neutron increment coefficient, the electrical resistivity difference index and the like, are established, and by the combined logging parameters, the three-dimensional coal rank type identification plate is constructed, and the plate is programmed so as to partition the coal rank types and provide drilling logging technical support for safety mining of a coal mine and development of a coal bed gas.

Description

technical field [0001] The invention belongs to the drilling logging evaluation technology in the mining process of coal mines and coal bed methane, in particular to a method for automatically and rapidly classifying coal rank types by computer using logging data. Background technique [0002] In order to accurately classify coal rank types, the object of the present invention is to provide a method for automatically and rapidly classifying coal rank types by computer using well logging data. The existing methods for classifying coal rank types are mostly based on the vitrinite reflectance value tested in the coal core laboratory, or using logging data to calculate the vitrinite reflectance of coal rocks to classify coal rank types. Because coal core data are very limited, well logging data are often used to classify coal rank types in actual production. However, because the vitrinite reflectance of coal rocks is affected by many geological factors, it is difficult to accur...

AI Technical Summary

Problems solved by technology

The vitrinite reflectance measurement and homing of coal cores have been carried out, and then the crossplot of two logging parameters of different coal ranks has been established. However, this method highlights the problem that the two parameters are difficult to accurately classify coal rank types. In addition, this method is not sophisticated. Sensitive logging parameters of different coal ranks, not to mention weakening or reducing the influencing factors of logging parameters, which brings inconvenience to the safe mining of coal mines and the efficient development and construction design of coalbed methane

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