Coal seam floor water abundance prediction method based on multi-attribute inversion

A technology of multi-attribute inversion and coal seam floor, applied in the field of geophysical exploration, can solve the problems of complex processing methods and high requirements for original data, and achieve the effect of short calculation time, strong adaptability, and direct inversion.

Inactive Publication Date: 2017-08-29
师素珍
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Problems solved by technology

In terms of lithology and fluid prediction, the wave impedance information provided by post-stack P-wave impedance inversion can no longer meet the requirements of coal seam roof and floor fluid prediction. Due to the high requirements of raw data and complex processing methods, it has not been able to play its due role in coal seam lithology and fluid prediction.

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  • Coal seam floor water abundance prediction method based on multi-attribute inversion

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Embodiment Construction

[0016] Specific embodiments of the present invention will be described in detail below in conjunction with specific drawings. It should be noted that the technical features or combinations of technical features described in the following embodiments should not be regarded as isolated, and they can be combined with each other to achieve better technical effects.

[0017] figure 1 Shown is a flow chart of an embodiment of a method for predicting the water-richness of the coal seam floor based on multi-attribute inversion in the present invention.

[0018] The following will combine figure 1 As shown, an embodiment of a method for predicting coal seam floor water richness based on multi-attribute inversion of the present invention is introduced in detail, which includes:

[0019] Step 101: the step of extracting several seismic attributes from the target curve: a total of 26 seismic attributes are extracted in this area;

[0020] Step 102: The step of mathematically transformi...

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Abstract

The invention provides a coal seam floor water abundance prediction method based on multi-attribute inversion, and belongs to the field of coal exploration. The method comprises the step of extracting multiple seismic attributes; the step of performing mathematical manipulation on apparent resistivity and the seismic attributes and performing correlation intersection so as to acquire sensitive seismic attributes; the step of screening the sensitive seismic attributes to obtain an optimal model; the step of obtaining the apparent resistivity body according to a neural network training model and the three-dimensional seismic data of an area to be predicted; and the step of selecting the datum plane to perform slice extraction of the apparent resistivity body. The method has high adaptability for various seismic data, short calculation time consumption and wide range of application.

Description

technical field [0001] The invention belongs to the field of geophysical exploration, and in particular relates to a method for predicting the water-richness of a coal seam floor based on multi-attribute inversion. Background technique [0002] With the continuous deepening of coalfield mining depth, the requirements for coalfield 3D seismic exploration technology are getting higher and higher. In terms of lithology and fluid prediction, the wave impedance information provided by post-stack P-wave impedance inversion can no longer meet the requirements of coal seam roof and floor fluid prediction. Due to the high requirements of raw data and complex processing methods, it has not been able to play its due role in coal seam lithology and fluid prediction. Contents of the invention [0003] Aiming at the deficiencies of the prior art, the present invention proposes a method for predicting the water-richness of the coal seam floor on the basis of optimizing sensitive attribu...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01V11/00
CPCG01V11/00
Inventor 师素珍
Owner 师素珍
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