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Fine structure exploration and 3D quantitative evaluation model
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AI
DOI：10.1007/s10064-024-03890-9.png)
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Abstract
En 中文
The accurate exploration and 3D quantitative evaluation of faults in deep coal-bearing strata in complex structure areas is still significant technical challenge. This study improves the exploration accuracy by developing a set of high-precision 3D seismic exploration and interpretation technology systems to complete the accurate exploration of faults in deep coal-bearing strata. Based on high-precision 3D seismic data, the seismic attributes of 3rd coal seam are fused using the variational mode decomposition and support vector machine (VMD-SVM), and 3rd coal seam attribute fusion (SAF) effect map is generated. The fault density (Fd), fault fractal dimension (Ff), fault strength index (Fs), and fault pinch out point or intersection density (FP) are selected as the main factors of fault complexity, and the fault influence index model (FII) is constructed by using the game theory combination weighting. The 3D evaluation model of fault complexity (3D-FII) is constructed by using the regression calculation of 3D space modeling in GMS software. The core recovery rate (CRR) and 3rd coal seam SAF results verify the high accuracy and applicability of the 3D-FII model. The 3D-FII model is cut, rotated, and eliminated. Dividing the model into three zones: complex (FII >= 0.4), moderate (0.4 > FII >= 0.2), and simple (FII < 0.2) according to the complexity level of the faults, and the 3D partition display is realized. The 3D-FII model realize the quantitative evaluation of the fault complexity of coal-bearing strata from 2D to 3D, which is of great significance to the prevention of fault water disaster in complex structure area.
Keywords:
Deeply buried coal-bearing strata
High-precision 3D seismic
SAF
Fault complexity
3D quantitative evaluation
GMS
Journal
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4.2
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5.2K
Citations:
1.6W
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