PATENT CLAIM ANALYSIS

Application Number: 15758559
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-08
Patent Classification: ["702", "014000"]

Abstract:
A coal collapse column identification method and related apparatus that includes acquiring seismic shot gather data in a target region and a seismic wave migration velocity file; calculating a diffraction wave travel time of each piece of single-shot data at different imaging points according to the data; performing Mahalanobis distance calculation processing on each single-shot data and the diffraction wave travel time thereof to acquire a diffraction wave amplitude value sample point of each piece of single-shot data; imaging respectively on a diffraction wave of each piece of single-shot data; and superposing imaging processing results of all the single-shot data corresponding to the seismic shot gather data to obtain a diffraction wave imaging result of the seismic shot gather data so as to facilitate coal collapse column identification according to the diffraction wave imaging result. A diffraction wave corresponding to seismic shot gather data is extracted through a Mahalanobis distance.

Claim (Index 4):
The method according to  claim 3 , wherein the step of performing Mahalanobis distance calculation processing on each of the ranked amplitude sampling point sequences to obtain Mahalanobis distances of all the amplitude sampling points ranked in a preset order in the each of the amplitude sampling point sequences comprises:\n calculating a median value for each of the amplitude sampling point sequences ranked in a preset order through a formula \u03bc x =median{x (1) o ,x (2) o ,L,x (N) o )}, wherein \u03bc x  represents a median value of the amplitude sampling point sequence, median represents a median value operation, x (i) o ,i=1,2,L,N represents the amplitude sampling point sequences ranked in the preset order, and N represents the number of the sampling points in the amplitude sampling point sequence; calculating a square of a median value of absolute value of deviation, for each of the amplitude sampling point sequences ranked in the preset order, through a formula \u03c3 x 2 = ( median i = 1 , 2 , L , N \ue89e \ue89e { \uf603 x ( i ) o - \u03bc x \uf604 } ) 2 , wherein \u03c3 x 2  represents the square of the median value of absolute value of deviation; and\n calculating Mahalanobis distances of all the amplitude sampling points ranked in the preset order in each of the amplitude value sample point sequences, \n d \ue8a0 ( x ( i ) o , \u03bc x ) = [ x ( i ) o - \u03bc x ] 2 \u03c3 x 2 , according to the median value and the square of the median value of absolute value of deviation, wherein d(x (i) o , \u03bc x ) represents the Mahalanobis distance.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 90.0
- Lexical Diversity: 2.36364
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13675699', '13454547', '10989204', '11212063', '13271249']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2283351822749102
- 35 USC 102 Novelty (BERT): 0.5023876024244388
- Combined Prediction Score: 0.2557404242898631
- Mean Citation Score: 227.961344
- Max Citation Score: 235.02913
- Similarity Product: 150.10678932210268

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 0
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test