Patent US 8,553,497

Patent №

US 8,553,497

Granted

Owner

Lab

AI components

1

ml

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

12994543

The invention is a method to predict surface-wave waveforms (306) and subtract them (307) from seismic data. Prediction is done by estimating a set of surface-consistent components (transfer functions in the frequency domain or impulse responses in time domain) that best represent changes in the waveforms for propagation along the surface from source to receiver (303). The prediction uses a mathematical expression, or model, of the earth's filtering effects, both amplitude and phase, as a function of frequency. The desired surface-consistent components are model parameters, and model optimization is used to solve for the surface-consistent components. The surface-consistent components may include filter transfer functions for each source location, each receiver location, and for propagation (302) through each region (301) of the surface that exhibits lateral variation.

Machine learningG01V 1/00G01V 1/364G01V 2210/20G01V 2210/32G01V 2210/3246

AI classification

Machine learning0.69
Evolutionary computation0.29
Planning0.26
Vision0.08
AI hardware0.04
Natural language0.00
Speech0.00
Knowledge representation0.00
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