Khan et al., 2024 - Google Patents
Transfer Learning: A Key Approach to Fault Prediction and Extraction in Deep LearningKhan et al., 2024
- Document ID
- 718806395120636243
- Author
- Khan M
- Bery A
- Ali S
- Aldossary S
- Publication year
- Publication venue
- ARMA/DGS/SEG International Geomechanics Symposium
External Links
Snippet
Faults are key subsurface features that significantly influence geomechanics, affecting stress fields and playing a crucial role in hydrocarbon exploration, production, and CO2 storage. The redistribution of stress around faults depends on factors like fault size, orientation, and …
- 238000013459 approach 0 title abstract description 14
Classifications
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- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. analysis, for interpretation, for correction
- G01V1/30—Analysis
- G01V1/303—Analysis for determining velocity profiles or travel times
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. analysis, for interpretation, for correction
- G01V1/36—Effecting static or dynamic corrections on records, e.g. correcting spread; Correlating seismic signals; Eliminating effects of unwanted energy
- G01V1/362—Effecting static or dynamic corrections; Stacking
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- G—PHYSICS
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- G01V1/282—Application of seismic models, synthetic seismograms
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- G01V1/28—Processing seismic data, e.g. analysis, for interpretation, for correction
- G01V1/36—Effecting static or dynamic corrections on records, e.g. correcting spread; Correlating seismic signals; Eliminating effects of unwanted energy
- G01V1/364—Seismic filtering
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- G01V1/34—Displaying seismic recordings or visualisation of seismic data or attributes
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- G01V2210/614—Synthetically generated data
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- G—PHYSICS
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- G01V1/003—Seismic data acquisition in general, e.g. survey design
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- G—PHYSICS
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