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Description
Input data
Input model
Delta M picking gather
Delta Vrms picking item
Original model
Parameters
Construct V0 map from model
V0
Fast marching step
Number of global iterations
Step scale
Regularization type { Current update, Cumulative update, Result model }
Solver { LSQR, Split-Bregman }
Number of LSQR iterations
LSQR Tikhonov lambda X/Y
LSQR Tikhonov lambda Z
Split-Bregman global iterations
Split-Bregman local iterations
Split-Bregman epsilon X/Y
Split-Bregman epsilon Z
Grid parameters
Min solver depth
Max solver depth
Update taper size
Source line step X/Y
Min aperture
Max aperture
Variable grid step X/Y
Variable grid step Z
Equation step Z
Offset step
Interval velocity table
Advanced
Use constrained LSQR solver
Use corridor based on input model
Corridor width
Visualization
Inline to show
Crossline to show
Depth slice to show
Save intermediate results to SEG-Y
Save path
Name prefix
Settings
Execute on { CPU, GPU }
Distributed execution
Bulk size
Limit number of threads on nodes
Job suffix
Set custom affinity
Affinity
Number of threads
Run scripts
Script before run
Script after run
Skip
Output data
Output model
Information
Expected number of chunks
Approximate chunk size
Graphics
Custom actions
Calculate number of chunks
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