Automatic salt geometry detection in a subsurface volume

A computing system, comprising:

• one or more processors;
• and
• a memory system including one or more non-transitory, computer-readable media storing instructions that, when executed by at least one of the one or more processors, cause the computing system to perform operations, the operations including:
• receiving seismic data and an initial velocity model;
• generating a first seismic image based at least in part on the seismic data and the initial velocity model;
• training a machine learning model to predict salt masks based at least in part on seismic images, the training includes using a first salt mask and the seismic image as a training couple;
• merging the initial velocity model and the first salt mask to generate a first modified velocity model;
• generating an updated velocity model based at least in part on the first modified velocity model;
• generating a second seismic image based at least in part on the updated velocity model;
• predicting a second salt mask based at least in part on the second seismic image and the updated velocity model, using the trained machine learning model;
• and
• merging the updated velocity model and the second salt mask to generate a second modified velocity model.

A non-transitory, computer-readable medium storing instructions that, when executed by one or more processors of a computing system, cause the computing system to perform operations, the operations comprising:

• receiving seismic data and an initial velocity model;
• generating a first seismic image based at least in part on the seismic data and the initial velocity model;
• training a machine learning model to predict salt masks based at least in part on seismic images, the training includes using a first salt mask and the seismic image as a training couple;
• merging the initial velocity model and the first salt mask to generate a first modified velocity model;
• generating an updated velocity model based at least in part on the first modified velocity model;
• generating a second seismic image based at least in part on the updated velocity model;
• predicting a second salt mask based at least in part on the second seismic image and the updated velocity model, using the trained machine learning model;
• and
• merging the updated velocity model and the second salt mask to generate a second modified velocity model.