Building Near Surface Velocity Models Using Uphole and Full Waveform Seismic Surveys

A computer system comprising:

• one or more processors;
• and
• a computer-readable medium storing instructions executable by the one or more processors, the instructions when executed by the one or more processers cause the one or more processors to perform operations comprising:
• obtaining seismic data representing a subsurface formation;
• forming seismic gathers based on the seismic data;
• determining uphole vertical velocities for the subsurface formation based on uphole seismic survey data;
• forming a training dataset comprising input features comprising a subset of the seismic gathers and labeled output data comprising the uphole vertical velocities corresponding to the subset of seismic gathers;
• training a machine learning model using the training dataset;
• and
• generating a near surface velocity model for the subsurface formation using the machine learning model that takes as input the seismic gathers.

One or more non-transitory, machine-readable storage devices storing instructions executable by a computer system, the instructions when executed cause the computer system to perform operations comprising:

• obtaining seismic data representing a subsurface formation;
• forming seismic gathers based on the seismic data;
• determining uphole vertical velocities for the subsurface formation based on uphole seismic survey data;
• forming a training dataset comprising input features comprising a subset of the seismic gathers and labeled output data comprising the uphole vertical velocities corresponding to the subset of seismic gathers;
• training a machine learning model using the training dataset;
• and
• generating a near surface velocity model for the subsurface formation using the machine learning model that takes as input the seismic gathers.