Automated offset well analysis

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 processor configured to:
• receive offset well data collected while drilling one or more offset wells;
• generate a machine-learning model configured to predict drilling risks in a new well based on the offset well data;
• predict a risk of differential sticking in the new well;
• predict a risk of solid-induced pack-off in the new well;
• receive drilling parameters for the new well;
• determine that the drilling parameters are within an engineering design window;
• generate a drilling risk profile for the new well based at least partially upon the predicted drilling risks from the machine-learning model, the predicted risk of differential sticking, and the predicted risk of solid-induced pack-off;
• and
• adjust one or more of the drilling parameters for the new well, after determining the drilling parameters are within the engineering design window, and after determining the drilling risk profile, based on the drilling risk profile.

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

• receiving offset well data collected while drilling one or more offset wells;
• generating a machine-learning model configured to predict drilling risks in a new well based on the offset well data;
• predicting a risk of differential sticking in the new well;
• predicting a risk of solid-induced pack-off in the new well;
• receiving drilling parameters for the new well;
• determining that the drilling parameters are within an engineering design window;
• generating a drilling risk profile for the new well based at least partially upon the predicted drilling risks from the machine-learning model, the predicted risk of differential sticking, and the predicted risk of solid-induced pack-off;
• and
• adjusting one or more of the drilling parameters for the new well, after determining the drilling parameters are within the engineering design window, and after determining the drilling risk profile, based on the drilling risk profile.