Method and system for formation pore pressure prediction prior to and during drilling

A non-transitory machine-readable medium comprising a plurality of machine-readable instructions executed by one or more processors, the plurality of machine-readable instructions causing the one or more processors to perform operations comprising:

• for a plurality of offset wells associated with a prospect, obtaining offset well data, the offset well data comprising:
• surface drilling parameters,
• mud gas data, and
• formation pore pressure data;
• training using the offset well data, a machine learning (ML) model to make formation pore pressure predictions,
• wherein the offset well data used for training the ML model excludes the offset well data of an offset well in closest proximity to the prospect;
• and
• generating a formation pore pressure profile prediction for the prospect prior to drilling the prospect by:
• making formation pore pressure predictions for the offset well in closest proximity to the prospect using the ML model operating on the offset well data of the offset well in closest proximity to the prospect;
• establishing a drilling plan for the prospect under consideration of the formation pore pressure profile prediction;
• drilling the prospect according to the drilling plan;
• generating real-time formation pore pressure predictions for the prospect using the ML model operating on real-time data associated with the ongoing drilling of the prospect;
• determining a difference between the real-time formation pore pressure predictions and the formation pore pressure profile prediction;
• based on the difference, adjusting the formation pore pressure profile prediction;
• and
• based on the adjustment of the formation pore pressure profile prediction, adjusting the drilling of the prospect.