US 12,468,693 B2
Summary of drilling and operation reports based on a user prompt
Tabassum J. Qureshi, Houston, TX (US); David M. Phillips, Houston, TX (US); Alberto Ancona, Houston, TX (US); and Andreas Sadlier, Houston, TX (US)
Assigned to Halliburton Energy Services, Inc., Houston, TX (US)
Filed by Halliburton Energy Services, Inc., Houston, TX (US)
Filed on Dec. 13, 2023, as Appl. No. 18/538,947.
Prior Publication US 2025/0200280 A1, Jun. 19, 2025
Int. Cl. G06F 16/242 (2019.01); G06F 16/28 (2019.01); G06F 16/903 (2019.01); G06F 16/9535 (2019.01); G06F 16/958 (2019.01); G06F 40/205 (2020.01)
CPC G06F 16/2425 (2019.01) [G06F 16/283 (2019.01); G06F 16/903 (2019.01); G06F 16/9535 (2019.01); G06F 16/958 (2019.01); G06F 40/205 (2020.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving a user prompt that was parsed by a natural language processor;
obtaining, by a trained large language model (LLM), a plurality of drilling reports;
generating, by the trained LLM, a database created from a plurality of drilling reports from at least one wellbore, wherein each report includes sections and tables, wherein the trained LLM retrains itself after generating the database;
generating a first summary of a plurality of drilling reports for at least one wellbore based on the database created by the trained LLM from the plurality of drilling reports;
indicating a sentiment score of the first summary; and
generating a final summary based on the first summary and the user prompt.