SYSTEM AND METHOD USING LARGE LANGUAGE MODELS FOR THE ANALYSIS OF TEXTUAL DATA ASSOCIATED WITH OIL AND GAS OPERATIONS

Abstract: the disclosure provides automated analysis of oil and gas textual data that uses one or more llms and designed prompts or prompt chains. the prompts, referred to a curated domain prompts, use oil and gas domain knowledge to simulate human thinking and analysis. the curated domain prompts are pre-configured such that users do not need to create prompts for analyzing the textual data. in one example, a method of automatically analyzing oil and gas textual data, includes: (1) obtaining a curated domain prompt that identifies an oil and gas operation event and a parameter associated with the oil and gas operation event, (2) automatically extracting, using a large language model (llm), event data from oil and gas textual data based on the oil and gas operation event and the parameter, and (3) automatically generating an event summary that correlates the oil and gas operation event and the event data.

Inventor(s): Pradyumna Singh Rathore, Shashwat Verma, Geetha Nair, Aman Srivastava

CPC Classification: E21B43/16 (Enhanced recovery methods for obtaining hydrocarbons)

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