Large language model assisted semantic web knowledge base

A method, comprising:

• building a semantic web for drilling records, wherein building includes converting drilling records retrieved from a database into a Resource Description Framework (RDF) format and storing the RDF formatted drilling records in the semantic web;
• applying transfer learning to drilling domain knowledge to obtain a large language model (LLM) with drilling domain knowledge, the LLM configured to query the semantic web and to manipulate RDF formatted data within the semantic web;
• applying a schema to unstructured records to extract information from unstructured records;
• and
• storing the extracted information in RDF format to the semantic web.

A drilling platform controller, comprising:

• a processor;
• and
• a memory connected to the processor, the memory including instructions that, when executed by the processor, cause the processor to:
• receive current drilling parameters;
• query a large language model (LLM) assisted semantic web knowledge base based on the current drilling parameters, the LLM assisted semantic web knowledge base including an LLM trained with drilling operations domain knowledge, a semantic web connected to the LLM, and a converter, wherein the converter retrieves structured drilling records from a database, converts the structured drilling records into Resource Description Framework (RDF) format and stores the RDF formatted drilling records to the semantic web,
• receive a response from the LLM;
• and
• change one or more of the current drilling parameters based on the response.