Dewaxing LLM

The Dewaxing LLM project leverages large language models to automate the extraction and structuring of job summaries and run details from WellView job logs. This enables more efficient data capture, reporting, and optimization of dewaxing operations at ARC.

By converting unstructured job comments into structured tables and summaries, the project supports machine learning model training, operational optimization, and integration with WellView and other data platforms. The system is designed to improve consistency, reduce manual effort, and provide actionable insights.