Data Mining Engine provides LLM‑aided data ingestion pipelines that extract and organize unstructured well data for oil and gas well abandonment workflows. Its platform automatically pulls historical information from scattered documents, generates pre‑arrival schematics and populated tables within seconds, and offers a collaborative interface for teams to verify and update figures, creating a single source of truth for well abandonment reporting.
Funding
Funding not disclosed
Founders
Product
Problem
Oil and gas teams must gather well history from numerous unstructured sources—PDFs, spreadsheets, scanned logs, handwritten notes, and photos—to create well abandonment reports. Manually extracting, consolidating, and verifying this data is time‑consuming and prone to errors, delaying regulatory compliance and increasing operational costs.
Solution
The Data Mining Engine offers LLM‑assisted ingestion pipelines that automatically read and extract relevant information from any well‑related document, regardless of format. Extracted data is used to generate pre‑arrival schematics and populated tables for abandonment reports within seconds. A collaborative, version‑controlled workspace provides a single source of truth where engineers can verify, update, and monitor the data. By automating the entire data‑mining process, the platform streamlines the abandonment workflow, reduces manual effort, and improves report accuracy for oil and gas operators.
Target Audience
Primary customers are oil and gas companies and engineering teams responsible for well abandonment reporting and regulatory compliance.
Features
- Multi‑format document ingestion that parses PDFs, spreadsheets, scanned logs, handwritten notes, and whiteboard photos without requiring reformatting
- Large language model (LLM) driven extraction to identify and structure well history from unstructured text
- Automatic generation of well schematics and populated tables for abandonment reports in seconds
- Collaborative interface with version control, enabling team members to verify and update data as a single source of truth
- Scalable processing that can run across entire fields, handling all wells simultaneously