Case Study: a US-based upstream drilling operator saves $4.2M with Provectus' generative AI drilling intelligence platform

a US-based upstream drilling operator saves $4.2M with Provectus

A US-based upstream drilling operator faced the challenge of having years of valuable drilling intelligence locked away in thousands of inconsistent, free-text daily drilling reports. Manually reading and classifying non-productive time events from these reports took their engineers weeks per campaign, preventing them from using the data to reduce costly inefficiencies. They partnered with Provectus to implement a generative AI solution.

Provectus built an Integrated Energy Data Platform and deployed a domain-tuned LLM to automatically extract and classify non-productive time from the reports. The solution cut the analysis time from weeks to under two hours, increased engineer productivity by 30%, and identified previously unreported NPT events. For the customer, this resulted in savings of $4.2 million and a full month of recovered rig time across a single 100-well drilling campaign.