Machine learning agent significantly reduces drilling time on ultra-deepwater exploration well

Location Gabon, West Africa Ultra deepwater Challenge Show that real-time rate of penetration (ROP) optimization can signifi cantly contribute to improving ROP, decreasing drilling time and reducing costs, even when an auto driller is used. Solution The agent was used by RTO engineers to provide the rig crew with real-time drilling parameter recommendations for optimizing…

Real-time predictions and risk awareness help prevent nonproductive time

Location Magdalena River Valley Basin, South America Challenge Differential sticking is a known risk in the depleted reservoirs of the mature Magdalena River Valley basin, causing operators significant nonproductive time (NPT) during drilling and tripping operations. Solution Monitor real-time feed remotely using Exebenus Current ML. Provide risk awareness of situations that can cause stuck pipe…

ROP optimization agent reduces drilling time in offshore development side-track well

Location Offshore, deepwater, Malaysia Challenge Improve formation insight and increase drilling performance in a clay and sandstone environment known to cause slow rate of penetration (ROP). Solution Field trial real-time ROP optimization agent in a side-track well section. Run stuck pipe hole cleaning agent to understand risk of increased cuttings in suspension and cave-ins. Results…