Digital drilling ecosystem sets a new benchmark for performance and efficiency for TotalEnergies in deepwater Angola

TotalEnergies sought to enhance drilling performance and reduce operational risks in their deepwater operations in Angola.

By deploying integrated SLB digital solutions, including DrillOps™ advisory, Neuro™ autonomous directional drilling, DrillOps™ performance insights, DrillOps™ predictive analytics, and PressPro RT™ real-time downhole performance measurement software, the team achieved a new benchmark for drilling speed, trajectory control, and operational efficiency in the region, ultimately saving 32 hours of drilling time across two sections.

Drive compounding efficiency gains with a fully connected digital ecosystem

TotalEnergies aimed to elevate execution consistency, efficiency, and overall operational performance by leveraging the advantages of a fully integrated digital drilling tool suite. Rather than addressing isolated issues, they sought a unified approach that would unlock compounding efficiency gains by adopting solutions natively designed to reinforce each other. These solutions are now delivering higher levels of speed, consistency, and reliability from planning through operations.

Unified digital workflows enhance performance, reduce rig time, and optimize decision making

TotalEnergies integrated digital workflows, linking real-time monitoring, automated recommendations, and execution to deliver more consistent drilling and save over 32 hours across two sections.

This was achieved through the following integrated capabilities:

Dynamic operating window

• PressPro RT software continuously computed equivalent circulating density (ECD).
• These updates directly informed DrillOps advisory, with recommendations updated in real time to reflect evolving downhole conditions.
• This kept operations consistently within the optimal performance envelope, while respecting formation constraints.

Directional automation

• Neuro autonomous directional drilling continuously optimized well trajectory, significantly reducing required downlinks while maintaining optimal placement.
• Fewer steering adjustments delivered more stable wellbores, reducing unplanned tortuosity and improving drilling efficiency.
• Automated downlinking executed trajectory updates with machine-level precision while drilling at full performance.

Operational visibility

• DrillOps predictive analytics and DrillOps performance insights continuously surfaced evolving drilling trends.
• Real-time visibility across rig and remote teams enabled faster, better aligned decision-making.
• Early identification of deviations supported proactive adjustments, before performance was impacted.