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Sunya / Energy AI research

ExxonMobil / AI advisory and closed-loop autonomous drilling in Guyana

AI-072 · Source-linked project profile. Read the scope, reported result and what remains unknown.

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What the source says

SLB’s named ExxonMobil case describes Neuro directional control and DrillOps surface-equipment automation, with shore teams monitoring the work.

Company
ExxonMobil
Department
Drilling & completions
Record type
company_adoption
Disclosed stage
Existing operating profile; supplier-reported results now visible
Source date
Undated (2026 URL)
Source-date precision
unknown or mixed; read original value
Source provenance
C · Supplier-reported
Review disposition
Source-attributed; not an independent validation

Reported result

SLB reports more than 48 km of complex well paths, more than 93% of operations executed autonomously, 51% fewer controlled-ROP downlinks and 75% fewer off-bottom downlinks since implementation.

What this does not establish

Supplier-reported operational measures, not independently audited performance or cash ROI. This substantiates the Neuro/DrillOps case, not the separate pending March 2026 first-well claim or its different vendor attribution. Existing source history is retained.

How much well-delivery time changed after automation, and how often did shore teams intervene?

Original sources

Disclosure history

First fully autonomous AI-drilled well offshore Guyana

ExxonMobil completed what it called the industry's first fully closed-loop automated well placement with full rig automation in the Stabroek Block. VP of Exploration John Ardill said no driller touched the controls and AI handled drilling and geosteering through the reservoir section.

Supplier-reported operational measures, not independently audited performance or cash ROI. This substantiates the Neuro/DrillOps case, not the separate pending March 2026 first-well claim or its different vendor attribution. Existing source history is retained.

Guyana Neuro and DrillOps directional-drilling automation

Neuro controls trajectory and downlink requests; DrillOps automates surface equipment and drilling tasks. Shore teams monitor operations.

Supplier-reported operational measures, not independently audited performance or cash ROI. This substantiates the Neuro/DrillOps case, not the separate pending March 2026 first-well claim or its different vendor attribution. Existing source history is retained.

Autonomous drilling in Guyana, with supplier-reported results

SLB’s named ExxonMobil case describes Neuro directional control and DrillOps surface-equipment automation, with shore teams monitoring the work. Neuro updates trajectory and requests downlink commands. DrillOps controls pumps, drawworks and top drive, adjusts drilling parameters and responds to drilling dysfunction. Operations are monitored from an onshore center.

Supplier-reported operational measures, not independently audited performance or cash ROI. This substantiates the Neuro/DrillOps case, not the separate pending March 2026 first-well claim or its different vendor attribution. Existing source history is retained.

A source grade describes provenance, not independent verification. This is a research profile, not a measure of net return. Report a correction.