AI-139 · Source-linked project profile. Read the scope, reported result and what remains unknown.
Open the interactive projectHow to read this evidenceSantos’s deck has more specific evidence than our earlier excerpt. It separates production-optimization AI, a pressure model replacing physical gauges, rig-connected drilling automation and stimulation logistics.
Production-optimization AI: $28m benefits delivered in 2025 and over $64m potential annual benefit by 2029. Pressure model: up to about $70m potential capex reduction. The two potential dollar figures are gross. Separate columns claim 20% penetration-rate improvement and 80% US frac-installation productivity improvement; these must not be assigned to the pressure model.
The pressure-model figure is potential, not achieved savings. No pressure-model accuracy, complete project costs or matched net return. The production-AI program may overlap AI-083/Xecta, so its benefit remains outside numerical-result counts pending scope reconciliation. Drilling integration belongs to its own column; stimulation logistics is adjacent technology.
Virtual pressure measurement could avoid spending on physical instrumentation. That is a different value mechanism from production optimization. The potential benefit still depends on where engineers accept the model as a replacement and what it costs to keep it reliable.
Release cover; slide 72 / PDF page 74, four separate columns; footnote 1: Gross
Investor briefing described technology program across value chain.
The pressure-model figure is potential, not achieved savings. No pressure-model accuracy, complete project costs or matched net return. The production-AI program may overlap AI-083/Xecta, so its benefit remains outside numerical-result counts pending scope reconciliation. Drilling integration belongs to its own column; stimulation logistics is adjacent technology.
The pressure model estimates bottom-hole pressure instead of relying on physical downhole gauges. A separate drilling-automation column describes rig-control integration monitored from an operating center. The production-optimization AI column reports delivered benefits. The fourth column concerns bulk proppant/fluid handling and is not identified as AI.
The pressure-model figure is potential, not achieved savings. No pressure-model accuracy, complete project costs or matched net return. The production-AI program may overlap AI-083/Xecta, so its benefit remains outside numerical-result counts pending scope reconciliation. Drilling integration belongs to its own column; stimulation logistics is adjacent technology.
A source grade describes provenance, not independent verification. This is a research profile, not a measure of net return. Report a correction.