ExxonMobil Scales AI Automation for Permian Basin Operational Gains

ExxonMobil is an energy company that has integrated physics-based AI and robotic systems into its Permian Basin drilling and optimization operations to improve performance and safety.

Executive Summary

ExxonMobil operates more than 30 drilling rigs in the Permian Basin and has deployed physics-based AI from Neuralix Inc. for real-time optimization in hydraulic fracturing and saltwater disposal along with robotic drilling systems.

The AI systems focus on stage quality intelligence and pumping efficiency while the automation targets removal of personnel from higher risk areas during operations.

Quantified outcomes include up to 40% electricity savings at a subset of saltwater-disposal sites and a target to automate half the rig fleet by 2028 which supports higher recovery rates and longer asset life for the energy operator.

What background context explains the focus on AI in the Permian Basin?

The Permian Basin serves as a maturing asset for energy operators where ExxonMobil seeks higher recovery rates and longer asset life through the application of scaled automation and technology as highlighted by company representatives.

Norely Guedez the Unconventional Support and Services Manager at ExxonMobil served as a speaker on the Technology AI and operational performance panel at the 2026 Permian Energy Dialogues held September 15-16 in Austin Texas.

The event organized by Energy Dialogues provided a platform for discussion of what technology and AI are delivering results in the Permian with participation from multiple industry executives.

Vikram Jayaram Founder and CEO of Neuralix Inc. and Martina Sittler VP Engineering and Construction at Targa Resources joined as distinguished speakers and participants in the panel sessions.

The discussions centered on practical applications of AI that produce measurable operational performance improvements for companies active in the basin.

What new developments in AI and automation are being scaled by ExxonMobil?

ExxonMobil has installed its first automated rig in the Permian which drilled two miles horizontally underground in a little over six days demonstrating the capability of robotic systems to accelerate drilling operations.

The company has established a target to automate half of its more than 30 drilling rigs by 2028 as part of a broader push for higher oil output through technological adoption.

Neuralix Inc. supplies the physics-based AI that enables real-time industrial optimization including hydraulic fracturing stage quality intelligence and SWD pumping efficiency at injection sites.

These initiatives represent a concrete enterprise AI implementation in the energy sector with focus on immediate operational adjustments based on data analysis.

Targa Resources supports the operations through long-term infrastructure agreements that facilitate the expanded use of these technologies across the acreage.

What technical specifics characterize the Neuralix AI and robotic systems?

The physics-based AI from Neuralix enables real-time stage quality intelligence during hydraulic fracturing which allows operators to monitor and adjust processes as stages progress.

The same technology addresses SWD pumping efficiency at saltwater disposal sites to optimize energy use and maintain consistent injection performance.

Robotic drilling systems reduce the need for direct human intervention in high-risk zones while maintaining drilling accuracy and speed as shown in the initial automated rig deployments.

These technical elements combine to support the overall goal of improved operational performance through data-driven decision making in real time.

The approach relies on physics-based models that integrate operational data for precise optimization without reliance on unverified projections.

How do the results compare before and after the AI deployment?

Operational metrics comparison for ExxonMobil Permian AI and automation initiatives

Aspect	Pre-Deployment Status	Post-Deployment Status
Rig Automation	Primarily manual operations across more than 30 rigs	Initial automated rigs installed with target of 50% fleet automation by 2028
Electricity Consumption at SWD Sites	Baseline levels without real-time optimization	Up to 40% savings achieved at subset of injection sites
Horizontal Drilling Performance	Standard time requirements for two-mile sections	Two miles completed in a little over six days on first automated rig
Personnel Risk Exposure	Higher exposure in operational zones	Reduced through automation as personnel are removed from higher risk areas

1. Assess rig operations to identify suitable candidates for robotic automation.
2. Partner with AI providers such as Neuralix Inc. to integrate physics-based optimization tools.
3. Deploy automated rigs and monitor initial drilling performance metrics.
4. Apply real-time AI intelligence to fracturing stages and SWD pumping for efficiency gains.
5. Measure outcomes including electricity savings and safety improvements for ongoing evaluation.

What are the market implications for the energy sector and stakeholders?

Targa Resources announced 20-year fee-based integrated midstream agreements with ExxonMobil subsidiaries for gathering processing and related services across Permian Delaware and Midland acreage.

These agreements provide the necessary infrastructure backbone for sustained scaling of AI and automation in upstream and midstream activities.

Energy sector stakeholders may observe similar long-term partnerships as operators seek to extend asset life and achieve higher recovery rates through technology adoption.

The developments indicate a trend toward integrated technology and service models that support consistent operational gains in maturing basins like the Permian.

Midstream providers such as Targa Resources gain from stable demand tied to the expanded use of optimization technologies by upstream partners.

Overall the market sees potential for productivity improvements and cost management through the combination of AI and infrastructure agreements.

What expert reactions were shared regarding the AI implementations?

Bart Cahir senior vice president of unconventionals at ExxonMobil provided direct commentary on the safety aspects of the automation efforts during the panel discussion.

By getting people out of that higher risk area, we're essentially eliminating that risk.Bart Cahir, senior vice president of unconventionals, ExxonMobil

The remarks from Bart Cahir emphasize the risk reduction achieved by shifting personnel away from higher risk operational zones through robotic systems.

Norely Guedez and other panel participants including Vikram Jayaram and Martina Sittler contributed to the conversation on what technology and AI are delivering results in the Permian.

The expert input focused on concrete examples of operational performance improvements rather than speculative outcomes.

What is next for AI in energy operations?

ExxonMobil and its partners including Neuralix Inc. and Targa Resources will continue to highlight scaled automation and technology that delivers measurable operational performance improvements in the maturing Permian.

The company maintains its target of automating half its rig fleet by 2028 while expanding the use of physics-based AI for optimization across additional sites.

Future activities are expected to build on the current results in electricity savings and drilling efficiency to further support higher recovery rates and asset longevity.

Industry executives in similar sectors can reference the attributed outcomes from the Permian deployments when evaluating their own AI strategies for operational enhancement.

The ongoing panel discussions at events like the Permian Energy Dialogues provide venues for sharing additional factual results from these technology applications.