AI Transforming Drilling Efficiency and Safety in Oil and Gas

Published Date : 11/09/2025 

The oil and gas industry is leveraging artificial intelligence (AI) to enhance operational efficiency, safety, and sustainability. Discover how AI is transforming drilling performance and setting new standards for excellence. 

The oil and gas industry stands at a pivotal moment. We face growing energy demand, increased environmental expectations, and a rapidly evolving technological landscape. Artificial intelligence (AI) in drilling prevails at the center of this transformation, which will fundamentally change how we approach operational efficiency and resource recovery, particularly in mature fields and complex reservoirs. This goes beyond innovation—it becomes digital, executed.

The benefits of AI in drilling come into sharp focus as we strive for improved safety, efficiency, and sustainability. AI and machine learning transform raw data into actionable intelligence that supports smarter decision-making in real time. This helps us predict performance, anticipate challenges, and optimize workflows with unprecedented speed and precision. Digital is embedded in everything we do, and we see measurable improvements in drilling performance, increased consistency, a more proactive approach, and continuous learning and innovation. Yet, this only marks the beginning.

Our digital foundation, anchored by data, AI, automation, and enterprise software, empowers smarter decisions and more consistent outcomes. Advanced machine learning algorithms allow the oil and gas industry to analyze real-time data from downhole tools, the wellbore, and surface systems. At its core, AI moves us from a reactive posture to predictive and even prescriptive operations. AI-powered algorithms identify subtle patterns and trends, then turn them into actionable insights. This helps us anticipate issues, such as changes in formation pressure or equipment or bit wear, before they affect performance. We can make adjustments to keep drilling on schedule, reduce downtime, and improve asset performance.

AI does more than provide data interpretation. Our AI-powered platforms, such as LOGIX™ automation and remote operations, transform how we discover, develop, and produce energy. We see how AI makes a difference daily.

Measurable advances in drilling performance and reservoir recovery. AI-driven platforms use machine learning algorithms to analyze data and optimize drilling parameters on a continuous basis. This allows us to steer the bit more accurately, adjust the weight and rotation in response to downhole conditions as they change, and maintain optimal drilling performance without manual intervention. This results in faster drilling, more precise well placement, and higher-quality wellbores that maximize reservoir contact. In Oman, the use of LOGIX automation and remote operations delivered a 15% improvement in the rate of penetration, which saved several days per well.

Upgraded safety and consistency. Operators face a persistent drilling challenge due to the variability from changes in activity levels, such as increased rig counts or the exploration of new fields. AI systems help standardize best practices in operations, which reduces the performance variability that can accompany increased activity. Automation transforms the way we work, from drilling to completions and beyond. Our intelligent platforms reduce human error and help deliver safer, more reliable execution. In Qatar, our real-time well engineering platform predicted a drill pipe failure before it could cause a serious event.

Proactive, data-driven decision-making. AI empowers operators to anticipate and address issues before they affect performance. This predictive capability extends to maintenance, where AI can analyze equipment data to forecast failures and maximize time between repairs. This reduces downtime and helps maximize asset availability.

Support for sustainability. When we integrate AI-driven emissions tracking and forecasting into drilling, we can identify opportunities for emissions reduction and make actionable recommendations. This helps support regulatory compliance and corporate sustainability goals. An extended reach drilling well, constructed in the UAE, serves as a prime example, where we used AI-driven forecasting to minimize emissions.

Continuous learning and innovation. Every well drilled with AI strengthens our digital foundation. Drilling technology learns and improves over time and shares collective intelligence from projects and regions. This continuous learning loop accelerates the adoption of best practices and spurs ongoing innovation in drilling methods and technologies. In Iraq, our LOGIX™ automation and remote operations center use data analytics to measure and compare KPIs in wells and fields. This helps optimize performance on subsequent wells.

Perhaps most importantly, AI helps the industry tackle growing technical challenges, such as complex reservoirs, increased requirements for optimal well placement, and the need for improved operational efficiency. The integration of data from multiple sources and disciplines trains our AI models and allows for more holistic, system-level optimization.

As we look to the future, the real opportunity with AI in drilling lies in how we collaborate as an industry to harness these technologies. At Halliburton, we execute a digital vision that optimizes operations, enhances consistency, and maximizes asset recovery. This encapsulates innovation in action. LOGIX automation and remote operations provide a pathway to deliver smarter wells, safer operations, and a step change in how the industry defines drilling excellence. 

Frequently Asked Questions (FAQS): 

Q: What is the role of AI in the oil and gas industry?

A: AI in the oil and gas industry helps enhance operational efficiency, safety, and sustainability. It transforms raw data into actionable insights, enabling predictive and prescriptive operations, and optimizing drilling parameters in real time.

Q: How does AI improve drilling performance?

A: AI-driven platforms use machine learning algorithms to analyze data and optimize drilling parameters, leading to faster drilling, more precise well placement, and higher-quality wellbores. This results in improved performance and reduced downtime.

Q: Can AI help in reducing operational risks?

A: Yes, AI systems help standardize best practices, reduce human error, and predict potential issues, such as equipment failures, before they occur. This enhances safety and reliability in drilling operations.

Q: What is the impact of AI on sustainability in the oil and gas industry?

A: AI-driven emissions tracking and forecasting help identify opportunities for reducing emissions and support regulatory compliance. This contributes to the industry's sustainability goals.

Q: How does continuous learning benefit AI in drilling?

A: Continuous learning allows AI models to improve over time by sharing collective intelligence from various projects and regions. This accelerates the adoption of best practices and drives ongoing innovation in drilling methods and technologies. 

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