Oil & Gas Archives

Here’s why you’re not getting enough value from your unstructured data

April 23, 2025

Imagine your technician having a “conversation” with your equipment data to troubleshoot failures and system problems. Or automatically analyzing accident reports and camera footage to make your employees safer. These applications are available today for companies that use AI to interrogate their unstructured data—the event logs, images, customer feedback social media posts and reports that technicians and managers create each day. Without powerful technology, it’s difficult or impossible to analyze at scale, making it effectively invisible to your teams.

Three AI-powered skills you need to tackle the perfect storm of aging workers and assets

April 16, 2025

Up to $500,000. That’s how much oil and gas operators could lose from just one hour of equipment downtime. These losses can add up quickly too. Based on the most recent downtime figures, industry operators face up to 27 days of downtime per year due to faulty equipment, costing potentially $38 million in lost revenue. If lost money wasn’t problematic enough, a lack of qualified maintenance personnel is exacerbating the issue. Consider this: 50% of energy industry workers are over 45 and expected to retire in the next 5 to 10 years. That’s a lot of subject matter expertise out the door. Meanwhile, equipment continues to age—with four out of ten offshore facilities over 15 years old. It’s a perfect maintenance storm.

How is industrial AI transforming risk management?

February 25, 2025

Safety issues had become a major pain point for one oil and gas supermajor. The company was racking up nonadherence safety compliance reports and numerous workforce productivity issues across its myriad locations. Enter AI-enabled computer vision. By layering Industrial AI applications on top of CCTV cameras, the company reduced its safety incidences by 90%, saving more than 11,000 workforce hours. Use of AI-powered technologies like Visual AI enables managers to be constantly aware of safety compliance, whether on an oil rig or in a manufacturing facility.

Worker safety is a pressing issue in the oil and gas industry; AI is here to help

February 19, 2025

The oil and gas industry already uses AI to drive process improvement, asset performance management, safety optimization, and regulatory/environmental compliance. But the pace has grown dramatically in recent years with the advent of new technologies like visual and generative AI. Some of the most important AI-driven improvements have come in the health and safety field. This is true in both refining and across the full spectrum of exploration and production activities, both offshore and onshore. It is incumbent on operators to take every available step to minimize risks to workers.

Industrial AI and IOGP: saving lives in oil and gas

February 10, 2025

Workers’ lives and livelihoods depend on observing safety requirements at all times. Safety awareness and proactiveness are critically important in the oil and gas industry. Preventing vehicle accidents, avoiding slips and falls, and eliminating injuries caused by heavy machinery are all important elements in the safe day-to-day operation of oil rigs, refineries, and other facilities. The advanced computer vision capabilities of Avathon’s Industrial AI Platform ensures that safety practices are enforced, reducing accident rates and improving oil and gas industry productivity. With Avathon, companies can easily adhere to the life saving rules for safety in the oil and gas industry developed by the International Association of Oil & Gas Producers (IOGP).

Product sheet: Optimize industrial processes with AI

January 24, 2025

From the energy sector to utilities to manufacturing environments, industrial operators today need reliable systems to improve production efficiency, reduce delays, and prevent equipment downtime. Whether your company is tapping into the advantages of AI for the first time or ready to scale its value across your organization even further, Avathon provides the breadth and depth of our patented, flexible, and intuitive applications together in one powerful, holistic platform: Avathon Industrial AI.

Product sheet: World-class performance with the power of AI

January 24, 2025

Avathon Industrial AI platform for oil & gas is a comprehensive artificial intelligence (AI)-based anomaly detection and asset/process management solution. Industrial AI platform tackles the most critical production, reliability, and process optimization challenges facing the oil and gas sector today, automatically digesting large amounts of data and transforming them into actionable insights that integrate easily and intuitively with existing workflows. Learn more in our product sheet.

A new future built on a foundation of industrial AI

January 20, 2025

Even though the origins of artificial intelligence (AI) date back to the 1940s, AI has never captured the imagination of the business, government, and the public like we have seen in recent years. It’s suddenly even common to find AI breakthroughs covered in national news broadcasts. A huge part of this groundswell of interest stems from the simple fact that there’s serious money to be made in the field of AI.

Digital twins: models of the real world powered by industrial AI

January 13, 2025

Seemingly everyone is talking about how a digital twin will improve business as part of an overall Industrial AI strategy. But what does the phrase really mean, and how can a digital twin help manufacturers, shippers, and industrial companies? Simply put, a digital twin is a virtual representation of an object or system that spans its entire lifecycle; this mirror image is updated from real-time data and uses simulation, machine learning, and AI-enabled reasoning to glean insights into the operation of the real system being modeled.

machine learning as the future of maintenance for offshore oil and gas

Case study: Why machine learning is the future of maintenance for offshore oil and gas

December 20, 2024

Machine learning can unlock the insights in your data quickly, efficiently, and accurately. In this resource, learn how Avathon’s platform analyzes large volumes of data for anomalous behavior, alleviates the cost and burden of model upkeep, and more.

oil and gas, decarbonize operations, ai efficiency in operations

White paper: Optimize decarbonization with AI-powered maintenance

December 19, 2024

As oil and gas organizations strive to decarbonize operations, and thus address both internal and external mandates pertaining to global climate change, one of the most effective available strategies lies in improving production uptime and asset efficiency. Predictive maintenance processes can lead to such improvements. Learn how.

oil and gas offshore rig maximize efficiency in oil and gas

White paper: The oil and gas industry can’t afford inefficient operations

December 19, 2024

Minimize the inefficiencies that can threaten profitability. Learn how your energy company can optimize operational efficiency regardless of where the industry is in the boom/bust cycle.

Oil and gas, preventing critical asset failure, AI at the edge

Case study: Improving safety by preventing critical asset failure with AI at the edge

December 16, 2024

Learn how a leading contract manufacturer of specialty petrochemicals used our machine learning-based predictive analytics to improve refinery safety and productivity, starting with industrial pumps.

Industrial AI streamlines oil and gas operations

December 9, 2024

Over the past decade, the oil and gas industry has made major investments in artificial intelligence, identifying a wide range of opportunities for operational improvement

Case study: Predicting ESP failures with variable data quality

November 21, 2024

Predict electric submersible pump (ESP) failures to decrease well downtime, reduce costly maintenance, and increase production. Learn how one major oil and gas company used normal behavior modeling (NBM) to identify unhealthy pump assets, identified 5 of 7 historical ESP failures with 13-35 days advance notice (potential savings of $1.35M in deferred production), and employed sensor data cluster analysis to classify potential ESP failures.

Oil & Gas