Artificial intelligence

Edge computing, AI and machine learning, and IIoT technology serve as key enablers to deliver safer and more environmentally sustainable operations by reducing human and carbon footprints, while increasing operational efficiency and productivity.

The combination of artificial intelligence, machine learning and the industrial internet of things is enabling remote operations and automation capabilities, leading to greater adoption and proliferation of intelligent oilfield operations.

Informed investment decisions require access to the complete knowledge potential existing within digital data available in today’s oil and gas fields. Emerging applications provide investors with access to machine learning, AI analytics, and smart monitoring technologies necessary to mine these data.

Improve efficiencies, reduce asset downtime and protect critical knowledge with AI-based production technologies.

Two industry-leading service providers have partnered to deliver a robust, AI-driven cybersecurity tool for operations-critical equipment and systems.

As the big crew change continues, operators have a wealth of digitally stored knowledge, for which less-experienced technical staff need innovative AI-based tools to efficiently access this valuable operational information.

Effective reservoir management requires combining multiple engineering/geoscience disciplines to identify improvement opportunities. To optimize analysis, an AI-powered management platform was developed that delivers faster, more accurate results to maximize asset value.

A thousand alarms but only one important event. This is the reality facing many operators of electric submersible pumps (ESPs). With so much reliance on people rather than digital tools to prioritize events, it is difficult for field engineers to respond to the most important. The disparate, hit-and-miss analytics of slow-loop systems makes it difficult for operators to identify ESP issues and respond to them in a timely manner. Sensia AiRP captures, prioritizes, resolves, and reclassifies ESP events in an integrated environment, creating a single-view workflow that brings together the latest advances in AI and powerful data visualization to automate the prioritization process. By automatically and intelligently analyzing ESP events in real time, AiRP empowers you to boost operational efficiency, optimize lift, and minimize downtime by significantly cutting the response time to potentially harmful events. This solution harnessing Sensia’s full capabilities represents the first step towards lift autonomy.

Pursuing revolutionary transformation will redefine how we work and catapult the oil and gas industry forward

Successful development of technology today will ensure that the E&P industry continues to be a source of reliable energy supplies, and also a driver of innovation, spearheading advances in the fourth industrial revolution.

New digital technologies derive actionable intelligence from data generated during oilfield operations, while enabling the ability to implement changes in real time.

Researchers at NETL are working to increase the role that AI and ML play in everyday E&P operations.

The partnership will deliver unprecedented capabilities to petrotechnical domain experts in response to global demand for AI, bridging the gap between machine learning and domain expertise to enable better insights.

Digital transformation holds the key to addressing global energy challenges

The system enables customer support to be delivered proactively by Wärtsilä Expertise Centres to ensure long-term accurate insight for their predictive maintenance strategies.

Achievements include new technologies in key basins; strengthening position in the South Atlantic; further growth onshore; enhancing imaging and efficiencies; and expanding the value chain through data and analytics.

Using historical and real-time data from entire systems, the BHC3 Reliability machine learning models identify anomalous conditions that lead to equipment failure and process upsets. Application alerts enable proactive action by operators to reduce downtime and lost revenue.

Weatherford’s Vero automated connection integrity system, which applies artificial intelligence to validate well integrity and minimize safety risks, has completed 15,000 tubular connections in 50 operations worldwide since its market debut.