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Industry: Agriculture, Aviation, Construction, Maritime, Mining, Oil & Gas, Petrochemical, Power

Reinforcement learning algorithm help forecast underground natural reserves

techxplore.com

23/02/2021

Using machine learning, researchers at Texas A&M University have developed an algorithm that automates the process of determining key features of simple hydrocarbon reservoirs. Simulating the geology of the underground environment using reinforcement Learning can greatly facilitate forecasting of oil and gas reserves, predicting groundwater systems and anticipating seismic hazards.
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New Open AI Energy Initiative Launches to Expand AI Use in Energy Industry

Enterprise AI

05/02/2021

Learn how Shell, C3.ai, Microsoft and Baker Hughes choose to solve complex industrial problems with smarter collaborations. The Open AI Energy Initiative aims to grow AI use across the energy and process manufacturing industries by creating new AI and physics-based models, monitoring, diagnostics and more to help solve critical industry needs.
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Big Oil Big Tech Big Data

Engineering.com

07/01/2021

Discover what oil and gas majors are doing to optimise their assets, reduce non-productive time and lower operational costs. The article shares interesting example of the use of deep-learning models for optimized drilling and production, predictive maintenance solutions to forecast equipment breakdowns before they can have an adverse impact on their KPI and bottom line to adopting AR/VR for subsurface studies, training, maintenance and planning.
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Digitizing Risk-based Integrity Management of FPSOs with data analytics

Maritime Logistics

23/10/2020

ABS classification society SVP discusses how a digital strategy applied to an FPSO can impact its entire value chain, from equipment and inventory to operational efficiency, including optimization of inspections and onboard activities. Coupling these digital solutions with traditional risk-based inspection and maintenance planning techniques has shown a 10:1 ROI opportunity over the total asset life due to optimized repair and inspection planning.
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6 case studies illuminate the value of predictive maintenance

Plantservices.com

21/10/2020

Plantservice editor shares six case studies illustrating some of the numerous ways predictive maintenance and Prescriptive maintenance are transformative. Clear benefits in preventing costly unplanned downtime and lower costs have improved financial justification and driven adoption in a wide range of industries.
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10 Applications of Machine Learning in Oil & Gas

Algorithm X lab

20/08/2020

It’s a matter of time before Machine learning is heavily embedded in every oil & gas project. AI and data analytics technology is perfectly adapted to augment engineers in tackling the complexities of Oil and Gas projects from geological modelling, drilling operations to asset operation and maintenance. Predictions by McKinsey suggests that adopting AI and machine learning in oil & gas supply chains could gain $50 billion in savings, increasing profits.
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Remote monitoring of blowout preventers improves operations

Oil & Gas Engineering

01/06/2020

CEO of Deepwater Subsea shares how his firm help its oil & gas clients avoid BOP downtime and incidents. Using Seeq software’s unique analytics capabilities, SMEs at the monitoring center apply their domain expertise to help detect BOP system anomalies. What’s more is that this innovative service allowed the operators to obtain approval from Bureau of Safety and Environmental Enforcement to extend BOP testing intervals from 14 to 21 days, saving them $10 million annually per rig.
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Data Is The New Oil: How Shell Has Become A Data-Driven And AI-Enabled Business

Forbes

24/04/2020

Shell’s Data Science Manager shares with AI expert Bernard Marr what it takes to successfully scale a data strategy within large organisation. The key is to think about project application that are going to have a significant business impact immediately and use that to inform the KPIs that really matter to the business. Then, line up to that, which data really matters and how to invest in data quality, data standards, and technology to support doing this at scale.
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Artificial Intelligence to transform outdated workflows: a game approach to Well Trajectory Planning

LinkedIn

20/03/2020

Well trajectory planning is a high-stake and complex multi-disciplinary work activity for Oil & Gas operators. White space energy co-founder Norbert Dolle proposes a collaborative game-based approach to well trajectory planning supported by Artificial Intelligence. Using AI as a virtual player, this approach leads to a complete overview of the option space, and associated trade-offs across different business drivers, at a fraction of the time that it takes manual workflows to give similar insight.
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Predictive Analytics in the Oil and Gas Industry – Current Applications

Emerj

29/11/2019

This article intends to provide business leaders in the oil and gas space with an idea of what they can currently expect from AI in this industry. 4 Software vendors share how they helped early adopter operators implemented advanced predictive analytics, which combines engineering, data science, and computing power to enable engineers forecast yields, predict failure events and maximize industry assets.
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Predictive Maintenance advancements in the oil and gas industry

Offshore Engineering

25/10/2019

Eric Haun shares how industry innovators are leveraging advanced sensor technologies, big data, and real-time analytics to foresee and prevent costly component failures. According to a study published in 2018 by the Oil and Gas Authority, Technology Leadership Board, the adoption of data analytics and digital technologies for asset maintenance and operations could increase production and lower maintenance costs, presenting a value of £1.5 billion ($1.8 billion) annually to the UK continental shelf (UKCS) alone.
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Natural Language Processing Techniques and Discovery in Oil and Gas – a Review of Capabilities

Emerj

30/11/2018

Raghav Bharadwaj debates how AI-enhanced data search and discovery might soon be applied in the oil and gas industry across many business functions, such as production and maintenance. There are several marquee commercial offerings using NLP, that enable oil and gas companies to organize their internal data in ways which make it easy for employees to search and discover patterns that could optimize their business processes and solve issues more efficiently.
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