Data & Analytics
This paper presents a smart safety monitoring system to prevent accidents in environments with moving machinery at use on various global rigs.
The Energy and AI Observatory aims to use up-to-date information on energy demand from data centers to determine how artificial intelligence is optimizing the energy sector.
The company is making available its data on ocean and weather conditions in an effort to boost transparency and innovation.
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This paper describes how a surveillance, analysis, and optimization plan was used to resolve subsurface uncertainties and optimize a reservoir development plan and provides lessons learned and best practices. -
The authors of this paper present an autonomous directional-drilling framework built on intelligent planning and execution capabilities and supported by surface and downhole automation technologies.
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The authors of this paper discuss a global rate-of-penetration machine-learning model with the potential to eliminate learning curves and reduce time and costs associated with developing a new model for every field.
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The authors of this paper describe a project that demonstrated the feasibility of using deep-learning and machine-learning approaches to introduce camera-based solids monitoring to the drilling industry.
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Vision analytics is being used to extract insight information from video, with data inferred from existing cameras used to create a monitoring dashboard where supervisors can receive alerts at the worksite level or drill down to specific events.
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The oil and gas industry uses a variety of complex systems and technologies that are becoming increasingly vulnerable to cyberattacks. Now, through the Cyber Resilience Pledge, more than 20 global CEOs have committed to work together to improve cyber resilience across the ecosystem.
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The opening ceremony highlighted maximizing production sustainably to meet global demand, integration of simulation and optimization in a single platform with automation, and energy security.
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The University of Texas at Austin will be home to a multidisciplinary research and education initiative, the Energy Emissions Modeling and Data Lab, which aims to address the growing need for accurate, timely, and clear accounting of greenhouse-gas emissions across global oil and natural gas supply chains.
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The emergence of reliable, affordable, and accessible uncrewed systems reveals their potential to play a valuable role in the energy transition.
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Energy firm Vattenfall has conducted large-scale seabed surveys with uncrewed surface vessels. The company reports positive results, from both climate and safety aspects.
