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The use of artificial intelligence in the clean energy sector increases the availability and accessibility of clean energy, making it a more viable and cost-effective alternative to traditional energy sources.
A joint webinar conducted by the Human Factors and Ergonomics Society and the Society of Petroleum Engineers addressed the role of human factors in automation in the oil and gas industry.
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 emergence of reliable, affordable, and accessible uncrewed systems reveals their potential to play a valuable role in the energy transition. -
One of the problems with geothermal is that the rock that is hot enough to create the steam needed to run a power plant is also capable of destroying drilling hardware.
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Satellite imaging of methane emissions offers the fossil fuel industry the empirical data it needs to fix problems that companies might not even know they have before the EPA starts to levy fines in 2024.
The company used an uncrewed surface vessel and an electric remotely operated vehicle to conduct a survey for TAQA in the North Sea.
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.
When the name change was announced on 24 October, the accompanying release said the SLB name was designed to underscore “the company’s vision for a decarbonized energy future and affirming its transformation from the world’s largest oilfield services company to a global technology company focused on driving energy innovation for a balanced planet.”
The company said it expects the software to enable greater standardization for its well and drilling teams in the well planning and well delivery process, improve communication and automation, and increase transparency of project-related risks and costs.
The service company said it plans to use DataRobot’s artificial intelligence capabilities in its production-optimization and well-construction digital platforms.
The data-management company has raised its investment in the technology company IWS by $7.9 million, with an agreement to invest an additional $25 million depending on the performance of IWS.
A recently signed memorandum of understanding is designed to let the two companies work together on digital transformation and decarbonization.
ProPetro will provide committed services for a 3-year period to an undisclosed Permian Basin operator.
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The authors of this paper introduce a physics-based method for explicit pore-pressure prediction in naturally fractured shale petroleum reservoirs. -
The authors of this paper aim to identify the effect of various geologic controls on hydrocarbon maturation in the Delaware Basin by restoring regional cross sections and performing simulations of organic-matter maturity. -
This work explores the synergistic effects of smartwater in polymerflooding, surfactant/polymerflooding, carbonated waterflooding, and foam-assisted gas-injection. -
The complete paper describes a combination of best practices and innovative techniques that help to provide rig-based and rigless opportunities by estimating potential and risk in a naturally fractured reservoir.
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The authors of this paper show the migration of a CO2 plume within a depleted carbonate reservoir and the expected effects of CO2 saturation and pressure buildups during injection on time lapse 4D seismic for conformance monitoring. -
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. -
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. -
The authors of this paper present a method of retrieving downhole data that is a practical and inexpensive alternative to wireline or slickline logging and permanently installed sensors.
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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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This device lets workers in noisy and windy environments hear through their bones without removing ear protection.
