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Applications include identifying new green catalysts to enable the conversion of waste products to useful matter, green hydrogen generation, CO2 utilization, and the development of fuel cells. Novel catalysts also could be used to replace expensive and rare materials such as iridium, the metal used to generate green hydrogen and CO2 reduction products.
Are your skilled innovators not performing as quickly as you thought they would? I think I know why.
The owner of a hydroelectric power plant has created a cottage industry for local crypto miners in Costa Rica where electricity is in surplus and the power that is produced is all green.
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The mood in the global oil and gas business is looking up, but the times are changing as reflected in this selection of some of the most-read JPT articles of the year. -
Totally automated drilling today looks like a robot doing all the heavy lifting on a drilling floor. By 2025, there may no longer be anything surprising about it.
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The failure of the Raptor rig to drill its first-ever well offers a short history of the challenges that came with creating the first automated drilling rig.
The oil and gas firm has decided to use Curate, Ikon’s scalable cloud-enabled subsurface-data-management software.
Software company FutureOn and consulting firm Wood are working together on an enhanced digital service for asset operators.
Gazprom Neft Courts Middle East NOCs With Digital Technologies as it Seeks Bigger Role in the Region
A delegation from the Moscow-headquartered oil company recently visited Dubai with a slew of advanced technologies to see if anyone was interested in making a deal.
Schlumberger and Russia’s Gazprom Neft have agreed to jointly develop software and promote other upstream services to be commercialized across Russia and internationally.
In August 2021, the College of Engineering at Texas A&M University launched a new certificate program training undergraduate students to excel in data science skills and practical interdisciplinary understanding so they can solve global challenges faced by the petroleum industry.
Augury’s machine health technology will further build out Baker Hughes’ integrated asset performance capability, expanding coverage from critical assets to balance of plant machines in the energy and industrial markets. Machine health uses advanced sensors and artificial-intelligence-based software to predict and prevent machine failures.
The deal represents what will become the second deployment of an all-electric fracturing fleet built by Halliburton and with power supplied by VoltaGrid's microgrid technology.
In an increasingly data-dependent sector, oil and gas companies need to scale up their use of technology across the enterprise rapidly. Success will involve reframing the CIO’s role in driving not only digital transformation but also business outcomes.
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The authors present a review of the capabilities of fog computing and its potential in the petroleum industry. -
Artificial intelligence and machine learning are gaining acceptance quickly in the oil and gas industry. This article presents key industry applications for these technologies as well as the critical role private cellular networks play in leveraging them successfully. -
The authors present an artificial-intelligence and machine-learning technology to obtain a high-level, comprehensive view of all equipment in a facility to detect and map corrosion. -
This paper introduces methods to fully couple reservoir simulation with wellbore flow models in fractured injection wells.
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The machine-learning techniques applied aim to deliver a prediction model based on both simulation and real-time field data. The model tracks and monitors system key performance indicators. -
The paper demonstrates the ability of deep-learning generative models to enable new shale-characterization methods. -
The paper presents a model for shale gas production in which CO2 is injected by huff ’n’ puff into a hydraulic fracture surrounded by a shale matrix. -
This paper describes how severe rig limitations were overcome through an optimization plan in which an optimal bottomhole assembly was designed and drilling practices were customized.
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This paper presents a review of virtual reality (VR) in the oil and gas industry through the development of prototypes. The objective was to establish a learning experience and knowledge about VR’s main features, hardware, software, and applications; evaluate the capabilities of various VR solutions in the context of field operator and maintenance training; and develo…
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A supervised machine-learning algorithm is developed to classify drilling parameters that increase rate of penetration and bit endurance for use in unconventional fields in Australia.
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The register aims to help the maritime industry embrace technology advances in artificial intelligence.
