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Company says the acquisition of Applied Risk will allow it to safeguard critical infrastructure in the renewables, power grid, and oil and gas sectors.
Kongsberg Digital, the digital branch of global technology company Kongsberg, recently joined in a strategic partnership with FutureOn, a global energy software company, to bring together their digital twin platforms for energy projects. Here, Kongsberg Digital’s sustainability lead, Brian Carey, explains how important digital twins are to sustainability in the oil an…
The utility of mud gas data so far has been limited to fluid typing, formation evaluation, and interwell geological and petrophysical correlation. The ongoing digital transformation has presented the opportunity to increase the utility of, and get more value from, the abundant and rich mud gas data. This article raises the question of whether getting more from mud gas…
The buzz about the future of automated drilling and it becoming reality depends on improvements in downhole data gathering now. Halliburton is working on it.
ExxonMobil has drilled a horizontal well with a rig billed by Nabors as the first fully automated land rig. The big question now is whether ExxonMobil will come back for more after this three-well test.
The event aims to educate energy professionals on data science and have them use those skills on the challenges of geothermal energy.
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.
Blockchain has moved past its status as a niche technology and now is being looked at as one that can transform many traditional industries by bringing digital automation, security, and potentially large cost savings. Shareholders have been pushing oil and gas businesses to cut expenses while increasing earnings, putting them under pressure. Blockchain can help the oi…
The collaboration will combine Lytt’s fiber-optic data analytics and cloud-based software with Baker Hughes’ completions and well intervention hardware.
The advantages of merging the realms of information technology (IT) and operational technology (OT) are obvious: cost reduction, improved capabilities, and greater efficiency. These advantages, however, come with a cost because they have affected the way that industrial control systems operate and have increased the exposure of industrial control systems to cyber risk…
An integrated multidisciplinary work flow can improve the assessment of pipeline slugging fatigue for offshore field developments.
This paper presents an integrated work flow to model mechanical properties at sufficiently high resolution to honor accurately rock fabric and its effects on height and complexity and, thus, production.
In this paper, alternative approaches to solids characterization are presented that lend themselves better to automation and real-time monitoring than API retort measurement.
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The survey was part of a project led by the University of Aberdeen, looking at the effects of decommissioning oil and gas structures on marine ecosystems.
This paper presents experiences from an automated drilling-fluids-monitoring initiative and resulting real-time hydraulic measurements and models for automatic drilling control.
This paper analyzes several configurations of convolutional neural networks suited for predicting upscaled fracture permeabilities and shape factors required to close a dual porosity/dual permeability model.
This paper describes a novel control scheme developed and tested on simulation for both hydrodynamic slugging and severe riser-induced slugging for a new facility in Angola.
Autonomous Robotic Rover Helps Scientists With Long-Term Monitoring of Deep-Sea Carbon Cycle and Climate ChangeThe sheer expanse of the deep sea and the technological challenges of working in an extreme environment make these depths difficult to access and study. Scientists know more about the surface of the moon than the deep seafloor. The Monterey Bay Aquarium Research Institute is leveraging advancements in robotic technologies to address this disparity.
The authors develop a data-driven approach, enabled by machine learning, to find an optimal operating envelope for gas-lift wells.