In the weekly ADIPEC Energy Dialogue Webinar series, Philip Whittaker, Boston Consulting Group, discussed the role of digital technology in the recovery of the oil and gas industry post COVID-19.
Apache’s adoption of the Arup Inspect MInteg inspection service on the Beryl Alpha platform has reduced offshore inspection hours of the topside structure whilst enhancing the quality and availability of inspection data.
Sercel-GRC, which designs, manufactures and markets downhole data acquisition instruments and surface equipment, has named Song Hu as a new sales and support manager.
Following the acquisition, Murchison Drilling Schools Inc will combine forces with Well Academy and together be a strong global player in the delivery of training solutions across the well life cycle.
Emerson’s contribution will improve the efficiency of reservoir modellers and reservoir engineers, and enable multi-disciplinary integrated reservoir workflows.
InteractivAI, powered by Bluware's Volume Data Store cloud-native data environment, enables the acceleration of detailed interpretation tasks.
A new immersive scenario game that puts oil and gas worker’s skills to the test has been launched by specialist energy e-learning company Norwell EDGE.
The virtual server was created for geology and field development specialists, who create 3D models of gas condensate fields in Petrel software package and work with over hundred gigabytes of data.
Rebecca Wallace, Saudi Aramco, explores the digital technologies the company are deploying in the pursuit of sustainability, efficiency and safety.
Eigen and Wintershall Dea have extended their partnership to deploy the principal integration, visualisation and management platform for production engineers at the oil and gas company’s Brage oilfield.
The solution will aim to minimise safety risks, enhance asset integrity and create potential savings of AUS$$2.8 billion per year for the Australian offshore energy industry.
In the second part of this two-part article, Lisa J. Graham, Seeq Corp., provides use cases of machine learning in action in the oil and gas industry.
Machine learning is a powerful tool, but it requires extensive domain expertise for successful deployment, as Lisa J. Graham, Seeq Corp., explains in the first part of a two-part article.