Data & Analytics
Autonomous drilling through managed pressure drilling (MPD) at the Atlantis field has given the operator confidence to scale the method.
The cloud platform provider said the initiative is designed to help energy companies manage and analyze large-scale operational data.
Major increases in hydrocarbon production require both incremental and revolutionary technologies, industry leaders said during the SPE Hydraulic Fracturing Technology Conference.
-
A group of people who really care how drillers code the memos added to the daily drilling report is the data scientists—who find that the coded tags do not match the activity. A program that helps drillers code is one of three technologies featured in a JPT series on drilling measurement innovation. -
Fugro and SEA-KIT’s partnership will develop unmanned vessels, while HII and Kongsberg will market naval and maritime products.
-
Immersive technology on projects such as wellsite planning incorporates XR, drones, and collaboration.
-
An ultrahigh-density high-resolution data set from the Hammerfest Basin is now available from PGS. The area is thought to contain around half of the undiscovered resources on the Norwegian continental shelf, according to the Norwegian Petroleum Directorate.
-
Modeling immensely complex natural phenomena such as how subatomic particles interact or how atmospheric haze affects climate can take hours on even the fastest supercomputers. Now, work posted online shows how AI can easily produce emulators that can accelerate simulations by billions of times.
-
Moving away from siloed organization to the co-creation of an IT/business strategy is an important progression in the journey of digital transformation.
-
Switching to remote working because of the coronavirus can create cybersecurity problems for employers and employees. Here are some things to watch.
-
As industry imposes work from home, health checks, and other severe measures, could digitalization provide relief?
-
The chip is less than 4.5 mm across and weighs less than 2 oz. Nonetheless, it is pushing the power of artificial intelligence to the edge.
-
MIT Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable, and robust.
