DSDE: In the Industry

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.

Hiber, an industrial Internet-of-Things startup, announced that it has signed an agreement with Shell to provide well-integrity monitoring solutions globally.

A group of oil and gas executives and bitcoin miners mingled in a warehouse in Houston recently. One big topic of discussion: using stranded natural gas to power bitcoin mining rigs, which both reduces greenhouse-gas emissions and makes money for the gas providers, as well as the miners.

The UK’s Oil and Gas Authority has released 50 years of data from the North Sea in an effort to boost exploration and production and locate potential sites for carbon storage.

Fiber-optic technology company Silixa announced the installation, validation, and borehole seismic acquisition from a permanently installed fiber-optic distributed acoustic sensing system on BP’s Atlantis Phase 3 subsea field development.

ExpressFiber is a single-use system that uses disposable-fiber technology.

Halliburton supplies the sensing and analytics technology, and TechnipFMC provides the necessary connections. The combination, which won a Spotlight on New Technology Award, will be used by ExxonMobil in Guyana.

The first unmanned marine systems certificate has been awarded to SEA-KIT International by Lloyd’s Register, representing an important milestone for the maritime industry.

In reviewing the long list of papers this year, it has become apparent to me that the hot topic in reservoir simulation these days is the application of data analytics or machine learning to numerical simulation and with it quite often the promise of data-driven work flows—code for needing to think about the physics less.