If a scientist wanted to forecast ocean currents to understand how pollution travels after an oil spill, she could use a common approach that looks at currents traveling between 10 and 200 kilometers.
Oil and gas (O&G) companies can no longer afford to ignore digitalization, says GlobalData, which notes that any O&G company that doesn’t start to modernize now risks going under.
A sensor network powered by an artificial intelligence (AI) algorithm developed by scientists from Nanyang Technological University, Singapore (NTU Singapore) can accurately detect, in real-time, gas leaks and unwanted water seepage into gas pipeline networks.
Valmet will supply automation to a gas clean-up system at Viridor’s Dunbar Landfill site in East Lothian, Scotland, UK. The first-of-its-kind system allows the successful capture of CO2 and transforms landfill gas into transport fuels. The clean-up system will be supplied by the Dutch company CarbonOrO.
HRADIL's twin cable is suitable for use as a replacement cable for KASRO® working and rehabilitation robots.
The "Inspection Robotics in Oil & Gas Industry: Global Market 2018-2025 by Robot Type, Application, System Component and Region" report has been added to ResearchAndMarkets.com's offering.
The "Inspection Robotics in Oil & Gas Industry: APAC Market 2018-2025 by Robot Type, Application, System Component and Country" report has been added to ResearchAndMarkets.com's offering.
INTEGRA’s innovative ASSIST PLUS pipetting robot, has scooped the SelectScience Scientists’ Choice Award for Best New General Lab Product of 2018.
Autonomous robots fitted with tiny chemical sensors that listen to the ‘sounds’ coming off gases will instantly detect gas leaks in petrochemical plants and pipelines to dramatically improve disaster responses.
A powerful new A.I. software from tech startup NthDS is transforming the way that oil and gas companies do business. Today, the company announced that its first O&G client used Nspect by NthDS to upload 1,500 well logs to a sorted, searchable database in just six hours—48,000 percent faster than the time required to digitize the logs using traditional data entry.