AI & Machine Learning
To continually safeguard the oil and gas industry, companies must look to technology advances such as digital twins, smart pipelines and more.
Remotely-operated aerial robots can operate in dangerous conditions, which make them ideal for certain oil and gas operations.
The Microsoft Energy Core Methane Emissions Hackathon virtual event is designed to overlay oil and gas asset and geographic information system data to pinpoint leak location.
Texas A&M researchers have developed an algorithm that automates the process of determining key features of the Earth’s subterranean environment such as groundwater, oil and natural gas.
Enhanced machine-learning systems developed by Texas A&M researchers can quickly compress data so they can render how fluid movements change during production processes.
A student researcher at Texas A&M is using the combination of electrical currents, called electromagnetics, and data from tightly-focused microseismic measurements to accurately render existing natural fracture networks in shale rock.
When other methods fail, AI is a critical finding and solving tool
Use SCADA to best advantage, and the way it’s meant to be used
Real-time remote monitoring of a pressing concern in oil & gas
Siemens Large Drive Applications delivered a drive train, which includes artificial intelligence and machine learning to Deer Park Refinery located in Houston, Tex., one of the nation's largest refineries.