AI & Machine Learning

Courtesy: Seeq Corporation and Microsoft
Cybersecurity March 1, 2021

Hackathon event to analyze, prevent greenhouse gas emissions

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.

By Seeq Corporation
Image courtesy: Brett Sayles
Oil and Gas February 24, 2021

Machine-learning algorithm developed to provide accurate natural reserve forecasting

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.

By Vandana Suresh
Enhanced machine-learning systems can quickly compress data so they can render how fluid movements change in a reservoir during actual production processes. Courtesy: Akhil Datta-Gupta, Texas A&M University
Oil and Gas January 2, 2021

Enhancing machine learning capabilities in oil and gas production

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.

By Nancy Luedke
Petroleum engineering graduate researcher Marcus Elliott is mapping shale reservoirs using cost-efficient methods. Courtesy: Justin Baetge, Texas A&M University
Oil and Gas October 20, 2020

Merging mapping methods to find invisible shale cracks

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.

By Nancy Luedke
Courtesy: Yokogawa
AI and Machine Learning September 28, 2020

Artificial intelligence identifies process abnormality causes

When other methods fail, AI is a critical finding and solving tool

By Dr. Hiroaki Kanokogi
Courtesy: Lavoro Technologies
Remote Monitoring August 4, 2020

Cloud solutions enable remote work productivity, without replacing SCADA

Use SCADA to best advantage, and the way it’s meant to be used

By Eric Fidler
Courtesy: FogHorn
IIoT, Industrie 4.0 July 31, 2020

Flare stack monitoring made easy with edge-enabled video analytics

Real-time remote monitoring of a pressing concern in oil & gas

By Ramya Ravichandar
Courtesy: Siemens Industry, Inc.
AI and Machine Learning July 22, 2020

Drive train with AI, machine learning delivered to refinery

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.

By Siemens Industry, Inc.
MIT computer scientist Aleksander Madry. Courtesy: Ian MacLellan, MIT
AI and Machine Learning March 15, 2020

Doing machine learning the right way

MIT Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable and robust.

By Rob Matheson
UW-Madison researchers have found a way to speed up the process of finding suitable biofuel reaction conditions using machine learning. Courtesy: University of Wisconsin-Madison
AI and Machine Learning March 3, 2020

Machine learning speeds up biofuel production process development

Researchers at UW-Madison have found a way to speed up the process of finding suitable reaction conditions using machine learning, which may help the era of biofuels come a little bit sooner.

By Jason Daley