DSDE: In Theory

GeoMark’s RFDbase contains raw data from every major petroleum basin in the world that can be used in training models to link subsurface characteristics to wellhead performance.

Petrolern has received a $1.15-million grant from the US Department of Energy to develop and commercialize its technology that models in-situ stresses by using available data.

Technology is advancing, and applications are growing, but scaling faces technological and human challenges.

The Environmental Defense Fund's report called "Hitting the Mark" is a roadmap for the oil and gas industry to obtain and report good data on methane emissions. But it also laments that methane emissions data are outdated, inaccurate, and unreliable.

The authors describe challenges that must be overcome to reach the goal of drilling systems automation.

With such uses as tracking the source of renewable energy and changing the relationship between how energy is produced and consumed, blockchain has the potential to transform the way companies collaborate and interact to accelerate the development of low-carbon energy.

How can the famous Casino-inspired trick for data science, statistics, and all of science be done in Python?

Industrial robots are becoming an increasingly popular choice in a variety of industries for different applications. Going by responses to a McKinsey and Company survey, up to 88% of businesses worldwide intend to adopt robotic automation into their infrastructure.

AI-driven technology in the form of digital twins is helping companies reduce costs as they reopen after the COVID-19 lockdown, says a report from research and advisory company Gartner.

Price and demand pressures in the oil and gas sector make the potential value embedded in advanced connectivity for exploration and production more important than ever.