data analytics

University of Houston researchers develop oil recovery tools with ‘significantly higher accuracy’ than current methods.

The Landmark DecisionSpace Geosciences software aims to incorporate geoscientists into the company’s digital work flow.

The second phase of the project will analyze data gathered in Phase 1, with the goal of improving riser, wellhead, and conductor fatigue estimates.

Premier Corex and Teverra will be combining their efforts to aggregate data for companies involved in large-scale geothermal projects.

The collaboration expects to redefine methane detection and contribute to emission-reduction efforts across dozens of industries, including energy, agriculture, manufacturing, and transportation.

While the industry is adopting the technology, one expert highlights areas where the oil and gas sector could speed up the adoption of artificial intelligence.

The model is an industry standard template for operators to maintain land survey data, mainly acquired for the oil and gas industry.

For organizations that do it well, data management provides a competitive edge in an increasingly digital oil field. But teams all too often are so busy managing all the moving parts of data management that they take their eye off of “the prize”—the payoff after you have put everything into place to sustain successful data management.

This article presents a new data-driven analysis to locate low-frequency seismic sources, referred to as near-infrasound or infrasound sources. Combining these infrasound signals with microseismicity signals allows for better characterization and monitoring of the stimulated reservoir volume.

The collaborative virtual asset and data management suite is designed to meet the needs of the offshore renewable energy market and oil and gas subsea asset owners.