DSDE: Emerging Technology

The strategic agreement puts the partners’ joint activities on a more certain path to connecting the first fusion power plant based on magnetic confinement to the electrical grid by early 2030.

A study from the International Association of Oil and Gas Producers shows the value of eye-tracking in well control operations.

The company’s edge software allowed the remotely operated vehicle to operate autonomously without being tethered to a surface ship.

This paper details experiences gained while developing a novel technology-driven approach to risk assessment methodologies such as process hazard analysis, hazard identification, and hazard operability in oil and gas.

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.

The authors of this paper describe the development of a continuous monitoring solution throughout its deployment.

The authors of this paper present an autonomous directional-drilling framework built on intelligent planning and execution capabilities and supported by surface and downhole automation technologies.

The authors of this paper discuss a global rate-of-penetration machine-learning model with the potential to eliminate learning curves and reduce time and costs associated with developing a new model for every field.

The authors of this paper describe a project that demonstrated the feasibility of using deep-learning and machine-learning approaches to introduce camera-based solids monitoring to the drilling industry.

An EU project is bringing together 15 partners from seven countries to work on designing and manufacturing superconducting cables to enable more efficient and less costly power transmission from renewable electricity generation sites.