DSDE: Emerging Technology

This paper details a successful pilot to improve long-term well performance using acid stimulation aided by a tailored metal oxide nanoparticle-based fluid in the Wolfcamp A formation.

The new system at the US Department of Energy’s Argonne National Laboratory achieved more than a quintillion calculations per second.

With the growing reliability of uncrewed aircraft, oil companies are now eager to have offshore rigs supplied in a more systematic and autonomous way. So, why haven’t we heard more about using uncrewed craft?

A report from GlobalData shows how digital twins—digital representations of physical assets, systems, people, or processes—are increasingly helping oil and gas companies throughout the life cycle of their operations.

Heightened focus on methane emissions management spurs a new conceptual framework to aid in determining the duration of detected methane emissions, data that may be useful to stakeholders responsible for measurement-informed emission protocols.

If optimized to scale, fast fission reactors could play a role in reducing emissions in field operations by producing carbon-free electricity.

The act aims to create safeguards around general purpose artificial intelligence, limit the use of biometric identification systems by law enforcement, and ban social scoring the untargeted scraping of facial images from CCTV footage to create facial recognition databases.

This paper describes how near-real-time tracer data from the onsite tracer analysis enabled the operator of the Nova field to interactively optimize two well cleanups.

This paper describes a case study in which, in the absence of a conventional production log, distributed fiber-optic sensing, in conjunction with shut-in temperature measurements, provided a viable method to derive inflow zonal distribution.

Distributed fiber-optic sensing data from distributed temperature sensing and distributed acoustic sensing can be used to monitor annuli liquid levels in production wells, further allowing calculation of leak rates and inference of leak path.