DSDE: In Practice

The authors present an open-source framework for the development and evaluation of machine-learning-assisted data-driven models of CO₂ enhanced oil recovery processes to predict oil production and CO₂ retention.

A novel approach uses the heart-shaped signal in low-frequency distributed acoustic sensing measurements to estimate the hydraulic fracture tip distance before the hydraulic fracture intersects the monitor well, offering critical insight into the characterization of hydraulic fracture propagation.

Undocumented orphaned wells pose hazards to both the environment and the climate. Scientists are building modern tools to help locate, assess, and pave the way for ultimately plugging these forgotten relics.

This investigation of fluid flow and particles movement uses a coupled CFD/DEM modeling approach to provide new insights into the multiscale mechanism of sand production.

The authors of this paper discuss how intelligent completions in the Gulf of Mexico have allowed for increased production, reduction in operating expenses, enhanced overall reservoir recovery, and improved safety and environmental performance.

The USGS has said up to 19 million tons of lithium resource is contained in the briny waters of the Smackover formation in Arkansas.

This case study uses distributed temperature sensing (DTS) technology to monitor a cemented and plugged well in the Alaska North Slope, highlighting the versatile potential of DTS in long-term monitoring and establishing a workflow that makes the most of that potential.

This paper reports the observation of stealth asphaltenes, a potential flow-assurance issue, by means of experimental analysis.

This paper describes the suite of cloud-based digital twin tools that the operator has developed and is integrating into its operations, providing online, real-time calculation of scale risk and deployed barrier health to manage risk on a well-by-well basis.

This paper presents the processes of identifying production enhancement opportunities, as well as the methodology used to identify underperforming candidates and analyze well-integrity issues, in a brownfield offshore Malaysia.