DSDE: In Theory

DNV GL and floating production, storage, and offloading (FPSO) vessel specialist Bluewater are undertaking a pilot project to use hybrid digital twin technology to predict and analyze fatigue in the hull of an FPSO in the North Sea.

Akers BP said it will use lessons learned from the pilot and scale the remote-assist concept across its assets.

The complete paper provides an approach using machine-learning and sequence-mining algorithms for predicting and classifying the next operation based on textual descriptions.

The dynamic nature of unconventional-reservoir developments calls for the availability of fast and reliable history-matching methods for simulation models. In this paper, the authors apply an assisted-history-matching approach to a pair of wells in the Wolfcamp formation.

Decline-curve analysis is one of the more widely used forms of data analysis that evaluates well behavior and forecasts production and reserves. This paper presents technologies that apply DCA methods to wells in an unbiased, systematic, intelligent, and automated fashion.

It's not just semantics. Companies that fail to understand the differences between data privacy and data security put their brands and bottom lines in jeopardy.

To deliver digital twin technology for the upstream oil and gas markets, the Doris Group, Schneider Electric, and AVEVA are entering into a strategic partnership.

The E&P subsurface sector today faces the lowest reserve replacement ratios in decades as well as an increasing need to maximize recoverable oil and gas from developed fields.

Morag Watson, senior vice president of digital science and engineering at BP, reveals how a data-driven approach can add a different dimension and where BP is on the digital curve.

ConocoPhillips has deployed a low-code platform called Mendix to cut costs and increase efficiency, making it the first major oil and gas producer to use such technology across the company.