DSDE: In Theory

How can the famous Casino-inspired trick for data science, statistics, and all of science be done in Python?

Industrial robots are becoming an increasingly popular choice in a variety of industries for different applications. Going by responses to a McKinsey and Company survey, up to 88% of businesses worldwide intend to adopt robotic automation into their infrastructure.

AI-driven technology in the form of digital twins is helping companies reduce costs as they reopen after the COVID-19 lockdown, says a report from research and advisory company Gartner.

Price and demand pressures in the oil and gas sector make the potential value embedded in advanced connectivity for exploration and production more important than ever.

Present industry solutions to the challenge of well spacing involve expensive geomechanical Earth modeling or fracture-geometry monitoring that is time-consuming, data-intensive, and geography-specific.

Future offshore oil and gas fields are likely to be satellite developments that emit less greenhouse gas because they do not require new production platforms. A new computational tool is now enabling the design of longer pipelines that will allow many more fields to be developed as satellites.

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.