Data & Analytics
Almost all rigs, platforms, and vessels have some form of cellular mobile services, fiber, or even microwave transmission. Nevertheless, all these vessels and assets are equipped with satellite connectivity capabilities.
The company, as part of joint industry projects, has released an updated version of its computational fluid dynamics software that it says will aid in developing technology for the energy transition.
The companies are joining forces to work on large-scale industrial data collection across TotalEnergies’ operational sites, aiming to use continuous, real-time data collection to optimize performance.
-
US federal agencies should develop new crosscutting programs to advance the mathematical, statistical, and computational foundations underlying digital twin technologies, says a new report from the National Academies of Sciences, Engineering, and Medicine. -
The two companies have agreed to consider working together on digital assets and semiconductors.
-
The authors of this paper describe a suite of technologies that enables enhanced well robustness and performance modeling and monitoring of carbon storage facilities.
-
The authors of this paper describe an approach in which all available technologies are combined to improve understanding of reservoir depositional environments.
-
This paper presents the proof of concept of artificial-intelligence-based well-integrity monitoring for gas lift, natural flow, and water-injector wells.
-
The authors of this paper describe a project aimed at automating the task of cuttings descriptions with machine-learning and artificial-intelligence techniques, in terms of both lithology identification and quantitative estimation of lithology abundances.
-
The authors of this paper present a machine-learning-based solution that predicts pertinent gas-injection studies from known fluid properties such as fluid composition and black-oil properties.
-
Digital data acquisition has revolutionized the oil and gas industry. Recent trends have seen a significant shift toward the use of legacy data, the integration of various sources of data, and the application of machine-learning techniques, creating a more dynamic and data-driven landscape.
-
Finding and producing crude and natural gas is far, far removed from the days of acting on a geologist’s hunch or a wildcatter’s gut feeling.
-
The digital twin aims to allow Petrobras to optimize system settings to maximize production, increase recovery, and reduce risk.
