IN THE INDUSTRY
Shell Taps Bentley’s iTwin Platform To Speed Project Delivery
Shell has selected Bentley Systems, a provider of software and digital twin cloud services, to help streamline its capital projects and decrease time to first oil.
Equinor and Microsoft Partner on Northern Lights CCS Project
The memorandum of understanding with Microsoft follows a conditional investment decision made in May by Equinor, Shell, and Total. Pending Norwegian government approval, the final investment decision for the project is expected in late 2020 with startup expected in 2024.
Digital Technologies Boost Earnings at Johan Sverdrup
One year after the Johan Sverdrup field came on stream, Equinor says digital technology has proven to be key to safety and value in all parts of the operation, increasing earnings by more than $200 million.
Simulation Model May Reduce the Climate Footprint of Oil Production
Future offshore oil and gas fields are likely to be satellite developments that emit less greenhouse gases 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, Bluewater Test Hybrid Digital Twin To Optimize FPSO Inspections
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.
DNV GL and Aker BP Complete Pilot Project for Remote Inspections of Cranes
Akers BP said it will use lessons learned from the pilot and scale the remote-assist concept across its assets.
Equinor Shares Data From Northern Lights Well
The Northern Lights project will disclose data sets from the confirmation Well 31/5-7 Eos drilled in the North Sea and completed earlier this year.
Machine-Learning Image Recognition Enhances Rock Classification
Automated image-processing algorithms can improve the quality and speed in classifying the morphology of heterogeneous carbonate rock. Several commercial products have produced petrophysical properties from 2D images and, to a lesser extent, from 3D images.
Machine-Learning Approach Determines Spatial Variation in Shale Decline Curves
The complete paper describes an automated machine-learning approach to determine the spatial variation in decline type curves for shale gas production, based on existing data of production, completion, and geological parameters.
Emerging Architectures for Modern Data Infrastructure
The data industry has gotten exceptionally good at building large, complex software systems. We’re now starting to see the rise of massive, complex systems built around data. Despite all of this, there is still a tremendous amount of confusion around what technologies are on the leading end.
Ten Research Challenge Areas in Data Science
To drive progress in the field of data science, the authors propose 10 challenge areas for the research community to pursue. Because data science is broad, with methods drawing from computer science, statistics, and other disciplines, these challenge areas speak to the breadth of issues.
Can Neural Networks Show Imagination? DeepMind Thinks They Can
Incorporating imagination into AI agents has long been an elusive goal of researchers in the space. Imagine AI programs that are able not only to learn new tasks but also to plan and reason about the future.
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24 September 2020
29 September 2020
24 September 2020
24 September 2020