IN THE INDUSTRY
Joint Venture Nears Completion of Digital-Twin-Designed Offshore Platform Project
The Azeri Central East platform is the first of its kind to be designed through all phases, from concept to front-end engineering design and detailed design, to fully use KBR’s digital twin technology.
ADNOC Completes First Phase of Artificial Intelligence Predictive Maintenance Project
The Abu Dhabi National Oil Company announced that it has completed the first phase of its large-scale multiyear predictive maintenance project, which aims to maximize asset efficiency and integrity across its upstream and downstream operations.
Schlumberger Teams Up With Two AI Firms
The agreement signed by Schlumberger, AIQ, and Group 42 is designed to develop and commercialize artificial intelligence for global exploration and production.
New Method Determines Well Spacing in Unconventional Reservoirs
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.
Integration of Data-Driven and Physics-Based Models To Better Understand Subsurface Formations
This article briefly reviews two examples of how the integration of data-driven and physics-based models can optimize the history-matching process in reservoir simulation and rate of penetration in drilling operations, leading to more robust and efficient outcomes.
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 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.
Sensors Driven by Machine Learning Sniff Out Gas Leaks
A new study confirms the success of a natural-gas leak-detection tool pioneered by Los Alamos National Laboratory scientists that uses sensors and machine learning to locate leak points at oil and gas fields, promising new automatic, affordable sampling across a vast natural gas infrastructure.
Neural Networks Help Classify Reservoirs by Recognizing Cuttings Lithologies
Advances during the past decade in using convolutional neural networks for visual recognition of discriminately different objects means that now object recognition can be achieved to a significant extent.
Machine-Learning-Assisted Approach Analyzes Slug-Flow Root Cause
The complete paper discusses the successful application of a data-driven approach to analyze production data and identify root causes of slugging in a subsea production system on the Norwegian Continental Shelf.
"We Can Solve This Problem in an Amount of Time That No Number of GPUs or CPUs Can Achieve"
Startup Cerebras benchmarked its pint-sized computer against 16,000 Xeon cores in the Department of Energy's Joule supercomputer on a problem of computational fluid dynamics.
Augmenting the Augmented Reality for Enterprises
Augmented reality is gaining momentum in monitoring hazardous environments such as oil rigs remotely. With advances in sensors, video processing, machine learning, and deep neural networks all rendered into eyewear, there is an opportunity for enterprises to leverage this technology.
Guidelines Aim To Boost Security of Internet of Things
New guidelines from the European Union Agency for Cybersecurity recommend that all stages of the IoT device lifecycle need to be considered to help ensure devices are secure.
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