Data & Analytics
Switching from continuous circulation to cyclic huff-‘n’-puff operation in enhanced geothermal systems can significantly delay thermal breakthrough, sustain higher production temperatures, and improve long-term economic performance.
The two companies say they plan to work together to use agentic AI to increase the capabilities of technical experts.
This article is the first in a Q&A series from the SPE Methane Emissions Management Technical Section (MEMTS) on methane intelligence and how oil and gas teams translate emissions data into credible decisions and measurable reductions.
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The complete paper presents a methodology designed for optimally matching drill bits, mud motors, and bottomhole-assembly components for reduced failure risks and improved drilling performance. -
ODDS—organization, due diligence, data, and scrub. These four important steps can make sure you are ready to implement artificial intelligence in a way that leads to a successful project.
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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.
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The AI partnership combines Wood’s optimization platforms with Cognite’s Data Fusion product to develop solutions for the energy transition and free up data from fragmented and legacy systems.
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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.
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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.
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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.
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A systematic approach to ensure quality assurance is intended to build confidence and accelerate the uptake of digital twins.
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What happens when proactive regulations get ahead of our ability to gather and understand data? Are you guilty before being proven innocent or even being aware of what the data is saying? Are oil and gas operators on the defensive before they even get started with new regulations?
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Phase 1 covers the modeling and monitoring of assets for six ADNOC Group companies. The four phases of the project are expected to be completed by 2022.
