Digital oilfield
The authors propose a hybrid virtual flow and pressure metering algorithm that merges physics-based and machine-learning models for enhanced data collection.
This paper discusses the concept, applications, and continual evolution of a new 3D temperature and spectral-acoustics modeling and logging approach.
Guest Editorial: 2025 Perspective: Digital Transformation in Oil and Gas—From Evolution to Shockwave
The path forward is not just about automation—it is about augmentation. AI is not replacing human expertise; it is amplifying it. Those who master this balance will define the future of oil and gas in a rapidly evolving energy landscape.
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SponsoredRead the latest research about data management's role in supporting digital transformation in the upstream industry. -
SponsoredWhite Paper—The Ultimate Guide to e-Permit to Work: The Top Three Benefits of Moving Away From PaperMoving to an electronic permitting process can ensure proper and timely authorizations for work between office and field.
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The infrastructure engineering software firm is expected to pay more than $1 billion to acquire geological and geophysical modeling software developer Seequent.
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According to a World Economic Forum report, digital transformation in the oil and gas industry could unlock approximately $1.6 trillion of value for the industry, its customers, and wider society while creating around $1 trillion of value for oil and gas firms.
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Technology is advancing, and applications are growing, but scaling faces technological and human challenges.
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COVID-19 has significantly accelerated the adoption of digital technologies across all industries, and the oil and gas industry has been no exception. As such, interest in digital data acquisition, which is the backbone of all digital transformation work flows, also has increased significantly.
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The customizable Internet of things service is designed for monitoring onshore and offshore remote assets.
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The agreement will see Akselos become one of the global energy company’s verified suppliers for structural integrity assessments, forming part of Shell’s newly formed Digital Twin Platform.
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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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A systematic approach to ensure quality assurance is intended to build confidence and accelerate the uptake of digital twins.
