Data & Analytics
The companies said they plan to start deploying digital twin technologies in Oman this year.
The paper describes the deployment of fiber-optic monitoring of CO₂ injection and containment in a carbonate saline aquifer onshore Abu Dhabi.
This paper reviews the motivation and development of response-based forecasting from the perspective of the authors, reviewing examples and processes that have served as validation and led to modeling refinement.
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Accuracy, complexity, costs, and skills availability may make it difficult to get the most out of digital twins and even potentially misrepresent or miss actual changes in the status of systems or facilities. -
The new contract extends a decadelong relationship and expands the use of AI and digital twins.
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This paper presents a novel modeling framework for predicting residual oil saturation in carbonate rocks. The proposed framework uses supervised machine learning models trained on data generated by pore-scale simulations and aims to supplement conventional coreflooding tests or serve as a tool for rapid residual oil saturation evaluation of a reservoir.
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The main objective of this paper is to provide a solution that eliminates the risks of working in confined spaces and aids in preventive maintenance.
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SPE is excited to livestream these thought-provoking and informative Tech Talks from the SPE Energy Stream studio at the SPE Annual Technology Conference and Exhibition, 23–25 September, in New Orleans.
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The traditional method of inspecting tanks puts workers in danger. Using robots instead can keep workers out of harm’s way.
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You’ve heard of generative artificial intelligence, and odds are you’ve used it. But do you know how it works?
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One hydraulic fracturing job can stimulate two wells, but economic success hinges on doing it in the right place for the right price.
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This paper presents an automated underwater robot and a nondestructive testing eddy-current probe for alternating-current field measurement analysis of jacket main welds.
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Surveillance technologies have undergone a revolution, reshaping how facilities, wells, and reservoirs are monitored. These advancements not only have increased the scale at which these technologies are deployed but also have led to an unprecedented influx of data. The sheer volume of data, however, poses a significant challenge to traditional analytical methods.
