Data & Analytics
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.
This paper presents a robot integrated with a microcontroller that provides multiple functions to help with data logging, analysis, and reporting to identify hazards and improve safety protocols.
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The new contract extends a decadelong relationship and expands the use of AI and digital twins. -
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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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.
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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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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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This paper describes the development of a comprehensive digital solution for well surveillance and field-production optimization for an offshore field consisting of four stacked reservoirs, each containing near-critical fluids.
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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.
