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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This paper describes a new integrated workflow for automated well monitoring using pressure and rate measurements obtained with permanent gauges and flowmeters. -
The firm’s latest report, Leading a Data-Driven Transition, presents the results of its annual survey of nearly 1,300 senior professionals and divides the respondents into two groups, which it calls “digital leaders” and “digital laggards.”
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Collaboration agreement lays foundation for advancing tech and know-how for harsh environment operations.
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The Space Act Agreement will allow BP and NASA to share technologies and technical expertise with the goal of benefiting human space exploration and energy production.
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Chevron looks into using remotely operated vehicles to scrub marine growth from subsea structures.
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The support vessel operator has invested in project-management software and in making connections using Starlink satellites.
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European oil and gas company Aker BP has agreed to a software-as-a-service collaboration with software firm Aize.
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The Norwegian data company has launched a 3D seismic survey in the Equatorial Margin area.
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The industry is balancing brains and bots as it squeezes out barrels of oil production.
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Energy efficiency is crucial for the oil and gas industry, where operational costs and environmental impact are under constant scrutiny. Predicting and managing electrical consumption and peak demand accurately, especially with the variability of weather conditions, is a significant challenge. This work presents a neural network model trained on historical weather and…
