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From 26to 27 August, industry executives, policymakers, financiers, researchers, and technologists will gather in Malaysia to explore the full potential of CCUS.
This month’s column recaps the top five objectives for the 2025 SPE President and introduces a new discussion on the future of the SPE name.
By closely monitoring its subsea boosting system, Shell extended maintenance intervals and safely postponed pump replacement at its ultradeepwater Stones field.
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The Data Science and Engineering Analytics Technical Section has been selected to receive the 2025 Presidential Award for Outstanding Technical Section, and the Hydrogen and Sustainable Development technical sections have been awarded the 2025 Technical Section Excellence Award. -
The upstream industry has viewed real-time completions as a long-term goal, but the technology is already in use.
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Traditionally, the drilling industry has relied on high-fidelity thermal simulators to predict downhole temperature for different operational scenarios. Though accurate, these models are too slow for real-time applications. To overcome this limitation, a deep-learning solution is proposed that enables fast, accurate prediction of downhole temperatures under a wide ran…
The collaboration will see TGS’ software platform implemented throughout the carbon value chain at the Northern Lights project.
The company, as part of joint industry projects, has released an updated version of its computational fluid dynamics software that it says will aid in developing technology for the energy transition.
The companies are joining forces to work on large-scale industrial data collection across TotalEnergies’ operational sites, aiming to use continuous, real-time data collection to optimize performance.
The Energy and AI Observatory aims to use up-to-date information on energy demand from data centers to determine how artificial intelligence is optimizing the energy sector.
The company is making available its data on ocean and weather conditions in an effort to boost transparency and innovation.
The agreement focuses on improving operational efficiency and consistency through advanced digital tools and real-time data integration.
TotalEnergies and the French company Mistral AI are joining forces to extend the use of AI in improving TotalEnergies’ performance, especially in low-carbon energies. The partners plan to set up a joint innovation lab focused on artificial intelligence.
Operators that demand control of their future position in global energy production are forging ahead into new territory by digitally transforming their operations at a time that still feels relatively comfortable. They’ve recognized that, while traditional approaches served the industry well for many decades, the chance to reimagine how they do things is not something…
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With the right infrastructure and interoperability, subsea resident robotics could unlock more frequent, cost-effective inspections—and a new standard for offshore efficiency. -
The authors present an efficient workflow using an embedded discrete fracture model to simulate carbon-dioxide flow by use of conductive faults. -
This study aims to thoroughly assess the influence of various completions, fracturing stimulation, and intrinsic reservoir properties affecting the productivity of 10 major unconventional plays while uncovering insights and trends unique to each play. -
An innovative approach uses a random-forest-based framework to link logging-while-drilling and multifrequencey seismic data to enable dynamic updates to lithology parameter predictions, enhancing efficiency and robustness of geosteering applications.
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This paper presents the development of a robust, physics-based, and data-driven workflow for modeling mud loss in fractured formations and predicting terminal mud loss volume and time, as well as equivalent hydraulic fracture aperture. -
The use of real-time wireless downhole pressure gauges proved a valuable alternative to workover operations in two onshore fields in Iraq. -
This study aims to use machine-learning techniques to predict well logs by analyzing mud-log and logging-while-drilling data. -
This paper describes the development of a method of predicting drillstring-friction coefficient during tripping operations that can be used for early warning of stuck pipe.
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Emerging solutions could solve current subsea pain points, while a new taxonomy system could clarify the capabilities of the expanding domain of underwater vehicles.
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Bad vibes are being addressed by contractors as operators push to go faster, deeper, and longer with unconventional wells.
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This paper presents a smart safety monitoring system to prevent accidents in environments with moving machinery at use on various global rigs.
