Data & Analytics
This case study presents the first field deployment of acoustic fracturing analysis to evaluate perforation efficiency and implement real-time interventions during pressure pumping.
As managed pressure drilling gains traction, its principles are influencing a wider range of well-construction activities.
From AI-enabled walking rigs to subsea drones and autonomous inspection robots, robotics is rapidly moving from pilot projects to field deployment. The technology promises not only greater efficiency but also a fundamental shift in how the industry approaches safety and asset management.
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Aramco’s latest MOUs focus on driving innovation and growth across oil, gas, and downstream sectors. -
Weatherford International announced a strategic agreement with Amazon Web Services (AWS) to advance the company's digital transformation and drive innovation across the energy sector.
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This article presents a comparative study evaluating four machine-learning approaches, including three deep-learning methods, for forecasting gas and condensate production over a 5-year horizon.
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The Cybersecurity and Infrastructure Security Agency said in a recent alert that cyberattackers are going after industrial control systems and supervisory control and data acquisition systems.
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The companies completed a technical assessment of the technology for use with floating production, storage, and offloading vessels.
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The USV Challenger will be remotely controlled from shore and will be equipped with multiple autonomous features.
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After a successful trial phase of ENERGYai, AIQ has been tapped to roll out the technology across ADNOC’s upstream operations.
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Weatherford and AIQ say they aim to enable the energy sector to unlock efficiencies, boost productivity, and reduce operational costs by combining their strengths.
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This article is the second in a Q&A series from the SPE Research and Development Technical Section focusing on emerging energy technologies. In this piece, Madhava Syamlal, CEO and founder of QubitSolve, discusses the present and future of quantum computing.
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This paper describes the operator’s digital-twin end-to-end production system deployed for model-based surveillance and optimization.
