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The nomination window for the 2026–2027 SPE Distinguished Lecturer season is now open through 15 March 2025. The DL Program is a prestigious opportunity to share your insights on global trends, challenges, and innovations with SPE sections worldwide.
Routine status reporting often presents a challenge because of its intimidating and time-consuming nature for both employees and supervisors. With large language models, a system was developed to generate coherent artificial-intelligence-driven reports. The goal is to enhance the understanding of overall insights and reduce the time required for individual report read…
We’re thrilled to announce the launch of the 2025 SPE/JPT Hydraulic Fracturing Supplement. This exclusive, official publication will be distributed at three major SPE industry events.
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The SPE Europe Energy GeoHackathon aims at educating and disseminating knowledge to all the participants on how data science applications can support geothermal energy developments and drive the energy transition. Boot camps begin 21 October. -
SPE is celebrating outstanding Associate Editors who have distinguished themselves in managing paper timeliness, responsiveness, and providing high-quality reviewer feedback for the Society’s peer-reviewed SPE Journal.
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Every year, SPE recognizes members who have made an exceptional effort to ensure the technical excellence of the Society’s peer-reviewed SPE Journal.
The companies plan to develop new artificial-intelligence-powered processes and workflows to optimize oil and gas production.
Aker BP plans to use a software platform from TGS as a process data server designed to improve field operations.
The new contract extends a decadelong relationship and expands the use of AI and digital twins.
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.”
The support vessel operator has invested in project-management software and in making connections using Starlink satellites.
European oil and gas company Aker BP has agreed to a software-as-a-service collaboration with software firm Aize.
The Norwegian data company has launched a 3D seismic survey in the Equatorial Margin area.
The company has agreed using its innovations in automation in an effort to derisk ultradeep offshore drilling for the Brazilian national oil company.
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This paper describes a new application that leverages advanced machine-learning techniques in conjunction with metocean forecasts to predict vessel motions and thruster loads. -
This paper presents a workflow that combines probabilistic modeling and deep-learning models trained on an ensemble of physics models to improve scalability and reliability for shale and tight-reservoir forecasting. -
This paper proposes a holistic, automatic, and real-time characterization of cuttings/cavings, including their volume, size distribution, and shape/morphology, while integrating 3D data with high-resolution images to pursue this objective for use in the real-time assessment of hole cleaning sufficiency and wellbore stability and, consequently, for the prediction, prev… -
This paper describes a new integrated workflow for automated well monitoring using pressure and rate measurements obtained with permanent gauges and flowmeters.
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This paper presents the processes of identifying production enhancement opportunities, as well as the methodology used to identify underperforming candidates and analyze well-integrity issues, in a brownfield offshore Malaysia. -
This paper describes installation of autonomous inflow control valves in the Bretaña Norte field in Peru, enabling effective water control even though the trial well was placed in the flank, close to the oil/water contact. -
This paper discusses the approach used to sectorize a mature giant carbonate reservoir located onshore Abu Dhabi for the purposes of reservoir management, offtake, and injection balancing. -
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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This paper aims to emphasize the importance of decision-making based on quantitative monitoring outputs, from both a business perspective and an ecosystem-service perspective, in future offshore projects.
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This paper delves into the evolving landscape of drilling automation, emphasizing the imperative for these systems to go beyond novelty and deliver quantifiable financial value.
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Wearable technology aims to take advantage of hands-free functionality to allow workers to perform their duties while maintaining communication remotely with the control room.
