
Explore by Topic
Stay Connected
Don't miss out on the latest technology delivered to your email every 2 weeks. Sign up for the DSDE newsletter.
Aramco’s latest MOUs focus on driving innovation and growth across oil, gas, and downstream sectors.
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.
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.
-
The full potential of data can only be realized when it is viewed not in isolation but as part of the dynamic triad of hydrocarbons, the data, and the people who interpret it and act on it.
-
Over decades of exploration and production, the oil and gas sector has accumulated vast amounts of legacy data in various formats. Artificial intelligence and machine learning present an opportunity to transform how this unstructured data is processed and used, enabling significant improvements in operational efficiency and decision-making.
-
Starting in May, the same trusted content will be available exclusively as web articles.
-
This paper presents a fundamental research study with the main objective of building a mechanistic numerical model that captures the important mechanisms of polymer flooding through various mechanistic equations using a combined reservoir flow and geochemical numerical simulator.
-
This paper presents a continuous passive magnetic ranging technique that can provide real-time distance and direction to the offset well while drilling without interrupting drilling operations.
-
The authors of this paper describe a project to develop a virtual sensor to monitor the cooling effect downstream of a subsea choke to avoid hydrate plugs during cold-start operations.
-
In this study, a deep-neural-network-based workflow with enhanced efficiency and scalability is developed for solving complex history-matching problems.
-
This paper describes the operator’s digital-twin end-to-end production system deployed for model-based surveillance and optimization.
-
This paper presents an immersive platform that enables multidisciplinary teams and management to make decisions, connecting professionals to demonstrate and share findings in a way that capitalizes on artificial intelligence and cognitive capabilities.
-
The paper showcases the digital journey of a brownfield where digital solutions are enhancing recoverable volume, production, and process efficiency while minimizing losses and maximizing the return of investment.
-
This paper presents a lost-circulation model used during design and job-evaluation phases to accurately predict top of cement and equivalent circulating densities.
-
The Norwegian technology developer is working to strengthen the value case for wired pipe through an upcoming offshore campaign with Vår Energi.
-
Real-time location systems have emerged as invaluable tools for enhancing safety and efficiency in the operations of oil and gas organizations. This paper investigates the various applications of the technology within the industry, highlighting its transformative effect on safety protocols and operational efficiency.
-
New case studies highlight how artificial intelligence, advanced hardware, and innovative business models are enabling success in drilling automation.