Data & Analytics
The 2-day event will explore the evolving role of quantum computing in oil and gas applications.
The event, taking place on 2 April, will explore the theme "Beyond Automation: AI as the Catalyst Reshaping the Oil and Gas Industry."
Agentic AI could help upstream oil and gas operations reduce emissions by enabling real-time methane detection, optimizing flaring and energy use, and improving carbon capture efficiency.
-
The industry is balancing brains and bots as it squeezes out barrels of oil production. -
Explore how data science has become essential across diverse sectors, how people can learn about data science, and how engineers can transition into this field.
-
In the final part of this three-part series, we extend our learning of Part 2 to the multivariate model and train a single model to predict three outcomes: oil, gas, and water.
-
In Part 2 of this three-part series, we dive into a practical example using the production data of Equinor’s Volve field data set.
-
In Part 1 of this three-part series, we use long short-term memory (LSTM), a machine learning technique, to predict oil, gas, and water production using real field data.
-
Register today for the SPE AI Hackathon taking place 7–9 May in Dubai.
-
The Unmanned Technical Section has updated its name to the Robotics and Autonomous Systems Technical Section.
-
The oil and gas industry’s sustainability and success depend on its ability to cultivate and nurture a skilled and knowledgeable workforce.
-
This article provides a mirror between the past and the present of well intervention technologies, including R&D to advance to downhole robots and autonomous intervention methods.
-
Registration is open for the SPE Europe Energy GeoHackathon, which will be held in October and November. It will be preceded by 4-week online bootcamp sessions on data science and geothermal energy, which will begin on 2 October.
