Data & Analytics
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.
-
Continue our journey with Part 3 of this four-part series focused on addressing the implementation of AI in the petroleum industry using a real case study. -
Join us for Part 2 of a four-part series focused on addressing the implementation of AI in the petroleum industry using a real case study.
-
The program is designed to analyze, report, and study solutions for oil and gas greenhouse gas emissions.
-
Grab a pen and paper and settle in for Part 1 of a four-part series focused on addressing the implementation of AI in the petroleum industry using a real case study.
-
Texas A&M is offering a course designed in collaboration with Peloton for students in the petroleum engineering program.
-
TWA editors met with Dr. Satyam Priyadarshy, a technology fellow and chief data scientist at Halliburton, about how young professionals can prepare themselves for the application of data science in their work and how to approach problems and challenges.
-
SPE has established three new technical sections—the Management Technical Section, the Methane Emissions Management Technical Section, and the Data Science & Engineering Analytics Technical Section.
-
Schneider Electric University has been designed to help data center professionals expand their skills by offering free guidance on the latest technology, sustainability, and energy efficiency initiatives.
-
The ethics of artificial intelligence (AI) has become an important topic in the application of AI and machine learning in the past several years. This first part of a two-part series explains the evolution and importance of the ethics of AI. The second part will present its relevance and use in engineering applications.
-
The 2021 Geothermal Experience Datathon focused on the application of analytics and data-science tools on oil and gas well-log data to assess geothermal potential in two North American basins.
