Saif Ur Rehman

DeepLearning.AI

Saif Ur Rehman is a deep learning mentor volunteer at DeepLearning.AI. With a background in petroleum engineering, he is passionate about merging machine learning with reservoir simulation to provide AI-driven solutions to petroleum industry challenges. He holds a BS in petroleum engineering from Dawood University of Engineering and Technology (DUET), and has been actively involved with SPE since 2015. He is currently serving as the International PetroBowl Question Writing Volunteer for 2023 and held the same role in 2022. He was also an Ambassador Lecturer for SPE in 2021 and served as president of the SPE DUET Student Chapter in 2017.

Technology

LSTM for Production: Part 3

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.

April 15, 2024 • Saif Ur Rehman • The Way Ahead
Technology

LSTM for Production: Part 2

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.

March 28, 2024 • Saif Ur Rehman • The Way Ahead
AI/machine learning

LSTM for Production: Part 1

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.

March 7, 2024 • Saif Ur Rehman • The Way Ahead
Digital Transformation

Machine Learning Guide for Petroleum Professionals: Part 4

Join us for the final installment in our four-part series focused on addressing the implementation of AI in the petroleum industry using a real case study.

April 2, 2023 • Saif Ur Rehman • The Way Ahead
AI/machine learning

Machine Learning Guide for Petroleum Professionals: Part 3

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.

March 19, 2023 • Saif Ur Rehman • The Way Ahead
AI/machine learning

Machine Learning Guide for Petroleum Professionals: Part 2

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.

March 1, 2023 • Saif Ur Rehman • The Way Ahead
AI/machine learning

Machine Learning Guide for Petroleum Professionals: Part 1

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.

February 7, 2023 • Saif Ur Rehman • The Way Ahead