Applied Neural Networks and Deep Learning for Oil and Gas Industry
Saturday, September 27 - Sunday 28, 2025
9 Pm Indian Time
60 Minutes / Day

This workshop introduces the core concepts of deep learning through the lens of oil and gas operations. Participants will gain foundational knowledge of artificial neural networks (ANNs), model architectures, and training strategies, and apply them to real-world datasets using Python and open-source libraries such as TensorFlow and Keras.
Workshop Objectives
D1 : Introduction to Deep Learning
• Introduction is artificial Intelligence
• What is Neural Network
• Basic Task Achievable using Neural Networks
• Introduction To Regression
• Basics of Label Prediction
• Mini Project – Predicting Water Cut using Visual Deep Learning.
D2 : Predicting Labels and Events
• Introduction to classification
• Labels, Events and Descriptions in Oil and Gas Industry
• How Neural Network can predict a problem and/or an event.
• Mini Project – Predicting Events in Gas Wells.
• Mini Project - Generating an Isobaric Map using AI/ML
About the Presenter
Mr. Nashat Jumaah Omar - 12+Years of Experience In Oil & Gas Industry
Reservoir simulation & prediction
This workshop explores reservoir simulation techniques used to model underground oil and gas reservoirs and predict their future performance. Participants will learn how to build geological and reservoir models, run numerical simulations, and interpret results to optimize recovery strategies. The course covers history matching, sensitivity analysis, and forecasting under uncertainty to support efficient reservoir development planning.