Mastering Machine Learning for Enhanced Production and Reservoir Forecasting Analytics
Digital Oil & GasBeginner to Intermediate• 20+ Hours
Overview
Master enhanced production and reservoir forecasting using machine learning. This program blends core petroleum concepts with practical ML applications, enabling participants to analyze production systems, build forecasting models, and optimize PCP, SRP, and ESP operations using real datasets.
What You'll Learn
Build and evaluate ML models for production & reservoir forecasting
Perform data preprocessing, feature engineering, and time-series analysis
Apply ML techniques to PCP, SRP & ESP optimization
Analyze reservoir datasets using advanced ML methods
Gain hands-on experience with Python-based workflows
Course Curriculum
1Overview of production forecasting and analytics for the oil & gas industry
2Introduction to PCP, SRP, and ESP production systems
3Components, operation principles, and production challenges for PCP, SRP, ESP
4Production data collection techniques & preprocessing workflows
5Feature engineering methods for production datasets
6Machine Learning models for production forecasting including regression, Random Forest, Gradient Boosting, Neural Networks
7Model evaluation: performance metrics and validation techniques
