Course Objective

This course aims to equip participants with the knowledge and skills to leverage Machine

Learning techniques for production forecasting and optimization in the Oil & Gas industry. The

program will provide hands-on experience in time series forecasting, well performance

optimization, and advanced anomaly detection using statistical and deep learning methods.

Learning Objectives

➢ Understand the fundamentals of machine learning and its applications in Oil & Gas

production forecasting.

➢ Analyse and visualize time series data using statistical and signal processing techniques.

➢ Build and evaluate statistical models such as ARIMA and deep learning models like

LSTMs for production forecasting.

➢ Apply machine learning algorithms for production optimization, including gas lift and

choke optimization.

➢ Identify and mitigate anomalies using advanced ML-based techniques.

Prerequisites:

✓ Will teach from scratch, so no perquisites as such required

✓ Having knowledge of data visualization, graphs and charts will be add on advantage.

Topics to be covered:

Module 1: Introduction to Machine Learning and Time Series Data

Module 2: Mathematics & Statistics for Time Series Forecasting

Module 3: Time Series Visualization and Signal Analysis

Module 4: Statistical Models and Machine Learning Techniques

Module 5: Production Optimization with Machine Learning

Module 6: Advanced Techniques and Case Studies

Benefits of Joining This Program

✓ Gain hands-on experience in machine learning applications tailored for the Oil & Gas industry.

✓ Enhance career prospects in data science, digital transformation, and production optimization roles.

✓ Learn to apply advanced statistical and deep learning techniques to solve real-world problems.

✓ Work on capstone projects to build a professional portfolio.

✓ Access course materials and recorded sessions for continuous learning and skill enhancement

FAQs

Who should enroll in this course?

Engineers, data analysts, and professionals in the Oil & Gas industry looking to enhance their skills in production forecasting and machine learning.

Do I need prior programming knowledge?

Basic knowledge of Python and data analysis is recommended but not mandatory.

What tools will be used in the course?

The course will use Python, Jupyter Notebooks, and libraries like Pandas.

Will I receive a certificate upon completion?

Yes, participants will receive a certificate of completion from Edvantage Learning Solutions.

Is there any project work involved?

Yes, participants will work on a capstone project involving real-world production forecasting scenarios.

Are there any prerequisites?

A basic understanding of Oil & Gas processes and statistical concepts is beneficial.

Can I access the course materials after completion?

Yes, participants will have access to course materials and recorded sessions.