

Petroleum Data Analytics
This course in Petroleum Data Analytics empowers professionals in the oil and gas sector with the skills to analyze and interpret data for more effective decision-making. Learn to leverage data to enhance production, optimize operations, and gain a competitive edge in the industry.
Description
The Petroleum Data Analytics course is designed to bridge the gap between traditional petroleum engineering and modern data analytics. Participants will learn how to utilize data-driven insights to optimize petroleum exploration, production, and reservoir management. The course covers essential concepts, tools, and techniques in data analysis, tailored specifically for the petroleum industry, equipping professionals with the ability to make informed decisions and solve complex challenges.
Demo Class
Introduction
In the rapidly evolving oil and gas industry, data analytics has become a vital tool for optimizing operations and enhancing decision-making processes. This Petroleum Data Analytics course is crafted to provide participants with the knowledge and skills to turn raw data into valuable insights. With a focus on practical applications, the course aims to transform the way professionals approach data in petroleum engineering.
Objectives
Training Methodology
This course employs a blend of theoretical knowledge and practical exercises. Participants will engage in hands-on activities using real-world data sets, case studies, and interactive discussions. The methodology ensures a comprehensive understanding of data analytics principles, with direct application to the petroleum industry.
Organisational Impact
Personal Impact
Who Should Attend?
This course is ideal for professionals in the oil and gas industry, including:
- Petroleum engineers and geoscientists
- Data analysts and data scientists working in the energy sector
- Production and reservoir engineers
- Technical managers and decision-makers in oil and gas companies
- Anyone interested in leveraging data analytics to enhance petroleum operations
- Day 1 - Artificial Intelligence and Machine Learning: Theoretical Background
- Day 2 - Petroleum Data Analytics
- Day 3 - AI-based (Top-Down) Reservoir Simulation and Modeling
- Day 4 - AI-based Proxy Modeling of Numerical Reservoir Simulation: Smart Proxy Modeling
- Day 5 - AI-based Completion and Production Optimization of Shale Wells: Shale Analytics
On successful completion of this training course, PEA Certificate will be awarded to the delegates