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DAT 606

Petroleum Data Analytics

Petroleum Data Analytics (PDA) is the application of Artificial Intelligence (AI) and Machine Learning (ML) in the oil and gas industry

COURSE SCHEDULE

Code Date Location price (€)*
DAT 606 1 - 5 Jun 2025 Stavanger 3990

* Prices are subject to VAT and local terms. Ph.D. students, groups (≥ 3 persons) and early bird registrants (8 weeks in advance) are entitled to a DISCOUNT!

COURSE OVERVIEW

COURSE OUTLINE

5 days
Day 1

o   Definitions

o   Brief History

o   Modeling Physics Using Artificial Intelligence

o   Engineering Application of Artificial Intelligence

o   Traditional Statistics versus Artificial Intelligence

o   Hybrid Models

Day 2

o   Artificial Neural Network

o   Fuzzy Set Theory

o   Evolutionary Computing

o   Explainable Artificial Intelligence (XAI)

o   Ethics of Artificial Intelligence (AI-Ethics)

Day 3

o   Top-Down Modeling

o  AI-based Modeling using Space and Time Field Measurements

o  Spatio-Temporal Database Generation

o  Automated, Full Field History Matching

o  Blind Validation of History Match in Space and Time

o  Production Forecasting

o  Sensitivity Analysis

o  Production Optimization

o  Injection Optimization

o  Infill Location Optimization

o   Geo-Analytics: AI-base Geological Modeling

o   Dynamic Production Allocation

o   Actual Case Studies

o  Matura Field Production Optimization in the Middle East

o  Matura Field Production Optimization in the Southeast Asia

Day 4

o   Traditional Proxy Modeling

o  Reduced Order Modeling (ROM)

o  Response Surface Modeling (RSM)

o   Smart Proxy Modeling

o  Expertise in Numerical Reservoir Simulation

o  Spatio-Temporal Database Generation

o  Accuracy of Smart Proxy Model in Space and Time

o  Blind Validation of Numerical Reservoir Simulation Runs

o   CCS-Analytics (AI-based Carbon Capture and Storage)

o  Geological Realizations

o  Reservoir Pressure Distribution in Space and Time

o  CO2 Saturation Distribution in Space and Time

o   Case Studies

o  Smart Proxy Model of Mature Field in Middle East

o  Smart Proxy Model of CO2 Injection in Saline Aquifer

Day 5

INSTRUCTOR

Professor Shahab D. Mohaghegh

FAQ

DESIGNED FOR

This course is designed for Petroleum engineers and geoscientists as well as managers and decision makers in NOCs, IOCs, Independents, and Service Providers. In general, those involved in planning, and decision making of hydrocarbon assets are the main target audience.

COURSE LEVEL

o Intermediate to Advanced 

LEARNING OBJECTIVES

The objective of this weeklong course is to provide the required and realistic foundations of Petroleum Data Analytics to the new generation of petroleum professionals that have recognized the potential of AI and ML in our industry.

REGISTER

Registration is now OPEN!

* Prices are subject to VAT and local terms. Ph.D. students, groups (≥ 3 persons) and early bird registrants (8 weeks in advance) are entitled to a DISCOUNT!

For more details and registration please send email to: register@petro-teach.com

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