preloader

DAT 608

Machine Learning Guide for Oil and Gas Using Python

COURSE SCHEDULE

Code Date Location price (€)*
DAT 608 19 - 23 Oct 2025 Online 1990
DAT 608 15 - 23 Aug 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 Machine Learning and Python applications

o Python installation (Anaconda installation)

o Jupyter Notebook interface and functionalities

o NumPy

Day 2

o Pandas data frame processing with completions data set examples

o Data visualization with Matplotlib and Seaborn

Day 3

o Data preprocessing

o Model Building for real-time drilling and production applications

o Unsupervised machine learning

Day 4

o Introduction to predictive model characteristics

o Linear Regressions for production optimization

o Logistic Regression for geologic facies classification

o K-Nearest Neighbor (KNN) for geologic log imputation

o Decision Trees (DT) and Random Forest (RF) for completions design optimization

o Support Vector Machine (SVM)

Day 5

o Neural Networks for sonic log generation and CUM/ ft production forecasting

o Model Evaluation for drilling, completions, reservoir, etc.

INSTRUCTOR

Dr. Hoss Belyadi

FAQ

DESIGNED FOR

o Engineers, software developers, data scientists, data engineers, data enthusiasts, business analysts, financial analysts, technical support, university professors, and even executives that would like to learn about this fascinating field
o Anyone in the organization who has the slightest passion for implementing AI, ML
o Advanced Python and ML users

COURSE LEVEL

o Beginer to Intermediate 

LEARNING OBJECTIVES

You will gain new knowledge and experience in these things:
*   Writing effective programs with Python language
*   Learning the basics and some advanced techniques of data analysis and
visualizations
*   Well-log data visualization and petrophysical analysis
*   Numerical methods for reservoir engineering
*   Production data analysis and forecasting

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

REQUEST IN HOUSE

Would you like a PetroTeach training course delivered at a time or location to suit you? 

click for request in house

Shopping cart
We use cookies to improve your experience on our website. By browsing this website, you agree to our use of cookies.
Start typing to see products you are looking for.