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DAT 608

Machine Learning Guide for Oil and Gas Using Python

COURSE SCHEDULE

Code Date Location price (€)*
DAT 608 23 - 27 Oct 2023 Online 1790
DAT 608 21 - 25 Oct 2024 Online 1990
DAT 608 15 - 23 Aug 2024 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

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