Machine Learning,Supervised Learning

Machine learning in Oil & Gas

Level: Basic Grades: Working Professionals

Machine Learning,Supervised Learning

30 Hours of LIVE instruction

Weekend and Weekdays

1:1 1:5

45000.00 50000.00

10% off

Enrol Now

Course Overview 5/5

Topics Covered

What is Machine Learning

Creating a Machine Learning Model

Feature Engineering

Working with well logs in Python

Course Curriculam

Module 1: Exploratory Data Analysis 2 hrs.

Module 2: Data Preprocessing 2 hrs.

Module 3: Advanced Feature Engineering 4 hrs.

Module 4: Introduction to Deep Learning 2 hrs.

Module 5: Artificial Neural Network 2 hrs.

Module 6: Mini Project 8 hrs.

Module 7: Neural Networks for Subsurface 4 hrs.

Module 8: Convolutional Neural Network 2 hrs.

Module 9: Hyperparameter Tuning 4 hrs.

Pick a batch

1st Apr - 15th May
Mon, Tue, Wed, Thu, Fri
07:00 - 08:00PM

Session 1:1st Jan	Thursday	07:00 - 08:00PM
Session 2:1st Jan	Thursday	07:00 - 08:00PM

1st Apr - 31st Jul
Sat, Sun
12:00 - 01:00PM

Session 1:1st Jan	Thursday	12:00 - 01:00PM
Session 2:1st Jan	Thursday	12:00 - 01:00PM

Projects you will build

Supervised Lithology Classification

Using AI/ML tools to identify facies

Artificial Intelligence

Supervised Lithology Classification

EDA, Feature Engineering, Volve Dataset

Learn Effectively with our Industry Focused Approach

Petrocoder runs most specialised courses in oil & energy sector developed by industry specialists after several decades of experience.