Course Overview
This course is designed to make students fully appreciate the challenges of Oil & Gas, and accustom themselves to ways of data science. Students will learn to solve industry challenges in the upstream sector by implementing knowledge of supervised and unsupervised learning methods.
Topics Covered
- What is Machine Learning
- Solving Partial Differential Equations in Python
- Extracting Features from Dynacard
- Creating a Digital Twin
- Creating a Machine Learning Model
- Feature Engineering
Course Curriculam
Python
Tensorflow
Numpy and Pandas
OpenCV
Image Preprocessing
Edge Detection
Object Detection
Supervised Learning
Projects you will build
![](https://petrocoder.com/vendor/codefire/cfusermgmt/web/images/uploaded_images/course_projects/8281613542876Tanks.jpg)
Artificial Intelligence
AST Bottom Plate Monitoring
Corrosion Monitoring, Predictive Maintenance
![](https://petrocoder.com/vendor/codefire/cfusermgmt/web/images/uploaded_images/course_projects/6241613543306shutterstock-1392378041.jpg)
Artificial Intelligence
Digital Twin for Sucker Rod Pump
Digital Twin, Prescriptive Maintenance