Course Overview
This course is aimed at providing in-depth application of AI/ML in the Upstream & Midstream sectors. Students will be exposed to industry problems and will gain hands-on experience by working on several use cases. It covers different topics like reservoir modelling, logging, stress analysis, 3-D visualization, wave propagation, image classification which are aimed at building the core.
Topics Covered
- Creating a Machine Learning Model
- Feature Engineering
- Working with well logs in Python
Course Curriculam
Unsupervised Learning
Python
Tensorflow
Numpy and Pandas
OpenCV
Image Preprocessing
Edge Detection
Signal Preprocessing
Exploratory Data Analysis
Projects you will build
![](https://petrocoder.com/vendor/codefire/cfusermgmt/web/images/uploaded_images/course_projects/47316131266881 8LfWn9OQy-BPr9m9muAhLA.png)
Artificial Intelligence
Supervised Lithology Classification
EDA, Feature Engineering, Volve Dataset
![](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
![](https://petrocoder.com/vendor/codefire/cfusermgmt/web/images/uploaded_images/course_projects/2431613543539some-machine-learning-applications-in-seismic-interpretation-hero.jpg)
Artificial Intelligence
Machine Learning in Seismic Interpretation
Supervided Learning, Classification