Artificial Intelligence,Machine Learning

Applying AI in Artificial Lift

Level: Basic Grades: Finished College
Artificial Intelligence,Machine Learning
30 Hours of LIVE instruction
Weekend and Weekdays
45000.00 50000.00
10% off

Course Overview 5/5

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

Pick a batch

Session 1:1st Jan Thursday
07:00 - 08:00PM
Session 2:1st Jan Thursday
07:00 - 08:00PM
Session 1:1st Jan Thursday
12:00 - 01:00PM
Session 2:1st Jan Thursday
12:00 - 01:00PM
Python Tensorflow Numpy and Pandas OpenCV Image Preprocessing Edge Detection Object Detection Supervised Learning

Projects you will build

AST Bottom Plate Monitoring

Integrating the corrosion data with a simulation model to create a “digital twin” .

Artificial Intelligence
AST Bottom Plate Monitoring
Corrosion Monitoring, Predictive Maintenance

Digital Twin for Sucker Rod Pump

Calculating downhole dynacard from surface dynacard and pump failure identification using automated dynacard identification.

Artificial Intelligence
Digital Twin for Sucker Rod Pump
Digital Twin, Prescriptive Maintenance

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.