Advanced Python for Reservoir, Production and Petrophysics

Digital Oil & GasBeginner to Intermediate• 16+ Hours

Overview

A 16+ hour hands-on program designed to help learners apply Python to real petroleum workflows—covering production analytics, reservoir simulation, well log processing, and machine learning for petrophysics. Ideal for students and professionals seeking fast, industry-relevant upskilling.

What You'll Learn

Analyze multi-well production data using Python
Apply ML & regression methods for DCA & production forecasting
Process LAS/DLIS logs & visualize core CT-scan data
Build facies classification models using petrophysical logs
Predict permeability using neural networks
Run reservoir simulations & optimize well placement using PyMRST

Course Curriculum

1Handling multi-well production datasets using Python & Pandas

2Time-series visualization: trends, anomalies, moving averages

3Importing and processing LAS / DLIS well log files

4Visualizing CT-scan core images & depth-wise interpretation

5Facies classification using ML algorithms (SVM, Random Forest, XGBoost)

6Processing multi-well Routine Core Analysis (RCA) datasets

7Exploratory Data Analysis (EDA) for permeability correlations

₹11000

Full lifetime access

Self-Paced Learning
Certificate of completion
Lifetime access
Expert mentorship

Download Course Brochure

Feature engineering for geological & petrophysical parameters

9Introduction to PyMRST & setting up Python-based reservoir simulations

10Simulating waterflood scenarios: normal vs inverted injection

11Analyzing saturation maps, pressure fields & production response

12Hands-on Python notebooks for reservoir, production & petrophysics

13Real-world mini-projects covering all domains

14End-to-end coding workflows using Google Colab (no installation needed)