Chapter 1 - Course Introduction

01-01 - Course Introduction (20 min.) Sample Lesson Quiz: 01-01 - Course Introduction

Chapter 2 - Introduction to Well Log Data and Petrophysics

02-01 - Introduction to Well Log Data and Petrophysics (14 min.) Quiz: 02-01 - Introduction to Well Log Data and Petrophysics

Chapter 3 - Understand The Fundamentals Of Petrophysics

03-01 - Introduction to Machine Learning (18 min.)
03-02 - Workflow of an ML Project (14 min.)
03-03 - Coding with AI (4 min.) Quiz: 03-03 - Coding with AI

Chapter 4 - Training vs. Test Data In Petrophysics

04-01 - Training vs. Test Data in Petrophysics (17 min.) Quiz: 04-01 - Training vs. Test Data in Petrophysics

Chapter 5 - Python And Petrophysical Data

05-01 - Python and Petrophysical Data (16 min.)
05-02 - Checking The Python Setup (4 min.)
05-03 - Reading LAS Files (13 min.)
05-04 - Some Basic Examples (16 min.)
05-05 - Data Display With Commercial Software (7 min.)
05-06 - Pre-Processing Data (8 min.)
05-07 - Pre-Processing Examples (20 min.) Quiz: 05-07 - Pre-Processing Examples

Chapter 6 - Clustering Methods For Petrophysical Data

06-01 - Clustering Methods for Petrophysical Data (13 min.)
06-02 - K-Means Clustering Exercise (17 min.)
06-03 - K-Means Clustering Exercise - Visualization (16 min.)
06-04 - Key Takeaways (6 min.) Quiz: 06-04 - Key Takeaways

Chapter 7 - Classification Methods For Petrophysical Data

07-01 - Classification Methods for Petrophysical Data (9 min.)
07-02 - Ensemble Methods (14 min.)
07-03 - Random Forest - Net Pay Exercise (16 min.)
07-04 - Net Pay Exercise (Continued) (12 min.)
07-05 - Lithology Classification Exercise (13 min.)
07-06 - Lithology Classification Exercise (continued) (10 min.)
07-07 - Exercise Overview & Key Takeaways (8 min.) Quiz: 07-07 - Exercise Overview & Key Takeaways

Chapter 8 - Regression Methods For Petrophysical Data

08-01 - Regression Methods for Petrophysical Data (6 min.)
08-02 - Common Regression Methods (8 min.)
08-03 - Regression Exercises - Overview (3 min.)
08-04 - Regression Exercise 1 (22 min.)
08-05 - Regression Exercise 1 - Key Takeaways (5 min.)
08-06 - TOC Prediction - Exercise 2 (4 min.)
08-07 - TOC Prediction - Key Takeaways (11 min.)
08-08 - Regression Summary (3 min.) Quiz: 08-08 - Regression Summary

Chapter 9 - Model Deployment

09-01 - Model Deployment (14 min.) Quiz: 09-01 - Model Deployment

Chapter 10 - Course Wrap-Up

10-01 - Course Wrap-Up (14 min.) Quiz: 10-01 - Course Wrap-Up
10-02 - Bonus Lesson on LLMs (10 min.)

Practical Machine Learning for Well Log Data / Chapter 1 - Course Introduction

Quiz 01-01 - Course Introduction

In order to assess your understanding of the lesson materials, please select the most appropriate answer for each of the multiple choice questions below.

Question 1/1

What are business motivators for applying machine learning and AI

A
Increase staff productivity
B
Get better answers
C
Get answers faster
D
Decrease software spend
E
A,B & C above

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