Online Live Streaming Course
2 sessions ( approx. 4 hours each) , December 16 y 17, 2024
Duration : 8 hours
Pre-requisites: Basic Python and coding skills are required. Participants should be comfortable with data manipulation using Pandas data frames and importing various data types into Python, including ASCII, LAS, and WITSML. Participants should have basic knowledge of petrophysical operations, tool selection, and well log interpretation, including calculating parameters like water saturation and shale volume.
What You Will Learn:
- How to use modeling to assess the quality of logging measurements and predict missing sensor values, helping you optimize logging runs.
- Techniques to compute petrophysical parameters and interpretations using Python.
- Statistical modeling for evaluating well quality.
- Introduction to generative AI and large language models (LLMs) and their potential applications in petrophysics.
Why Take This Course:
You’ll learn to maximize insights from your data, improving both operational efficiency and interpretation accuracy.
