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Data Science & Machine Learning for GGRE Applications
This course introduces the principles of Data Science & Machine Learning applied to the Petroleum Industry, especially used for Geoscientist and Reservoir Engineering Applications. Participants will all the basic and benefit from Phyton for Geoscientist, Basic Data Science and Geostatistics, Well-log analysis, Correlation and Classification using Phyton, until the multipurpose of Phyton for several project in Upstream Oil and Gas Industry.
Course Info
Schedule
Day 1
- Basic Python for Geoscientists:Text, CSV, and Binary File IO, List, Tuple, Set, Dictionary, 1D and 2D Array, If Then Else, Function, Loop-Iterations, Pandas
- Basic Data Science and Geo-statistics using Python
- Well logs analysis using Pandas: Filtering, de-spike, casing-shoe editing & Well logs manipulation and computation
- Well logs visualization using Python Library: Single Curves, Multi-curves, 2D and 3D Crossplots, “Sand-Shale” Fill, Well-Image Visualization
Day 2
- Supervised Machine Learning Fundamentals for Geoscience Applications: Support Vector Machine , K-Nearest Neighbors, Customized K-Nearest Neighbours, Arti?cial Neural Network
Day 3
- Decoding Seismic SEGY Format
- Storing Seismic Data into SQLite Database
- Simple Seismic Processing using Python
- Seismic 2D Visualization using Python Library
- Big Data Computation using Multi-cores Infrastructure
The audience of this course is all of geoscientist and reservoir engineer which needs the use of Data Science and Machine Learning
More than 20 years of experience working with national and multinational oil and gas industries, and universities. Hands on experience in 2D and 3D land/marine, multicomponent and PS seismic processing and geophysical analysis. Solid geophysical programming skill, developing geophysical software, both stand alone and web based using Python, Perl, C++ and Javascript. Currently active in delivering both on premise and online Python for Geoscientists course including Machine Learning, Deep Learning and its implementation on geophysical data.