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Data Science & Machine Learning for GGRE Application - Intermediate
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
- Intermediate Python for Geoscientists: Advanced 2D and 3D Plotting using Matplotlib and PyQtgraph, Matrix Operation including inversion using SVD and DampLSQR, Pandas manipulation, numpy and binary h5py, Geosciences Binary Format: Integer 32bits, IBM and IEEE
- Intermediate Geo-statistics using Python I : Inverse Distance Concept, Inverse Distanbce implementation fo Geoscience Problem
Day 2
- Intermediate Geo-statistics using Python II : Intermediate Geo-statistics using Python II
- Intermediate Machine Learning for Geosciences Problems : Remote Sensing Analysis using Machine Learning, Time Series Landsat and Morphology Changes Detection, Hyperion Data, Lithology prediction
Day 3
- Un-Supervised Machine Learning: DBSCAN/k-Means Clustering for Petrographic Analysis
- Deep Learning with Keras: P and S Sonic Prediction
- Simple Seismic Processing using Python
- Deep Learning for 2D Seismic Fault Detection
- Introduction to Google Colabs and Earth Engine
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.