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Introduction to Machine Learning for Geoscience

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Introduction to Machine Learning for Geoscience
Introduction to Machine Learning for Geoscience

Time & Location

٠٧ نوفمبر ٢٠٢٠، ٧:٠٠ م – ١٢ نوفمبر ٢٠٢٠، ١١:٠٠ م

Hurghada, Hurghada, Red Sea Governorate, Egypt

About the Event

What is Data Science:

  • Data Science life cycle
  • Different types of Data Science jobs
  • Data Science example in O&G

● Programming concepts and workflow:

  • Coding workflow
  •  Which language we should start

● Learning Python:

  • Why we should learn coding
  • Numerical, array operations using (Numpy)
  • Data frame operation using (Pandas)
  • Plotting using (Matplotlib, Seaborn)
  •  Geoscience libraries
  •  Welly
  • Segyio

● Machine Learning:

  • Machine Learning vs coding
  • Machine Learning algorithm types
  • Machine Learning algorithms classification
  • Examples in Geoscience
  • Supervised Machine Learning example
  • Linear regression (LM)
  • Logistic regression (LR)
  • Support vector machine (SVM)
  • Clustering Machine Learning example
  • K-means
  • Principal Component analysis (PCA)
  • Random forest (RF)
  • Neural Network in theory and Application

Instructor : Mr Amr Abdel Fattah

A versatile and highly skilled Geophysicist has 12 years’ industry experience, and wide ranging expertise from interpretation in exploration and resource development to 3D depth imaging technology development and application using a wide range of geosciences software. experienced in seismic interpretation, prospect generation; computer mapping and 3D visualization.

 He has a good command of R programming and data analysis that empowers me to solve technical problems in particular in statistics, Monte Carlo simulation and machine learning.

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