• Class and Course

    Geophysics for Data Scientists

    Data Analysts, working with geophysical data, must understand what geophysics is about. That doesn’t mean they need to know the ins-and-outs of these subjects, but at least know the terminology and the overall context for which they need to provide the Machine / Deep learning tools. Therefore, this course will be a first step in providing the necessary geophysical background.

    As it is assumed that the Data Analysts are familiar with mathematics and statistics, the course will include advanced geophysical subjects. A general overview of seismic and non-seismic acquisition, processing and interpretation will be followed by various uses of Machine / Deep learning for Geophysical Applications. We will predict lithology and pore fluids as well as Facies to learn the Deep Learning workflows and algorithms needed in geophysics. Use will be made of open-source software: TensorFlow and Keras. Power-point presentations and videos will introduce various aspects, but the emphasis is on computer-based exercises. The exercises deal with pre-conditioning the datasets and applying several methods to classify / cluster the data: Multilayer Perceptron, Support Vector, Nearest Neighbour, AdaBoost, Trees. Non-linear Regression is used to predict porosity. Use will be made of Google Colab and Scikit-Learn. It runs on the Cloud and allows use of a GPU. It is “the way” to learn using a whole range of open-source Deep Learning algorithms for geophysical applications.

    The course consists of many exercises as I am a strong believer in the paradigm: Tell me and I will forget, show me and I might remember, involve me (through exercises) and I will truly learn.

    At the end of the course participants will have a clear idea of what goes on in Geophysics and how Artificial Intelligence will impact the future of Geosciences. Quizzes are provided to enhance the learning.

    This course can be delivered remotely.


    Day 1

    • Program, Biography, Teams
    • Moodle, Geophysical Methods
    • Seismic Data
    • Non-Seismic Data
    • Ex Shot raypaths
    • Gravity
    • Magnetics
    • Ex Sampling and Aliasing
    • Ex Field Record
    • Team A preparation


    Day 2

    •  Team A: Summary Day 1
    • Seismic Acquisition
    • Ex Gravity & Magnetics
    • Wave propagation
    • Ex Reflection & Transmission,
    • Seismic Processing
    • Stacking & Migration
    • Ex Correlation & Convolution
    • Ex Diffraction
    • Team B preparation


    Day 3

    • Team B: Summary Day 2
    • Ex Migration diffraction curves
    • Quantitative Interpretation
    • Ex Migration wavefronts,
    • AVO/AVA
    • Ex Time-Depth-Conversion: Stretch
    • Ex Amplitudes
    • Ex Time-Depth-Conversion: Raytracing
    • Ex Direct Hydrocarbon Indicators
    • Team C preparation


    Day 4

    • Team C: Summary Day 3
    • Machine Learning for Geophysics
    • Ex Lith Classification
    • Clustering
    • Ex Facies Clustering
    • DL 4D Brazil
    • Ex Facies-Merged_Reload_Test-Well_Classification
    • Deep Learning for Geophysics
    • Ex Oil Saturation Regression
    • Team D preparation


    Day 5

    • Team D: Summary Day 4
    • You ain’t seen nothing yet
    • Ex Salt-Segmentation-CNN
    • Semi-supervised Learning in Geophysics
    • Ex Salt-Segmentation-U-net
    • Inversion versus AI
    • VOI-Geothermal & CO2 Sequestration
    • Ex AI Inversion
    • ChatGPT: questions you never dared to ask!

    IT Data Analysts who will be cooperating with geoscientists to develop AI methods for exploration and development of hydrocarbons or mineral resources. Also, application for geothermal and CO2 storage are discussed.

    • Seismic data
    • Non-seismic data
    • Gravity
    • Magnetics
    • Seismic acquisition
    • Wave propagation
    • Seismic processing
    • Stacking & migration
    • Quantitative Interpretation
    • AVO / AVA
    • Seismic amplitudes
    • Machine Learning for Geophysics
    • Clustering
    • 4D seismic
    • Deep Learning for Geophysics
    • Semi-supervised Learning in Geophysics
    • Inversion versus AI
    • VOI-Geothermal & CO2 Sequestration
    • ChatGPT: questions you never dared to ask!

    A good understanding of mathematics, statistics and to some degree of physics.

    Currently there are no scheduled classes for this course.

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