• Class and Course

    Quantitative Reservoir Characterization | Blended course

    From seismic we not only can obtain the structure, but also the rock properties. We can determine whether we are dealing with reservoirs (sandstone, carbonates, even shales), sealing formations (shales, salt) or source rocks (shales, coals). For a reservoir, information on porosity and whether it is fractured, is important in relation to its permeability (How easy do hydrocarbons flow through the rocks). To obtain accurate information on the rock properties we require the right acquisition and processing. Acquisition should be geared to full illumination of the target resulting in maximum resolution, processing should provide reliable amplitude data. 

    In processing, considering two-way elastic wave propagation, as done in Reverse Time Migration (RTM), is a necessity for “true” amplitude imaging. Considering elastic propagation, which includes mode conversion, is also a pre-requisite when we analyze the (pre-stack) amplitude variation with offset (AVO) or better defined as amplitude variation with angle of incidence (AVA). 

    The course uses a Blended Learning approach based on a user-friendly Learning Management System, called Moodle. In Moodle different modules provide study material, videos, and exercises. The solutions to these exercises can be checked and feedback can be given.

    This course is a blended course. It is lead remotely by the instructor that has daily direct interactions with the trainees for several hours. Trainees are self-learning for the rest of the day by doing exercises and going through the course material. 

    The course consists of presentations, videos, and exercises. The presentations, also made available in pdf, are animated power point shows. The videos are either related to the exercises or general, some related to professional societies. In the exercises the methods discussed in the presentations are applied using computer programs. The solutions are discussed. Also, the course contains quizzes which are meant to reinforce the learning. Each quiz consists of multiple-choice questions. 


    Part 1

    • Introduction
    • Geophysical methods
    • Gravity
    • Magnetics
    • Intro Grav-Mag-EM
    • Seismic Acq & Proc
    • Seismic workflow
    • Seismic for QI
    • EM
    • Rock physics
    • Effective media
    • Tuning

    Part 2

    • Structural interpretation
    • Stratigraphic interpretation
    • AVO
    • AVA
    • Anisotropy
    • Elastic impedance
    • Extended EI

    Part 3

    • Inhomo & Aniso
    • FT & HT
    • Lamda-Mu-Rho
    • AVAz
    • Inversion

    Part 4

    • FWI
    • DHI
    • Classification
    • ML tutorial
    • Inv vs ML
    • Supervised, unsupervised, semi-supervised
    • Clustering

    Part 5

    • Data mining
    • Fractures
    • VOI
    • PP+PS=SS
    • Regression
    • AVAz fractures

    This course is the ultimate course for Quantitative Seismic Interpreters.

    Optimum seismic acquisition and processing will be discussed and the influence of layer thickness (tuning) on the reflection amplitude as function of angle of incidence on the target layer (AVA). The choice of the rock physics model, the use of effective media and the omnipresence of anisotropy are the core of this course. It will be shown how useful AVA analysis is to derive rock properties, including fracture orientation and density using not only PP, but also PS and SS reflections. The influence of Vertical Transvers Anisotropy (VTI), Horizontal Transvers Anisotropy (HTI) and Orthorhombic Anisotropy (Ortho) on AVA will be modelled. Finally, Machine Learning examples and an exercise will show its increasing importance for Reservoir Characterization.

    A good understanding of geophysics, petrophysics and geology.

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