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    Class and Course
    1. NExT
    2. Petrotechnical
    3. Non-Seismic Data Acquisition and Processing

    Non-Seismic Data Acquisition and Processing

    • Foundation
    • 5 Days
    • classroom1Classroom

    Various kinds of geophysical data are available. They are usually separated into Seismic and Non-Seismic data. Seismic is, without any doubt, the main method used in the oil and gas industry. But Non-Seismic data (gravity, magnetics, electrical, electromagnetics, spectral, etc.) is the main source of information in shallow subsurface applications (engineering, mapping pollution, archaeology, etc.). It is also used at the early reconnaissance of hydrocarbon plays and in mapping prospects below salt.

    After discussing the context within which non-seismic methods play a role, the course will deal extensively with gravity, magnetics, electrical and electromagnetic methods. The theory will be explained and applied in numerous exercises to enhance the learning. Also, participant presentations and subsequent discussion are a major part of the course.

    This course can be delivered remotely. 

     
    Agenda

    Day 1 Gravity

    • Introduction to the course
    • Lectures: Geophysical Methods, Gravity
    • Exercises: Contour map
    • Lectures: Gravity Surveying
    • Exercises: Depth Sphere, Depth Anticline, Depth Estimation, Swing
    • Videos: Gravity, Gravity Train, Taipei Tower, The North
    • Exercises: Resolution, Gravity Sphere
    • Videos: Magnetics
    • Exercises: Grav2dc 4D
    • Exercises: Grav2dc Inv
    • Quiz1

     

    Day 2 Magnetics

    • Videos: Magnetics, Grav-Mag
    • Lectures: Magnetics, Grav_Mag signatures
    • Exercises: Local Mag, Mag Latitudes, Magnetics
    • Lectures: Seismic-Magnetics-Gravity-Gradiometry
    • Exercises: Mag2dc Inclination, Mag2dc Inv, Resolution Basement
    • Videos: Magnetic Dangers, Tokyo Skytree
    • Exercises: Geomodel Inv, Grav-Mag
    • Lectures: Electrical surveying I
    • Exercises: Resistivity profiles
    • Lectures: Electrical surveying I
    • Exercises: Effective Resistance
    • Quiz 2

     

    Day 3 E & EM

    • Lectures: Electrical surveying
    • Exercises: Elec Survey
    • Lectures: EM Land surveying
    • Exercise: E-Refraction
    • Videos: Resistivity Profiles, Effective Resistance E-Refraction
    • Exercises: EM Refraction
    • Lectures: Induced Polarization, EM Marine
    • Videos: EM, CSEM, EAGE Magnetics
    • Exercises: EM, TEM
    • Lecture EM Marine, Scripps Modelling
    • Exercises: MT
    • Quiz 3

     

    Day 4 EM & CSEM

    • Exercises: To Use or not to Use, skin-depth & velocity
    • Exercises: CSEM
    • Lectures: EM Terminology
    • Exercises: Scripps Modelling I
    • Lectures: Inversion
    • Exercises: TDEM
    • Videos: EMGS (Vessel, Intro, Workflow
    • Videos: Bayes Rule
    • Lectures: Airborne EM, Time lapse
    • Exercises: Scripps Modelling II
    • Lectures: Joint Inversion: EM & FWI
    • Quiz 4

     

    Day 5 VOI & ML

    • Lectures: Machine learning, SOM
    • Exercises: VOI A
    • Lectures: Lithology
    • Exercises: VOI B, C, D, E
    • Lectures: Weka
    • Videos: PGK ML
    • Exercises: ML Rocks
    • Quiz 5
    • Course Evaluation

    All those involved in specifying & performing quality assessment of work performed by service providers or executing themselves part of non-seismic acquisition and processing of non-seismic data. Hence, geologists, processors and geophysicists involved in exploration and development of hydrocarbons, searching for fresh water, mitigation of polluted sites and shallow subsurface engineering.


    · Benefits and limitations of seismic data

    · Gravity

    · Magnetics

    · Electrical

    · Electromagnetics

    · Land Electro-Magnetic methods (GPR)

    · Marine Electro-Magnetic methods (CSEM)

    · Magneto-Tellurics methods (MT)

    · Joint Inversion of non-seismic and seismic data

    · Value of Information Exercises for non-seismic acquisition

    · Machine Learning Applications for Non-seismic data

    A basic understanding of Geophysics and Geology, with preferably some operational experience in applying geosciences.

     


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