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    Practical Depth Conversion with Petrel | RILS format (Remote Instructor-Led Series)

    This is a Remote Instructor Led Series (RILS) training. The remote classroom delivery is a modality that takes advantage of the instructor led training content, while allowing the same content to be delivered remotely.
    All training sessions will be delivered online with no face-to-face classroom attendance. This class will be delivered in 4 hours daily sessions over 5 days

    Depthconversion (domain conversion) of seismic time interpretations and related datawithin Petrel is a critical skill set for interpreters. However, there is nosingle methodology that is optimal for all cases since the available seismicand geologic control varies in quantity and quality within each project. To impartan effective approach to depth conversion, the first part of this courseprioritizes understanding the nature of velocity fields and practicalapproaches to velocity representation. Next, appropriate (vertical) time-to-depthconversion methods are presented in case history and exercise form. Single-layerand more sophisticated multi-layer approaches are reviewed along with structural-uncertaintyanalysis.

    Depth conversion must also embrace the process of databasevalidation. The database QC issues reviewed include: incorrect locations anddeviations for wells, improper assessment of seismic polarity and phase, mis-correlatedseismic horizons, and inconsistent formation tops. The issues above compromisethe interpretation, introduce distortions in the implied velocity field, and canresult in false structures. Database validation is addressed via the formationof synthetic seismograms to confirm horizon correlations and the use of intuitiveQCs such as seismic horizon versus well-top cross plots to detectinconsistencies.

    Prestack depth migration is nowcommonplace, and there is always the need to calibrate the depth volumes withwell tops. The same basic QCs and methods used for vertical time-to-depthconversion are used to validate the fidelity of the formation tops and the seismicdepth surfaces used for calibration. This is particularly important duringanisotropic depth migration where inconsistencies between well control and theseismic interpretation impact the estimation of anisotropic parameters, resultingin a compromised depth-imaging project.

    This course emphasizes theformation of velocity models appropriate for the available data. This is incontext to creating Petrel Velocity and Structural Framework Models suitablefor reservoir characterization employing depth-calibrated seismic inversions andother attribute cubes precisely integrated with the well information. Structuraluncertainty analysis is also covered using various approaches to provide acritical metric for depth estimation.

    Day 1: Practical Depth Conversion with Petrel

    Module 1: Overview of Depth Conversion

    Learning Objectives and Importance:    

    • Discuss goals for vertical time-to-depth conversion


    • Accuracies for  relative structure, well prognoses, volumetric estimates and reservoir models
    • Database validation QCs


    Module 2: Sources of Velocity

    Learning Objectives and Importance:    

    • Review sources of velocity information


    • Sonic logs, check shots and VSPs
    • Refraction and reflection seismic
    • Full Waveform Inversion
    • PSDM Tomography


    Module 3: Defining Velocity Types

    Learning Objectives and Importance:    

    • Review definitions and characteristics of velocities for Petrel representation


    • Types of velocities and Petrel representations (templates)
    • Basic conversion of velocity types (e.g. RMS to Interval)
    • Import and conversion of velocity text files
    • Creating Petrel seismic velocity cubes from text files


    Day 2: Practical Depth Conversion with Petrel

    Module 4: Functional Representation of Velocities

    Learning Objectives and Importance:    

    • Define velocities fields using vertical functions


    • Implicit velocity representation via Time-Depth functions
    • Velocity as a function of time (V0+KT) and basic database QCs
    • Velocity as a function of depth (V0+KZ) from well-tie Time Depth Relationships (TDRs)
    • Petrel Velocity Models with time and depth functions

    Exercises: Various problems defining velocity fields in various domains


    Module 5: Gridded Representation of Velocities

    Learning Objectives and Importance:    

    • Define velocities fields using grids


    • Spatial velocity variations (lateral gradients)
    • Creating an edited PSTM velocity model in Petrel

    Exercises: Import SEG Y velocities to Petrel and forming a gridded model

    Day 3: Practical Depth Conversion with Petrel

    Module 6: Vertical Time-to-Depth Conversion (Basic)

    Learning Objectives and Importance:    

    Implement well-top calibrated depth conversionusing T/Z functions and/or Petrel Velocity Models


    • Simple, intuitive depth conversion (no velocity model)
      • V0+KT Lookup plus Well Adjustment
    • QC methods that define Time Depth Relationships (TDRs)
    • Basic Petrel Velocity Models
      • V0+KT
      • Seismic velocities
      • V0+KZ from well TDRs
    • Time to Depth QCs


    Module 7: Well and Seismic Data Integration

    Learning Objectives and Importance:    

    • Understand methods for linking well and seismic information in Petrel


    • Sonic and density log editing
    • Check shot loading and QC
    • Establishing seismic data polarity and phase (the wavelet)
    • Creating synthetic seismogram well-tie correlations
      • Image volumes (“wiggle trace”)
      • Inversion volumes (creating P Impedance logs and synthetics)
    • Issues with synthetic ties

    Day 4: Practical Depth Conversion with Petrel

    Module 8: Vertical Time-to-Depth Conversion (Advanced)

    Learning Objectives and Importance:

    • Explore advanced well-top calibrated depth conversion with layer-based Petrel Velocity Models


    • Geologic and data-driven modeling considerations
    • Multi-layer Petrel Velocity Models
    • Structure and Isopach QCs
    • “Simple” thrust models (forming complex models in Petrel)


    Module 9: Well/Seismic Database Validation

    Learning Objectives and Importance:    

    • Appreciate the need to review and correct the database prior to  incorporating well control


    • Confirm database settings
    • Using basic depth-conversion QCs to encounter data discrepancies

    Day 5: Practical Depth Conversion with Petrel

    Module 10: Petrel Models and UncertaintyAnalysis

    Learning Objectives and Importance:    

    • Implement domain conversion and uncertainty analysis with Petrel Velocity and 3D Models


    • Evaluating depth uncertainty
      • Mean and standard deviation workflow (new)


    Module 11: Calibration of Depth Migration with Well Tops

    Learning Objectives and Importance:    

    Learn approaches for stable integration ofdepth-domain seismic (PSDM) with well control


    • Working in the time domain
      • Conversion of PSDM depth deliverables to time
      • Creating the calibrated time/velocity model (the anisotropic Vz model)
      • Database QC: surface versus well-top cross plots
      • Conversion of time data (seismic/surfaces/faults) to well-top calibrated depth
      • Optional:
        • Basic Z-Z Model
        • Map migration for dynamic calibration and uncertainty

    Geoscientists involved in seismic interpretation and subsequent time-to-depth conversion or well-top calibration of depth-migration and inversion data.

    Attendees will gain an understanding of depth conversion methodologies, QCs for validating the methods employed, and tools for quantitative-uncertainty estimation. They will also learn to:

    ·        Review types of velocity data, and methods of representation and application in Petrel

    ·        Investigate the compatibility between well information and seismic data as a database QC

    ·        Evaluate the polarity and phase (wavelet) of seismic data

    ·        Create “Wiggle” and P-impedance synthetic ties to calibrate seismic volumes

    ·        Perform depth conversion of time-migration data with depth-uncertainty analysis

    ·        Implement depth calibration of depth-migration data with depth-uncertainty analysis

    Petrel Fundamentals and Petrel Geophysics courses.

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