GIFtools Site map

• 1. Quick-start guide
  • 1.1. Why GIFtools ?
  • 1.2. GIFtools Framework
  • 1.3. Graphical User Interface (GUI)
    • 1.3.1. Menus
    • 1.3.2. Tree
    • 1.3.3. Information panel
    • 1.3.4. Notes section
    • 1.3.5. Need Help?
• 2. Installation
  • 2.1. Installation notes
  • 2.2. GIFtools system requirements
    • 2.2.1. Operating System
    • 2.2.2. CPU type
    • 2.2.3. Disk size
    • 2.2.4. Network
    • 2.2.5. Memory
    • 2.2.6. Display resolution
    • 2.2.7. Point device
    • 2.2.8. .NET framework
    • 2.2.9. Visual C++ 2013 x64
    • 2.2.10. Browser
  • 2.3. Installing Fortran Modeling/Inversion Codes
  • 2.4. Python Installation (Optional)
    • 2.4.1. Part 1
    • 2.4.2. Part 2
• 3. Basic Functionality
  • 3.1. Project
    • 3.1.1. Properties
    • 3.1.2. Save
    • 3.1.3. Load
    • 3.1.4. Load a recent project
    • 3.1.5. Add an existing project
    • 3.1.6. Viewing options
    • 3.1.7. Find the version number
  • 3.2. Edit
    • 3.2.1. Rename
    • 3.2.2. Copy
    • 3.2.3. Delete
  • 3.3. Import
    • 3.3.1. Import Data
    • 3.3.2. Import Mesh
    • 3.3.3. Import Model
    • 3.3.4. Import Weights
    • 3.3.5. Import Images (Raster)
    • 3.3.6. Import Shape Files (RBIS vector)
  • 3.4. Create
    • 3.4.1. Workflow
    • 3.4.2. Forward Modeling
    • 3.4.3. Inversion
    • 3.4.4. Processing
    • 3.4.5. Fortran utility program
    • 3.4.6. Creating a Tensor Mesh
    • 3.4.7. Create a simple ground or airborne survey
    • 3.4.8. Create a simple DCIP survey
    • 3.4.9. Model Builder
• 4. Object Functionality
  • 4.1. Data
    • 4.1.1. General Functions for Data
    • 4.1.2. Magnetic Data
    • 4.1.3. DC/IP Data
    • 4.1.4. EM Data
    • 4.1.5. MT Data
    • 4.1.6. ZTEM Data
  • 4.2. Mesh
    • 4.2.1. Modifying a Tensor mesh
    • 4.2.2. Create Model
    • 4.2.3. Create Weights
    • 4.2.4. Shift Mesh Coordinates
    • 4.2.5. Refine an ocTree mesh from topography
    • 4.2.6. View in 3D
    • 4.2.7. Export
    • 4.2.8. Extract Sections
    • 4.2.9. Interpolate 3D Models
  • 4.3. Model
    • 4.3.1. General Functionality
    • 4.3.2. Active Cells Models
    • 4.3.3. Create a Model Builder Module
    • 4.3.4. Geological Models
    • 4.3.5. Functionality for GIF Models
  • 4.4. Images
    • 4.4.1. General Functionality for Images
  • 4.5. Weights
    • 4.5.1. Set Model
    • 4.5.2. Export Weights
  • 4.6. Workflow
    • 4.6.1. Inversion
    • 4.6.2. Batch Inversion
    • 4.6.3. Model Space
    • 4.6.4. Depth of investigation (DOI) calculation
  • 4.7. Forward Modeling
    • 4.7.1. Set the working directory
    • 4.7.2. Edit Options
    • 4.7.3. Copy Options
    • 4.7.4. Write input files to directory
    • 4.7.5. DCIP: Surface or General data format
    • 4.7.6. Run
    • 4.7.7. Load predicted data
  • 4.8. Inversion
    • 4.8.1. Set the working directory
    • 4.8.2. Edit Options
    • 4.8.3. Sensitivity weights for DCIP3D
    • 4.8.4. Write files
    • 4.8.5. Run
    • 4.8.6. Load results
    • 4.8.7. View results
    • 4.8.8. Copy the item
  • 4.9. Processing
    • 4.9.1. Equivalent Source
  • 4.10. Fortran Utility Program
    • 4.10.1. Set the working directory
    • 4.10.2. Set data
    • 4.10.3. Edit options
    • 4.10.4. Run
    • 4.10.5. Load results
  • 4.11. Survey
  • 4.12. Model Builder Module
    • 4.12.1. Model Builder Menu
    • 4.12.2. Build Model
    • 4.12.3. Build Constraints
• 5. UBC File formats
  • 5.1. Data
    • 5.1.1. XYZ file format
    • 5.1.2. CSV file format
    • 5.1.3. Magnetic observations: GIF file
    • 5.1.4. Gravity observations: GIF file
    • 5.1.5. Gravity gradiometry observations: GIF file
    • 5.1.6. DC/IP 2D Locations file
    • 5.1.7. DC/IP 2D Observations file
    • 5.1.8. DCIP3D locations files
    • 5.1.9. DC/IP 3D Observations file
    • 5.1.10. Borehole collar file format
    • 5.1.11. Borehole survey file format
    • 5.1.12. Borehole property file format
    • 5.1.13. Miscellaneous property file format
    • 5.1.14. FEM data: GIF file
    • 5.1.15. TEM data: GIF file
    • 5.1.16. EM transmitter formats
    • 5.1.17. MT / ZTEM data: E3DMT version 1
    • 5.1.18. MT / ZTEM data: E3DMT version 2
    • 5.1.19. MT / ZTEM data: MTZ3D GIF file
  • 5.2. Topography
    • 5.2.1. 2D GIF topography file
    • 5.2.2. 3D GIF topography file
    • 5.2.3. GIF discrete topography file
  • 5.3. Meshes
    • 5.3.1. 1D Mesh file
    • 5.3.2. 2D Mesh file
    • 5.3.3. 3D Mesh file
    • 5.3.4. OcTree mesh file
  • 5.4. Models
    • 5.4.1. 1D Model file
    • 5.4.2. 2D Model file
    • 5.4.3. 3D Model file
    • 5.4.4. Vector model file
    • 5.4.5. Model Norm file
    • 5.4.6. Weights file
    • 5.4.7. Geology definition file format
• 6. Fundamentals of Inversions
  • 6.1. Basic concept
  • 6.2. The objective function
  • 6.3. Data uncertainties
    • 6.3.1. Why use Uncertainties
    • 6.3.2. Importance of Choosing Appropriate Uncertainties
    • 6.3.3. Choosing a Floor Value
    • 6.3.4. Choosing a Percent
  • 6.4. The Beta parameter (trade-off)
    • 6.4.1. Errors on Data
    • 6.4.2. Chi-factor
    • 6.4.3. GCV
    • 6.4.4. L-Curve
  • 6.5. The alphas parameters
  • 6.6. The weighting matrices
    • 6.6.1. The smallness matrix Ws
    • 6.6.2. The smoothness matrices Wx, Wy and Wz
    • 6.6.3. Depth or Distance Weighting
    • 6.6.4. Sensitivity weighting for DCIP inversion
  • 6.7. Sparse and blocky norms
  • 6.8. Reference model in the smoothness Term
  • 6.9. Data weighting and joint inversion
    • 6.9.1. Balancing Uncertainties for Joint Inversion
    • 6.9.2. Inversion With Data Weighting
• 7. Coordinates, Sign Conventions and Units: A Quick Guide
  • 7.1. Coordinates for Data Locations
    • 7.1.1. DCIP details
    • 7.1.2. EM1DFM and EM1DTM details
  • 7.2. GIF Data Sign Conventions and Time-Dependency
    • 7.2.1. Time-dependency (Fourier convention)
    • 7.2.2. Magnetics
    • 7.2.3. DCIP data
    • 7.2.4. EM1DFM data
    • 7.2.5. EM1DTM data
    • 7.2.6. H3DTD and TDoctree data
    • 7.2.7. MT data
    • 7.2.8. ZTEM data
  • 7.3. Units
    • 7.3.1. DC data units
    • 7.3.2. IP data units
    • 7.3.3. EM1DTM data units
    • 7.3.4. Impedance tensor (MT) data units
    • 7.3.5. Transfer functions (ZTEM) data units
• 8. Recipes
  • 8.1. Data Processing
    • 8.1.1. NSEM: From raw EDI files to GIF formatted data
    • 8.1.2. Create Time/Frequency dependent uncertainties from Statistics
  • 8.2. Forward Modeling Recipes
    • 8.2.1. Forward model data in GIFtools
    • 8.2.2. Forward model amplitude data
    • 8.2.3. Forward model 2D DCIP data
  • 8.3. Inversion Recipes
    • 8.3.1. Invert data in GIFtools
    • 8.3.2. Do an equivalent source inversion
    • 8.3.3. Invert 2D DCIP data
    • 8.3.4. Exploring the model space
  • 8.4. Other Recipes
    • 8.4.1. Create a geologic model from an image
    • 8.4.2. Use a surface (or surfaces) in an inversion
    • 8.4.3. Import TEM data from a XYZ or csv file
    • 8.4.4. Add transmitter information to a TEM data object
    • 8.4.5. Create a geology model from an isosurface
    • 8.4.6. Create a physical property model from a geology model
    • 8.4.7. Create weights from a geology model
    • 8.4.8. Create a waveform for a TEM data set
    • 8.4.9. Create an octree mesh using a Fortran utility
    • 8.4.10. Assign elevation from height and topography surface
• 9. A to Z Examples
  • 9.1. Gravity: Forward modeling and constrained inversion
    • 9.1.1. Processing Gravity Data
    • 9.1.2. Forward Modeling Gravity Data
    • 9.1.3. Inverting Gravity Data
  • 9.2. Magnetics: Dealing with remanence
    • 9.2.1. Magnetic susceptibility inversion from TMI data
    • 9.2.2. Magnetic susceptibility inversion from amplitude data
    • 9.2.3. Magnetic Vector Inversion (MVI)
  • 9.3. EM1DFM: 1D and laterally constrained inversion
    • 9.3.1. Importing raw frequency-domain data
    • 9.3.2. Static and Adaptive 1D Inversion
    • 9.3.3. Laterally Constrained 3D Inversion
  • 9.4. TEM: From 1D to 3D inversion using Python
    • 9.4.1. Importing raw time-domain data
    • 9.4.2. Laterally Constrained 1D Inversion
    • 9.4.3. Mesh validation for TDoctree inversion
  • 9.5. DCIP: Simulate and Invert in 2D and 3D
    • 9.5.1. Survey Design and Forward Simulation
    • 9.5.2. 2D Inversion
    • 9.5.3. 3D Inversion
  • 9.6. MT/ZTEM: Dealing with natural source EM
    • 9.6.1. Loading, interpreting and preparing data
    • 9.6.2. MT inversion
    • 9.6.3. ZTEM inversion
    • 9.6.4. Joint MT/ZTEM inversion
• 10. Comprehensive Workflows
  • 10.1. Magnetics: From surface TMI data to sparse-norm inversion
    • 10.1.1. - Understanding TMI anomalies
    • 10.1.2. - Loading data and cursory interpretation
    • 10.1.3. - Equivalent source inversion
    • 10.1.4. - Upward continuation and reduction to pole
    • 10.1.5. - Polynomial detrending
    • 10.1.6. - Data interpretation (including remanence)
    • 10.1.7. - Uncertainties for TMI anomaly data
    • 10.1.8. - Mesh design
    • 10.1.9. - Least-squares inversion
    • 10.1.10. - Examining inversion outputs
    • 10.1.11. - Local inversion using regional removal
    • 10.1.12. - Sparse norm inversion
  • 10.2. DCIP: From UBC-GIF/XYZ to DC and IP inversion
    • 10.2.1. - Understanding DC and IP anomalies
    • 10.2.2. - Loading 3D DC/IP data and cursory interpretation
    • 10.2.3. - Assigning uncertainties
    • 10.2.4. - Create, run and load 2D DC and IP inversion
    • 10.2.5. - Analyze 2D DC and IP inversion results
    • 10.2.6. - Batch 2D DC and IP inversion
    • 10.2.7. - OcTree mesh design
    • 10.2.8. - Project electrodes to discrete surface
    • 10.2.9. - DC OcTree inversion: creating weights and reference models
    • 10.2.10. - DC OcTree inversion: setting up, running and examining results
    • 10.2.11. - DC OcTree inversion using sensitivity weights and reference models
    • 10.2.12. - IP Octree inversion: creating weights and reference model
    • 10.2.13. - IP OcTree inversion: setting up, running and examining results
    • 10.2.14. - IP OcTree inversion using sensitivity weights and reference models
  • 10.3. MT: From EDI data to inversion
    • 10.3.1. - Understanding MT anomalies
    • 10.3.2. - Loading geophysical data and ascertaining if it is in GIF convention
    • 10.3.3. - Preparing data for inversion within the GIFtools framework
    • 10.3.4. - Standard assignment of uncertainties to MT data
    • 10.3.5. - Mesh design
    • 10.3.6. - Setting appropriate parameters and running the inversion
    • 10.3.7. - Examining convergence, data misfit and the recovered model
  • 10.4. ZTEM: From XYZ data to inversion
    • 10.4.1. - Understanding ZTEM anomalies
    • 10.4.2. - Loading geophysical data and transforming from along-line cross-line convention to GIF convention
    • 10.4.3. - Standard assignment of uncertainties to ZTEM data
    • 10.4.4. - Preparing data for inversion within the GIFtools framework
    • 10.4.5. - Mesh design
    • 10.4.6. - Setting appropriate parameters and running the inversion
    • 10.4.7. - Examining convergence, data misfit and the recovered model
  • 10.5. MobileMT: From XYZ data to inversion
    • 10.5.1. - Understanding MobileMT data
    • 10.5.2. - Loading and visualizing Mobile MT data
    • 10.5.3. - Assigning uncertainties
    • 10.5.4. - Preparing data for inversion within the GIFtools framework
    • 10.5.5. - Mesh design
    • 10.5.6. - Setting appropriate parameters and running the inversion
    • 10.5.7. - Examining convergence, data misfit and the recovered model
  • 10.6. Joint MT-ZTEM inversion
    • 10.6.1. - Understanding MT and ZTEM anomalies
    • 10.6.2. - Loading geophysical data and transforming to GIF convention
    • 10.6.3. - MT data preparation and uncertainties
    • 10.6.4. - ZTEM data preparation and uncertainties
    • 10.6.5. - MT inversion and results
    • 10.6.6. - ZTEM inversion and results
    • 10.6.7. - Joint inversion preparation
    • 10.6.8. - Joint inversion and results
  • 10.7. Surface UTEM: From AMIRA TEM data file to inversion (ongoing research)
    • 10.7.1. - Understanding UTEM anomalies
  • 10.8. Borehole UTEM: From AMIRA TEM data file to inversion (ongoing research)
    • 10.8.1. - Understanding borehole UTEM anomalies
• 11. Video Tutorials
  • 11.1. General functionality covering all data types
  • 11.2. Data types
  • 11.3. Meshes
  • 11.4. Models