3D Sonic Tool in a Fluid Filled Borehole - Fast Formation - Dipole Excitation

This is a modelling guide to help you get started simulating Borehole Acoustic Measurement (Logging) systems in OnScale. In this initial example you will be shown how to get the dispersion plots using the symbol language

What is symbol?: Check out these articles to get more familiar with OnScale's scripting language symbol.

Note: This is not a MATLAB tutorial so there will be no instructions in this simulation guide in how to properly use the script. Upon download it will plot the dispersion spectra if all output data from the OnScale simulation is accounted for in the working directory

Model Description

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The model we will show you how to build today will be a fluid-filled borehole surrounded by a fast or slow formation. A steel tool has been included in this model which will allow us to investigate the effects of interaction of steel pipe dispersion with that of the formation. A formation is characterised as fast or slow depending on whether its shear wave velocity is slower or faster than the compressional wave velocity in the borehole fluid. 

The sonic measurement tool or in this case the pressure wave excitation will be located at the centre of borehole, the receivers will also be located along the centre of the borehole the first receiver will be placed 1.219m from the transmitter this will be referred to as the Tx-Rx spacing and the receivers are spaced periodically ever 0.152m the Rx-Rx spacing.

Note: When you download this model it will origianally use slow material properies for the formation. The project material file also comes with fast and slow formation material properties. See the Full 3D Monopole & Dipole Open Hole Sonic Logging in Fast, Slow and Anisotropic Formation tutorial for more information

Download and Open the Model

Download: Sonic Model 3D

OnScale Input Files have the file extension *.flxinp. To open the downloaded file:

  1. Open OnScale 
  2. Select Analyst Mode
  3. Select the Menu button in the top left of the application
  4. Select Open
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Preview Model

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Preview model is used to view the geometry dimensions and material assignment of a model to ensure the script is correct. To preview a model, select the Preview Model icon in the Home tab of the application ribbon.

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Note: Preview model will display data from any grph commands that come before the prcs command. If you have more than one grph command, you can cycle through the graphics by continuously selecting Preview Model. To close the preview, select Stop Preview.

Run Model on Cloud 

To run the model on the cloud, select the Run on Cloud button in the Home tab of the application and follow these steps:

  1. Click Select and open the file you wish to run (*.flxinp)
  2. Select Estimate
  3. Select Run
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Note: Any supported files will be automatically included in the scheduler if they are in the same directory

Download Results

  1. From the Home tab, select the Storage icon
  2. Select the Refresh icon to refresh storage
  3. Select the Job Name from the dropdown menu
  4. Select the Download button
  5. Select Download All
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Choose a directory to download the results to. These results will be stored in the folder: 3D_Sonic-YYYYMMDD-HHMMSS\1 where YYYYMMDD-HHMMSS is the current date and time.

Analyse Results

We post-processed all of our results in MATLAB, we can provide a MATLAB script that we used. This is not a MATLAB tutorial however so there will be no instructions from here on out but here is a what the processed results look like if the script is used correctly. These results are from the fast formation simulations. Included in the files provided is a folder 'utils' this should be added to the MATLAB path. 

We have only shown the pressure waveforms here but take a look at our 2D Fluid Filled Borehole - Anisotropic Formation sim guide article where we have also included the dispersion plot.

Note: For post-processing the waveforms for the dispersions plots we used the “SFK waveform transform” toolbox. This was NOT created by OnScale and it can be obtained from the MATHWORKs webpage. It is not optimal and we would recommend using a better dispersion algorithim.

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What's Next?

Check out our blog post:

Check out our webinar by Director of Engineering Mihir Patel: