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    "result": {"data":{"site":{"siteMetadata":{"salvusDocVersions":{"current":"2026.5.0"}}},"jupyterNotebook":{"slug":"/2025.1.3/examples/applications/near_surface/03_3D-to-2D_conversion","notebook_widgets_root_path":"/jupyter_notebook_widgets","notebook_json":"{\"cells\":[{\"cell_type\":\"markdown\",\"id\":\"99a48d62\",\"metadata\":{},\"source\":[\"# 3D-to-2D Conversion\\n\",\"\\n\",\"The observed data has, of course, been recorded within a 3-D medium.  In the interest of computational efficiency, it is desirable to run simulations in 2-D.  However, there are inherent differences between data collected within a fully 3-D versus 2-D domain.  In this tutorial, we will go through the process of performing this 3D-to-2D conversion in addition to providing a conceptual overview of what this process looks to accomplish.\\n\",\"\\n\",\"> *Please note that the underlying theory for this 3D-to-2D conversion can be found within the following two publications and the references therein:*\\n\",\"> > *Forbriger, T., L. Groos, M. Schäfer* (2014).\\n\",\"  **Line-source simulation for shallow-seismic data. Part 1: theoretical background.**\\n\",\"  Geophysical Journal International, 198(3), 1387-1404.\\n\",\"  [https://dx.doi.org/10.1093/gji/ggu199](https://dx.doi.org/10.1093/gji/ggu199)\\n\",\">\\n\",\"> > *Schäfer, T., M., L. Groos, T. Forbriger, T. Bohlen* (2014).\\n\",\"  **Line-source simulation for shallow-seismic data. Part 2: full-waveform inversion — a synthetic 2-D case study.**\\n\",\"  Geophysical Journal International, 198(3), 1405-1418.\\n\",\"  [https://dx.doi.org/10.1093/gji/ggu171](https://dx.doi.org/10.1093/gji/ggu171)\\n\",\"\\n\",\"## Conceptual Background\\n\",\"\\n\",\"A 2-D simulation implicitly assumes that the effects in the out-of-plane direction are uniform.  This effectively means that an equivalent 3-D simulation would require us to extrude everything in the 2-D domain in the out-of-plane direction.\"]},{\"cell_type\":\"markdown\",\"id\":\"00816ae8\",\"metadata\":{},\"source\":[\"<video controls src=\\\"videos/line-vs-point_animation.mp4\\\" width=100%>\"]},{\"cell_type\":\"markdown\",\"id\":\"f70633d3\",\"metadata\":{},\"source\":[\"### Purely 2-D Simulation\\n\",\"\\n\",\"A point source in 2-D generates a circular wavefront which propagates away from the source position:\\n\",\"\\n\",\"![|75%](images/point_source_2d.png)\\n\",\"\\n\",\"### 3-D Extruded Equivalent\\n\",\"\\n\",\"Given our previous definition of going from a 2-D setup to a 3-D equivalent, this would mean that the wavefront should be extruded in the out-of-plane direction as well.  This would look something like the following:\\n\",\"\\n\",\"![|75%](images/line_source.png)\\n\",\"\\n\",\"### Fully 3-D Simulation\\n\",\"\\n\",\"If we consider a fully 3-D simulation, an idealized point source emits energy equally in all directions.  Thus, a spherical wavefront is, in fact, generated:\\n\",\"\\n\",\"![|75%](images/point_source_3d.png)\\n\",\"\\n\",\"Thus, we want to have some conversion to allow for our observed data, which was created using a spherical wavefront, to appear as though it were generated using such a cylindrical wavefront.  This process is often referred to as a ***point source to line source*** conversion given that such a cylindrical wavefront can be approximated using a line source, which is oriented in the out-of-plane direction.\\n\",\"\\n\",\"## Preamble\\n\",\"\\n\",\"Let's start by importing a few Python packages along with the SalvusProject:\"]},{\"cell_type\":\"code\",\"execution_count\":1,\"id\":\"cd3f4395\",\"metadata\":{},\"outputs\":[],\"source\":[\"PROJECT_DIR = \\\"project\\\"\"]},{\"cell_type\":\"code\",\"execution_count\":2,\"id\":\"c15762f4\",\"metadata\":{},\"outputs\":[{\"name\":\"stdout\",\"output_type\":\"stream\",\"text\":[]}],\"source\":[\"import matplotlib.pyplot as plt\\n\",\"import numpy as np\\n\",\"\\n\",\"import salvus.namespace as sn\\n\",\"from salvus.modules.near_surface.processing import convert_point_to_line_source\\n\"]},{\"cell_type\":\"code\",\"execution_count\":3,\"id\":\"5a22f6c7\",\"metadata\":{},\"outputs\":[{\"data\":{\"image/png\":\"iVBORw0KGgoAAAANSUhEUgAAA9IAAACWCAYAAAAysrA5AAAAAXNSR0IArs4c6QAAAARzQklUCAgI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\\nAAAAAASBIA0AAAAAQBD+P8Zf5UKp2TNqAAAAAElFTkSuQmCC\\n\"},\"metadata\":{\"needs_background\":\"light\"},\"output_type\":\"display_data\"}],\"source\":[\"p = sn.Project(path=PROJECT_DIR)\"]},{\"cell_type\":\"markdown\",\"id\":\"243d1fc6\",\"metadata\":{},\"source\":[\"## Adding a Processing Configuration\\n\",\"\\n\",\"To apply a processing function to data which is already within SalvusProject, we apply two separate steps:\\n\",\"\\n\",\"1. Define a callback function which accepts an `obspy.Stream` containing the information about the traces we want to apply the processing to along with the Salvus source/receiver objects.\\n\",\"2. A `ProcessingConfiguration` which specifies which data we want to apply the processing to in addition to the callback function itself.\\n\",\"\\n\",\"Here we will use the hybrid transform discussed in the two papers referenced in the introduction of this notebook.  This transformation involves applying two different transformations to the data depending on the receiver's offset relative to the source:\\n\",\"\\n\",\"- The _single-velocity_ method is used for near offsets\\n\",\"- The _direct-wave_ method is used for further offsets\\n\",\"\\n\",\"There are two additional parameters which need to be defined for this transform type, namely:\\n\",\"\\n\",\"- `velocity_m_s`: Reference velocity for the medium.  While this theoretically assumes that the medium consists of a homogeneous full-space, using an average of the velocities within the top portion of the medium generally seems to yield adequate results.\\n\",\"- `hybrid_transformation_transition_zone`: The distances within which each transform should be applied.  In this case, `hybrid_transformation_transition_zone` should be a list of distances where the the _single-velocity_ method is applied to the receivers below the first value in the transition zone while the _direct-wave_ method is applied to the receivers beyond the second value in the transition zone.\\n\",\"\\n\",\"First, let's get the `velocity_m_s` by averaging the `\\\"VS\\\"` from our initial model over the first ~5.0 m depth of the model.  We start by getting the mesh of the starting model.\"]},{\"cell_type\":\"code\",\"execution_count\":4,\"id\":\"a772849e\",\"metadata\":{},\"outputs\":[],\"source\":[\"m = p.simulations.get_mesh(\\\"volumetric_model\\\")\"]},{\"cell_type\":\"markdown\",\"id\":\"41d29939\",\"metadata\":{},\"source\":[\"Next, we can create a mask of all of the elements which are above a depth of 5.0 m and then take the average of the `\\\"VS\\\"` over this depth range.\"]},{\"cell_type\":\"code\",\"execution_count\":5,\"id\":\"01f0aac4\",\"metadata\":{},\"outputs\":[{\"name\":\"stdout\",\"output_type\":\"stream\",\"text\":[\"The average `VS` above 5.0 m is 166.89999389648438 m/s\\n\"]}],\"source\":[\"depth = -5.0\\n\",\"field = \\\"VS\\\"\\n\",\"\\n\",\"# Create a mask of the elements which are above a depth of 5.0 m\\n\",\"mask = m.get_element_centroid()[:, 1] > -5.0\\n\",\"\\n\",\"# Take the mean of the \\\"VS\\\" for the masked out elements\\n\",\"velocity_m_s = np.mean(m.elemental_fields[field][mask, :])\\n\",\"\\n\",\"print(\\n\",\"    f\\\"The average `{field}` above {np.abs(depth)} m is {np.round(velocity_m_s, 1)} m/s\\\"\\n\",\")\"]},{\"cell_type\":\"markdown\",\"id\":\"d7a4bf0c\",\"metadata\":{\"lines_to_next_cell\":2},\"source\":[\"The choice of the transition zone is somewhat subjective.  Here we will treat the \\\"near offsets\\\" as being less than 5.0 m offset relative to the source while \\\"far offsets\\\" will be treated as being at greater than 10.0 m offsets.\\n\",\"\\n\",\"Next, let's define the callback function.\"]},{\"cell_type\":\"code\",\"execution_count\":6,\"id\":\"739af2ef\",\"metadata\":{},\"outputs\":[],\"source\":[\"def processing_3d_to_2d(st, sources, receiver):\\n\",\"    st = convert_point_to_line_source(\\n\",\"        st=st,\\n\",\"        source_coordinates=np.array(sources[0].location),\\n\",\"        receiver_coordinates=np.array(receiver.location),\\n\",\"        transform_type=\\\"hybrid\\\",\\n\",\"        velocity_m_s=velocity_m_s,\\n\",\"        hybrid_transformation_transition_zone=[5.1, 10.1],\\n\",\"    )\\n\",\"\\n\",\"    return st\"]},{\"cell_type\":\"markdown\",\"id\":\"ffdcd9c1\",\"metadata\":{},\"source\":[\"This can then be passed into a new `ProcessingConfiguration` which we will use to apply the 3D-to-2D conversion onto the `EXTERNAL_DATA:survey_data`, which was added during the first tutorial of this series.\"]},{\"cell_type\":\"code\",\"execution_count\":7,\"id\":\"8de27a14\",\"metadata\":{},\"outputs\":[],\"source\":[\"p.add_to_project(\\n\",\"    sn.processing.ProcessingConfiguration(\\n\",\"        name=\\\"calibrated_3d_to_2d\\\",\\n\",\"        data_source_name=\\\"EXTERNAL_DATA:survey_data\\\",\\n\",\"        processing_function=processing_3d_to_2d,\\n\",\"    ),\\n\",\"    overwrite=True,\\n\",\")\"]},{\"cell_type\":\"markdown\",\"id\":\"c56dcf0d\",\"metadata\":{},\"source\":[\"## Plotting the Data\\n\",\"\\n\",\"Finally, let's compare the waveforms from before and after applying the 3D-to-2D conversion.\"]},{\"cell_type\":\"code\",\"execution_count\":8,\"id\":\"edaf8e7c\",\"metadata\":{},\"outputs\":[{\"data\":{\"text/plain\":[\"<Axes: title={'center': 'Event: 00 | field: velocity | component: Y'}, xlabel='Receiver Index', ylabel='Time [s]'>\"]},\"execution_count\":8,\"metadata\":{},\"output_type\":\"execute_result\"},{\"data\":{\"image/png\":\"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size 1150x633 with 1 Axes>\"]},\"metadata\":{},\"output_type\":\"display_data\"}],\"source\":[\"p.viz.shotgather(\\n\",\"    data=[\\\"EXTERNAL_DATA:survey_data\\\", \\\"PROCESSED_DATA:calibrated_3d_to_2d\\\"],\\n\",\"    event=p.events.list()[0],\\n\",\"    receiver_field=\\\"velocity\\\",\\n\",\"    component=\\\"Y\\\",\\n\",\")\"]},{\"cell_type\":\"markdown\",\"id\":\"b660fe8a\",\"metadata\":{},\"source\":[\"Note that this conversion has not only changed the amplitudes of the signal, but also the phase.  This can be nicely visualized when plotting individual traces:\"]},{\"cell_type\":\"code\",\"execution_count\":9,\"id\":\"7411507a\",\"metadata\":{},\"outputs\":[{\"data\":{\"image/png\":\"iVBORw0KGgoAAAANSUhEUgAAA9IAAAGwCAYAAABFMF2mAAAAAXNSR0IArs4c6QAAAARzQklUCAgI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\\nYII=\\n\"},\"metadata\":{\"needs_background\":\"light\"},\"output_type\":\"display_data\"}],\"source\":[\"p.viz.nb.waveforms(\\n\",\"    data=[\\\"EXTERNAL_DATA:survey_data\\\", \\\"PROCESSED_DATA:calibrated_3d_to_2d\\\"],\\n\",\"    receiver_field=\\\"velocity\\\",\\n\",\")\"]},{\"cell_type\":\"markdown\",\"id\":\"9b514112\",\"metadata\":{},\"source\":[\"This has applied a fairly significant correction to the 3-D data to make it more \\\"2-D-like\\\".  Note that since we've only provided a single component of the velocity data at the start of the project, only a single component is plotted within the waveforms.\"]}],\"metadata\":{\"jupytext\":{\"encoding\":\"# -*- coding: utf-8 -*-\",\"formats\":\"ipynb,py:light\"},\"kernelspec\":{\"display_name\":\"Python 3 (ipykernel)\",\"language\":\"python\",\"name\":\"python3\"},\"language_info\":{\"codemirror_mode\":{\"name\":\"ipython\",\"version\":3},\"file_extension\":\".py\",\"mimetype\":\"text/x-python\",\"name\":\"python\",\"nbconvert_exporter\":\"python\",\"pygments_lexer\":\"ipython3\",\"version\":\"3.11.15\"}},\"nbformat\":4,\"nbformat_minor\":5}","notebook_widget_size_map":"{}","path_to_zip_file":"/2025.1.3/examples/applications/near_surface/tutorial.zip","zip_file_size":"52.09 MB"}},"pageContext":{"slug":"/2025.1.3/examples/applications/near_surface/03_3D-to-2D_conversion","pagePath":"2025.1.3/examples/applications/near_surface/03_3D-to-2D_conversion"}},
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