.. _sphx_glr_glr_examples_applications:

.. _applications_examples:


Applications: Step-by-step guide 
----------------------------------

These examples show a step-by-step guide for computing the DC-parameters, the mixture learning strategy to predict the permeability coefficient :math:`k`
and restoring tensors via the modules :mod:`watex.methods` and :mod:`watex.utils.hydroutils`. The feature analyses and visualization are performed using the :mod:`watex.view` module. 
The datasets explanation can be found in :mod:`watex.datasets`.



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    <div class="sphx-glr-thumbcontainer" tooltip="Auto detect the suitable drilling point for drilling operations using the  naive auto-detection and the auto-detection with the constraints application.">

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  .. image:: /glr_examples/applications/images/thumb/sphx_glr_plot_auto_detect_drilling_location_thumb.png
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  :ref:`sphx_glr_glr_examples_applications_plot_auto_detect_drilling_location.py`

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      <div class="sphx-glr-thumbnail-title">Auto-detect the drilling location</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="Real-world examples for data exploratory, visualization, ... ">

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  .. image:: /glr_examples/applications/images/thumb/sphx_glr_plot_data_exploratory_quick_view_thumb.png
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  :ref:`sphx_glr_glr_examples_applications_plot_data_exploratory_quick_view.py`

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      <div class="sphx-glr-thumbnail-title">Data exploratory: Quick view</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="Real-world examples for showing the computation of EM tensor,  DC parameters and how to implement the mixture learning strategy (MXS) from  the naive aquifer group (NGA) for the permeability coefficient k prediction. ">

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  .. image:: /glr_examples/applications/images/thumb/sphx_glr_plot_dc_em_parameters_computing_thumb.png
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  :ref:`sphx_glr_glr_examples_applications_plot_dc_em_parameters_computing.py`

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      <div class="sphx-glr-thumbnail-title">EM, DC, and Hydro parameters computing</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="Short explanation about the process of AMT data collected in a specific area with a Stratagem  hardware.">

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  .. image:: /glr_examples/applications/images/thumb/sphx_glr_stratagem_edi_process_script_thumb.png
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  :ref:`sphx_glr_glr_examples_applications_stratagem_edi_process_script.py`

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      <div class="sphx-glr-thumbnail-title">Fast AMT data processing from Stratagem hardware</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="K-Means Featurization">

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  .. image:: /glr_examples/applications/images/thumb/sphx_glr_plot_kmf_thumb.png
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  :ref:`sphx_glr_glr_examples_applications_plot_kmf.py`

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      <div class="sphx-glr-thumbnail-title">K-Means Featurization</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="Recovers NSAMT tensors from sample of EDI files. ">

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  .. image:: /glr_examples/applications/images/thumb/sphx_glr_plot_nsamt_tensor_recovery_thumb.png
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  :ref:`sphx_glr_glr_examples_applications_plot_nsamt_tensor_recovery.py`

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      <div class="sphx-glr-thumbnail-title">NSAMT tensors recovery</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="Plot impedances/resistivity and phase tensors  from AMT data after applying essential corrections.   ">

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  .. image:: /glr_examples/applications/images/thumb/sphx_glr_plot_res_z_phases_tensors_thumb.png
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  :ref:`sphx_glr_glr_examples_applications_plot_res_z_phases_tensors.py`

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      <div class="sphx-glr-thumbnail-title">Plot Res, Z and phase tensors</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="shows some steps for predicting flow rate(FR) from  DC-ERP and VES data ">

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  .. image:: /glr_examples/applications/images/thumb/sphx_glr_plot_flow_rate_prediction_thumb.png
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  :ref:`sphx_glr_glr_examples_applications_plot_flow_rate_prediction.py`

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      <div class="sphx-glr-thumbnail-title">Predict FR from DC-Resistivity data</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="Gives a step-by-step guide for restoring Z tensors  using  real noised data containing missing  and weak frequency signals. ">

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  .. image:: /glr_examples/applications/images/thumb/sphx_glr_plot_tensor_restoring_thumb.png
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  :ref:`sphx_glr_glr_examples_applications_plot_tensor_restoring.py`

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      <div class="sphx-glr-thumbnail-title">Restoring tensor with noised AMT data</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="Real-world examples to generate the mixture learning strategy (MXS)  target y* for predicting the permeability coefficient  k parameter from two boreholes.  ">

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  .. image:: /glr_examples/applications/images/thumb/sphx_glr_plot_ymxs_label_for_k_prediction_thumb.png
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  :ref:`sphx_glr_glr_examples_applications_plot_ymxs_label_for_k_prediction.py`

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      <div class="sphx-glr-thumbnail-title">k-prediction from MXS: step-by-step guide</div>
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.. toctree::
   :hidden:

   /glr_examples/applications/plot_auto_detect_drilling_location
   /glr_examples/applications/plot_data_exploratory_quick_view
   /glr_examples/applications/plot_dc_em_parameters_computing
   /glr_examples/applications/stratagem_edi_process_script
   /glr_examples/applications/plot_kmf
   /glr_examples/applications/plot_nsamt_tensor_recovery
   /glr_examples/applications/plot_res_z_phases_tensors
   /glr_examples/applications/plot_flow_rate_prediction
   /glr_examples/applications/plot_tensor_restoring
   /glr_examples/applications/plot_ymxs_label_for_k_prediction