.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "content/tutorials/05-dcr/plot_fwd_1_dcr_sounding.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code. .. rst-class:: sphx-glr-example-title .. _sphx_glr_content_tutorials_05-dcr_plot_fwd_1_dcr_sounding.py: Simulate a 1D Sounding over a Layered Earth =========================================== Here we use the module *simpeg.electromangetics.static.resistivity* to predict sounding data over a 1D layered Earth. In this tutorial, we focus on the following: - General definition of sources and receivers - How to define the survey - How to predict voltage or apparent resistivity data - The units of the model and resulting data For this tutorial, we will simulate sounding data over a layered Earth using a Wenner array. The end product is a sounding curve which tells us how the electrical resistivity changes with depth. .. GENERATED FROM PYTHON SOURCE LINES 22-25 Import modules -------------- .. GENERATED FROM PYTHON SOURCE LINES 25-42 .. code-block:: Python import os import numpy as np import matplotlib as mpl import matplotlib.pyplot as plt from simpeg import maps from simpeg.electromagnetics.static import resistivity as dc from simpeg.utils import plot_1d_layer_model mpl.rcParams.update({"font.size": 16}) write_output = False # sphinx_gallery_thumbnail_number = 2 .. GENERATED FROM PYTHON SOURCE LINES 43-51 Create Survey ------------- Here we demonstrate a general way to define sources and receivers. For pole and dipole sources, we must define the A or AB electrode locations, respectively. For the pole and dipole receivers, we must define the M or MN electrode locations, respectively. .. GENERATED FROM PYTHON SOURCE LINES 51-86 .. code-block:: Python a_min = 20.0 a_max = 500.0 n_stations = 25 # Define the 'a' spacing for Wenner array measurements for each reading electrode_separations = np.linspace(a_min, a_max, n_stations) source_list = [] # create empty array for sources to live for ii in range(0, len(electrode_separations)): # Extract separation parameter for sources and receivers a = electrode_separations[ii] # AB electrode locations for source. Each is a (1, 3) numpy array A_location = np.r_[-1.5 * a, 0.0, 0.0] B_location = np.r_[1.5 * a, 0.0, 0.0] # MN electrode locations for receivers. Each is an (N, 3) numpy array M_location = np.r_[-0.5 * a, 0.0, 0.0] N_location = np.r_[0.5 * a, 0.0, 0.0] # Create receivers list. Define as pole or dipole. receiver_list = dc.receivers.Dipole( M_location, N_location, data_type="apparent_resistivity" ) receiver_list = [receiver_list] # Define the source properties and associated receivers source_list.append(dc.sources.Dipole(receiver_list, A_location, B_location)) # Define survey survey = dc.Survey(source_list) .. GENERATED FROM PYTHON SOURCE LINES 87-96 Defining a 1D Layered Earth Model --------------------------------- Here, we define the layer thicknesses and electrical resistivities for our 1D simulation. If we have N layers, we define N electrical resistivity values and N-1 layer thicknesses. The lowest layer is assumed to extend to infinity. In the case of a halfspace, the layer thicknesses would be an empty array. .. GENERATED FROM PYTHON SOURCE LINES 96-106 .. code-block:: Python # Define layer thicknesses. layer_thicknesses = np.r_[100.0, 100.0] # Define layer resistivities. model = np.r_[1e3, 4e3, 2e2] # Define mapping from model to 1D layers. model_map = maps.IdentityMap(nP=len(model)) .. GENERATED FROM PYTHON SOURCE LINES 107-112 Plot Resistivity Model ---------------------- Here we plot the 1D resistivity model. .. GENERATED FROM PYTHON SOURCE LINES 112-117 .. code-block:: Python # Plot the 1D model ax = plot_1d_layer_model(layer_thicknesses, model_map * model) ax.set_xlabel(r"Resistivity ($\Omega m$)") .. image-sg:: /content/tutorials/05-dcr/images/sphx_glr_plot_fwd_1_dcr_sounding_001.png :alt: plot fwd 1 dcr sounding :srcset: /content/tutorials/05-dcr/images/sphx_glr_plot_fwd_1_dcr_sounding_001.png :class: sphx-glr-single-img .. rst-class:: sphx-glr-script-out .. code-block:: none Text(0.5, 49.52222222222221, 'Resistivity ($\\Omega m$)') .. GENERATED FROM PYTHON SOURCE LINES 118-125 Define the Forward Simulation and Predict DC Resistivity Data ------------------------------------------------------------- Here we predict DC resistivity data. If the keyword argument *rhoMap* is defined, the simulation will expect a resistivity model. If the keyword argument *sigmaMap* is defined, the simulation will expect a conductivity model. .. GENERATED FROM PYTHON SOURCE LINES 125-144 .. code-block:: Python simulation = dc.simulation_1d.Simulation1DLayers( survey=survey, rhoMap=model_map, thicknesses=layer_thicknesses, ) # Predict data for a given model dpred = simulation.dpred(model) # Plot apparent resistivities on sounding curve fig = plt.figure(figsize=(11, 5)) ax1 = fig.add_axes([0.1, 0.1, 0.75, 0.85]) ax1.semilogy(1.5 * electrode_separations, dpred, "b") ax1.set_xlabel("AB/2 (m)") ax1.set_ylabel(r"Apparent Resistivity ($\Omega m$)") plt.show() .. image-sg:: /content/tutorials/05-dcr/images/sphx_glr_plot_fwd_1_dcr_sounding_002.png :alt: plot fwd 1 dcr sounding :srcset: /content/tutorials/05-dcr/images/sphx_glr_plot_fwd_1_dcr_sounding_002.png :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 145-150 Optional: Export Data --------------------- Export data and true model .. GENERATED FROM PYTHON SOURCE LINES 150-172 .. code-block:: Python if write_output: dir_path = os.path.dirname(__file__).split(os.path.sep) dir_path.extend(["outputs"]) dir_path = os.path.sep.join(dir_path) + os.path.sep if not os.path.exists(dir_path): os.mkdir(dir_path) np.random.seed(145) noise = 0.025 * dpred * np.random.randn(len(dpred)) data_array = np.c_[ survey.locations_a, survey.locations_b, survey.locations_m, survey.locations_n, dpred + noise, ] fname = dir_path + "app_res_1d_data.dobs" np.savetxt(fname, data_array, fmt="%.4e") .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 3.563 seconds) **Estimated memory usage:** 9 MB .. _sphx_glr_download_content_tutorials_05-dcr_plot_fwd_1_dcr_sounding.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_fwd_1_dcr_sounding.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_fwd_1_dcr_sounding.py ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_