Hunziker et al., 2015, Geophysics

Reproducing Figure 3 of the manual from EMmod. This example does, as such, not actually reproduce a figure of Hunziker et al., 2015, but of the manual that comes with the software accompanying the paper. With the software comes an example input file named simplemod.scr, and the corresponding result is shown in the manual of the code in Figure 3.

If you are interested in reproducing the figures of the actual paper, have a look at the notebooks in the repo article-geo2017.

Reference

• Hunziker, J., J. Thorbecke, and E. Slob, 2015, The electromagnetic response in a layered vertical transverse isotropic medium: A new look at an old problem: Geophysics, 80(1), F1–F18; DOI: 10.1190/geo2013-0411.1; Software: wiki.seg.org/wiki/Software:emmod.

import empymod
import numpy as np
import matplotlib.pyplot as plt

Compute the data

Compute the electric field with the parameters defined in simplemod.scr.

# x- and y-offsets
x = np.arange(4000)*7 - 1999.5*7
y = np.arange(1500)*10 - 749.5*10

# Create 2D arrays of them
rx = np.tile(x[:, None], y.size).T
ry = np.tile(y[:, None], x.size)

# Compute the electric field
efield = empymod.dipole(
    src=[0, 0, -150],
    rec=[rx.ravel(), ry.ravel(), -200],
    depth=[0, -200, -1000, -1200],
    res=[2e14, 1/3, 1, 50, 1],
    aniso=[1, 1, np.sqrt(10), 1, 1],
    freqtime=0.5,
    epermH=[1, 80, 17, 2.1, 17],
    epermV=[1, 80, 17, 2.1, 17],
    mpermH=[1, 1, 1, 1, 1],
    mpermV=[1, 1, 1, 1, 1],
    ab=11,
    htarg={'pts_per_dec': -1},
).reshape(rx.shape)

:: empymod END; runtime = 0:00:02.823100 :: 1 kernel call(s)

Plot

# Create a similar colormap as Hunziker et al., 2015.
cmap = plt.get_cmap("jet", 61)

fig, (ax1, ax2) = plt.subplots(
        2, 1, figsize=(8, 7), sharex=True, constrained_layout=True)

# 1. Amplitude
ax1.set_title('Amplitude (V/m)')
cf1 = ax1.pcolormesh(
        x/1e3, y/1e3, np.log10(efield.amp()),
        cmap=cmap, vmin=-16, vmax=-7, shading='nearest',
)
plt.colorbar(cf1, ticks=np.array([-16, -14, -12, -10, -8]))

# 2. Phase
ax2.set_title('Phase (°)')
ax2.set_xlabel('Offset (km)')
cf2 = ax2.pcolormesh(
        x/1e3, y/1e3, efield.pha(deg=False, unwrap=False, lag=True),
        cmap=cmap, vmin=-np.pi, vmax=np.pi, shading='nearest',
)
plt.colorbar(cf2, ticks=np.array([-2, 0, 2]))

for ax in [ax1, ax2]:
    ax.axis('equal')
    ax.set_ylim([y.max(), y.min()])
    ax.set_yticks([5, 0, -5])
    ax.set_ylabel('Offset (km)')

Original Figure

Figure 3 of the manual of EMmod.

empymod.Report()

Fri Oct 25 09:13:22 2024 UTC
OS	Linux (Ubuntu 22.04)	CPU(s)	2	Machine	x86_64
Architecture	64bit	RAM	7.5 GiB	Environment	Python
File system	ext4
Python 3.11.9 (main, Jun 18 2024, 09:40:25) [GCC 11.4.0]
numpy	2.0.2	scipy	1.14.1	numba	0.60.0
empymod	2.4.0	libdlf	0.3.0	IPython	8.28.0
matplotlib	3.9.2

Estimated memory usage: 1026 MB