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Magnetotelluric data processing and modelling. Read EDI files, analyze MT responses, perform inversions, and visualize resistivity models. Use when Claude needs to: (1) Read/write EDI files, (2) Process MT impedance tensors, (3) Analyze phase tensors and dimensionality, (4) Plot apparent resistivity and phase curves, (5) Create pseudosections, (6) Perform strike analysis, (7) Run 1D inversions, (8) Prepare data for 2D/3D modelling.
npx skill4agent add steadfastasart/geoscience-skills mtpyfrom mtpy import MT, MTCollection
# Read single station
mt = MT('station001.edi')
# Access data
Z = mt.Z # Complex impedance tensor
freq = mt.frequency # Frequency array
rho_xy = mt.apparent_resistivity[:, 0, 1] # Apparent resistivity
# Station info
print(mt.station, mt.latitude, mt.longitude)
# Write EDI
mt.write_edi('output.edi')| Class | Purpose |
|---|---|
| Single station MT data container |
| Multiple stations management |
| Plot impedance, resistivity, phase |
| Phase tensor ellipse visualization |
| Profile pseudosection display |
| Strike direction analysis |
from mtpy import MT
mt = MT('station001.edi')
print(f"Station: {mt.station}")
print(f"Location: ({mt.latitude}, {mt.longitude})")
print(f"Frequencies: {len(mt.frequency)} points")
print(f"Period range: {1/mt.frequency.max():.2f} - {1/mt.frequency.min():.0f} s")from mtpy import MTCollection
mc = MTCollection()
mc.from_edis('survey_data/*.edi')
print(f"Loaded {len(mc)} stations")
for station in mc:
print(f" {station.station}: ({station.latitude:.4f}, {station.longitude:.4f})")from mtpy import MT
from mtpy.imaging import PlotMTResponse
mt = MT('station001.edi')
plot = PlotMTResponse(mt)
plot.plot() # Apparent resistivity and phasefrom mtpy import MT
from mtpy.imaging import PlotPhaseTensor
mt = MT('station001.edi')
# Get phase tensor parameters
phi_min = mt.phase_tensor.phimin
phi_max = mt.phase_tensor.phimax
skew = mt.phase_tensor.skew # 3D indicator
# Plot
pt = PlotPhaseTensor(mt)
pt.plot()from mtpy import MT
mt = MT('station001.edi')
mt_rotated = mt.rotate(30) # 30 degrees clockwise
mt.rotate_to_strike() # Auto-rotate to geoelectric strikefrom mtpy import MTCollection
from mtpy.imaging import PlotPseudoSection
mc = MTCollection()
mc.from_edis('profile/*.edi')
ps = PlotPseudoSection(mc)
ps.plot(plot_type='apparent_resistivity', mode='te') # or 'tm', 'det'from mtpy import MT
import pandas as pd
mt = MT('station001.edi')
# Export to CSV
df = pd.DataFrame({
'frequency': mt.frequency,
'rho_xy': mt.apparent_resistivity[:, 0, 1],
'rho_yx': mt.apparent_resistivity[:, 1, 0],
'phase_xy': mt.phase[:, 0, 1],
'phase_yx': mt.phase[:, 1, 0]
})
df.to_csv('mt_data.csv', index=False)
# Export for ModEM
mt.write_modem('station001.dat')| Component | Description | Mode |
|---|---|---|
| Zxx | Ex/Bx response | Diagonal (usually small) |
| Zxy | Ex/By response | TE mode |
| Zyx | Ey/Bx response | TM mode |
| Zyy | Ey/By response | Diagonal (usually small) |
| Parameter | Description | Interpretation |
|---|---|---|
| phi_min | Minimum phase | Relates to resistivity gradient |
| phi_max | Maximum phase | Relates to resistivity gradient |
| skew | Skew angle | >5 suggests 3D structure |
| ellipticity | (phi_max-phi_min)/(phi_max+phi_min) | 2D/3D indicator |
| Tool | Best For | Limitations |
|---|---|---|
| mtpy | Full MT workflow in Python, EDI I/O, visualization, modelling prep | Complex API, evolving between v1 and v2 |
| EMTF | USGS time-series to impedance processing | Fortran-based, processing only |
| WinGLink | Commercial integrated MT processing and inversion | Expensive commercial license |
MT()MTCollection()PlotMTResponse| Issue | Solution |
|---|---|
| No tipper data | Check |
| Bad data points | Use |
| Static shift | Apply correction before interpretation |
| Wrong rotation | Verify coordinate system (N vs E convention) |