Modeling
Geophysical Modeling and Inversion Software: AMT and CSAMT
EM2D
Two-dimensional AMT Modeling
[Abstract]
[Manual PDF:770k]
EM2D is a finite element program which computes apparent resistivity and
impedance phase responses of two-dimensional models illuminated by a plane-wave
source field. Models may include both subsurface structure and surface topography
on cross sections up to one hundred dipole lengths long and twenty five dipole
lengths deep. Model sections may have one to nine distinct geologic units, with
each unit assigned a resistivity and an optional Cole-Cole IP dispersion.
Modeling results may be calculated for TM mode, TE mode or both source
polarizations. Calculated model-response data are stored in a tabular ASCII file
format, which facilitates plotting by generic contouring programs.
EM2D is particularly convenient for models which include topography. EM2D can
read topographic profile information from a tabular file format and automatically
adjusts its finite element mesh to follow the profile. Topographic-correction factors
can be calculated using models with a uniform subsurface resistivity or topography
and geology can be modeled together to capture the interaction between terrain and
structure.
CSINV
One-dimensional CSAMT Inversion
[Abstract]
[Manual PDF:561k]
CSINV inverts CSAMT or AMT frequency-sounding data into a layered-earth model.
For controlled-source soundings, its calculations include the effects of finite
transmitter-receiver separation and three-dimensional source fields. CSINV computes
accurate impedances for near-field, transition, and far-field controlled-source data.
Apparent resistivity and impedance phase data from natural-source or controlled-source
scalar, vector or tensor survey configurations may be inverted.
CSINV has two inversion methods, an iterative inversion algorithm that minimizes the
root-mean-square difference between observed and calculated data and a controlled random
search inversion that minimizes the average absolute deviation between observed and calculated
data. Both the iterative inversion and the controlled random search test random variations to
the starting model and end up with a group of inverted models. Model parameter errors are
estimated from variation between inverted models that fit the data nearly as well as the best
result. Neither algorithm changes the number of layers during inversion. Starting models can be
automatically generated by CSINV or can be entered or edited manually. If geologic control limits
the thickness or resistivity of a particular unit, it is possible to freeze selected model
parameters so that they do not change during inversion.
SCSINV
Smooth-model CSAMT Inversion
[Abstract]
[Manual PDF:591k]
Smooth-model inversion is a robust method for converting CSAMT measurements
to models of resistivity versus depth. Observed apparent resistivity and impedance
phase data for each station are used to determine the parameters of a layered-earth
model. Layer thicknesses are fixed before the inversion starts by calculating source-field
penetration depths for each frequency. Layer resistivities are given a uniform starting
value based on controlled-source apparent resistivities. During the inversion, layer
resistivities are adjusted iteratively until the calculated CSAMT response is as close
as possible to observed data, consistent with smoothness constraints. Including smoothness
constraints in the inversion limits resistivity variation from layer to layer and produces
a model with smoothly varying resistivities.
SCSINV's forward-modeling algorithm can include the effects of finite transmitter-receiver
separation and a three-dimensional source field. Source types include a vertically incident
plane wave for natural source modeling and grounded electric bipole or horizontal loop sources
for CSAMT modeling. Accurate impedance magnitude and phase values are calculated for all
frequencies and transmitter-receiver separations. Impedances can be calculated for scalar,
vector or tensor survey configurations.
Lateral variation is determined by inverting successive stations along a survey line to
produce a grid of smooth-model resistivity. Resistivity values are placed at the midpoint of
each layer, forming a column below every station. The columns form an array representing a
cross-section of model resistivity. Results for a complete line can be presented in
pseudosection form by contouring model resistivities.
Inverting apparent resistivity and impedance phase to smoothly varying model resistivities
is an effective way to display the information inherent in CSAMT measurements. Smooth-model
inversion does not require any a priori estimates of model parameters. The data are
automatically transformed to resistivity as a function of depth. Models with smoothness
constraints are complementary to more detailed models incorporating specific geologic information.
SCS2D
Two-dimensional, Smooth-model CSAMT Inversion
[Abstract]
[Manual PDF:778k]
Smooth-model inversion is a robust method for converting far-field CSAMT or
natural-source AMT data to resistivity model cross-sections. SCS2D inverts observed
apparent resistivity and impedance phase data from a line of soundings to determine
resistivities in a model cross-section. Either TMmode data, TE-mode or both may be
inverted. To start the inversion, the model cross-section is usually given a background
resistivity generated from a moving average of apparent resistivity data or a 1d
smooth-model inversion section. Specific geologic structure may be added to the background
model if there is drill-log or geologic-mapping information available. During the inversion,
model-section-pixel resistivities are adjusted iteratively until calculated apparent
resistivity and impedance phases are as close as possible to observed data, consistent with
model constraints. Model constraints include background-model constraints, which restrict
the difference between the inversion model and a background model section, which represents
known geology, and smoothness constraints, which limit resistivity variation from pixel to pixel.
To calculate apparent resistivity and impedance phase for a given model section, SCS2D uses a
two-dimensional, finite-element algorithm to calculate far-field CSAMT or natural-source MT data.
To model areas with rough terrain, the finite-element mesh is draped over an along-line topographic
profile. Either TM or TE-mode data can be calculated for scalar, vector or tensor survey
configurations for frequencies ranging from less than 0.01 Hz to 10 kHz.
Inverting apparent resistivity and impedance phase to smoothly varying model sections is an
effective way to display the information inherent in CSAMT and AMT measurements. As smooth-model
inversion does not require any preliminary information about geologic structure, observed data are
automatically transformed to a resistivity model cross-section providing an image of the subsurface.
Model sections generated with smoothness constraints are complementary to more specialized inversions
incorporating specific geologic models.
Utilities
(provided with modeling programs)
SCSPLOT
Color-Filled-Contour Plots of 2D CSAMT/NSAMT Inversion Results
[Abstract]
[Manual PDF:972k]
SCSPLOT reads Zonge SCS2D inversion-program files (*.mtm and *.mtd) and
creates multi-panel plots of inversion-model sections and data pseudosections. Screen plots
may be exported to the Windows Print Manager, to Windows metafiles (wmf), to portable network
graphics (png) raster image files, to Surfer script and data files or to Oasis montaj control
and data files. Output files are given the same filename stem as the source inversion model
file, plus a suffix characterizing the plot number, 1 or 2. By default resistivity inversion
results are shown on plot 1 and IP results on plot 2, but resistivity and IP plot panels can
be combined within a single plot.
MODSECT
Color-Filled-Contour Plots of Inversion-Model Sections
[Abstract]
[Manual PDF:972k]
MODSECT reads Zonge inversion-program model files and creates color-filled
contour plots of inversion-model-section resistivity or IP (one panel per plot). Modsect can
read scsinv m1d (CSAMT), steminv m1d (TEM), ts2dip IPM (resistivity/IP) or scs2d .mtm and .mtd
(far-field CSAMT/NSAMT) files. Plots may be viewed on screen or exported for hardcopy.
Modsect can generate script and data files for use with Surfer v6 or v7. It can also export
GeoSoft Oasis montaj control and data files which MODSECTGX.GX will turn into finished plots.
Modsect also exports plots directly to the Windows Printer Manger, windows metafiles (wmf)
or portable network graphics (png) raster image files. Output files are given the same
filename stem as the source inversion model file, plus a one-letter suffix. Resistivity
section plot-file names end with a "r" while IP model-section plot-file names end with a "p".
MAPDAT
Interpolation to Plan-Map Data file
MAPDAT reads SCSINV and STEMINV *.M1D files, TS2DIP *.IPM or SCS2D *.MTM
files, interpolates to a constant depth or elevation and then writes interpolated values
to a tabular-format *.MAP file. *.MAP files have a simple spreadsheet format which can be
used by Geosoft or Surfer.
Making plan maps requires starting with a consistent grid coordinate
system in *.STN files for each line, so that inversion results from multiple lines can
be combined. Concatenate *.M1D, *.IPM or *.MTM files for a project area into a single
large file. MAPDAT v3.01 can handle up to 16384 stations, ie 128 stations on 128 lines.
Type "MAPDAT AUBELL.M1D" to extract an elevation or depth slice from AUBELL.M1D. MAPDAT
will place the interpolated values into AUBELL.MAP. When you are generating multiple depth
slices, you can rename the *.MAP file to something like ABZ500.DAT to avoid overwriting.
Note that S2DIP and SCS2D model sections extend past data coverage at
each end of the survey line, but the model-section extensions are poorly resolved and may
include spurious features. MAPDAT does not include automatic clipping on data coverage,
so it is worthwhile to trim *.IPM and *.MTM model-sections back to the extent of data
coverage before concatenating multiple lines into one large file.
You may select either constant elevation or constant depth slices in
MAPDAT. You may also control the number of decimal places used in stations numbers.
MAPDAT will read keywords from *.MDE files, parse keywords from the command line or will
prompt you to enter values.
Reference Papers
The Inversion of Magnetotelluric Data and the Elimination of Topographic Effects Through Modeling
[Abstract]
[Paper PDF:1215k]
Rough topography may cause severe distortion in imaging based on AMT data acquired
with the electric field oriented perpendicular to geologic strike, ie. TM-mode data. Topographic
peaks create high-angle conductive distortion while topographic valleys create high-angle resistive
features in TM-mode AMT data. Topographic distortions will be carried through to produce high-angle
conductive or resistive artifacts in inversion models unless the imaging procedure accounts for the
distortion. SCSINV 1-D resistivity-depth images are affected by 2-D topography, while SCS2D 2-D
inversions with models including a topographic profile do not.
TE-mode magnetotelluric data, with the electric field oriented parallel to geologic
strike, is distorted less by 2-D topography than is TM-mode data. However collecting TE-mode is
generally impractical when collecting closely spaced data along survey lines oriented perpendicular
to geologic strike. Continuous AMT production is optimized when electric-field dipoles are positioned
along survey lines to collect TM-mode data. In contrast, aligning electric field dipoles perpendicular
to survey lines to collect TE-mode data is time consuming (and expensive). As a result, most closely
sampled AMT data are collected in the scalar TM-mode. Consequently, this paper focuses mostly on the
effects of topography upon the interpretation of TM-mode AMT data, although some TE-mode results are
included.
Using Analytic Signal Analysis On Aeromagnetic Data To Constrain AMT Inversions, Sonora San Pedro Basin, Mexico
[Abstract]
[Paper PDF:975k]
Airborne geophysical studies on the American side of the San Pedro Valley of
Arizona and Mexico have allowed us to map depth to crystalline basement in this area where groundwater
is critically important. This basin, whose head lies in northern Mexico, hosts a major US-Mexico
migratory bird fly-way. A desire to preserve the surface water in the San Pedro River led to the
creation of the San Pedro National Riparian Conservation Area in 1988. To preserve the surface water,
one must know something about the aquifer underlying it. On the American side of the basin, time-domain
airborne geophysical methods were used to map the relatively conductive groundwater typical of an arid
region to depths of 150 - 400 meters in the absence of human cultural interference. In order to better
understand the hydrology of the basin as a whole, geophysical surveying has been extended southward
into the Sonoran San Pedro Valley of northern Mexico. An airborne magnetic survey in northern Mexico
has been processed to depth-to-magnetic-source, and concatenated to a magnetic data set from southern
Arizona to show depth to basement for the San Pedro Valley drainage. We then conducted a scalar Audio-
MagnetoTelluric (AMT) survey over four different lines in the Sonoran San Pedro basin, and processed
these data using a smooth-model inversion to conductivity-vs-depth profiles. As we view the
conductivity inversion results, we are in fact visualizing the highly conductive water typical of an
arid climate - in effect, we broadly image the saturated sediments. We then used an analytic signal
depth-to-source algorithm on magnetic data along the same profiles to constrain the AMT inversion.
The result is a unique set of geophysical profiles that clearly show basement structure beneath the
Sonoran San Pedro basin to depths of up to 800 meters. These constrained profiles help resolve
basement controls on groundwater flow in northern Mexico leading to the US frontier. It is impossible
to understand the groundwater regime except in the context of the volcanic and sedimentary history of
the region, and neither the geology nor the geophysics can be carried out independently of the other,
but the whole together contribute substantially more than the parts.
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