simpeg/notebooks/DCR Pseudo-section Simulation.ipynb

DCR Pseudo-section Simulation

In [1]:

from SimPEG import *
from SimPEG.Examples import DC_PseudoSection_Simulation

from ipywidgets import interactive, FloatText, FloatSlider, ToggleButtons #interactive plots!

%matplotlib inline

Efficiency Warning: Interpolation will be slow, use setup.py!

            python setup.py build_ext --inplace
    

In [2]:

fig, ax = DC_PseudoSection_Simulation.run()

Transmitter 8 of 9 -> Time:0.957999944687 sec Transmitter 8 of 9
Forward completed

Now that we have a tool to forward model data in 3D space, we can experiment with different survey configurations.

We here give the two options: pole-dipole (pdp) or dipole-dipole (dpdp).

In both cases we need to specify three important parameter.

a: Transmitter and receivers seperation (m)

b: Dipole seperation (m)

n: Number of receiver dipoles along line

We can also specify values of conductivity for the background (sig0) and the two sphere anomalies (sig1 and sig2).

In [3]:

Simul_Fct = lambda a,b,n, sig0, sig1, sig2, stype: DC_PseudoSection_Simulation.run(param = np.r_[a,b,n], sig=np.r_[sig0,sig1,sig2], stype = stype)

interactive(Simul_Fct, a=FloatText(min=10.,max=40.,step=5.,value=30.),
                        b=FloatText(min=10.,max=40.,step=5.,value=30.),
                        n=FloatText(min=1,max=30,step=5,value=10.),
                        sig0=FloatText(min=1e-4,max=1e+4,step=1e+1,value=1e-2),
                        sig1=FloatText(min=1e-4,max=1e+4,step=1e+1,value=1e-1),
                        sig2=FloatText(min=1e-4,max=1e+4,step=1e+1,value=1e-3),
                        stype=ToggleButtons(options=['pdp','dpdp'],value='dpdp'))
                       

Transmitter 8 of 9 -> Time:0.968999862671 sec Transmitter 8 of 9
Forward completed

(<matplotlib.figure.Figure at 0x38c8400>,
 <matplotlib.axes._subplots.AxesSubplot at 0x187e9828>)

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