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https://github.com/HongjianFang/DSurfTomo.git
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43 lines
1.0 KiB
Python
43 lines
1.0 KiB
Python
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#!/usr/bin/env python
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# the checkerboard should use the initial model as background model, then add
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# some pertubations
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# remember to move MOD.true to the directory where you want to run DSurfTomo
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import numpy as np
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import matplotlib.pyplot as plt
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#parameters you need to change
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#start
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nx=18
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ny=18
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nz=9
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minvel=0.9
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velgrad=0.6
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dep1=[0,0.2,0.4,0.6,0.8,1.1,1.4,1.8,2.5]
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anosize=1.0
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amplitude=0.4
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#end
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x=range(1,nx+1)
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y=range(1,ny+1)
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z=range(1,nz+1)
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z=np.ones(nz)
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bg=np.zeros((nz,nx,ny))
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cross=np.zeros((nz,ny))
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vs1=np.zeros(nz)
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xy=np.kron(np.sin(anosize*np.array(y)),np.sin(anosize*np.array(x)))
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xyz=np.kron(z,xy)
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pxy=xyz.reshape(nz,nx,ny)
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for k in range(nz):
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for j in range(ny):
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for i in range(nx):
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bg[k,i,j]= minvel+dep1[k]*velgrad
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mod=np.zeros((nz*ny,nx))
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for k in range(nz):
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for j in range(ny):
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for i in range(nx):
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mod[(k)*ny+j,i]=bg[k,i,j]+pxy[k,i,j]*amplitude
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k=5
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plt.imshow(mod[k*ny:(k+1)*ny,:],cmap='jet_r',interpolation='bicubic')
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np.savetxt('MOD.true',mod,fmt='%4.4f')
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plt.colorbar()
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plt.show()
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