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Generalize the DC2D HTML movie maker.
Create example for 2 sphere problem
This commit is contained in:
D Fournier
@@ -0,0 +1,217 @@
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import os
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from SimPEG import np, sp, Utils, Mesh, mkvc
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import simpegDCIP as DC
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import pylab as plt
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#from ipywidgets import interact, IntSlider
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from matplotlib import animation
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from JSAnimation import HTMLWriter
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import time
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import re
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from readUBC_DC2DMesh import readUBC_DC2DMesh
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from readUBC_DC2DModel import readUBC_DC2DModel
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from readUBC_DC2DLoc import readUBC_DC2DLoc
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from convertObs_DC3D_to_2D import convertObs_DC3D_to_2D
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from readUBC_DC3Dobs import readUBC_DC3Dobs
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#%%
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home_dir = 'C:\\Users\\dominiquef.MIRAGEOSCIENCE\\ownCloud\\Research\\Modelling\\Synthetic\\Two_Sphere'
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msh_file = 'Mesh_2D.msh'
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mod_file = 'Model_2D.con'
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obs_file = 'FWR_data3D.dat'
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dsep = '\\'
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# Forward solver
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slvr = 'BiCGStab' #'LU'
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# Preconditioner
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pcdr = 'Jacobi'#'Gauss-Seidel'#
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# Number of padding cells to remove from plotting
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padc = 15
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# Load UBC mesh 2D
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mesh = readUBC_DC2DMesh(home_dir + dsep + msh_file)
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# Load model
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model = readUBC_DC2DModel(home_dir + dsep + mod_file)
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# load obs file
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[Tx,Rx,d,wd] = readUBC_DC3Dobs(home_dir + dsep + obs_file)
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[Tx, Rx] = convertObs_DC3D_to_2D(Tx,Rx)
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#%% Create system
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#Set boundary conditions
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mesh.setCellGradBC('neumann')
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Div = mesh.faceDiv
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Grad = mesh.cellGrad
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Msig = Utils.sdiag(1./(mesh.aveF2CC.T*(1./model)))
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A = Div*Msig*Grad
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# Change one corner to deal with nullspace
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A[0,0] = 1
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A = sp.csc_matrix(A)
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start_time = time.time()
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if re.match(slvr,'BiCGStab'):
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# Create Jacobi Preconditioner
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if re.match(pcdr,'Jacobi'):
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dA = A.diagonal()
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P = sp.spdiags(1/dA,0,A.shape[0],A.shape[0])
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# Create Gauss-Seidel Preconditioner
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elif re.match(pcdr,'Gauss-Seidel'):
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LD = sp.tril(A,k=0)
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#LDinv = sp.linalg.splu(LD)
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elif re.match(slvr,'LU'):
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# Factor A matrix
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Ainv = sp.linalg.splu(A)
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print("LU DECOMP--- %s seconds ---" % (time.time() - start_time))
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#%% Create SimPEG objects
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# Create sub-mesh for plotting
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hx = mesh.hx
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hy = mesh.hy
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hx_sub = hx[padc:-padc]
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hy_sub = hy[padc:]
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mesh_sub = Mesh.TensorMesh([hx_sub,hy_sub],(mesh.vectorNx[padc], mesh.vectorNy[padc]))
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model_sub = model.reshape(mesh.nCy,mesh.nCx)
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model_sub = mkvc(model_sub[padc:,padc:-padc].T)
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xx = mesh_sub.vectorCCx
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yy = mesh_sub.vectorCCy
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#%% Solve
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#txii = range(50,1950,100)
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#jx_CC_sub = np.zeros((len(txii),mesh_sub.nCx,mesh_sub.nCy))
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#jy_CC_sub = np.zeros((len(txii),mesh_sub.nCx,mesh_sub.nCy))
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fig = plt.figure(figsize=(10,5))
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axs = plt.axes(ylim = (yy[0],yy[-1]+mesh.hy[-1]*2), xlim = (xx[0],xx[-1]))#
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plt.tight_layout(pad=0.4, w_pad=0.5, h_pad=1.0)
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plt.ylim(yy[0],yy[-1]+mesh.hy[-1]*2)
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plt.xlim(xx[0],xx[-1])
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#im1 = axs.pcolormesh([],[],[], alpha=0.75,extent = (xx[0],xx[-1],yy[-1],yy[0]),interpolation='nearest',vmin=-1e-2, vmax=1e-2)
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#im2 = axs.pcolormesh([],[],[],alpha=0.2,extent = (xx[0],xx[-1],yy[-1],yy[0]),interpolation='nearest',cmap='gray')
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im1 = axs.pcolormesh(mesh_sub.vectorCCx,mesh_sub.vectorCCy,np.zeros((mesh_sub.nCy,mesh_sub.nCx)), alpha=0.75,vmin=-1e-2, vmax=1e-2)
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im2 = axs.pcolormesh(mesh_sub.vectorCCx,mesh_sub.vectorCCy,np.zeros((mesh_sub.nCy,mesh_sub.nCx)), alpha=0.75,vmin=-1e-2, vmax=1e-2)
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im3 = axs.streamplot(xx, yy, np.zeros((mesh_sub.nCy,mesh_sub.nCx)), np.zeros((mesh_sub.nCy,mesh_sub.nCx)),color='k')
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im4 = axs.scatter([],[], c='r', s=200)
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im5 = axs.scatter([],[], c='r', s=200)
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#==============================================================================
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# def init():
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# im1.set_data([[],[],[]])
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# im2.set_data([[],[],[]])
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#
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# return [im1]+[im2]
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#==============================================================================
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def animate(ii):
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#for ii in range(len(txii)):
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removeStream()
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tx = np.asarray(np.c_[Tx[ii],np.ones(Tx[ii].shape[0])*mesh.vectorNy[-1]-1])
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inds = Utils.closestPoints(mesh, tx )
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RHS = mesh.getInterpolationMat( tx , 'CC').T*( [-1,1] / mesh.vol[inds] )
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if re.match(slvr,'BiCGStab'):
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if re.match(pcdr,'Jacobi'):
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dA = A.diagonal()
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P = sp.spdiags(1/dA,0,A.shape[0],A.shape[0])
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# Iterative Solve
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phi = sp.linalg.bicgstab(P*A,P*RHS, tol=1e-5)
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phi = mkvc(phi[0])
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elif re.match(slvr,'LU'):
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#Direct Solve
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phi = Ainv.solve(RHS)
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j = -Msig*Grad*phi
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j_CC = mesh.aveF2CCV*j
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# Compute charge density solving div*grad*phi
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Q = -mesh.faceDiv*mesh.cellGrad*phi
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jx_CC = j_CC[0:mesh.nC].reshape(mesh.nCy,mesh.nCx)
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jy_CC = j_CC[mesh.nC:].reshape(mesh.nCy,mesh.nCx)
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#%% Grab only the core for presentation
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jx_CC_sub = jx_CC[padc:,padc:-padc]
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jy_CC_sub = jy_CC[padc:,padc:-padc]
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Q_sub = Q.reshape(mesh.nCy,mesh.nCx)
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Q_sub = Q_sub[padc:,padc:-padc]
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J_rho = np.sqrt(jx_CC_sub**2 + jy_CC_sub**2)
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lw = np.log10(J_rho/J_rho.min())
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#axs.imshow(Q_sub,alpha=0.75,extent = (xx[0],xx[-1],yy[-1],yy[0]),interpolation='nearest',vmin=-1e-2, vmax=1e-2)
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#axs.imshow(np.log10(model_sub.reshape(mesh_sub.nCy,mesh_sub.nCx)),alpha=0.2,extent = (xx[0],xx[-1],yy[-1],yy[0]),interpolation='nearest',cmap='gray')
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global im1
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im1 = axs.pcolormesh(mesh_sub.vectorCCx,mesh_sub.vectorCCy,Q_sub, alpha=0.75,vmin=-1e-2, vmax=1e-2)
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global im2
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im2 = axs.pcolormesh(mesh_sub.vectorCCx,mesh_sub.vectorCCy,np.log10(model_sub.reshape(mesh_sub.nCy,mesh_sub.nCx)), alpha=0.25)
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global im3
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im3 = axs.streamplot(xx, yy, jx_CC_sub, jy_CC_sub,color='k',linewidth = lw,density=0.5)
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global im4
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im4 = axs.scatter(tx[0,0],mesh.vectorNy[-1], c='r', s=75, marker='v' )
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global im5
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im5 = axs.scatter(tx[1,0],mesh.vectorNy[-1], c='b', s=75, marker='v' )
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#plt.show()
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#im1.set_array(Q_sub)
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#im2.set_array(np.log10(model_sub.reshape(mesh_sub.nCy,mesh_sub.nCx)))
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#im2.set_array(mesh_sub.vectorCCx, mesh_sub.vectorCCy,jx_CC_sub.T,jy_CC_sub.T)
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#return [im1] + [im2]
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#%% Create widget
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def removeStream():
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global im1
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im1.remove()
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global im2
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im2.remove()
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global im3
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im3.lines.remove()
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axs.patches = []
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global im4
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im4.remove()
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global im5
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im5.remove()
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#def viewInv(msh,iteration):
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#, linewidth=lw.T
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#%%
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#interact(viewInv,msh = mesh_sub, iteration = IntSlider(min=0, max=len(txii)-1 ,step=1, value=0))
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# set embed_frames=True to embed base64-encoded frames directly in the HTML
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anim = animation.FuncAnimation(fig, animate,
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frames=len(Tx), interval=5)
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anim.save(home_dir + '\\animation.html', writer=HTMLWriter(embed_frames=True))
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@@ -1,139 +0,0 @@
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import os
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home_dir = 'C:\Users\dominiquef.MIRAGEOSCIENCE\Documents\GIT\SimPEG\simpegdc\simpegDCIP\Dev'
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os.chdir(home_dir)
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#%%
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from SimPEG import np, Utils, Mesh, mkvc, SolverLU
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import simpegDCIP as DC
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import pylab as plt
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#from ipywidgets import interact, IntSlider
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from matplotlib import animation
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from JSAnimation import HTMLWriter
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from readUBC_DC2DMesh import readUBC_DC2DMesh
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from readUBC_DC2DModel import readUBC_DC2DModel
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from readUBC_DC2DLoc import readUBC_DC2DLoc
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# Number of padding cells to remove from plotting
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padc = 16
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# Load UBC mesh 2D
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mesh = readUBC_DC2DMesh('mesh2d_fine.txt')
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# Load model
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model = readUBC_DC2DModel('model2d_fine.con')
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# load obs file
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[txLoc,rxLoc,d,wd] = readUBC_DC2DLoc('obs2d_East.loc')
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# Create SimPEG objects
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rx = DC.RxDipole(rxLoc[:,0], rxLoc[:,1])
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#tx = DC.SrcDipole([rx],txLoc[200,0],txLoc[200,1])
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# Create sub-mesh for plotting
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hx = mesh.hx
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hy = mesh.hy
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hx_sub = hx[padc:-padc]
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hy_sub = hy[padc:]
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mesh_sub = Mesh.TensorMesh([hx_sub,hy_sub],(hx_sub[0], -sum(hy_sub)))
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model_sub = model.reshape(mesh.nCy,mesh.nCx)
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model_sub = mkvc(model_sub[padc:,padc:-padc].T)
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xx = mesh_sub.vectorCCx
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yy = mesh_sub.vectorCCy
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#%% Solve
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txii = range(50,1950,100)
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#jx_CC_sub = np.zeros((len(txii),mesh_sub.nCx,mesh_sub.nCy))
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#jy_CC_sub = np.zeros((len(txii),mesh_sub.nCx,mesh_sub.nCy))
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fig = plt.figure(figsize=(10,5))
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axs = plt.axes(ylim=(-800,50), xlim=(25,2000))
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plt.tight_layout(pad=0.4, w_pad=0.5, h_pad=1.0)
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im1 = axs.imshow([[],[]], alpha=0.75,extent = (xx[0],xx[-1],yy[-1],yy[0]),interpolation='nearest',vmin=-1e-2, vmax=1e-2)
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im2 = axs.imshow([[],[]],alpha=0.2,extent = (xx[0],xx[-1],yy[-1],yy[0]),interpolation='nearest',cmap='gray')
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im3 = axs.streamplot(mesh_sub.vectorCCx, mesh_sub.vectorCCy, np.zeros((mesh_sub.nCy,mesh_sub.nCx)), np.zeros((mesh_sub.nCy,mesh_sub.nCx)),color='k')
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im4 = axs.scatter([],[], c='r', s=200)
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def init():
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im1.set_data([[],[]])
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im2.set_data([[],[]])
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return [im1]+[im2]
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def animate(ii):
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#for ii in range(len(txii)):
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removeStream()
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tx = DC.SrcDipole([rx],txii[ii],txii[ii])
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survey = DC.SurveyDC([tx])
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problem = DC.ProblemDC_CC(mesh)
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problem.pair(survey)
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problem.Solver = SolverLU
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u1 = problem.fields(model)
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Msig1 = Utils.sdiag(1./(mesh.aveF2CC.T*(1./model)))
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j = -Msig1*mesh.cellGrad*u1[tx, 'phi_sol']
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j_CC = mesh.aveF2CCV*j
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# Compute charge density solving div*grad*phi
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Q = -mesh.faceDiv*mesh.cellGrad*u1[tx, 'phi_sol']
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jx_CC = j_CC[0:mesh.nC].reshape(mesh.nCy,mesh.nCx).T
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jy_CC = j_CC[mesh.nC:].reshape(mesh.nCy,mesh.nCx).T
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#%% Grab only the core for presentation
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jx_CC_sub = jx_CC[padc:-padc,padc:]
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jy_CC_sub = jy_CC[padc:-padc,padc:]
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Q_sub = Q.reshape(mesh.nCy,mesh.nCx)
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Q_sub = Q_sub[padc:,padc:-padc]
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J_rho = np.sqrt(jx_CC_sub**2 + jy_CC_sub**2)
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lw = np.log10(J_rho/J_rho.min())
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#axs.imshow(Q_sub,alpha=0.75,extent = (xx[0],xx[-1],yy[-1],yy[0]),interpolation='nearest',vmin=-1e-2, vmax=1e-2)
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#axs.imshow(np.log10(model_sub.reshape(mesh_sub.nCy,mesh_sub.nCx)),alpha=0.2,extent = (xx[0],xx[-1],yy[-1],yy[0]),interpolation='nearest',cmap='gray')
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global im3
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im3 = axs.streamplot(mesh_sub.vectorCCx, mesh_sub.vectorCCy, jx_CC_sub.T, jy_CC_sub.T,color='k',linewidth = lw.T,density=1.25)
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global im4
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im4 = axs.scatter(txii[ii],10, c='r', s=60, marker='+' )
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#plt.show()
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im1.set_array(Q_sub)
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im2.set_array(np.log10(model_sub.reshape(mesh_sub.nCy,mesh_sub.nCx)))
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#im2.set_array(mesh_sub.vectorCCx, mesh_sub.vectorCCy,jx_CC_sub.T,jy_CC_sub.T)
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return [im1] + [im2]
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#%% Create widget
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def removeStream():
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global im3
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im3.lines.remove()
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axs.patches = []
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global im4
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im4.remove()
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#def viewInv(msh,iteration):
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#, linewidth=lw.T
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#%%
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#interact(viewInv,msh = mesh_sub, iteration = IntSlider(min=0, max=len(txii)-1 ,step=1, value=0))
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# set embed_frames=True to embed base64-encoded frames directly in the HTML
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anim = animation.FuncAnimation(fig, animate, init_func=init,
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frames=len(txii), interval=10)
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anim.save('animation.html', writer=HTMLWriter(embed_frames=True))
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@@ -43,7 +43,7 @@ dsep = '\\'
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#from scipy.linalg import solve_banded
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# Load UBC mesh 3D
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mesh = Utils.meshutils.readUBCTensorMesh(home_dir + '\Mesh_10m.msh')
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mesh = Utils.meshutils.readUBCTensorMesh(home_dir + '\Mesh_5m.msh')
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#mesh = Utils.meshutils.readUBCTensorMesh(home_dir + '\MtIsa_20m.msh')
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#mesh = Utils.meshutils.readUBCTensorMesh(home_dir + '\Mesh_50m.msh')
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@@ -74,6 +74,9 @@ flr = 1e-4
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chifact = 100
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ref_mod = 1e-2
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# DOI threshold
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cutoff = 0.8
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#%% Create system
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#Set boundary conditions
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mesh.setCellGradBC('neumann')
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@@ -276,7 +279,7 @@ if not re.match(stype,'gradient'):
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# m3D = np.reshape(model, (mesh.nCz, mesh.nCy, mesh.nCx))
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# m2D = m3D[:,1,:]
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#==============================================================================
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#%%
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plt.figure()
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axs = plt.subplot(1,1,1)
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@@ -284,8 +287,8 @@ if not re.match(stype,'gradient'):
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plt.ylim([mesh2d.vectorNy[-1]-dl_len/2,mesh2d.vectorNy[-1]+2*dx])
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plt.gca().set_aspect('equal', adjustable='box')
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circle1=plt.Circle((150,1500),50,color='w',fill=False, lw=3)
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circle2=plt.Circle((325,1500),50,color='k',fill=False, lw=3)
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circle1=plt.Circle((144,1500),50,color='w',fill=False, lw=3)
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circle2=plt.Circle((344,1500),50,color='k',fill=False, lw=3)
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axs.add_artist(circle1)
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axs.add_artist(circle2)
|
||||
plt.pcolormesh(mesh2d.vectorNx,mesh2d.vectorNy,np.log10(m2D))#axes = [mesh2d.vectorNx[0],mesh2d.vectorNx[-1],mesh2d.vectorNy[0],mesh2d.vectorNy[-1]])
|
||||
@@ -307,66 +310,130 @@ if not re.match(stype,'gradient'):
|
||||
plt.ylim([mesh2d.vectorNy[-1]-dl_len/2,mesh2d.vectorNy[-1]+2*dx])
|
||||
plt.gca().set_aspect('equal', adjustable='box')
|
||||
|
||||
circle1=plt.Circle((150,1500),50,color='w',fill=False, lw=3)
|
||||
circle2=plt.Circle((325,1500),50,color='k',fill=False, lw=3)
|
||||
circle1=plt.Circle((144,1500),50,color='w',fill=False, lw=3)
|
||||
circle2=plt.Circle((344,1500),50,color='k',fill=False, lw=3)
|
||||
axs.add_artist(circle1)
|
||||
axs.add_artist(circle2)
|
||||
|
||||
plot_pseudoSection(Tx2d,Rx2d,data,nz[-1],stype)
|
||||
plt.show()
|
||||
|
||||
#%% Create dcin2d inversion files and run
|
||||
inv_dir = home_dir + '\Inv2D'
|
||||
if not os.path.exists(inv_dir):
|
||||
os.makedirs(inv_dir)
|
||||
#%% Run two inversions with different reference models and compute a DOI
|
||||
|
||||
invmod = []
|
||||
refmod = []
|
||||
plt.figure()
|
||||
|
||||
for jj in range(2):
|
||||
|
||||
# Create dcin2d inversion files and run
|
||||
inv_dir = home_dir + '\Inv2D'
|
||||
if not os.path.exists(inv_dir):
|
||||
os.makedirs(inv_dir)
|
||||
|
||||
mshfile2d = 'Mesh_2D.msh'
|
||||
modfile2d = 'Model_2D.con'
|
||||
obsfile2d = 'FWR_3D_2_2D.dat'
|
||||
inp_file = 'dcinv2d.inp'
|
||||
|
||||
mshfile2d = 'Mesh_2D.msh'
|
||||
modfile2d = 'MtIsa_2D.con'
|
||||
obsfile2d = 'FWR_3D_2_2D.dat'
|
||||
inp_file = 'dcinv2d.inp'
|
||||
|
||||
# Export 2D mesh
|
||||
fid = open(inv_dir + dsep + mshfile2d,'w')
|
||||
fid.write('%i\n'% mesh2d.nCx)
|
||||
fid.write('%f %f 1\n'% (mesh2d.vectorNx[0],mesh2d.vectorNx[1]))
|
||||
np.savetxt(fid, np.c_[mesh2d.vectorNx[2:],np.ones(mesh2d.nCx-1)], fmt='\t %e %i',delimiter=' ',newline='\n')
|
||||
fid.write('\n')
|
||||
fid.write('%i\n'% mesh2d.nCy)
|
||||
fid.write('%f %f 1\n'%( 0,mesh2d.hy[-1]))
|
||||
np.savetxt(fid, np.c_[np.cumsum(mesh2d.hy[-2::-1])+mesh2d.hy[-1],np.ones(mesh2d.nCy-1)], fmt='\t %e %i',delimiter=' ',newline='\n')
|
||||
fid.close()
|
||||
|
||||
# Export 2D model
|
||||
fid = open(inv_dir + dsep + modfile2d,'w')
|
||||
fid.write('%i %i\n'% (mesh2d.nCx,mesh2d.nCy))
|
||||
np.savetxt(fid, mkvc(m2D[::-1,:].T), fmt='%e',delimiter=' ',newline='\n')
|
||||
fid.close()
|
||||
|
||||
# Export data file
|
||||
writeUBC_DCobs(inv_dir + dsep + obsfile2d,Tx2d,Rx2d,data,unct,'2D')
|
||||
|
||||
# Write input file
|
||||
fid = open(inv_dir + dsep + inp_file,'w')
|
||||
fid.write('OBS LOC_X %s \n'% obsfile2d)
|
||||
fid.write('MESH FILE %s \n'% mshfile2d)
|
||||
fid.write('CHIFACT 1 %f\n'% chifact)
|
||||
fid.write('TOPO DEFAULT %s \n')
|
||||
fid.write('INIT_MOD DEFAULT\n')
|
||||
fid.write('REF_MOD VALUE %e\n'% (ref_mod*(jj+1)))
|
||||
fid.write('ALPHA DEFAULT\n')
|
||||
fid.write('WEIGHT DEFAULT\n')
|
||||
fid.write('STORE_ALL_MODELS FALSE\n')
|
||||
fid.write('INVMODE SVD\n')
|
||||
fid.write('USE_MREF TRUE\n')
|
||||
fid.close()
|
||||
|
||||
os.chdir(inv_dir)
|
||||
os.system('dcinv2d ' + inp_file)
|
||||
|
||||
|
||||
#Load model
|
||||
minv = readUBC_DC2DModel(inv_dir + dsep + 'dcinv2d.con')
|
||||
|
||||
axs = plt.subplot(2,1,jj+1)
|
||||
|
||||
plt.xlim([-dx,nc*dx+dx])
|
||||
plt.ylim([mesh2d.vectorNy[-1]-dl_len/2,mesh2d.vectorNy[-1]+2*dx])
|
||||
plt.gca().set_aspect('equal', adjustable='box')
|
||||
|
||||
minv = np.reshape(minv,(mesh2d.nCy,mesh2d.nCx))
|
||||
#plt.pcolormesh(mesh2d.vectorNx,mesh2d.vectorNy,np.log10(m2D),alpha=0.5, cmap='gray')
|
||||
|
||||
circle1=plt.Circle((144,1500),50,color='w',fill=False, lw=3)
|
||||
circle2=plt.Circle((344,1500),50,color='k',fill=False, lw=3)
|
||||
axs.add_artist(circle1)
|
||||
axs.add_artist(circle2)
|
||||
|
||||
|
||||
axp = plt.pcolormesh(mesh2d.vectorNx,mesh2d.vectorNy,np.log10(minv),alpha=1,vmin = -2.25, vmax = -1.5)
|
||||
|
||||
plt.show()
|
||||
|
||||
if jj == 1:
|
||||
|
||||
plt.ylabel('(b)',rotation=360)
|
||||
plt.xlabel('Distance (m)')
|
||||
|
||||
else:
|
||||
plt.ylabel('(a)',rotation=360)
|
||||
|
||||
|
||||
cbar = plt.colorbar(format = '%.2f',fraction=0.05,orientation='vertical',pad=0.02)
|
||||
cmin,cmax = cbar.get_clim()
|
||||
ticks = np.linspace(cmin,cmax,3)
|
||||
cbar.set_ticks(ticks)
|
||||
#cbar.set_ticklabels('%.2f')
|
||||
|
||||
invmod.append(minv)
|
||||
refmod.append(ref_mod*(jj+1))
|
||||
|
||||
#%% Compute DOI
|
||||
DOI = np.abs(invmod[0] - invmod[1]) / np.abs(refmod[0] - refmod[1])
|
||||
# Normalize between [0 1]
|
||||
DOI = DOI - np.min(DOI)
|
||||
DOI = (1.- DOI/np.max(DOI))
|
||||
DOI[DOI > cutoff] = 1
|
||||
|
||||
plt.figure()
|
||||
plt.xlim([-dx,nc*dx+dx])
|
||||
plt.ylim([mesh2d.vectorNy[-1]-dl_len/2,mesh2d.vectorNy[-1]+2*dx])
|
||||
plt.gca().set_aspect('equal', adjustable='box')
|
||||
|
||||
# Export 2D mesh
|
||||
fid = open(inv_dir + dsep + mshfile2d,'w')
|
||||
fid.write('%i\n'% mesh2d.nCx)
|
||||
fid.write('%f %f 1\n'% (mesh2d.vectorNx[0],mesh2d.vectorNx[1]))
|
||||
np.savetxt(fid, np.c_[mesh2d.vectorNx[2:],np.ones(mesh2d.nCx-1)], fmt='\t %e %i',delimiter=' ',newline='\n')
|
||||
fid.write('\n')
|
||||
fid.write('%i\n'% mesh2d.nCy)
|
||||
fid.write('%f %f 1\n'%( 0,mesh2d.hy[-1]))
|
||||
np.savetxt(fid, np.c_[np.cumsum(mesh2d.hy[-2::-1])+mesh2d.hy[-1],np.ones(mesh2d.nCy-1)], fmt='\t %e %i',delimiter=' ',newline='\n')
|
||||
fid.close()
|
||||
plt.pcolormesh(mesh2d.vectorNx,mesh2d.vectorNy,DOI,alpha=1)
|
||||
cbar = plt.colorbar(format = '%.2f',fraction=0.02)
|
||||
|
||||
# Export 2D model
|
||||
fid = open(inv_dir + dsep + modfile2d,'w')
|
||||
fid.write('%i %i\n'% (mesh2d.nCx,mesh2d.nCy))
|
||||
np.savetxt(fid, mkvc(m2D[::-1,:].T), fmt='%e',delimiter=' ',newline='\n')
|
||||
fid.close()
|
||||
|
||||
# Export data file
|
||||
writeUBC_DCobs(inv_dir + dsep + obsfile2d,Tx2d,Rx2d,data,unct,'2D')
|
||||
|
||||
# Write input file
|
||||
fid = open(inv_dir + dsep + inp_file,'w')
|
||||
fid.write('OBS LOC_X %s \n'% obsfile2d)
|
||||
fid.write('MESH FILE %s \n'% mshfile2d)
|
||||
fid.write('CHIFACT 1 %f\n'% chifact)
|
||||
fid.write('TOPO DEFAULT %s \n')
|
||||
fid.write('INIT_MOD DEFAULT\n')
|
||||
fid.write('REF_MOD VALUE %e\n'% ref_mod)
|
||||
fid.write('ALPHA DEFAULT\n')
|
||||
fid.write('WEIGHT DEFAULT\n')
|
||||
fid.write('STORE_ALL_MODELS FALSE\n')
|
||||
fid.write('INVMODE SVD\n')
|
||||
fid.write('USE_MREF TRUE\n')
|
||||
fid.close()
|
||||
|
||||
os.chdir(inv_dir)
|
||||
os.system('dcinv2d ' + inp_file)
|
||||
|
||||
#%%
|
||||
#Load model
|
||||
minv = readUBC_DC2DModel(inv_dir + dsep + 'dcinv2d.con')
|
||||
#%% Replace alpha values from inversion
|
||||
#rgba_plt = axp.get_facecolor()
|
||||
#rgba_plt[:,3] = mkvc(DOI)/2
|
||||
plt.figure()
|
||||
axs = plt.subplot(1,1,1)
|
||||
|
||||
@@ -374,22 +441,20 @@ if not re.match(stype,'gradient'):
|
||||
plt.ylim([mesh2d.vectorNy[-1]-dl_len/2,mesh2d.vectorNy[-1]+2*dx])
|
||||
plt.gca().set_aspect('equal', adjustable='box')
|
||||
|
||||
minv = np.reshape(minv,(mesh2d.nCy,mesh2d.nCx))
|
||||
#plt.pcolormesh(mesh2d.vectorNx,mesh2d.vectorNy,np.log10(m2D),alpha=0.5, cmap='gray')
|
||||
|
||||
circle1=plt.Circle((150,1500),50,color='w',fill=False, lw=3)
|
||||
circle2=plt.Circle((325,1500),50,color='k',fill=False, lw=3)
|
||||
circle1=plt.Circle((144,1500),50,color='w',fill=False, lw=3)
|
||||
circle2=plt.Circle((344,1500),50,color='k',fill=False, lw=3)
|
||||
axs.add_artist(circle1)
|
||||
axs.add_artist(circle2)
|
||||
|
||||
axp = plt.pcolormesh(mesh2d.vectorNx,mesh2d.vectorNy,np.log10(minv),alpha=1,vmin = np.min(np.log10(minv)), vmax = np.max(np.log10(minv)))
|
||||
#t = [-3, -2, -1]
|
||||
axs = plt.pcolor(mesh2d.vectorNx,mesh2d.vectorNy,np.log10(invmod[0]),edgecolor="none")
|
||||
plt.draw()
|
||||
cbar = plt.colorbar(format = '%.2f',fraction=0.02)
|
||||
cmin,cmax = cbar.get_clim()
|
||||
ticks = np.linspace(cmin,cmax,3)
|
||||
cbar.set_ticks(ticks)
|
||||
#cbar.set_ticklabels('%.2f')
|
||||
|
||||
aa = axs.get_facecolors()
|
||||
aa[:,3] = mkvc(DOI.T)
|
||||
axs.set_facecolor(aa)
|
||||
|
||||
plt.draw()
|
||||
|
||||
#%% Othrwise it is a gradient array, plot surface of apparent resisitivty
|
||||
elif re.match(stype,'gradient'):
|
||||
|
||||
|
||||
@@ -37,29 +37,30 @@ from gen_DCIPsurvey import gen_DCIPsurvey
|
||||
from convertObs_DC3D_to_2D import convertObs_DC3D_to_2D
|
||||
import os
|
||||
|
||||
home_dir = 'C:\\Users\\dominiquef.MIRAGEOSCIENCE\\ownCloud\\Research\\Modelling\\Synthetic\\Two_Sphere'
|
||||
#home_dir = 'C:\\Users\\dominiquef.MIRAGEOSCIENCE\\ownCloud\\Research\\Modelling\\Synthetic\\Two_Sphere'
|
||||
home_dir ='C:\\LC\Private\\dominiquef\\Projects\\4414_Minsim\\Model'
|
||||
dsep = '\\'
|
||||
#from scipy.linalg import solve_banded
|
||||
|
||||
# Load UBC mesh 3D
|
||||
mesh = Utils.meshutils.readUBCTensorMesh(home_dir + '\Mesh_10m.msh')
|
||||
#mesh = Utils.meshutils.readUBCTensorMesh(home_dir + '\Mesh_10m.msh')
|
||||
#mesh = Utils.meshutils.readUBCTensorMesh(home_dir + '\MtIsa_20m.msh')
|
||||
#mesh = Utils.meshutils.readUBCTensorMesh(home_dir + '\Mesh_50m.msh')
|
||||
mesh = Utils.meshutils.readUBCTensorMesh(home_dir + '\Mesh_50m.msh')
|
||||
|
||||
# Load model
|
||||
#model = Utils.meshutils.readUBCTensorModel(home_dir + '\MtIsa_3D.con',mesh)
|
||||
#model = Utils.meshutils.readUBCTensorModel(home_dir + '\Synthetic.con',mesh)
|
||||
#model = Utils.meshutils.readUBCTensorModel(home_dir + '\Lalor_model_50m.con',mesh)
|
||||
model = Utils.meshutils.readUBCTensorModel(home_dir + '\TwoSpheres.con',mesh)
|
||||
model = Utils.meshutils.readUBCTensorModel(home_dir + '\Lalor_model_50m.con',mesh)
|
||||
#model = Utils.meshutils.readUBCTensorModel(home_dir + '\TwoSpheres.con',mesh)
|
||||
|
||||
#model = model**0 * 1e-2
|
||||
# Specify survey type
|
||||
stype = 'dpdp'
|
||||
stype = 'pdp'
|
||||
|
||||
# Survey parameters
|
||||
a = 30
|
||||
b = 30
|
||||
n = 20
|
||||
a = 150
|
||||
b = 150
|
||||
n = 40
|
||||
|
||||
# Forward solver
|
||||
slvr = 'BiCGStab' #'LU'
|
||||
@@ -71,7 +72,7 @@ pcdr = 'Jacobi'#'Gauss-Seidel'#
|
||||
pct = 0.01
|
||||
flr = 1e-4
|
||||
chifact = 100
|
||||
ref_mod = 1e-2
|
||||
ref_mod = 1e-3
|
||||
|
||||
#%% Create system
|
||||
#Set boundary conditions
|
||||
@@ -112,8 +113,8 @@ top = int(mesh.nCz)-1
|
||||
plt.figure()
|
||||
ax_prim = plt.subplot(1,1,1)
|
||||
mesh.plotSlice(model, ind=top, normal='Z', grid=False, pcolorOpts={'alpha':0.5}, ax =ax_prim)
|
||||
plt.xlim([423000,424000])
|
||||
plt.ylim([546200,547000])
|
||||
#plt.xlim([423000,424000])
|
||||
#plt.ylim([546200,547000])
|
||||
plt.gca().set_aspect('equal', adjustable='box')
|
||||
|
||||
plt.show()
|
||||
@@ -129,7 +130,7 @@ plt.sca(ax_prim)
|
||||
|
||||
# Takes two points from ginput and create survey
|
||||
#if re.match(stype,'gradient'):
|
||||
# gin = [(423187. , 546311.), (423867. , 546991.)]
|
||||
#gin = [(425347, 6079766), (427792, 6081806)]
|
||||
#else:
|
||||
gin = plt.ginput(2, timeout = 0)
|
||||
|
||||
@@ -280,7 +281,7 @@ if not re.match(stype,'gradient'):
|
||||
axs = plt.subplot(2,1,1)
|
||||
|
||||
plt.xlim([0,nc*dx])
|
||||
plt.ylim([mesh2d.vectorNy[-1]-dl_len/2,mesh2d.vectorNy[-1]])
|
||||
plt.ylim([mesh2d.vectorNy[-1]-dl_len,mesh2d.vectorNy[-1]])
|
||||
plt.gca().set_aspect('equal', adjustable='box')
|
||||
|
||||
plt.pcolormesh(mesh2d.vectorNx,mesh2d.vectorNy,np.log10(m2D),alpha=0.5, cmap='gray')#axes = [mesh2d.vectorNx[0],mesh2d.vectorNx[-1],mesh2d.vectorNy[0],mesh2d.vectorNy[-1]])
|
||||
@@ -348,27 +349,29 @@ if not re.match(stype,'gradient'):
|
||||
axs = plt.subplot(2,1,2)
|
||||
|
||||
plt.xlim([0,nc*dx])
|
||||
plt.ylim([mesh2d.vectorNy[-1]-dl_len/2,mesh2d.vectorNy[-1]])
|
||||
plt.ylim([mesh2d.vectorNy[-1]-dl_len,mesh2d.vectorNy[-1]])
|
||||
plt.gca().set_aspect('equal', adjustable='box')
|
||||
|
||||
minv = np.reshape(minv,(mesh2d.nCy,mesh2d.nCx))
|
||||
plt.pcolormesh(mesh2d.vectorNx,mesh2d.vectorNy,np.log10(m2D),alpha=0.5, cmap='gray')
|
||||
plt.pcolormesh(mesh2d.vectorNx,mesh2d.vectorNy,np.log10(minv),alpha=0.5, clim=(np.min(np.log10(m2D)),np.max(np.log10(m2D))))
|
||||
plt.colorbar
|
||||
|
||||
cbar = plt.colorbar(format = '%.2f',fraction=0.02)
|
||||
cmin,cmax = cbar.get_clim()
|
||||
ticks = np.linspace(cmin,cmax,3)
|
||||
cbar.set_ticks(ticks)
|
||||
|
||||
#%% Othrwise it is a gradient array, plot surface of apparent resisitivty
|
||||
elif re.match(stype,'gradient'):
|
||||
|
||||
rC1P1 = np.sqrt( np.sum( (npm.repmat(Tx[0][0:2,0],Rx[0].shape[0], 1) - Rx[0][:,0:2])**2, axis=1 ))
|
||||
rC2P1 = np.sqrt( np.sum( (npm.repmat(Tx[0][0:2,1],Rx[0].shape[0], 1) - Rx[0][:,0:2])**2, axis=1 ))
|
||||
rC1P2 = np.sqrt( np.sum( (npm.repmat(Tx[0][0:2,1],Rx[0].shape[0], 1) - Rx[0][:,3:5])**2, axis=1 ))
|
||||
rC2P2 = np.sqrt( np.sum( (npm.repmat(Tx[0][0:2,0],Rx[0].shape[0], 1) - Rx[0][:,3:5])**2, axis=1 ))
|
||||
rC1P2 = np.sqrt( np.sum( (npm.repmat(Tx[0][0:2,0],Rx[0].shape[0], 1) - Rx[0][:,3:5])**2, axis=1 ))
|
||||
rC2P2 = np.sqrt( np.sum( (npm.repmat(Tx[0][0:2,1],Rx[0].shape[0], 1) - Rx[0][:,3:5])**2, axis=1 ))
|
||||
|
||||
rC1C2 = np.sqrt( np.sum( (npm.repmat(Tx[0][0:2,0]-Tx[0][0:2,1],Rx[0].shape[0], 1) )**2, axis=1 ))
|
||||
rP1P2 = np.sqrt( np.sum( (Rx[0][:,0:2] - Rx[0][:,3:5])**2, axis=1 ))
|
||||
|
||||
rho = np.abs(data[0]) * np.pi *((rC1P1)**2 / rP1P2)#/ ( 1/rC1P1 - 1/rC2P1 - 1/rC1P2 + 1/rC2P2 )
|
||||
rho = np.abs(data[0]) *np.pi *2. / ( 1/rC1P1 - 1/rC2P1 - 1/rC1P2 + 1/rC2P2 )#*((rC1P1)**2 / rP1P2)#
|
||||
|
||||
Pmid = (Rx[0][:,0:2] + Rx[0][:,3:5])/2
|
||||
|
||||
@@ -378,7 +381,10 @@ elif re.match(stype,'gradient'):
|
||||
|
||||
|
||||
#plt.subplot(2,1,2)
|
||||
plt.figure()
|
||||
plt.imshow(grid_rho.T, extent = (np.min(grid_x),np.max(grid_x),np.min(grid_z),np.max(grid_z)) ,origin='lower')
|
||||
|
||||
var = 'Gradient Array - a-spacing: ' + str(a) + ' m'
|
||||
plt.title(var)
|
||||
plt.colorbar()
|
||||
plt.contour(grid_x,grid_z,grid_rho, colors='k')
|
||||
File diff suppressed because one or more lines are too long
@@ -35,7 +35,13 @@ def readUBC_DC2DModel(fileName):
|
||||
model = model[:,::-1]
|
||||
|
||||
else:
|
||||
mm = np.array(obsfile[1:].split(),dtype=float)
|
||||
|
||||
if len(obsfile[1:])==1:
|
||||
mm = np.array(obsfile[1:].split(),dtype=float)
|
||||
|
||||
else:
|
||||
mm = np.array(obsfile[1:],dtype=float)
|
||||
|
||||
# Permute the second dimension to flip the order
|
||||
model = mm.reshape(dim[1],dim[0])
|
||||
|
||||
Reference in New Issue
Block a user