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https://github.com/wassname/simpeg.git
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seogi_macbook
935 lines
26 KiB
Python
935 lines
26 KiB
Python
from SimPEG import np
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import BaseDC as DC
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import BaseDC as IP
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def getActiveindfromTopo(mesh, topo):
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# def genActiveindfromTopo(mesh, topo):
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"""
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Get active indices from topography
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"""
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from scipy.interpolate import NearestNDInterpolator
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if mesh.dim==3:
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nCxy = mesh.nCx*mesh.nCy
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Zcc = mesh.gridCC[:,2].reshape((nCxy, mesh.nCz), order='F')
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Ftopo = NearestNDInterpolator(topo[:,:2], topo[:,2])
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XY = Utils.ndgrid(mesh.vectorCCx, mesh.vectorCCy)
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XY.shape
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topo = Ftopo(XY)
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actind = []
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for ixy in range(nCxy):
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actind.append(topo[ixy] <= Zcc[ixy,:])
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else:
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raise NotImplementedError("Only 3D is working")
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return Utils.mkvc(np.vstack(actind))
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def gettopoCC(mesh, airind):
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# def gettopoCC(mesh, airind):
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"""
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Get topography from active indices of mesh.
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"""
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mesh2D = Mesh.TensorMesh([mesh.hx, mesh.hy], mesh.x0[:2])
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zc = mesh.gridCC[:,2]
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AIRIND = airind.reshape((mesh.vnC[0]*mesh.vnC[1],mesh.vnC[2]), order='F')
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ZC = zc.reshape((mesh.vnC[0]*mesh.vnC[1], mesh.vnC[2]), order='F')
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topo = np.zeros(ZC.shape[0])
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topoCC = np.zeros(ZC.shape[0])
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for i in range(ZC.shape[0]):
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ind = np.argmax(ZC[i,:][~AIRIND[i,:]])
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topo[i] = ZC[i,:][~AIRIND[i,:]].max() + mesh.hz[~AIRIND[i,:]][ind]*0.5
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topoCC[i] = ZC[i,:][~AIRIND[i,:]].max()
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XY = Utils.ndgrid(mesh.vectorCCx, mesh.vectorCCy)
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return mesh2D, topoCC
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def readUBC_DC3Dobstopo(filename,mesh,topo,probType="CC"):
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"""
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Seogi's personal readObs function.
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"""
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text_file = open(filename, "r")
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lines = text_file.readlines()
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text_file.close()
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SRC = []
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DATA = []
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srcLists = []
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isrc = 0
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# airind = getActiveindfromTopo(mesh, topo)
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# mesh2D, topoCC = gettopoCC(mesh, airind)
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for line in lines:
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if "!" in line.split(): continue
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elif line == '\n': continue
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elif line == ' \n': continue
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temp = map(float, line.split())
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# Read a line for the current electrode
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if len(temp) == 5: # SRC: Only X and Y are provided (assume no topography)
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#TODO consider topography and assign the closest cell center in the earth
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if isrc == 0:
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DATA_temp = []
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else:
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DATA.append(np.asarray(DATA_temp))
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DATA_temp = []
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indM = Utils.closestPoints(mesh2D, DATA[isrc-1][:,1:3])
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indN = Utils.closestPoints(mesh2D, DATA[isrc-1][:,3:5])
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rx = DCIP.RxDipole(np.c_[DATA[isrc-1][:,1:3], topoCC[indM]], np.c_[DATA[isrc-1][:,3:5], topoCC[indN]])
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temp = np.asarray(temp)
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if [SRC[isrc-1][0], SRC[isrc-1][1]] == [SRC[isrc-1][2], SRC[isrc-1][3]]:
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indA = Utils.closestPoints(mesh2D, [SRC[isrc-1][0], SRC[isrc-1][1]])
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tx = DCIP.SrcDipole([rx], [SRC[isrc-1][0], SRC[isrc-1][1], topoCC[indA]],[mesh.vectorCCx.max(), mesh.vectorCCy.max(), topoCC[-1]])
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else:
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indA = Utils.closestPoints(mesh2D, [SRC[isrc-1][0], SRC[isrc-1][1]])
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indB = Utils.closestPoints(mesh2D, [SRC[isrc-1][2], SRC[isrc-1][3]])
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tx = DCIP.SrcDipole([rx], [SRC[isrc-1][0], SRC[isrc-1][1], topoCC[indA]],[SRC[isrc-1][2], SRC[isrc-1][3], topoCC[indB]])
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srcLists.append(tx)
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SRC.append(temp)
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isrc += 1
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elif len(temp) == 7: # SRC: X, Y and Z are provided
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SRC.append(temp)
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isrc += 1
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elif len(temp) == 6: #
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DATA_temp.append(np.r_[isrc, np.asarray(temp)])
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elif len(temp) > 7:
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DATA_temp.append(np.r_[isrc, np.asarray(temp)])
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DATA.append(np.asarray(DATA_temp))
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DATA_temp = []
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indM = Utils.closestPoints(mesh2D, DATA[isrc-1][:,1:3])
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indN = Utils.closestPoints(mesh2D, DATA[isrc-1][:,3:5])
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rx = DCIP.RxDipole(np.c_[DATA[isrc-1][:,1:3], topoCC[indM]], np.c_[DATA[isrc-1][:,3:5], topoCC[indN]])
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temp = np.asarray(temp)
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if [SRC[isrc-1][0], SRC[isrc-1][1]] == [SRC[isrc-1][2], SRC[isrc-1][3]]:
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indA = Utils.closestPoints(mesh2D, [SRC[isrc-1][0], SRC[isrc-1][1]])
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tx = DCIP.SrcDipole([rx], [SRC[isrc-1][0], SRC[isrc-1][1], topoCC[indA]],[mesh.vectorCCx.max(), mesh.vectorCCy.max(), topoCC[-1]])
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else:
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indA = Utils.closestPoints(mesh2D, [SRC[isrc-1][0], SRC[isrc-1][1]])
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indB = Utils.closestPoints(mesh2D, [SRC[isrc-1][2], SRC[isrc-1][3]])
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tx = DCIP.SrcDipole([rx], [SRC[isrc-1][0], SRC[isrc-1][1], topoCC[indA]],[SRC[isrc-1][2], SRC[isrc-1][3], topoCC[indB]])
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srcLists.append(tx)
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text_file.close()
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survey = DCIP.SurveyDC(srcLists)
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# Do we need this?
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SRC = np.asarray(SRC)
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DATA = np.vstack(DATA)
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survey.dobs = np.vstack(DATA)[:,-2]
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return {'DCsurvey':survey, 'airind':airind, 'topoCC':topoCC, 'SRC':SRC}
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def readUBC_DC2DModel(fileName):
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"""
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Read UBC GIF 2DTensor model and generate 2D Tensor model in simpeg
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Input:
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:param fileName, path to the UBC GIF 2D model file
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Output:
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:param SimPEG TensorMesh 2D object
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:return
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Created on Thu Nov 12 13:14:10 2015
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@author: dominiquef
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"""
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from SimPEG import np, mkvc
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# Open fileand skip header... assume that we know the mesh already
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obsfile = np.genfromtxt(fileName,delimiter=' \n',dtype=np.str,comments='!')
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dim = np.array(obsfile[0].split(),dtype=float)
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temp = np.array(obsfile[1].split(),dtype=float)
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if len(temp) > 1:
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model = np.zeros(dim)
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for ii in range(len(obsfile)-1):
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mm = np.array(obsfile[ii+1].split(),dtype=float)
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model[:,ii] = mm
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model = model[:,::-1]
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else:
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if len(obsfile[1:])==1:
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mm = np.array(obsfile[1:].split(),dtype=float)
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else:
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mm = np.array(obsfile[1:],dtype=float)
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# Permute the second dimension to flip the order
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model = mm.reshape(dim[1],dim[0])
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model = model[::-1,:]
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model = np.transpose(model, (1, 0))
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model = mkvc(model)
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return model
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def plot_pseudoSection(DCsurvey, axs, stype):
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"""
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Read list of 2D tx-rx location and plot a speudo-section of apparent
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resistivity.
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Assumes flat topo for now...
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Input:
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:param d2D, z0
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:switch stype -> Either 'pdp' (pole-dipole) | 'dpdp' (dipole-dipole)
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Output:
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:figure scatter plot overlayed on image
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Edited Feb 17th, 2016
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@author: dominiquef
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"""
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from SimPEG import np
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from scipy.interpolate import griddata
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import pylab as plt
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# Set depth to 0 for now
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z0 = 0.
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# Pre-allocate
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midx = []
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midz = []
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rho = []
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count = 0 # Counter for data
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for ii in range(DCsurvey.nSrc):
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Tx = DCsurvey.srcList[ii].loc
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Rx = DCsurvey.srcList[ii].rxList[0].locs
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nD = DCsurvey.srcList[ii].rxList[0].nD
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data = DCsurvey.dobs[count:count+nD]
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count += nD
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# Get distances between each poles A-B-M-N
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MA = np.abs(Tx[0][0] - Rx[0][:,0])
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MB = np.abs(Tx[1][0] - Rx[0][:,0])
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NB = np.abs(Tx[1][0] - Rx[1][:,0])
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NA = np.abs(Tx[0][0] - Rx[1][:,0])
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MN = np.abs(Rx[1][:,0] - Rx[0][:,0])
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# Create mid-point location
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Cmid = (Tx[0][0] + Tx[1][0])/2
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Pmid = (Rx[0][:,0] + Rx[1][:,0])/2
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# Compute pant leg of apparent rho
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if stype == 'pdp':
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leg = data * 2*np.pi * MA * ( MA + MN ) / MN
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leg = np.log10(abs(1/leg))
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elif stype == 'dpdp':
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leg = data * 2*np.pi / ( 1/MA - 1/MB - 1/NB + 1/NA )
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midx = np.hstack([midx, ( Cmid + Pmid )/2 ])
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midz = np.hstack([midz, -np.abs(Cmid-Pmid)/2 + z0 ])
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rho = np.hstack([rho,leg])
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ax = axs
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# Grid points
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grid_x, grid_z = np.mgrid[np.min(midx):np.max(midx), np.min(midz):np.max(midz)]
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grid_rho = griddata(np.c_[midx,midz], rho.T, (grid_x, grid_z), method='linear')
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plt.imshow(grid_rho.T, extent = (np.min(midx),np.max(midx),np.min(midz),np.max(midz)), origin='lower', alpha=0.8, vmin = np.min(rho), vmax = np.max(rho))
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cbar = plt.colorbar(format = '%.2f',fraction=0.04,orientation="horizontal")
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cmin,cmax = cbar.get_clim()
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ticks = np.linspace(cmin,cmax,3)
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cbar.set_ticks(ticks)
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# Plot apparent resistivity
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plt.scatter(midx,midz,s=50,c=rho.T)
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ax.set_xticklabels([])
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ax.set_ylabel('Z')
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ax.yaxis.tick_right()
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ax.yaxis.set_label_position('right')
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plt.gca().set_aspect('equal', adjustable='box')
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return ax
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def gen_DCIPsurvey(endl, mesh, stype, a, b, n):
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"""
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Load in endpoints and survey specifications to generate Tx, Rx location
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stations.
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Assumes flat topo for now...
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Input:
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:param endl -> input endpoints [x1, y1, z1, x2, y2, z2]
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:object mesh -> SimPEG mesh object
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:switch stype -> "dpdp" (dipole-dipole) | "pdp" (pole-dipole) | 'gradient'
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: param a, n -> pole seperation, number of rx dipoles per tx
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Output:
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:param Tx, Rx -> List objects for each tx location
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Lines: P1x, P1y, P1z, P2x, P2y, P2z
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Created on Wed December 9th, 2015
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@author: dominiquef
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!! Require clean up to deal with DCsurvey
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"""
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from SimPEG import np
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def xy_2_r(x1,x2,y1,y2):
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r = np.sqrt( np.sum((x2 - x1)**2 + (y2 - y1)**2) )
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return r
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## Evenly distribute electrodes and put on surface
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# Mesure survey length and direction
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dl_len = xy_2_r(endl[0,0],endl[1,0],endl[0,1],endl[1,1])
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dl_x = ( endl[1,0] - endl[0,0] ) / dl_len
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dl_y = ( endl[1,1] - endl[0,1] ) / dl_len
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nstn = np.floor( dl_len / a )
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# Compute discrete pole location along line
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stn_x = endl[0,0] + np.array(range(int(nstn)))*dl_x*a
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stn_y = endl[0,1] + np.array(range(int(nstn)))*dl_y*a
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# Create line of P1 locations
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M = np.c_[stn_x, stn_y, np.ones(nstn).T*mesh.vectorNz[-1]]
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# Create line of P2 locations
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N = np.c_[stn_x+a*dl_x, stn_y+a*dl_y, np.ones(nstn).T*mesh.vectorNz[-1]]
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## Build list of Tx-Rx locations depending on survey type
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# Dipole-dipole: Moving tx with [a] spacing -> [AB a MN1 a MN2 ... a MNn]
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# Pole-dipole: Moving pole on one end -> [A a MN1 a MN2 ... MNn a B]
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Tx = []
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Rx = []
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SrcList = []
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if stype != 'gradient':
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for ii in range(0, int(nstn)-1):
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if stype == 'dpdp':
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tx = np.c_[M[ii,:],N[ii,:]]
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elif stype == 'pdp':
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tx = np.c_[M[ii,:],M[ii,:]]
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# Rx.append(np.c_[M[ii+1:indx,:],N[ii+1:indx,:]])
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# Current elctrode seperation
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AB = xy_2_r(tx[0,1],endl[1,0],tx[1,1],endl[1,1])
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# Number of receivers to fit
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nstn = np.min([np.floor( (AB - b) / a ) , n])
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# Check if there is enough space, else break the loop
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if nstn <= 0:
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continue
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# Compute discrete pole location along line
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stn_x = N[ii,0] + dl_x*b + np.array(range(int(nstn)))*dl_x*a
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stn_y = N[ii,1] + dl_y*b + np.array(range(int(nstn)))*dl_y*a
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# Create receiver poles
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# Create line of P1 locations
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P1 = np.c_[stn_x, stn_y, np.ones(nstn).T*mesh.vectorNz[-1]]
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# Create line of P2 locations
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P2 = np.c_[stn_x+a*dl_x, stn_y+a*dl_y, np.ones(nstn).T*mesh.vectorNz[-1]]
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Rx.append(np.c_[P1,P2])
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rxClass = DC.RxDipole(P1, P2)
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Tx.append(tx)
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if stype == 'dpdp':
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srcClass = DC.SrcDipole([rxClass], M[ii,:],N[ii,:])
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elif stype == 'pdp':
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srcClass = DC.SrcDipole([rxClass], M[ii,:],M[ii,:])
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SrcList.append(srcClass)
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#==============================================================================
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# elif re.match(stype,'dpdp'):
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#
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# for ii in range(0, int(nstn)-2):
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#
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# indx = np.min([ii+n+1,nstn])
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# Tx.append(np.c_[M[ii,:],N[ii,:]])
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# Rx.append(np.c_[M[ii+2:indx,:],N[ii+2:indx,:]])
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#==============================================================================
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elif stype == 'gradient':
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# Gradient survey only requires Tx at end of line and creates a square
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# grid of receivers at in the middle at a pre-set minimum distance
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Tx.append(np.c_[M[0,:],N[-1,:]])
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# Get the edge limit of survey area
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min_x = endl[0,0] + dl_x * b
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min_y = endl[0,1] + dl_y * b
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max_x = endl[1,0] - dl_x * b
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max_y = endl[1,1] - dl_y * b
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box_l = np.sqrt( (min_x - max_x)**2 + (min_y - max_y)**2 )
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box_w = box_l/2.
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nstn = np.floor( box_l / a )
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# Compute discrete pole location along line
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stn_x = min_x + np.array(range(int(nstn)))*dl_x*a
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stn_y = min_y + np.array(range(int(nstn)))*dl_y*a
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# Define number of cross lines
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nlin = int(np.floor( box_w / a ))
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lind = range(-nlin,nlin+1)
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ngrad = nstn * len(lind)
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rx = np.zeros([ngrad,6])
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for ii in range( len(lind) ):
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# Move line in perpendicular direction by dipole spacing
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lxx = stn_x - lind[ii]*a*dl_y
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lyy = stn_y + lind[ii]*a*dl_x
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M = np.c_[ lxx, lyy , np.ones(nstn).T*mesh.vectorNz[-1]]
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N = np.c_[ lxx+a*dl_x, lyy+a*dl_y, np.ones(nstn).T*mesh.vectorNz[-1]]
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rx[(ii*nstn):((ii+1)*nstn),:] = np.c_[M,N]
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Rx.append(rx)
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rxClass = DC.RxDipole(rx[:,:3], rx[:,3:])
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srcClass = DC.SrcDipole([rxClass], M[0,:], N[-1,:])
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SrcList.append(srcClass)
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else:
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print """stype must be either 'pdp', 'dpdp' or 'gradient'. """
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survey = DC.SurveyDC(SrcList)
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return survey, Tx, Rx
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def writeUBC_DCobs(fileName, DCsurvey, dtype, stype):
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"""
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Write UBC GIF DCIP 2D or 3D observation file
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Input:
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:string fileName -> including path where the file is written out
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:DCsurvey -> DC survey class object
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:string dtype -> either '2D' | '3D'
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:string stype -> either 'SURFACE' | 'GENERAL'
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Output:
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:param UBC2D-Data file
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:return
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Last edit: February 16th, 2016
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@author: dominiquef
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"""
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from SimPEG import mkvc
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assert (dtype=='2D') | (dtype=='3D'), "Data must be either '2D' | '3D'"
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assert (stype=='SURFACE') | (stype=='GENERAL') | (stype=='SIMPLE'), "Data must be either 'SURFACE' | 'GENERAL' | 'SIMPLE'"
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fid = open(fileName,'w')
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fid.write('! ' + stype + ' FORMAT\n')
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count = 0
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for ii in range(DCsurvey.nSrc):
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tx = np.c_[DCsurvey.srcList[ii].loc]
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rx = DCsurvey.srcList[ii].rxList[0].locs
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nD = DCsurvey.srcList[ii].nD
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M = rx[0]
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N = rx[1]
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# Adapt source-receiver location for dtype and stype
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if dtype=='2D':
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if stype == 'SIMPLE':
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#fid.writelines("%e " % ii for ii in mkvc(tx[0,:]))
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A = np.repeat(tx[0,0],M.shape[0],axis=0)
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B = np.repeat(tx[0,1],M.shape[0],axis=0)
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M = M[:,0]
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N = N[:,0]
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np.savetxt(fid, np.c_[A, B, M, N , DCsurvey.dobs[count:count+nD], DCsurvey.std[count:count+nD] ], fmt='%e',delimiter=' ',newline='\n')
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else:
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if stype == 'SURFACE':
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fid.writelines("%e " % ii for ii in mkvc(tx[0,:]))
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M = M[:,0]
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N = N[:,0]
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if stype == 'GENERAL':
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fid.writelines("%e " % ii for ii in mkvc(tx[::2,:]))
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M = M[:,0::2]
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N = N[:,0::2]
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fid.write('%i\n'% nD)
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np.savetxt(fid, np.c_[ M, N , DCsurvey.dobs[count:count+nD], DCsurvey.std[count:count+nD] ], fmt='%e',delimiter=' ',newline='\n')
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if dtype=='3D':
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if stype == 'SURFACE':
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fid.writelines("%e " % ii for ii in mkvc(tx[0:2,:]))
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M = M[:,0:2]
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N = N[:,0:2]
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if stype == 'GENERAL':
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fid.writelines("%e " % ii for ii in mkvc(tx))
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fid.write('%i\n'% nD)
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np.savetxt(fid, np.c_[ M, N , DCsurvey.dobs[count:count+nD], DCsurvey.std[count:count+nD] ], fmt='%e',delimiter=' ',newline='\n')
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count += nD
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fid.close()
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def convertObs_DC3D_to_2D(DCsurvey,lineID):
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"""
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Read DC survey and data and change
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coordinate system to distance along line assuming
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all data is acquired along line.
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First transmitter pole is assumed to be at the origin
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Assumes flat topo for now...
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Input:
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:param Tx, Rx
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Output:
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:figure Tx2d, Rx2d
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Edited Feb 17th, 2016
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@author: dominiquef
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"""
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from SimPEG import np
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def stn_id(v0,v1,r):
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"""
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Compute station ID along line
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"""
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dl = int(v0.dot(v1)) * r
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return dl
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srcLists = []
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srcMat = getSrc_locs(DCsurvey)
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# Find all unique line id
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uniqueID = np.unique(lineID)
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for jj in range(len(uniqueID)):
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indx = np.where(lineID==uniqueID[jj])[0]
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# Find origin of survey
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r = 1e+8 # Initialize to some large number
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Tx = srcMat[indx]
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x0 = Tx[0][0,0:2] # Define station zero along line
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vecTx, r1 = r_unit(x0,Tx[-1][1,0:2])
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for ii in range(len(indx)):
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# Get all receivers
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Rx = DCsurvey.srcList[indx[ii]].rxList[0].locs
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nrx = Rx[0].shape[0]
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# Find A electrode along line
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vec, r = r_unit(x0,Tx[ii][0,0:2])
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A = stn_id(vecTx,vec,r)
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# Find B electrode along line
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vec, r = r_unit(x0,Tx[ii][1,0:2])
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B = stn_id(vecTx,vec,r)
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M = np.zeros(nrx)
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N = np.zeros(nrx)
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for kk in range(nrx):
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# Find all M electrodes along line
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vec, r = r_unit(x0,Rx[0][kk,0:2])
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M[kk] = stn_id(vecTx,vec,r)
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# Find all N electrodes along line
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vec, r = r_unit(x0,Rx[1][kk,0:2])
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N[kk] = stn_id(vecTx,vec,r)
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Rx = DC.RxDipole(np.c_[M,np.zeros(nrx),Rx[0][:,2]],np.c_[N,np.zeros(nrx),Rx[1][:,2]])
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srcLists.append( DC.SrcDipole( [Rx], np.asarray([A,0,Tx[ii][0,2]]),np.asarray([B,0,Tx[ii][1,2]]) ) )
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DCsurvey2D = DC.SurveyDC(srcLists)
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DCsurvey2D.dobs = np.asarray(DCsurvey.dobs)
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DCsurvey2D.std = np.asarray(DCsurvey.std)
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return DCsurvey2D
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def readUBC_DC3Dobs(fileName):
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"""
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Read UBC GIF DCIP 3D observation file and generate arrays for tx-rx location
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Input:
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:param fileName, path to the UBC GIF 3D obs file
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Output:
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:param rx, tx, d, wd
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:return
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Created on Mon December 7th, 2015
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@author: dominiquef
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"""
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# Load file
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obsfile = np.genfromtxt(fileName,delimiter=' \n',dtype=np.str,comments='!')
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# Pre-allocate
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srcLists = []
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Rx = []
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d = []
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wd = []
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zflag = True # Flag for z value provided
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# Countdown for number of obs/tx
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count = 0
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for ii in range(obsfile.shape[0]):
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if not obsfile[ii]:
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continue
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# First line is transmitter with number of receivers
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if count==0:
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temp = (np.fromstring(obsfile[ii], dtype=float,sep=' ').T)
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count = int(temp[-1])
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# Check if z value is provided, if False -> nan
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if len(temp)==5:
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tx = np.r_[temp[0:2],np.nan,temp[0:2],np.nan]
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zflag = False
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else:
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tx = temp[:-1]
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rx = []
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continue
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temp = np.fromstring(obsfile[ii], dtype=float,sep=' ')
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if zflag:
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rx.append(temp[:-2])
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# Check if there is data with the location
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if len(temp)==8:
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d.append(temp[-2])
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wd.append(temp[-1])
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else:
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rx.append(np.r_[temp[0:2],np.nan,temp[0:2],np.nan] )
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# Check if there is data with the location
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if len(temp)==6:
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d.append(temp[-2])
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wd.append(temp[-1])
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count = count -1
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# Reach the end of transmitter block
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if count == 0:
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rx = np.asarray(rx)
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Rx = DC.RxDipole(rx[:,:3],rx[:,3:])
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srcLists.append( DC.SrcDipole( [Rx], tx[:3],tx[3:]) )
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# Create survey class
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survey = DC.SurveyDC(srcLists)
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survey.dobs = np.asarray(d)
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survey.std = np.asarray(wd)
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return {'DCsurvey':survey}
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def readUBC_DC2Dobs(fileName):
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"""
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Read UBC GIF 2D observation file and generate arrays for tx-rx location
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Input:
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:param fileName, path to the UBC GIF 2D model file
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Output:
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:param rx, tx
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:return
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Created on Thu Nov 12 13:14:10 2015
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@author: dominiquef
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"""
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from SimPEG import np
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# Load file
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obsfile = np.genfromtxt(fileName,delimiter=' \n',dtype=np.str,comments='!')
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# Check first line and figure out if 2D or 3D file format
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line = np.array(obsfile[0].split(),dtype=float)
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tx_A = []
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tx_B = []
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rx_M = []
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rx_N = []
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d = []
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wd = []
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for ii in range(obsfile.shape[0]):
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# If len==3, then simple format where tx-rx is listed on each line
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if len(line) == 4:
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temp = np.fromstring(obsfile[ii], dtype=float,sep=' ')
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tx_A = np.hstack((tx_A,temp[0]))
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tx_B = np.hstack((tx_B,temp[1]))
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rx_M = np.hstack((rx_M,temp[2]))
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rx_N = np.hstack((rx_N,temp[3]))
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rx = np.transpose(np.array((rx_M,rx_N)))
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tx = np.transpose(np.array((tx_A,tx_B)))
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return tx, rx, d, wd
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def readUBC_DC2DMesh(fileName):
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"""
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|
Read UBC GIF 2DTensor mesh and generate 2D Tensor mesh in simpeg
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Input:
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:param fileName, path to the UBC GIF mesh file
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Output:
|
|
:param SimPEG TensorMesh 2D object
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:return
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Created on Thu Nov 12 13:14:10 2015
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@author: dominiquef
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"""
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from SimPEG import np
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# Open file
|
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fopen = open(fileName,'r')
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|
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# Read down the file and unpack dx vector
|
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def unpackdx(fid,nrows):
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for ii in range(nrows):
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line = fid.readline()
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var = np.array(line.split(),dtype=float)
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if ii==0:
|
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x0= var[0]
|
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xvec = np.ones(int(var[2])) * (var[1] - var[0]) / int(var[2])
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xend = var[1]
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else:
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xvec = np.hstack((xvec,np.ones(int(var[1])) * (var[0] - xend) / int(var[1])))
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xend = var[0]
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return x0, xvec
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|
|
#%% Start with dx block
|
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# First line specifies the number of rows for x-cells
|
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line = fopen.readline()
|
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nl = np.array(line.split(),dtype=float)
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|
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[x0, dx] = unpackdx(fopen,nl)
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|
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|
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#%% Move down the file until reaching the z-block
|
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line = fopen.readline()
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if not line:
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line = fopen.readline()
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|
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#%% End with dz block
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# First line specifies the number of rows for z-cells
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line = fopen.readline()
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nl = np.array(line.split(),dtype=float)
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[z0, dz] = unpackdx(fopen,nl)
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|
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# Flip z0 to be the bottom of the mesh for SimPEG
|
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z0 = z0 - sum(dz)
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dz = dz[::-1]
|
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#%% Make the mesh using SimPEG
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from SimPEG import Mesh
|
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tensMsh = Mesh.TensorMesh([dx,dz],(x0, z0))
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return tensMsh
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|
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def xy_2_lineID(DCsurvey):
|
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"""
|
|
Read DC survey class and append line ID.
|
|
Assumes that the locations are listed in the order
|
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they were collected. May need to generalize for random
|
|
point locations, but will be more expensive
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|
|
Input:
|
|
:param DCdict Vectors of station location
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|
|
Output:
|
|
:param LineID Vector of integers
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:return
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|
|
Created on Thu Feb 11, 2015
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|
|
@author: dominiquef
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"""
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|
|
# Compute unit vector between two points
|
|
nstn = DCsurvey.nSrc
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|
|
# Pre-allocate space
|
|
lineID = np.zeros(nstn)
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|
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linenum = 0
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indx = 0
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for ii in range(nstn):
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|
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if ii == 0:
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|
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A = DCsurvey.srcList[ii].loc[0]
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B = DCsurvey.srcList[ii].loc[1]
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|
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xout = np.mean([A[0:2],B[0:2]], axis = 0)
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|
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xy0 = A[:2]
|
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xym = xout
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|
|
# Deal with replicate pole location
|
|
if np.all(xy0==xym):
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|
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xym[0] = xym[0] + 1e-3
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continue
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A = DCsurvey.srcList[ii].loc[0]
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B = DCsurvey.srcList[ii].loc[1]
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xin = np.mean([A[0:2],B[0:2]], axis = 0)
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|
|
# Compute vector between neighbours
|
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vec1, r1 = r_unit(xout,xin)
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|
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# Compute vector between current stn and mid-point
|
|
vec2, r2 = r_unit(xym,xin)
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|
|
# Compute vector between current stn and start line
|
|
vec3, r3 = r_unit(xy0,xin)
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|
|
# Compute vector between mid-point and start line
|
|
vec4, r4 = r_unit(xym,xy0)
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|
|
# Compute dot product
|
|
ang1 = np.abs(vec1.dot(vec2))
|
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ang2 = np.abs(vec3.dot(vec4))
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|
|
# If the angles are smaller then 45d, than next point is on a new line
|
|
if ((ang1 < np.cos(np.pi/4.)) | (ang2 < np.cos(np.pi/4.))) & (np.all(np.r_[r1,r2,r3,r4] > 0)):
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|
|
# Re-initiate start and mid-point location
|
|
xy0 = A[:2]
|
|
xym = xin
|
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|
|
# Deal with replicate pole location
|
|
if np.all(xy0==xym):
|
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|
|
xym[0] = xym[0] + 1e-3
|
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|
|
linenum += 1
|
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indx = ii
|
|
|
|
else:
|
|
xym = np.mean([xy0,xin], axis = 0)
|
|
|
|
lineID[ii] = linenum
|
|
xout = xin
|
|
|
|
return lineID
|
|
|
|
def r_unit(p1,p2):
|
|
"""
|
|
r_unit(x,y) : Function computes the unit vector
|
|
between two points with coordinates p1(x1,y1) and p2(x2,y2)
|
|
|
|
"""
|
|
|
|
assert len(p1)==len(p2), 'locs must be the same shape.'
|
|
|
|
dx = []
|
|
for ii in range(len(p1)):
|
|
dx.append((p2[ii] - p1[ii]))
|
|
|
|
# Compute length of vector
|
|
r = np.linalg.norm(np.asarray(dx))
|
|
|
|
|
|
if r!=0:
|
|
vec = dx/r
|
|
|
|
else:
|
|
vec = np.zeros(len(p1))
|
|
|
|
return vec, r
|
|
|
|
def getSrc_locs(DCsurvey):
|
|
"""
|
|
|
|
|
|
"""
|
|
|
|
srcMat = np.zeros((DCsurvey.nSrc,2,3))
|
|
for ii in range(DCsurvey.nSrc):
|
|
print np.asarray(DCsurvey.srcList[ii].loc).shape
|
|
srcMat[ii,:,:] = np.asarray(DCsurvey.srcList[ii].loc)
|
|
|
|
return srcMat
|