Esempio n. 1
0
def readUBC_DC2DLoc(fileName):

    from SimPEG import np
    """
        Read UBC GIF 2D observation file and generate arrays for tx-rx location

        Input:
        :param fileName, path to the UBC GIF 2D model file

        Output:
        :param rx, tx
        :return
        
        Created on Thu Nov 12 13:14:10 2015

        @author: dominiquef

    """
    
    # Open fileand skip header... assume that we know the mesh already
#==============================================================================
#     fopen = open(fileName,'r')
#     lines = fopen.readlines()
#     fopen.close()
#==============================================================================

    # Load file
    obsfile = np.genfromtxt(fileName,delimiter=' \n',dtype=np.str,comments='!')
    
    # Check first line and figure out if 2D or 3D file format
    line = np.array(obsfile[0].split(),dtype=float)   
    
    tx_A  = []
    tx_B  = []
    rx_M  = []
    rx_N  = []
    d   = []
    wd  = []
    
    for ii in range(obsfile.shape[0]):
        
        # If len==3, then simple format where tx-rx is listed on each line
        if len(line) == 4:
        
            temp = np.fromstring(obsfile[ii], dtype=float,sep=' ')
            tx_A = np.hstack((tx_A,temp[0]))
            tx_B = np.hstack((tx_B,temp[1]))
            rx_M = np.hstack((rx_M,temp[2]))
            rx_N = np.hstack((rx_N,temp[3]))
            
        
    rx = np.transpose(np.array((rx_M,rx_N)))    
    tx = np.transpose(np.array((tx_A,tx_B)))
    
    return tx, rx, d, wd
Esempio n. 2
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def readUBC_DC2Dobs(fileName):
    """
        ------- NEEDS TO BE UPDATED ------
        Read UBC GIF 2D observation file and generate arrays for tx-rx location

        Input:
        :param fileName, path to the UBC GIF 2D model file

        Output:
        :param rx, tx
        :return

        Created on Thu Nov 12 13:14:10 2015

        @author: dominiquef

    """

    from SimPEG import np

    # Load file
    obsfile = np.genfromtxt(fileName,delimiter=' \n',dtype=np.str,comments='!')

    # Check first line and figure out if 2D or 3D file format
    line = np.array(obsfile[0].split(),dtype=float)

    tx_A  = []
    tx_B  = []
    rx_M  = []
    rx_N  = []
    d   = []
    wd  = []

    for ii in range(obsfile.shape[0]):

        # If len==3, then simple format where tx-rx is listed on each line
        if len(line) == 4:

            temp = np.fromstring(obsfile[ii], dtype=float,sep=' ')
            tx_A = np.hstack((tx_A,temp[0]))
            tx_B = np.hstack((tx_B,temp[1]))
            rx_M = np.hstack((rx_M,temp[2]))
            rx_N = np.hstack((rx_N,temp[3]))


    rx = np.transpose(np.array((rx_M,rx_N)))
    tx = np.transpose(np.array((tx_A,tx_B)))

    return tx, rx, d, wd
Esempio n. 3
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def readUBC_DC3Dobs(fileName):
    
    from SimPEG import np
    """
        Read UBC GIF DCIP 3D observation file and generate arrays for tx-rx location
    
        Input:
        :param fileName, path to the UBC GIF 3D obs file
    
        Output:
        :param rx, tx, d, wd
        :return
        
        Created on Mon December 7th, 2015
    
        @author: dominiquef
    
    """
       
    # Load file
    obsfile = np.genfromtxt(fileName,delimiter=' \n',dtype=np.str,comments='!')
    
    # Pre-allocate
    Tx = []
    Rx = []
    d = []
    wd = []
    
    # Countdown for number of obs/tx
    count = 0
    for ii in range(obsfile.shape[0]):
        
        if not obsfile[ii]:
            continue
        
        # First line is transmitter with number of receivers
        if count==0:
    
            temp = (np.fromstring(obsfile[ii], dtype=float,sep=' ').T)
            count = int(temp[-1])
            temp = np.reshape(temp[0:-1],[2,3]).T
            
            Tx.append(temp)
            rx = []
            continue
        
        temp = np.fromstring(obsfile[ii], dtype=float,sep=' ')
        
            
        rx.append(temp)          
        
        count = count -1        
        
        # Reach the end of  
        if count == 0:
            temp = np.asarray(rx)
            Rx.append(temp[:,0:6])
            
            # Check for data + uncertainties
            if temp.shape[1]==8:
                d.append(temp[:,6])
                wd.append(temp[:,7])
                
            # Check for data only    
            elif temp.shape[1]==7:
                d.append(temp[:,6])
            
    return Tx, Rx, d, wd
Esempio n. 4
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def readUBC_DC3Dobs(fileName):
    """
        Read UBC GIF DCIP 3D observation file and generate arrays for tx-rx location

        Input:
        :param fileName, path to the UBC GIF 3D obs file

        Output:
        :param rx, tx, d, wd
        :return

        Created on Mon December 7th, 2015

        @author: dominiquef

    """

    # Load file
    obsfile = np.genfromtxt(fileName,delimiter=' \n',dtype=np.str,comments='!')

    # Pre-allocate
    srcLists = []
    Rx = []
    d = []
    wd = []
    zflag = True # Flag for z value provided

    # Countdown for number of obs/tx
    count = 0
    for ii in range(obsfile.shape[0]):

        if not obsfile[ii]:
            continue

        # First line is transmitter with number of receivers
        if count==0:

            temp = (np.fromstring(obsfile[ii], dtype=float,sep=' ').T)
            count = int(temp[-1])

            # Check if z value is provided, if False -> nan
            if len(temp)==5:
                tx = np.r_[temp[0:2],np.nan,temp[0:2],np.nan]
                zflag = False

            else:
                tx = temp[:-1]

            rx = []
            continue

        temp = np.fromstring(obsfile[ii], dtype=float,sep=' ')

        if zflag:

            rx.append(temp[:-2])
            # Check if there is data with the location
            if len(temp)==8:
                d.append(temp[-2])
                wd.append(temp[-1])

        else:
            rx.append(np.r_[temp[0:2],np.nan,temp[0:2],np.nan] )
            # Check if there is data with the location
            if len(temp)==6:
                d.append(temp[-2])
                wd.append(temp[-1])

        count = count -1

        # Reach the end of transmitter block
        if count == 0:
            rx = np.asarray(rx)
            Rx = DC.RxDipole(rx[:,:3],rx[:,3:])
            srcLists.append( DC.SrcDipole( [Rx], tx[:3],tx[3:]) )

    # Create survey class
    survey = DC.SurveyDC(srcLists)

    survey.dobs = np.asarray(d)
    survey.std = np.asarray(wd)

    return {'DCsurvey':survey}
Esempio n. 5
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def readUBC_DC2Dpre(fileName):
    """
        Read UBC GIF DCIP 2D observation file and generate arrays for tx-rx location

        Input:
        :param fileName, path to the UBC GIF 3D obs file

        Output:
        DCsurvey
        :return

        Created on Mon March 9th, 2016 << Doug's 70th Birthday !! >>

        @author: dominiquef

    """

    # Load file
    obsfile = np.genfromtxt(fileName,delimiter=' \n',dtype=np.str,comments='!')

    # Pre-allocate
    srcLists = []
    Rx = []
    d = []
    zflag = True # Flag for z value provided

    for ii in range(obsfile.shape[0]):

        if not obsfile[ii]:
            continue

        # First line is transmitter with number of receivers


        temp = (np.fromstring(obsfile[ii], dtype=float,sep=' ').T)


        # Check if z value is provided, if False -> nan
        if len(temp)==5:
            tx = np.r_[temp[0],np.nan,np.nan,temp[1],np.nan,np.nan]
            zflag = False

        else:
            tx = np.r_[temp[0],np.nan,temp[1],temp[2],np.nan,temp[3]]


        if zflag:
            rx = np.c_[temp[4],np.nan,temp[5],temp[6],np.nan,temp[7]]


        else:
            rx = np.c_[temp[2],np.nan,np.nan,temp[3],np.nan,np.nan]
            # Check if there is data with the location

        d.append(temp[-1])


        Rx = DC.RxDipole(rx[:,:3],rx[:,3:])
        srcLists.append( DC.SrcDipole( [Rx], tx[:3],tx[3:]) )

    # Create survey class
    survey = DC.SurveyDC(srcLists)

    survey.dobs = np.asarray(d)

    return {'DCsurvey':survey}
Esempio n. 6
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def readUBC_DC3Dobs(fileName, rtype = 'DC'):
    """
        Read UBC GIF IP 3D observation file and generate survey

        :param string fileName:, path to the UBC GIF 3D obs file
        :rtype: Survey
        :return: DCIPsurvey

    """
    zflag = True # Flag for z value provided

    # Load file
    if rtype == 'IP':
        obsfile = np.genfromtxt(fileName,delimiter=' \n',dtype=np.str,comments='IPTYPE')

    elif rtype == 'DC':
        obsfile = np.genfromtxt(fileName,delimiter=' \n',dtype=np.str,comments='!')

    else:
        print "rtype must be 'DC'(default) | 'IP'"

    # Pre-allocate
    srcLists = []
    Rx = []
    d = []
    wd = []


    # Countdown for number of obs/tx
    count = 0
    for ii in range(obsfile.shape[0]):

        # Skip if blank line
        if not obsfile[ii]:
            continue

        # First line or end of a transmitter block, read transmitter info
        if count==0:
            # Read the line
            temp = (np.fromstring(obsfile[ii], dtype=float, sep=' ').T)
            count = int(temp[-1])

            # Check if z value is provided, if False -> nan
            if len(temp)==5:
                tx = np.r_[temp[0:2],np.nan,temp[2:4],np.nan]

                zflag = False # Pass on the flag to the receiver loc

            else:
                tx = temp[:-1]

            rx = []
            continue

        temp = np.fromstring(obsfile[ii], dtype=float,sep=' ') # Get the string

        # Filter out negative IP
#        if temp[-2] < 0:
#            count = count -1
#            print "Negative!"
#
#        else:

        # If the Z-location is provided, otherwise put nan
        if zflag:

            rx.append(temp[:-2])
            # Check if there is data with the location
            if len(temp)==8:
                d.append(temp[-2])
                wd.append(temp[-1])

        else:
            rx.append(np.r_[temp[0:2],np.nan,temp[2:4],np.nan] )
            # Check if there is data with the location
            if len(temp)==6:
                d.append(temp[-2])
                wd.append(temp[-1])

        count = count -1

        # Reach the end of transmitter block, append the src, rx and continue
        if count == 0:
            rx = np.asarray(rx)
            Rx = DC.RxDipole(rx[:,:3],rx[:,3:])
            srcLists.append( DC.SrcDipole( [Rx], tx[:3],tx[3:]) )

    # Create survey class
    survey = DC.SurveyDC(srcLists)

    survey.dobs = np.asarray(d)
    survey.std = np.asarray(wd)

    return {'DCsurvey':survey}