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Marcel Paffrath 2015-10-20 10:52:05 +02:00
parent 2dd36379a8
commit 21ffbcabc8
2 changed files with 0 additions and 773 deletions
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107
pylot/core/active/picking_script.py
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# -*- coding: utf-8 -*-
import sys
from obspy import read
from obspy import Stream
from obspy import Trace
from datetime import datetime
import numpy as np
from pylot.core.active import surveyUtils
from pylot.core.active import seismicshot
import activeSeismoPick
reload(seismicshot)
reload(surveyUtils)
#####################################################################################
# parameter definitions:#############################################################
#traceslist = list(np.arange(1, 49, 1)) # traces (1-48)
#shotlist = list(np.arange(302, 352, 1)) # shot-files(.dat) (Paffrath: 302-352) (Hauburg: 353-401) (arange+1!)
cutwindow = (0, 0.2) # cut out a part of the trace [seconds]
tmovwind = 0.3 # size of the moving window
windowsize = (5, 0) # windowsize for AIC picker (indices around HOS picks!!)
pickwindow = cutwindow # for local max and threshold picker: fraction of the seismogram used (0...1) TO BE DONE: depends on cutwindow!!!!
folm = 0.6
rockeskyll = False
if rockeskyll == True:
receiverfile = "Geophone_interpoliert_rockes"
sourcefile = "Schusspunkte_rockes"
obsdir = "/rscratch/minos22/marcel/flachseismik/rockeskyll_200615_270615/"
filename = 'survey_rockes.pickle'
else:
receiverfile = "Geophone_interpoliert_GZB"
sourcefile = "Schusspunkte_GZB"
obsdir = "/rscratch/minos22/marcel/flachseismik/GZB_26_06_15_01/"
filename = 'survey_GZB.pickle'
# SNR
tsignal = 0.03
tgap = 0.0007
snrthreshold = 1
######################################################################################
vmin = 333
vmax = 5500
distBinSize = 2
###########################################
############# Settings: ###################
thresholdpick=True
localmaxpick=False
if thresholdpick == True: pickmethod = "threshold"
if localmaxpick == True: pickmethod = "localmax"
HosAic = 'hos' # can be 'hos' or 'aic'
###########################################
starttime = datetime.now()
print '\n--------------------Starting Script at %s -------------------\n' %starttime.time()
if thresholdpick == True: print 'Using treshold pickmethod!\n'
elif localmaxpick == True: print 'Using local maximum pick method!\n'
if HosAic == 'aic': print 'picking with AIC\n'
if HosAic == 'hos': print 'picking with HOS\n'
survey = activeSeismoPick.Survey(obsdir, sourcefile, receiverfile, True)
surveyUtils.setFittedSNR(survey.getShotDict())
print '\nDone after %s seconds!\n------------------------------------------------------------------------------\n' % (datetime.now() - starttime).seconds
count = 0; tpicksum = starttime - starttime
for shot in survey.data.values():
tstartpick = datetime.now(); count += 1
for traceID in shot.getTraceIDlist():
distance = shot.getDistance(traceID) # receive distance
pickwin_used = pickwindow # use pickwindow set in the parameter section
# for higher distances use a linear vmin/vmax to cut out late/early regions with high noise
if distance > 5.:
pwleft = distance/vmax ################## TEST
pwright = distance/vmin
if pwright > cutwindow[1]:
pwright = cutwindow[1]
pickwin_used = (pwleft, pwright)
shot.setPickwindow(traceID, pickwin_used)
shot.pickTraces(traceID, windowsize, folm, HosAic) # picker
#shot.setManualPicks(traceID, picklist) # set manual picks if given (yet used on 2D only)
# ++ TEST: set and check SNR before adding to distance bin ############################
shot.setSNR(traceID)
#if shot.getSNR(traceID)[0] < snrthreshold:
if shot.getSNR(traceID)[0] < shot.getSNRthreshold(traceID):
shot.removePick(traceID)
# -- TEST: set and check SNR before adding to distance bin ############################
if shot.getPick(traceID) is not None:
shot.setEarllatepick(traceID)
tpicksum += (datetime.now() - tstartpick); tpick = tpicksum/count
tremain = (tpick * (len(survey.getShotDict()) - count))
tend = datetime.now() + tremain
print 'shot: %s, est. time to be finished is %s:%s:%s' % (shot.getShotname(), tend.hour, tend.minute, tend.second)
survey.saveSurvey(filename)
print '\n--- Finished script ---'
print 'Elapsed time:', datetime.now()-starttime

666
pylot/core/active/seismicArrayPreperation.py
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# -*- coding: utf-8 -*-
import sys
import numpy as np
from scipy.interpolate import griddata
class SeisArray(object):
'''
Can be used to interpolate missing values of a receiver grid, if only support points were measured.
Input file should contain in each line: ('traceID' 'receiverLineID' 'number of the geophone on recLine' 'X' 'Y' 'Z')
Can be used to generate a velocity grid file (vgrids.in) for FMTOMO with a topography adapting gradient.
Can be used to generate an interface file for FMTOMO (right now only interface.z used by grid3dg) for the topography.
Supports vtk output for sources and receivers.
Note: Source and Receiver files for FMTOMO will be generated by the Survey object (because traveltimes will be added directly).
'''
def __init__(self, recfile):
self._receiverlines = {}
self._receiverCoords = {}
self._measuredReceivers = {}
self._measuredTopo = {}
self._sourceLocs = {}
self._geophoneNumbers = {}
self._receiverlist = open(recfile, 'r').readlines()
self._generateReceiverlines()
self._setReceiverCoords()
self._setGeophoneNumbers()
def _generateReceiverlines(self):
'''
Connects the traceIDs to the lineIDs
for each receiverline in a dictionary.
'''
for receiver in self._receiverlist:
traceID = int(receiver.split()[0])
lineID = int(receiver.split()[1])
if not lineID in self._receiverlines.keys():
self._receiverlines[lineID] = []
self._receiverlines[lineID].append(traceID)
def _setReceiverCoords(self):
'''
Fills the three x, y, z dictionaries with measured coordinates
'''
for line in self._getReceiverlist():
traceID = int(line.split()[0])
x = float(line.split()[3])
y = float(line.split()[4])
z = float(line.split()[5])
self._receiverCoords[traceID] = (x, y, z)
self._measuredReceivers[traceID] = (x, y, z)
def _setGeophoneNumbers(self):
for line in self._getReceiverlist():
traceID = int(line.split()[0])
gphoneNum = float(line.split()[2])
self._geophoneNumbers[traceID] = gphoneNum
def _getReceiverlines(self):
return self._receiverlines
def _getReceiverlist(self):
return self._receiverlist
def getReceiverCoordinates(self):
return self._receiverCoords
def _getXreceiver(self, traceID):
return self._receiverCoords[traceID][0]
def _getYreceiver(self, traceID):
return self._receiverCoords[traceID][1]
def _getZreceiver(self, traceID):
return self._receiverCoords[traceID][2]
def _getXshot(self, shotnumber):
return self._sourceLocs[shotnumber][0]
def _getYshot(self, shotnumber):
return self._sourceLocs[shotnumber][1]
def _getZshot(self, shotnumber):
return self._sourceLocs[shotnumber][2]
def _getReceiverValue(self, traceID, coordinate):
setCoordinate = {'X': self._getXreceiver,
'Y': self._getYreceiver,
'Z': self._getZreceiver}
return setCoordinate[coordinate](traceID)
def _getGeophoneNumber(self, traceID):
return self._geophoneNumbers[traceID]
def getMeasuredReceivers(self):
return self._measuredReceivers
def getMeasuredTopo(self):
return self._measuredTopo
def getSourceLocations(self):
return self._sourceLocs
def _setXvalue(self, traceID, value):
self._checkKey(traceID)
self._receiverCoords[traceID][0] = value
def _setYvalue(self, traceID, value):
self._checkKey(traceID)
self._receiverCoords[traceID][1] = value
def _setZvalue(self, traceID, value):
self._checkKey(traceID)
self._receiverCoords[traceID][2] = value
def _setValue(self, traceID, coordinate, value):
setCoordinate = {'X': self._setXvalue,
'Y': self._setYvalue,
'Z': self._setZvalue}
setCoordinate[coordinate](traceID, value)
def _checkKey(self, traceID):
if not traceID in self._receiverCoords.keys():
self._receiverCoords[traceID] = [None, None, None]
def _checkTraceIDdirection(self, traceID1, traceID2):
if traceID2 > traceID1:
direction = +1
return direction
if traceID2 < traceID1:
direction = -1
return direction
print "Error: Same Value for traceID1 = %s and traceID2 = %s" %(traceID1, traceID2)
def _checkCoordDirection(self, traceID1, traceID2, coordinate):
'''
Checks whether the interpolation direction is positive or negative
'''
if self._getReceiverValue(traceID1, coordinate) < self._getReceiverValue(traceID2, coordinate):
direction = +1
return direction
if self._getReceiverValue(traceID1, coordinate) > self._getReceiverValue(traceID2, coordinate):
direction = -1
return direction
print "Error: Same Value for traceID1 = %s and traceID2 = %s" %(traceID1, traceID2)
def _interpolateMeanDistances(self, traceID1, traceID2, coordinate):
'''
Returns the mean distance between two traceID's depending on the number of geophones in between
'''
num_spaces = abs(self._getGeophoneNumber(traceID1) - self._getGeophoneNumber(traceID2))
mean_distance = abs(self._getReceiverValue(traceID1, coordinate) - self._getReceiverValue(traceID2, coordinate))/num_spaces
return mean_distance
def interpolateValues(self, coordinate):
'''
Interpolates and sets all values (linear) for coordinate = 'X', 'Y' or 'Z'
'''
for lineID in self._getReceiverlines().keys():
number_measured = len(self._getReceiverlines()[lineID])
for index, traceID1 in enumerate(self._getReceiverlines()[lineID]):
if index + 1 < number_measured:
traceID2 = self._getReceiverlines()[lineID][index + 1]
traceID_dir = self._checkTraceIDdirection(traceID1, traceID2)
traceID_interp = traceID1 + traceID_dir
coord_dir = self._checkCoordDirection(traceID1, traceID2, coordinate)
mean_distance = self._interpolateMeanDistances(traceID1, traceID2, coordinate)
while (traceID_dir * traceID_interp) < (traceID_dir * traceID2):
self._setValue(traceID_interp, coordinate,
(self._getReceiverValue(traceID_interp - traceID_dir, coordinate)
+ coord_dir * (mean_distance)))
traceID_interp += traceID_dir
def addMeasuredTopographyPoints(self, filename):
'''
Use more measured points for a higher precision of height interpolation.
Input file should contain in each line: ('point ID' 'X' 'Y' 'Z')
'''
topolist = open(filename, 'r').readlines()
for line in topolist:
line = line.split()
pointID = int(line[0])
x = float(line[1])
y = float(line[2])
z = float(line[3])
self._measuredTopo[pointID] = (x, y, z)
def addSourceLocations(self, filename):
'''
Use source locations for a higher precision of height interpolation.
Input file should contain in each line: ('point ID' 'X' 'Y' 'Z')
Source locations must be added before they can be written to vtk files.
'''
topolist = open(filename, 'r').readlines()
for line in topolist:
line = line.split()
pointID = int(line[0])
x = float(line[1])
y = float(line[2])
z = float(line[3])
self._sourceLocs[pointID] = (x, y, z)
def interpZcoords4rec(self, method = 'linear'):
'''
Interpolates z values for all receivers.
'''
measured_x, measured_y, measured_z = self.getAllMeasuredPointsLists()
for traceID in self.getReceiverCoordinates().keys():
if type(self.getReceiverCoordinates()[traceID]) is not tuple:
z = griddata((measured_x, measured_y), measured_z, (self._getXreceiver(traceID), self._getYreceiver(traceID)), method = method)
self._setZvalue(traceID, float(z))
def _getAngle(self, distance):
'''
Function returns the angle on a Sphere of the radius R = 6371 [km] for a distance [km].
'''
PI = np.pi
R = 6371.
angle = distance * 180 / (PI * R)
return angle
def _getDistance(self, angle):
'''
Function returns the distance [km] on a Sphere of the radius R = 6371 [km] for an angle.
'''
PI = np.pi
R = 6371.
distance = angle / 180 * (PI * R)
return distance
def getMeasuredReceiverLists(self):
'''
Returns a list of all measured receivers known to SeisArray.
'''
x = []; y = []; z = []
for traceID in self.getMeasuredReceivers().keys():
x.append(self.getMeasuredReceivers()[traceID][0])
y.append(self.getMeasuredReceivers()[traceID][1])
z.append(self.getMeasuredReceivers()[traceID][2])
return x, y, z
def getMeasuredTopoLists(self):
'''
Returns a list of all measured topography points known to the SeisArray.
'''
x = []; y = []; z = []
for pointID in self.getMeasuredTopo().keys():
x.append(self.getMeasuredTopo()[pointID][0])
y.append(self.getMeasuredTopo()[pointID][1])
z.append(self.getMeasuredTopo()[pointID][2])
return x, y, z
def getSourceLocsLists(self):
'''
Returns a list of all measured source locations known to SeisArray.
'''
x = []; y = []; z = []
for pointID in self.getSourceLocations().keys():
x.append(self.getSourceLocations()[pointID][0])
y.append(self.getSourceLocations()[pointID][1])
z.append(self.getSourceLocations()[pointID][2])
return x, y, z
def getAllMeasuredPointsLists(self):
'''
Returns a list of all measured points known to SeisArray.
'''
mtopo_x, mtopo_y, mtopo_z = self.getMeasuredTopoLists()
msource_x, msource_y, msource_z = self.getSourceLocsLists()
mrec_x, mrec_y, mrec_z = self.getMeasuredReceiverLists()
x = mtopo_x + mrec_x + msource_x
y = mtopo_y + mrec_y + msource_y
z = mtopo_z + mrec_z + msource_z
return x, y, z
def getReceiverLists(self):
'''
Returns a list of all receivers (measured and interpolated).
'''
x = []; y =[]; z = []
for traceID in self.getReceiverCoordinates().keys():
x.append(self.getReceiverCoordinates()[traceID][0])
y.append(self.getReceiverCoordinates()[traceID][1])
z.append(self.getReceiverCoordinates()[traceID][2])
return x, y, z
def _interpolateXY4rec(self):
'''
Interpolates the X and Y coordinates for all receivers.
'''
for coordinate in ('X', 'Y'):
self.interpolateValues(coordinate)
def interpolateAll(self):
self._interpolateXY4rec()
self.interpZcoords4rec()
def interpolateTopography(self, nTheta, nPhi, thetaSN, phiWE, method = 'linear', filename = 'interface1.in'):
'''
Interpolate Z values on a regular grid with cushion nodes to use it as FMTOMO topography interface.
Returns a surface in form of a list of points [[x1, y1, z1], [x2, y2, y2], ...] (cartesian).
:param: nTheta, number of points in theta (NS)
type: integer
:param: nPhi, number of points in phi (WE)
type: integer
:param: thetaSN (S, N) extensions of the model in degree
type: tuple
:param: phiWE (W, E) extensions of the model in degree
type: tuple
'''
surface = []
elevation = 0.25 # elevate topography so that no source lies above the surface
if filename is not None:
outfile = open(filename, 'w')
print "Interpolating topography on regular grid with the dimensions:"
print "nTheta = %s, nPhi = %s, thetaSN = %s, phiWE = %s"%(nTheta, nPhi, thetaSN, phiWE)
print "method = %s, filename = %s" %(method, filename)
thetaS, thetaN = thetaSN
phiW, phiE = phiWE
measured_x, measured_y, measured_z = self.getAllMeasuredPointsLists()
# need to determine the delta to add two cushion nodes around the min/max values
thetaDelta = (thetaN - thetaS) / (nTheta - 1)
phiDelta = (phiE - phiW) / (nPhi - 1)
thetaGrid = np.linspace(thetaS - thetaDelta, thetaN + thetaDelta, num = nTheta + 2) # +2 cushion nodes
phiGrid = np.linspace(phiW - phiDelta, phiE + phiDelta, num = nPhi + 2) # +2 cushion nodes
nTotal = len(thetaGrid) * len(phiGrid); count = 0
for theta in thetaGrid:
for phi in phiGrid:
xval = self._getDistance(phi)
yval = self._getDistance(theta)
z = griddata((measured_x, measured_y), measured_z, (xval, yval), method = method)
# in case the point lies outside, nan will be returned. Find nearest:
if np.isnan(z) == True:
z = griddata((measured_x, measured_y), measured_z, (xval, yval), method = 'nearest')
z = float(z)
surface.append((xval, yval, z))
count += 1
progress = float(count) / float(nTotal) * 100
self._update_progress(progress)
if filename is not None:
outfile.writelines('%10s\n'%(z + elevation))
return surface
def generateVgrid(self, nTheta = 80, nPhi = 80, nR = 120,
thetaSN = (-0.2, 1.2), phiWE = (-0.2, 1.2),
Rbt = (-62.0, 6.0), vbot = 5.5, filename = 'vgrids.in',
method = 'linear' ):
'''
Generate a velocity grid for fmtomo regarding topography with a linear gradient starting at the topography with 0.34 [km/s].
:param: nTheta, number of points in theta (NS)
type: integer
:param: nPhi, number of points in phi (WE)
type: integer
:param: nR, number of points in depth
type: integer
:param: thetaSN (S, N) extensions of the model in degree
type: tuple
:param: phiWE (W, E) extensions of the model in degree
type: tuple
:param: Rbt (bot, top) extensions of the model in km
type: tuple
:param: vbot, velocity at the bottom of the model
type: real
'''
def getRad(angle):
PI = np.pi
rad = angle / 180 * PI
return rad
def getZmax(surface):
z = []
for point in surface:
z.append(point[2])
return max(z)
R = 6371
vmin = 0.34
decm = 0.3 # diagonal elements of the covariance matrix (grid3dg's default value is 0.3)
outfile = open(filename, 'w')
thetaS, thetaN = thetaSN
phiW, phiE = phiWE
rbot = Rbt[0] + R
rtop = Rbt[1] + R
# need to determine the delta to add two cushion nodes around the min/max values
thetaDelta = abs(thetaN - thetaS) / (nTheta - 1)
phiDelta = abs(phiE - phiW) / (nPhi - 1)
rDelta = abs(rbot - rtop) / (nR - 1)
# create a regular grid including +2 cushion nodes in every direction
thetaGrid = np.linspace(thetaS - thetaDelta, thetaN + thetaDelta, num = nTheta + 2) # +2 cushion nodes
phiGrid = np.linspace(phiW - phiDelta, phiE + phiDelta, num = nPhi + 2) # +2 cushion nodes
rGrid = np.linspace(rbot - rDelta, rtop + rDelta, num = nR + 2) # +2 cushion nodes
nTotal = len(rGrid) * len(thetaGrid) * len(phiGrid)
print "Total number of grid nodes: %s"%nTotal
# write header for velocity grid file (in RADIANS)
outfile.writelines('%10s %10s \n' %(1, 1))
outfile.writelines('%10s %10s %10s\n' %(nR + 2, nTheta + 2, nPhi + 2))
outfile.writelines('%10s %10s %10s\n' %(rDelta, getRad(thetaDelta), getRad(phiDelta)))
outfile.writelines('%10s %10s %10s\n' %(rbot - rDelta, getRad(thetaS - thetaDelta), getRad(phiW - phiDelta)))
surface = self.interpolateTopography(nTheta, nPhi, thetaSN, phiWE, method = method, filename = None)
zmax = getZmax(surface)
print "\nGenerating velocity grid for FMTOMO. Output filename = %s, interpolation method = %s"%(filename, method)
print "nTheta = %s, nPhi = %s, nR = %s, thetaSN = %s, phiWE = %s, Rbt = %s"%(nTheta, nPhi, nR, thetaSN, phiWE, Rbt)
count = 0
for radius in rGrid:
for theta in thetaGrid:
for phi in phiGrid:
xval = self._getDistance(phi)
yval = self._getDistance(theta)
for point in surface:
if point[0] == xval and point[1] == yval:
z = point[2]
if radius > (R + z + 1):
vel = 0.0
# elif radius > (R + z - 15): ########### TESTING
# vel = (radius - z - R) / (Rbt[0] - rDelta - zmax) * 1.0 + vmin ##########################
else:
vel = (radius - z - R) / (Rbt[0] - rDelta - zmax) * vbot + vmin ##########################
count += 1
outfile.writelines('%10s %10s\n'%(vel, decm))
progress = float(count) / float(nTotal) * 100
self._update_progress(progress)
outfile.close()
def exportAll(self, filename = 'interpolated_receivers.out'):
recfile_out = open(filename, 'w')
count = 0
for traceID in self.getReceiverCoordinates().keys():
count += 1
x, y, z = self.getReceiverCoordinates()[traceID]
recfile_out.writelines('%5s %15s %15s %15s\n' %(traceID, x, y, z))
print "Exported coordinates for %s traces to file > %s" %(count, filename)
recfile_out.close()
def plotArray2D(self, plot_topo = False, highlight_measured = False, annotations = True):
import matplotlib.pyplot as plt
plt.interactive(True)
plt.figure()
xmt, ymt, zmt = self.getMeasuredTopoLists()
xsc, ysc, zsc = self.getSourceLocsLists()
xmr, ymr, zmr = self.getMeasuredReceiverLists()
xrc, yrc, zrc = self.getReceiverLists()
plt.plot(xrc, yrc, 'k.', markersize = 10, label = 'all receivers')
plt.plot(xsc, ysc, 'b*', markersize = 10, label = 'shot locations')
if plot_topo == True:
plt.plot(xmt, ymt, 'b', markersize = 10, label = 'measured topo points')
if highlight_measured == True:
plt.plot(xmr, ymr, 'ro', label = 'measured receivers')
plt.xlabel('X [m]')
plt.ylabel('Y [m]')
plt.legend()
if annotations == True:
for traceID in self.getReceiverCoordinates().keys():
plt.annotate(str(traceID), xy = (self._getXreceiver(traceID), self._getYreceiver(traceID)), fontsize = 'x-small')
def plotArray3D(self, ax = None):
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
plt.interactive(True)
if ax == None:
fig = plt.figure()
ax = plt.axes(projection = '3d')
xmt, ymt, zmt = self.getMeasuredTopoLists()
xmr, ymr, zmr = self.getMeasuredReceiverLists()
xin, yin, zin = self.getReceiverLists()
ax.plot(xmt, ymt, zmt, 'b*', markersize = 10, label = 'measured topo points')
ax.plot(xin, yin, zin, 'k.', markersize = 10, label = 'interpolated receivers')
ax.plot(xmr, ymr, zmr, 'ro', label = 'measured receivers')
ax.set_xlabel('X'); ax.set_ylabel('Y'); ax.set_zlabel('elevation')
ax.legend()
return ax
def plotSurface3D(self, ax = None, step = 0.5, method = 'linear'):
from matplotlib import cm
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
plt.interactive(True)
if ax == None:
fig = plt.figure()
ax = plt.axes(projection = '3d')
xmt, ymt, zmt = self.getMeasuredTopoLists()
xmr, ymr, zmr = self.getMeasuredReceiverLists()
x = xmt + xmr
y = ymt + ymr
z = zmt + zmr
xaxis = np.arange(min(x)+1, max(x), step)
yaxis = np.arange(min(y)+1, max(y), step)
xgrid, ygrid = np.meshgrid(xaxis, yaxis)
zgrid = griddata((x, y), z, (xgrid, ygrid), method = method)
ax.plot_surface(xgrid, ygrid, zgrid, linewidth = 0, cmap = cm.jet, vmin = min(z), vmax = max(z))
ax.set_zlim(-(max(x) - min(x)/2),(max(x) - min(x)/2))
ax.set_aspect('equal')
ax.set_xlabel('X'); ax.set_ylabel('Y'); ax.set_zlabel('elevation')
ax.legend()
return ax
def _update_progress(self, progress):
sys.stdout.write("%d%% done \r" % (progress) )
sys.stdout.flush()
def receivers2VTK(self, filename = 'receivers.vtk'):
'''
Generates vtk files from all receivers of the SeisArray object.
'''
outfile = open(filename, 'w')
traceIDs = []
for traceID in self.getReceiverCoordinates():
traceIDs.append(traceID)
nPoints = len(traceIDs)
# write header
print("Writing header for VTK file...")
outfile.writelines('# vtk DataFile Version 3.1\n')
outfile.writelines('Receivers with traceIDs\n')
outfile.writelines('ASCII\n')
outfile.writelines('DATASET POLYDATA\n')
outfile.writelines('POINTS %15d float\n' %(nPoints))
# write coordinates
print("Writing coordinates to VTK file...")
for traceID in traceIDs:
x = self._getXreceiver(traceID)
y = self._getYreceiver(traceID)
z = self._getZreceiver(traceID)
outfile.writelines('%10f %10f %10f \n' %(x, y, z))
outfile.writelines('VERTICES %15d %15d\n' %(nPoints, 2 * nPoints))
# write indices
print("Writing indices to VTK file...")
for index in range(nPoints):
outfile.writelines('%10d %10d\n' %(1, index))
outfile.writelines('POINT_DATA %15d\n' %(nPoints))
outfile.writelines('SCALARS traceIDs int %d\n' %(1))
outfile.writelines('LOOKUP_TABLE default\n')
# write traceIDs
print("Writing traceIDs to VTK file...")
for traceID in traceIDs:
outfile.writelines('%10d\n' %traceID)
outfile.close()
print("Wrote receiver grid for %d points to file: %s" %(nPoints, filename))
return
def sources2VTK(self, filename = 'sources.vtk'):
'''
Generates vtk-files for all source locations in the SeisArray object.
'''
outfile = open(filename, 'w')
shotnumbers = []
for shotnumber in self.getSourceLocations():
shotnumbers.append(shotnumber)
nPoints = len(shotnumbers)
# write header
print("Writing header for VTK file...")
outfile.writelines('# vtk DataFile Version 3.1\n')
outfile.writelines('Shots with shotnumbers\n')
outfile.writelines('ASCII\n')
outfile.writelines('DATASET POLYDATA\n')
outfile.writelines('POINTS %15d float\n' %(nPoints))
# write coordinates
print("Writing coordinates to VTK file...")
for shotnumber in shotnumbers:
x = self._getXshot(shotnumber)
y = self._getYshot(shotnumber)
z = self._getZshot(shotnumber)
outfile.writelines('%10f %10f %10f \n' %(x, y, z))
outfile.writelines('VERTICES %15d %15d\n' %(nPoints, 2 * nPoints))
# write indices
print("Writing indices to VTK file...")
for index in range(nPoints):
outfile.writelines('%10d %10d\n' %(1, index))
outfile.writelines('POINT_DATA %15d\n' %(nPoints))
outfile.writelines('SCALARS shotnumbers int %d\n' %(1))
outfile.writelines('LOOKUP_TABLE default\n')
# write shotnumber
print("Writing shotnumbers to VTK file...")
for shotnumber in shotnumbers:
outfile.writelines('%10d\n' %shotnumber)
outfile.close()
print("Wrote receiver grid for %d points to file: %s" %(nPoints, filename))
return
def saveSeisArray(self, filename = 'seisArray.pickle'):
import cPickle
outfile = open(filename, 'wb')
cPickle.dump(self, outfile, -1)
print('saved SeisArray to file %s'%(filename))
@staticmethod
def from_pickle(filename):
import cPickle
infile = open(filename, 'rb')
return cPickle.load(infile)