data["feature_name"] = "test"
data["feature_name"] = "test"
data["nx"] = np.nan
data["ny"] = np.nan
data["nz"] = np.nan
data.loc[3, :] = [0, 0, 0, np.nan, "test", v, 0, 0]
# data.loc[3,['nx','ny','nz']]/=np.linalg.norm(data.loc[3,['nx','ny','nz']])
# data.loc[4,:] = [0,0,1,np.nan,'test',1,0,0]
model = GeologicalModel(np.zeros(3), np.ones(3) * 10)
model.data = data
model.create_and_add_foliation("test",
nelements=1e4,
interpolatortype="FDI")
view = LavaVuModelViewer(model)
view.add_isosurface(model["test"], slices=[0, 1], name="test")
view.add_data(model["test"])
view.rotate([-92.68915557861328, 2.879497528076172, 1.5840799808502197])
view.xmin = 0
view.ymin = 0
view.zmin = 0
view.xmax = 10
view.ymax = 10
view.zmax = 10
images[v] = view.image_array()
fig, ax = plt.subplots(1, 3, figsize=(30, 10))
ax[0].imshow(images[1])
ax[1].imshow(images[5])
ax[2].imshow(images[1 / 5])
ax[0].axis("off")
ax[1].axis("off")
ax[2].axis("off")
#
# **HINT** you can view the strike and dip data by unchecking the scalar
# field box.
#
# **The black arrows are the normal vector to the folded surface**
#
npoints = 20
model = GeologicalModel(boundary_points[0,:],boundary_points[1,:])
model.set_model_data(data[:npoints])
stratigraphy = model.create_and_add_foliation("s0",interpolatortype="PLI",nelements=5000,buffer=0.3,cgw=0.1)#.2)
viewer = LavaVuModelViewer(model,background="white")
# viewer.add_scalar_field(model.bounding_box,(38,55,30),
# 'box',
# paint_with=stratigraphy,
# cmap='prism')
viewer.add_data(stratigraphy)
viewer.add_isosurface(stratigraphy,
)
viewer.rotate([-85.18760681152344, 42.93233871459961, 0.8641873002052307])
viewer.display()
######################################################################
# Modelling folds using structural geology
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#
# The following section will describe how the fold axis, fold axial
# surface and fold vergence can be used to help constrain the shape of the
# folded surface. To do this we need to build a fold frame which is
# curvilinear coordinate system based around the fold axis and the fold
# axial surface.
def loop2LoopStructural(thickness_file,orientation_file,contacts_file,bbox):
from LoopStructural import GeologicalModel
from LoopStructural.visualisation import LavaVuModelViewer
import lavavu
df = pd.read_csv(thickness_file)
thickness = {}
for f in df['formation'].unique():
thickness[f] = np.mean(df[df['formation']==f]['thickness'])
#display(thickness)
order = ['P__TKa_xs_k','P__TKo_stq','P__TKk_sf','P__TK_s',
'A_HAu_xsl_ci', 'A_HAd_kd', 'A_HAm_cib', 'A_FOj_xs_b',
'A_FO_xo_a', 'A_FO_od', 'A_FOu_bbo',
'A_FOp_bs', 'A_FOo_bbo', 'A_FOh_xs_f', 'A_FOr_b']
strat_val = {}
val = 0
for o in order:
if o in thickness:
strat_val[o] = val
val+=thickness[o]
#display(strat_val)
orientations = pd.read_csv(orientation_file)
contacts = pd.read_csv(contacts_file)
contacts['val'] = np.nan
for o in strat_val:
contacts.loc[contacts['formation']==o,'val'] = strat_val[o]
data = pd.concat([orientations,contacts],sort=False)
data['type'] = np.nan
for o in order:
data.loc[data['formation']==o,'type'] = 's0'
data
boundary_points = np.zeros((2,3))
boundary_points[0,0] = bbox[0]
boundary_points[0,1] = bbox[1]
boundary_points[0,2] = -20000
boundary_points[1,0] = bbox[2]
boundary_points[1,1] = bbox[3]
boundary_points[1,2] = 1200
model = GeologicalModel(boundary_points[0,:],boundary_points[1,:])
model.set_model_data(data)
strati = model.create_and_add_foliation('s0', #identifier in data frame
interpolatortype="FDI", #which interpolator to use
nelements=400000, # how many tetras/voxels
buffer=0.1, # how much to extend nterpolation around box
solver='external',
external=solve_pyamg
)
#viewer = LavaVuModelViewer()
viewer = LavaVuModelViewer(model)
viewer.add_data(strati['feature'])
viewer.add_isosurface(strati['feature'],
# nslices=10,
slices= strat_val.values(),
# voxet={'bounding_box':boundary_points,'nsteps':(100,100,50)},
paint_with=strati['feature'],
cmap='tab20'
)
#viewer.add_scalar_field(model.bounding_box,(100,100,100),
# 'scalar',
## norm=True,
# paint_with=strati['feature'],
# cmap='tab20')
viewer.add_scalar_field(strati['feature'])
viewer.set_viewer_rotation([-53.8190803527832, -17.1993350982666, -2.1576387882232666])
#viewer.save("fdi_surfaces.png")
viewer.interactive()
viewer.display()
displacement = 400 #INSERT YOUR DISPLACEMENT NUMBER HERE BEFORE #
model = GeologicalModel(bb[0, :], bb[1, :])
model.set_model_data(data)
fault = model.create_and_add_fault('fault',
displacement,
nelements=2000,
steps=4,
interpolatortype='PLI',
buffer=2)
strati = model.create_and_add_foliation('strati',
nelements=30000,
interpolatortype='PLI',
cgw=0.03)
model.update()
viewer = LavaVuModelViewer(model)
viewer.add_isosurface(strati, isovalue=0)
# viewer.add_data(model.features[0][0])
viewer.add_data(strati)
viewer.add_isosurface(fault,
isovalue=0
# slices=[0,1]#nslices=10
)
viewer.add_points(
model.data[model.data['feature_name'] == 'strati'][['X', 'Y', 'Z']],
name='prefault')
viewer.rotation = [-73.24819946289062, -86.82220458984375, -13.912878036499023]
viewer.display()
# ~~~~~~~~~~~~
#
model = GeologicalModel(bb[0,:],bb[1,:])
model.set_model_data(data)
s2 = model.create_and_add_fold_frame('s2',
nelements=10000,
buffer=0.5,
solver='lu',
damp=True)
viewer = LavaVuModelViewer(model)
viewer.add_scalar_field(s2[0],
cmap='prism')
viewer.add_isosurface(s2[0],
slices=[0,1])
viewer.add_data(s2[0])
viewer.rotate(rotation)
viewer.display()
######################################################################
# Modelling S1
# ~~~~~~~~~~~~
#
s1 = model.create_and_add_folded_fold_frame('s1',
limb_wl=4,
av_fold_axis=True,
nelements=50000,
buffer=0.3,
model = GeologicalModel.from_map2loop_directory(
proj_path,
# evaluate=False,
fault_params=fault_params,
rescale=False,
foliation_params=foliation_params,
)
#model.to_file(output_path + "/model.pickle")
model.update()
view = LavaVuModelViewer(model, vertical_exaggeration=1)
view.nsteps = np.array([200, 200, 200])
view.nsteps = np.array([50, 50, 50])
for sg in model.feature_name_index:
if ('super' in sg):
view.add_data(model.features[model.feature_name_index[sg]])
view.nelements = 1e5
view.add_model_surfaces(function=function, filename=filename, faults=False)
view.nelements = 1e6
view.add_model_surfaces(function=function,
filename=filename,
strati=False,
displacement_cmap='rainbow')
view.lv.webgl(vtk_path + model_name)
view.nsteps = np.array([200, 200, 200])
view.add_model()
view.lv.control.Range('alpha', label="Global Opacity")
view.lv.control.DualRange(['xmin', 'xmax'],
label="x clip",
view = LavaVuModelViewer(model)
for f in model.faults:
view.add_isosurface(f, slices=[0]) #
view.rotation = [-50.92916488647461, -30.319700241088867, -20.521053314208984]
view.display()
##############################
# Modelling abutting faults
# ~~~~~~~~~~~~~~~~~~~~~~~~~
# In this exampe we will use the same faults but specify the angle between the faults as $40^\circ$ which will change the fault relationship to be abutting rather than splay.
processor = ProcessInputData(
fault_orientations=ori,
fault_locations=df,
origin=origin,
maximum=maximum,
fault_edges=[("fault_2", "fault_1")],
fault_edge_properties=[{"angle": 40}],
)
model = GeologicalModel.from_processor(processor)
view = LavaVuModelViewer(model)
for f in model.faults:
view.add_isosurface(f, slices=[0]) #
view.add_data(f[0], vectors=True)
view.rotation = [-50.92916488647461, -30.319700241088867, -20.521053314208984]
view.display()
# It is recommended to visualise
# the vectorfield at a lower resolution than the mesh otherwise it can be
# difficult to see the vectors. You can use numpy stepping along the
# array: ``locations = mesh.barycentre[::20,:]`` which will sample every
# 20th sample in the numpy array.
#
viewer = LavaVuModelViewer(model,background="white")
# determine the number of unique surfaces in the model from
# the input data and then calculate isosurfaces for this
unique = np.unique(strati.interpolator.get_value_constraints()[:,3])
viewer.add_isosurface(strati,
slices=unique,
cmap='prism',
paint_with=strati)
viewer.add_section(strati,
axis='x',
value=0.,
boundary_points=model.bounding_box,
nsteps=np.array([30,30,30]),
cmap='prism')
viewer.add_scalar_field(strati,
cmap='prism')
viewer.add_model(cmap='tab20')
# Add the data addgrad/addvalue arguments are optional
viewer.add_data(strati,addgrad=True,addvalue=True, cmap='prism')
viewer.lv.rotate([-85.18760681152344, 42.93233871459961, 0.8641873002052307])
viewer.display()# to add an interactive display