3D Visualisation

In [1]:

import geolime as geo
import numpy as np
import pyvista as pv
pv.set_jupyter_backend('static')

import geolime as geo import numpy as np import pyvista as pv pv.set_jupyter_backend('static')

In order to use interactive 3D, please change the backend from 'static' to 'trame'. In order to do so, see PyVista documentation about Jupyter Notebook Plotting.

In [2]:

dh = geo.datasets.load("rocklea_dome/dh_hyper.geo")
bm = geo.datasets.load("rocklea_dome/bm_panel.geo")
ore_domain = geo.datasets.load("rocklea_dome/domain_mesh.dxf")

dh = geo.datasets.load("rocklea_dome/dh_hyper.geo") bm = geo.datasets.load("rocklea_dome/bm_panel.geo") ore_domain = geo.datasets.load("rocklea_dome/domain_mesh.dxf")

Basic Visualization¶

GeoLime objects can be exported to PyVista and visualized in 3 dimensions. Here the Drillholes is exported with the "Fe_pct" property into pyvista. The Solid representing the ore domain is also exported.

In [3]:

dh_pv = dh.to_pyvista('Fe_pct')
bm_pv = bm.to_pyvista()
ore_domain_pv = ore_domain.to_pyvista()

dh_pv = dh.to_pyvista('Fe_pct') bm_pv = bm.to_pyvista() ore_domain_pv = ore_domain.to_pyvista()

A simple plot of the two objects can be perfomed using the following snippet dddd

In [4]:

p = pv.Plotter()
p.add_mesh(dh_pv)
p.add_mesh(ore_domain_pv, color='blue')
p.add_mesh(bm_pv, opacity=0.3, show_edges=True)
p.show()

p = pv.Plotter() p.add_mesh(dh_pv) p.add_mesh(ore_domain_pv, color='blue') p.add_mesh(bm_pv, opacity=0.3, show_edges=True) p.show()

• Drillholes are by default displayed as lines, and can be represented as cylinder.
• Usually in geoscience, XY extent is much larger than Z extent and a scaling ratio must be used.

The previous snippet can be updated in order to take theses two points into account.

In [5]:

p = pv.Plotter()
p.add_mesh(dh_pv.tube(radius=10))
p.add_mesh(ore_domain_pv, color='blue')
p.add_mesh(bm_pv, opacity=0.3, show_edges=True)
p.set_scale(zscale=10)
p.show()

p = pv.Plotter() p.add_mesh(dh_pv.tube(radius=10)) p.add_mesh(ore_domain_pv, color='blue') p.add_mesh(bm_pv, opacity=0.3, show_edges=True) p.set_scale(zscale=10) p.show()

More plotting configuaration are available on the PyVista Plotting Documentation.

Cross Section¶

Orthogonal Cross Section¶

In [6]:

slices_dh = dh_pv.tube(radius=10).slice(normal="y", origin=[0, 7475600, 0])
slices_bm = bm_pv.slice(normal="y", origin=[0, 7475600, 0])
slices_ore_domain_pv =  ore_domain_pv.slice(normal="y", origin=[0, 7475600, 0])
                                                               
p = pv.Plotter()
p.add_mesh(slices_dh)
p.add_mesh(slices_bm, opacity=0.3, show_edges=True)
p.add_mesh(slices_ore_domain_pv, color='blue')
p.set_scale(zscale=10)
p.show()

slices_dh = dh_pv.tube(radius=10).slice(normal="y", origin=[0, 7475600, 0]) slices_bm = bm_pv.slice(normal="y", origin=[0, 7475600, 0]) slices_ore_domain_pv = ore_domain_pv.slice(normal="y", origin=[0, 7475600, 0]) p = pv.Plotter() p.add_mesh(slices_dh) p.add_mesh(slices_bm, opacity=0.3, show_edges=True) p.add_mesh(slices_ore_domain_pv, color='blue') p.set_scale(zscale=10) p.show()

Free Form Cross Section¶

However, drillholes data do lie perfectly on the same East-West or North-South lines as there might be some differences in the planned location compared to the drilled location. PyVista allows then to select data along a free form line. We select some holes along an East-West section, here the comprehension list create a list of consecutive holeid.

In [7]:

east_section = [f"RKC4{elt}" for elt in np.arange(60, 76)]

east_section = [f"RKC4{elt}" for elt in np.arange(60, 76)]

In [8]:

east_section

east_section

Out[8]:

['RKC460',
 'RKC461',
 'RKC462',
 'RKC463',
 'RKC464',
 'RKC465',
 'RKC466',
 'RKC467',
 'RKC468',
 'RKC469',
 'RKC470',
 'RKC471',
 'RKC472',
 'RKC473',
 'RKC474',
 'RKC475']

In [9]:

x_cross = dh.data("X_COLLAR", f"(HOLEID in {east_section})")

x_cross = dh.data("X_COLLAR", f"(HOLEID in {east_section})")

In [10]:

y_cross = dh.data("Y_COLLAR", f"(HOLEID in {east_section})")

y_cross = dh.data("Y_COLLAR", f"(HOLEID in {east_section})")

In [11]:

z_cross = dh.data("Z_COLLAR", f"(HOLEID in {east_section})")

z_cross = dh.data("Z_COLLAR", f"(HOLEID in {east_section})")

In [12]:

pts_pv = pv.PointSet(np.unique(np.vstack([x_cross, y_cross, z_cross]).T, axis=0))

pts_pv = pv.PointSet(np.unique(np.vstack([x_cross, y_cross, z_cross]).T, axis=0))

In [13]:

spl = pv.Spline(np.unique(np.vstack([x_cross, y_cross, z_cross]).T, axis=0), 30)

spl = pv.Spline(np.unique(np.vstack([x_cross, y_cross, z_cross]).T, axis=0), 30)

In [14]:

slices_ore_domain = ore_domain_pv.slice_along_line(spl)
slices_dh = dh_pv.tube(radius=10).slice_along_line(spl)
slices_bm = bm_pv.slice_along_line(spl)


p = pv.Plotter()
p.add_mesh(slices_ore_domain, color='blue')
p.add_mesh(slices_dh, line_width=2)
p.add_mesh(slices_bm, opacity=0.3, show_edges=True)
p.add_mesh(pts_pv, color='green', point_size=10)
p.set_scale(zscale=10)
p.show()

slices_ore_domain = ore_domain_pv.slice_along_line(spl) slices_dh = dh_pv.tube(radius=10).slice_along_line(spl) slices_bm = bm_pv.slice_along_line(spl) p = pv.Plotter() p.add_mesh(slices_ore_domain, color='blue') p.add_mesh(slices_dh, line_width=2) p.add_mesh(slices_bm, opacity=0.3, show_edges=True) p.add_mesh(pts_pv, color='green', point_size=10) p.set_scale(zscale=10) p.show()