Python Tool Pro - Plotting 3D seismic data#
Connect to Python Tool Pro
[37]:
from cegalprizm.pythontool import PetrelConnection
ptp = PetrelConnection(allow_experimental=True)
Import CegalPrizm Investigator and connect to Investigator
[38]:
import cegalprizm.investigator as investigator
from cegalprizm.investigator import InvestigatorConnection
from cegalprizm.investigator.views import *
invconnection = InvestigatorConnection(use_licensed_features=True)
Select the seismic 3D cube by name
[39]:
name = 'Input/Seismic/Seismic Data/Orig Amp'
seismic = ptp.seismic_cubes[name]
Print the extents of the cube
[40]:
seismic.extent
[40]:
Extent(i=375, j=301, k=227)
Create a continuous value object describing the seismic data.
This is used by Investigator to identify the values as seismic data and allows min/max values to be specified. These ensure that the colorscales from the different plots are consistent for the same seismic data.
[10]:
from cegalprizm.investigator import get_continuous_value_info
continuous_names = ['Value']
continuous_info = { 'Value': get_continuous_value_info(seismic) }
Show seismic Z slice in map plot#
Create a dataframe from the seismic cube chunk. The chunk contains as all i, all j and a single k value.
[41]:
seismic_z_df = seismic.chunk(irange=None, jrange=None, krange=50).as_dataframe()
Set the dataframe name attribute and print the head of the dataframe.
The dataframe contains only I, J, K and Value columns. These are the minimum columns needed to allow Investigator to treat the data as seismic. As no X, Y or TWT data is included the plot will default to sampling every 1ms.
[42]:
seismic_z_df.name = name
seismic_z_df.head()
[42]:
I | J | K | Value | |
---|---|---|---|---|
0 | 0 | 0 | 50 | 2216.423340 |
1 | 0 | 1 | 50 | 2888.066895 |
2 | 0 | 2 | 50 | 1410.451294 |
3 | 0 | 3 | 50 | 1141.793823 |
4 | 0 | 4 | 50 | 604.479126 |
Create a new investigation from the dataframe containing the seismic data
[12]:
seismic_z_inv = invconnection.investigation_from_dataframe(seismic_z_df, continuous_names, continuous_column_info=continuous_info)
Create a map view from the investigation and plot it
[13]:
seismic_z_view = MapView(seismic_z_inv)
investigator.plot(seismic_z_view)
[13]:

Show seismic in seismic line plot#
Create a dataframe from the seismic cube chunk. The chunk contains as a single i, all i, all j and all k values.
[22]:
seismic_cube_df = seismic.chunk(irange=(30,35), jrange=None, krange=None).as_dataframe()
Create a new investigation from the dataframe containing the seismic data
[28]:
seismic_cube_inv = invconnection.investigation_from_dataframe(seismic_cube_df, continuous_names, continuous_column_info=continuous_info)
Create a seismic line view from the investigation and plot it
[31]:
seismic_cube_view = SeismicLineView(seismic_cube_inv)
investigator.plot(seismic_cube_view, width=1500)
[31]:
