Dataframe - Plotting well log data#
Import Pandas
[1]:
import pandas as pd
Create a dataframe from a csv file containing well log data
[2]:
df = pd.read_csv("welllogs.csv")
Print the head of the dataframe
[3]:
df.head()
[3]:
| CALIPER | NG | True vertical thickness 1 | True stratigraphic thickness 1 | Time 1 | NetGross | Porosity | Gamma | Perm | DEPTH | TWT (Vo) | Facies | Fluvial facies | Zone log linked to 'Well Tops' | Zones (hierarchy) | MD | TWT | TVD | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | UNDEF | UNDEF | UNDEF | UNDEF | -1690.643701 | -0.072525 | -0.075489 |
| 1 | NaN | NaN | NaN | NaN | 0.079441 | NaN | NaN | NaN | NaN | NaN | NaN | UNDEF | UNDEF | UNDEF | UNDEF | -1690.143701 | 0.153068 | 0.159324 |
| 2 | NaN | NaN | NaN | NaN | 0.196519 | NaN | NaN | NaN | NaN | NaN | NaN | UNDEF | UNDEF | UNDEF | UNDEF | -1689.643701 | 0.378660 | 0.394136 |
| 3 | NaN | NaN | NaN | NaN | 0.313596 | NaN | NaN | NaN | NaN | NaN | NaN | UNDEF | UNDEF | UNDEF | UNDEF | -1689.143701 | 0.604253 | 0.628949 |
| 4 | NaN | NaN | NaN | NaN | 0.430672 | NaN | NaN | NaN | NaN | NaN | NaN | UNDEF | UNDEF | UNDEF | UNDEF | -1688.643701 | 0.829846 | 0.863762 |
Import CegalPrizm Investigator and connect to Investigator
[4]:
import cegalprizm.investigator as investigator
from cegalprizm.investigator import InvestigatorConnection
from cegalprizm.investigator.views import *
invconnection = InvestigatorConnection(use_licensed_features=True)
Create a new investigation from the dataframe containing the well log data
[5]:
inv = invconnection.investigation_from_dataframe(df)
Create a log tracks view from the investigation and plot it
[6]:
view = LogTracksView(inv)
investigator.plot(view)
[6]:
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