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🐰 Pozo Well Visualizer

Pozo is an open source, intuitive api for visualizing well logs. It uses plotly to render interactive graphs.

$ pip install pozo

Don't forget pip install lasio if you're using lasio! If you're using jupyter, pip install ipywidgets nbformat as well.

Simplest Usage

import pozo
import lasio
las = lasio.read("SALADIN.LAS")

# You can specify the data you are interested in
myGraph = pozo.Graph(las, include=["CALI", "CGR", "LLS", "ILD", "LLD", "NPH", "RHOB"])

# This is a good theme
myGraph.set_theme("cangrejo") # recommended theme!

myGraph.render(height=800, depth=[1080, 1180])

Notice the tracks are in the same order as your list include=[...].

We have a new feature! learn about crossplots

Combining Tracks

# Before you render

graph1.combine_tracks("CGR", "CALI") # Also maintains order!

graph1.combine_tracks("LLD","ILD","LLS") 

graph1.combine_tracks("RHOB", "NPHI")

# Notice we change position of depth axis with `depth_position=1`
graph1.render(height=800, depth_position=1, depth=[1080, 1180])

A pozo.Graph is made up of pozo.Track, which is made up of pozo.Axis, which is made up of pozo.Trace, which contains data and depth.

Theming

# Some possible settings:
#  "color": "blue"
#  "scale": "log"
#  "range": [0, 10]
#  "range_unit": "meter"

Themes on more specific items (like Axis) override more general items (like Track). Calling set_theme({}) on a Trace will override any theme on the Axis. If the theme on Trace lacks a key, the renderer will look in the Axis and so on and so forth.

Note: Setting themes on Trace only works for certain keys, e.g. Trace doesn't decide color, Axis or above does

The "cangrejo" theme above is a built-in mnemonic theme, it changes depending on the mnemonic.

# Option One: Set a fallback for everything (only works if theme is set to "cangrejo")
graph.get_theme().set_fallback({"track_width":200})


# Option Two: Set a specific theme on a specific track:
graph.get_tracks("CGR")[0].set_theme({"track_width":200})

learn more about themeing

Selecting Tracks

# Returns list of Track objects
tracks         = graph1.get_tracks("CGR", "MDP") # by name
other_tracks   = graph1.get_tracks(0, 2)         # by position

# Removes AND returns list of Track of objects
popped_tracks  = graph1.pop_tracks("CGR", 3)     # by name or position

# Note: The name is often the mnemonic. But not always, like in combined tracks.
# To search explicitly by mnemonic:
popped_tracks2 = graph1.pop_tracks(pozo.HasLog("CGR"))

Adding Data Manually

Sometimes you want to do your own math and construct your own data:

data = [1, 2, 3]
depth = [1010, 1020, 1030]

new_data=Data(data, depth=depth, mnemonic="LOL!")
graph.add_tracks(new_data)
# all data must have either a mnemonic or a name

You can now call graph.add_tracks(new_data)

But maybe you want to theme it first. Don't theme the "Data" directly, it won't impact much. Instead:

new_tracks = graph.add_tracks(new_data)
new_tracks[0].set_theme({"color":"red", range=[0, 1], range_unit="fraction"})

learn more about internals

Sanitizing Data

Units

pozo.units.check_las(las_object) is a function that can help you verify the validy of LAS data. It will list the units it thinks it is and the ranges of values and number of NaNs.