Displaying Logging While Drilling (LWD) Image Logs in Python

Displaying Logging While Drilling (LWD) Image Logs in Python

Utilizing the power of matplotlib to display wellbore image data .Displaying Logging While Drilling (LWD) Image Logs in Python

Introduction

Borehole image logs are false-color pseudo images of the borehole wall generated from different logging measurements/tools. How borehole images are acquired differs between wireline logging and logging while drilling (LWD). In the wireline environment measurements are made from buttons on pads that are pressed up against the borehole wall and provide limited coverage, but at a high resolution. In contrast, in the LWD environment measurements are made from sensors built into tools that form part of the drillstring/tool assembly, and using the tool rotation, provide full 360-degree coverage. LWD image data is often split into sectors, the number of which will vary depending on the tool technology. As the tool rotates the data is binned into the relevant sector and from it we can build up a pseudo image of the borehole wall.

The generated images are often viewed in two dimensions on a log plot as an ‘unwrapped borehole’ and as seen in the image above. The cylindrical borehole is cut along the north azimuth in vertical wells or along the highside of the borehole in deviated/horizontal wells. As a result of being projected onto a 2D surface, any planar features that intersect the borehole are represented as sinusoid shapes on the plot. By analyzing the amplitude and offset of these sinusoids geologists can gain an understanding of the geological structure of the subsurface. Borehole image data can also be used to identify and classify different geological facies/textures, identify thin-beds, fault and fracture analysis, and more.

In this article, I am going to work through displaying logging while drilling image data from azimuthal gamma ray and azimuthal density measurements using Python and matplotlib.

This article forms part of my Python & Petrophysics series. Details of which can be found here. For the examples below you can find my Jupyter Notebook and dataset on my GitHub repository at the following link.

python matplotlib

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

Matplotlib Tutorial | Python Matplotlib Library

Matplotlib Tutorial. Matplotlib is one of the most popular Python packages used for data visualization. It is a cross-platform library for making 2D plots from data in arrays. It provides an object-oriented API that helps in embedding plots in applications using Python GUI toolkits such as PyQt, WxPythonotTkinter.

Python Matplotlib Introduction & Installation

This is our first tutorial in Python Matplotlib, in this tutorial we are going to learn about Python Matplotlib Introduction & Installation.

Python Matplotlib How to Plot Points

In this article we are going to learn Matplotlib How to Plot Points. also we can call it scatter plot.  you

Python Matplotlib Plotting Barchart - Code Loop

A vertical bar chart is sometimes called a column chart. you can read the previous articles for Python Matplotlib in the below links.

Python Tricks Every Developer Should Know

In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.