Welcome to our guide on Welly, an innovative library designed for the loading, processing, and analysis of subsurface wells and well data. Think of it as your trusty toolbox for managing the intricacies of well-related data, which includes everything from striplogs to synthetic seismograms. In this article, we’ll take you through the installation steps, provide a quick start guide, and share troubleshooting tips to enhance your experience. Let’s dive in!

Installation: Setting Up Welly

To get started with Welly, the first step is installation. Simply execute the following command in your terminal:

pip install welly

For developers looking for more, Welly offers pip options that allow you to install testing, documentation, or development dependencies effortlessly.

Quick Start: Your First Interaction with Welly

Once you have Welly installed, you can start importing and utilizing its powerful features. Here’s a brief guide to help you begin:

python
from welly import Well, Project
w = Well.from_las(my_wells/my_well.las)  # Load a single well.
p = Project.from_las(my_wells/*.las)     # Load lots of wells.
gr = w.data['GR']  # One log...
gr.plot()          # ...with some superpowers!

In this analogy, think of ‘Welly’ as your personal assistant in the world of subsurface wells. Just like how you can ask your assistant to fetch a document or summarize information, you can use Welly to effortlessly load well data, visualize it, and analyze it. The assistant (Welly) manages the complex processes behind the scenes, so you can focus on the insights derived from the data.

Tutorial Notebooks: Further Learning

Next, we encourage you to check out the tutorial notebooks available. They provide hands-on examples to deepen your understanding of how Welly operates.

Documentation: A Work in Progress

To further assist users, the Welly documentation is continuously evolving to provide comprehensive support.

Troubleshooting: What to Do When Things Go Wrong

While Welly strives to be user-friendly, you may encounter challenges during your use. Here are some troubleshooting tips:

• Ensure you have the latest version of Welly installed.
• Double-check that your file paths are correct—typos can lead to frustrating errors.
• Consult the Welly documentation for more specific warnings or error messages.
• Engage with the Slack community in the #welly-and-lasio channel for support and discussions.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Contributing to Welly

If you’re interested in contributing to the development of Welly, please refer to the CONTRIBUTING.md file for guidelines.

Philosophy Behind Welly

The driving concept behind Welly is to create high-level objects that manage well data, moving beyond just LAS files. While lasio offers excellent handling of LAS file reading and writing, Welly takes this further by combining well data functionalities, allowing for a more comprehensive data management experience.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.