https://github.com/Zabamund/wellpathpy

Well deviation import
https://github.com/Zabamund/wellpathpy

Last synced: about 2 months ago
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Well deviation import

• Host: GitHub
• URL: https://github.com/Zabamund/wellpathpy
• Owner: Zabamund
• License: lgpl-3.0
• Created: 2019-05-09T08:01:26.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2023-09-24T13:17:55.000Z (9 months ago)
• Last Synced: 2024-05-06T15:03:13.554Z (about 2 months ago)
• Language: Python
• Size: 1.77 MB
• Stars: 73
• Watchers: 6
• Forks: 27
• Open Issues: 7
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Lists

• awesome-open-geoscience - Wellpathpy
• awesome-open-geoscience - Wellpathpy

README

        
# README

## Contributors:

- [Robert Leckenby](https://github.com/Zabamund)

- [Brendon Hall](https://github.com/brendonhall)

- [Jørgen Kvalsvik](https://github.com/jokva)

## Introduction

`wellpathpy` is a LGPL-3.0 licensed library to import well deviations in (md, inc, azi) format, calculate their TVD values using a choice of methods and return them as positional logs in (tvd, northing, easting) format.

## Features

- load well deviation in (md, inc, azi) format:

    * meta data (header, rkb, dfe, rt)

    * md, incl, azi

- calculate position log survey using one of these methods:

    * minimum curvature method

    * radius of curvature method

    * tangential methods

- calculate dog-leg severity from minimum curvature

- calculate depth references using header data if available: MD, TVD, TVDSS

- return interpolated deviation in (tvd, northing, easting) format

- move surface location to (0, 0, 0) or to (kb, mE, mN)

- convert to tvdss based on kb elevation

- resample deviation on regular steps with minimum curvature only

## Installation

**This is work in progress**

From [pypi](https://pypi.org/project/wellpathpy/) with:

`pip install wellpathpy`

## Requirements

- [numpy](https://numpy.org/) version 1.16.2 or greater

## Tutorials

A tutorial is available on [wellpathpy.readthedocs.io](https://wellpathpy.readthedocs.io/en/latest/tutorial.html)

## Contributing

We welcome all kinds of contributions, including code, bug reports, issues, feature requests, and documentation. The preferred way of submitting a contribution is to either make an issue on github or by forking the project on github and making a pull request.

## History

wellpathpy started as a community project during the [May 2019 Transform event](https://agilescientific.com/blog/2019/5/18/transform-happened).