wellpathpy 0.1.0a2

Light package to load well deviations

# 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

• interpolate survey using one of these methods:

  • minimum curvature method
  • radius of curvature method
  • tangential method

• calculate dog-leg severity
• 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

## Installation

This is work in progress

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

pip install wellpathpy

## Requirements

• [pandas](https://pandas.pydata.org/) version 0.24.2 or greater
• [numpy](https://numpy.org/) version 1.16.2 or greater
• [scipy](https://www.scipy.org/) version 1.2.1 or greater
• [pytest](https://pytest.org/) version 4.3.1 or greater

## Tutorials

ToDo

## 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).