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        "description": "# README\n\n## Contributors:\n\n- [Robert Leckenby](https://github.com/Zabamund)\n- [Brendon Hall](https://github.com/brendonhall)\n- [J\u00f8rgen Kvalsvik](https://github.com/jokva)\n\n## Introduction\n\n`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.\n\n## Features\n\n- load well deviation in (md, inc, azi) format:\n    * meta data (header, rkb, dfe, rt)\n    * md, incl, azi\n- interpolate survey using one of these methods:\n    * minimum curvature method\n    * radius of curvature method\n    * tangential method\n- calculate dog-leg severity\n- calculate depth references using header data if available: MD, TVD, TVDSS\n- return interpolated deviation in (tvd, northing, easting) format\n- move surface location to (0, 0, 0) or to (kb, mE, mN)\n- convert to tvdss based on kb elevation\n- resample deviation on regular steps\n\n## Installation\n\n**This is work in progress**\n\nFrom [pypi](https://pypi.org/project/wellpathpy/) with:\n\n`pip install wellpathpy`\n\n## Requirements\n\n- [pandas](https://pandas.pydata.org/) version 0.24.2 or greater\n- [numpy](https://numpy.org/) version 1.16.2 or greater\n- [scipy](https://www.scipy.org/) version 1.2.1 or greater\n- [pytest](https://pytest.org/) version 4.3.1 or greater\n\n## Tutorials\n\nToDo\n\n## Contributing\n\nWe 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.\n\n## History\n\nwellpathpy started as a community project during the [May 2019 Transform event](https://agilescientific.com/blog/2019/5/18/transform-happened).\n\n",
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