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Geophysics equations, algorithms and methods

Project description

Algorithms, methods and equations for geophysics in Python

Part of the Appy project

Documentation (latest) | Institutional (GIECAR website)

Latest version on PyPI PyPI version

About

The Stoneforge library is linked to the GIECAR laboratory at the Universidade Federal Fluminense (UFF) related to the Geology and Geophysics Departmnet (GGO), and its purpose is to teach and develop routines in Python to solve geological and geophysical problems.

Installation and first steps

To install stoneforge use the following syntax in your command interpreter environment:

$pip install stoneforge

and them verify the installation using the following command in Python:

>>> import stoneforge

Dataset

The stoneforge dataset comprises selected data from eleven wildcat wells in the National Petroleum Reserve in Alaska / by F.N. Zihlman and H.L. Oliver. Contains data sets from 11 wildcat wells drilled in the National Petroleum Reserve in Alaska (NPRA).

Zihlman, F. N creator ; Oliver, H. L ; Geological Survey (U.S.) Reston, Va. : Denver, Colo : U.S. Dept. of the Interior, U.S. Geological Survey1999

Our special thanks to the INDIANA UNIVERSITY for mantaining this dataset

Change Log

0.1.0 (29/01/2022)

  • First Release

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