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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 the following data:

Four .las data from wildcat wells in the National Petroleum Reserve in Alaska. Those where drilled in the National Petroleum Reserve in Alaska (NPRA).
USGS Well Index

Two .dlis data from the Mississippi Fan (Gulf of Mexico) from the DSDP (Deep Sea Drilling Project); DSDP Leg 96 - Hole 616; Processed and Original data.
DSDP Leg 96 - Hole 616

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

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Algoritmos, métodos e equações de geofísica do appy

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