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Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

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Awesome Open Geoscience

Geoscience is awesome.

Awesome Build Status Contributions Commits Chat on slack License Twitter

Open geoscience is even more awesome, so we made a list. This list is curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome. In accordance with the awesome manifesto, we add awesome repositories. We are open to contributions of course, this is a community effort after all.

Contents

Related Awesome

Top

Software

Awesome software projects sub-categorized by focus.

Seismic and Seismology

  • SeisComp - Python C++ Seismic observatory automation toolkit. Autodetection, storage, sharing, processing data and more
  • RedPy - Python Auto-clustering for seismic events
  • Seismic Un*xC Seismic data processing suite
  • MadagascarC Python Multi-dimensional data processing suite
  • OpenSeaSeisC++ Seismic workflow generator and seismic viewer
  • ObsPyPython Framework for reading, writing and processing seismic and seismological data
  • BrugesPython Various geophysical equations and tools
  • SegyioPython / matlab Fast library for seismic SEGY files
  • PyrockoPython Seismology toolkit
  • AuralibPython / Python package to support investigation of geoscience problems including geophysics, rock physics, petrophysics, and data read/write in common formats
  • OpendTect seismic interpretation platform. See the docs for more information.
  • rsudpPython Continuous ObsPy-based visual display, sudden motion monitoring, and historical replay of Raspberry Shake data
  • SeismicZFPPython Convert SEG-Y/ZGY files to compressed SGZ files & retrieve arbitrary sub-volumes from these, fast

Ground-penetrating radar

  • gprMaxPython CUDA Finite-difference time-domain electromagnetic wave propagation simulator (on CPU and GPU)
  • RGPRR Reads, exports, processes, and plots ground-penetrating radar data
  • readgssiPython Fast command line or console-based visualization, filtering, and translation of GSSI radar data
  • GPRPyPython Multi-format, GUI-based GPR processing and visualization
  • RAGUPython Radar interpretation GUI compatible with multiple radar datasets

Well Log

  • lasioPython Reading and writing well data using Log ASCII Standard (LAS) files
  • WellyPython Analyzing and processing well log data
  • dlisioPython Parser for dlis well log files
  • StriplogPython Display lithological and stratigraphic logs for wells and outcrop
  • FuzzyLAS – Web app for looking up curve mnemonics
  • PetroPyPython - Petrophysics package for conventional and unconventional formation evaluation and includes basic well log visualization via matplotlib

Simulation and Modelling

  • Fatiando a TerraPython Modelling and inversion in geophysics
  • SimPEGPython Simulation and parameter estimation in geophysics
  • DevitoPython Finite-Difference computation from high-level symbolic problem definitions
  • bh_tomomatlab Borehole radar and seismic tomography package
  • modelr.ioPython Javascript Web app for simple synthetic seismic forward modelling
  • ModFlowF90 Flow modelling software distributed by the USGS to simulate and predict groundwater conditions and groundwater/surface-water interactions with additional variants and add-ons
  • pyGIMLiPython C++ Multi-method library for solving inverse and forward tasks related to geophysical problems
  • GemPyPython 3-D structural geological modelling software with implicit modelling and support for stochastic modelling
  • ModFlow)
  • LandlabPython Simulate surface processes using a large suite of existing interoperable process components (landscape evolution, sediment dynamics, surface hydrology, ecohydrology), exensible by own modules
  • pyGeoPressurePython Pore pressure prediction using well log data and seismic velocity data
  • empymodPython Controlled-source electromagnetic modellers for layered (empymod) and three-dimensional (emg3d) anisotropic media
  • PyLopsPython Linear Operators with some geophysics/seismic modules (e.g., pre- and post-stack AVO inversion, deconvolution, Marchenko redatuming, Radon filtering)
  • ttcrpyPython C++ Traveltime computation and raytracing on 2D & 3D rectilinear grids and unstructured meshes
  • Awesome PyMTPython Python toolkit for coupling models and datasets that expose the Basic Model Interface (BMI)
  • Awesome Basic Model Interface (BMI)C C++ Fortran Python A standardized set of functions for model-model and model-data coupling
  • XTgeoPython Python library with C backend to support manipulation of (oil industry) subsurface reservoir modelling
  • disbaPython Numba-accelerated computation of surface wave dispersion

Reservoir Engineering

  • libresPython Tool for managing an ensemble of reservoir models
  • eclPython Reading and writing Eclipse reservoir simulator files
  • MRSTmatlab Rapid prototyping and demonstration of new simulation methods in reservoir modelling and simulation
  • DuMuxC++ Simulator for flow and transport processes in porous media
  • SHEMAT-SuiteFortran Simulator for flow, heat and species transport in porous media including stochastic and deterministic parameter estimation
  • FesapiC++ C++ C++ Reading and writing RESQML2 files

Geostatistics

  • pyKrigingPython N-dimensional kriging
  • SGeMSCUDA Stanford geostatistical modelling software
  • pysgemsPython Use SGeMS (Stanford geostatistical modelling software) within Python
  • HPGLPython High perfomance geostatistics library
  • gstatPython Geostatistical modelling, prediction and simulation
  • PyGSLIBPython Mineral resource estimations
  • GeoStats.jlJulia High-performance geostatistics in Julia
  • GeostatsPyPython GSLIB reimplimented in Python
  • GeoStat-FrameworkPython Framework for geostatistical simulations

Geospatial

  • Generic Mapping ToolsC About 80 command-line tools for manipulating geographic and Cartesian data sets
  • geonotebookPython Jupyter notebook extension for geospatial visualization and analysis developed by NASA
  • Stress2Gridmatlab Two concepts to calculate the mean SHmax orientation
  • QGIS – GIS platform see Platforms
  • VerdePython processing spatial data to regular grids
  • GeoPHPPHP Geospatial library that works with many formats

Geochemistry

  • PhreeQCC++ Reactions in water and between water and rocks and sediments (speciation, batch-reaction, one-dimensional transport, and inverse geochemical calculations)
  • ReaktoroC++ Python Unified framework for modelling chemically reactive systems
  • GeoPyToolPython Application with geochemical plotting capabilities
  • pyrolitePython Geochemical transformation and visualisation

Geophysics

  • MTPy - Python A Python Toolbox for magnetotelluric data processing, analysis, modelling and visualization

Structural Geology

  • mplStereonetPython Stereonets on python based on Matplotlib
  • apsgPython Advanced structural geology analysis and visualisation based on Matplotlib

Visualization

  • ColorcetPython Perceptual colormaps
  • cmoceanPython MatPlotLib collection of perceptual colormaps for oceanography
  • PVGeoPython ParaView Data and model visualization in ParaView and Visualization Toolkit (VTK) via PyVista
  • PyVistaPython 3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)
  • GeologicPatterns - Entire FGDC pattern library extracted to SVG and PNG for use in geologic maps and stratigraphic columns
  • Open Mining Format (omf) package

Platforms

  • OpendTect – Seismic interpretation package, C++ source code available at https://github.com/OpendTect/OpendTect
  • QGIS – GIS platform to visualize, manage, edit, analyse data, and compose printable maps
  • PangeoPython A community platform for Big Data geoscience built on top of the open source scientific python ecosystem
  • OpenGeodeC++ Python Representation and manipulation of geological models
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Data Repositories

  • Poseidon NW Australia – Interpreted 3D seismic (32bit) including reports and well logs
  • World Stress Map – A global compilation of information on the crustal present-day stress field
  • NOPIMS – Open petroleum geoscience data from Western Australia made available by the Australian Government
  • UK National Data Repository – Open petroleum geoscience data from the UK Government (free registration required)
  • Athabasca Oil Sands Well Dataset McMurray/Wabiskaw – Well logs and stratigraphic picks for 2193 wells, including 750 with lithofacies, from Alberta, Canada
  • ICGEM – Hosts gravity field spherical harmonic models and provides a webservice for generating grids of gravity functionals (geoid, gravity anomaly, vertical derivatives, etc)
  • TerraNubis – The new Open Seismic Repository, includes the classic F3 and Penobscot seismic volumes (which both also have wells and other data assets).
  • QGIS basemap for Antarctica with high-quality, peer-reviewed, free and open Antarctic scientific data
  • Digital Rocks Portal – Powerful data portal for images of varied porous micro-structures
  • GSQ Open Data Portal – Petroleum, coal, and mineral geoscience data from the Queensland resource industry and government, with supporting information from GSQ GitHub Repository for Data Models, RDF Vocabularies, and system design
  • Geoscience Australia Portal – Comprehensive map-based Australian data portal across multiple geoscience domains
  • SARIG – South Australian Resources and Information Gateway providing map-based statewide geoscientific and geospatial data with over 600 datasets.
  • SEG Open Data Catalog – Catalog of "geophysical data that is readily available for download from the internet, via mail, or through special request", maintained by the Society of Exploration Geophysicists.
  • [Volve data village] (https://www.equinor.com/en/what-we-do/digitalisation-in-our-dna/volve-field-data-village-download.html) - A complete set of data from a North Sea oil field available for research, study and development purposes.
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Tutorials and Cheat Sheets

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Miscellaneous

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How to Contribute

Contributions welcome! Read the contribution guidelines first.

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License

CC0

To the extent possible under law, all contributors have waived all copyright and related or neighboring rights to this work.

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