Skip to main content

Geothermal Play Fairway Analysis

Project description

PyPi Zenodo License SWR

PythonV Ruff Pixi codecov

Geothermal PFA

geoPFA is an open-source Python library for conducting Play Fairway Analysis (PFA) in 2D and 3D, designed to reduce exploration risk by integrating surface and subsurface considerations into a single, transparent workflow. Built around NREL’s Geothermal PFA Best Practices and aligned with FAIR software principles, geoPFA provides modular, extensible tools for cleaning, processing, weighting, and combining diverse datasets into quantitative favorability maps. These datasets can include geological, geophysical, geochemical, and thermo-hydro-mechanical-chemical simulation results, as well as surface-level factors such as energy demand, transmission access, and natural hazard exposure.

The framework is fully customizable, enabling users to define criteria, components, and indicators for any geothermal resource type—from low-temperature and conventional hydrothermal to superhot systems—and to extend the methodology to other subsurface applications if desired. geoPFA supports multiple data processing approaches, including interpolation, density mapping, distance-based scoring, extrapolation, and thermal modeling, while allowing integration of expert-derived weightings or analytical hierarchy methods.

geoPFA has been successfully demonstrated in diverse contexts: a 3D PFA for the Nesjavellir field in Iceland, where results aligned with known subsurface conditions and guided scenario-based development strategies (Taverna et al., 2025); and 2D PFAs of the Denver Basin and Alaska for lower-enthalpy geothermal with greater emphasis on surface constraints (Davalos-Elizondo et al., 2024; in work). By making advanced exploration workflows reproducible, transparent, and openly accessible, geoPFA enables research teams, developers, and agencies to make better-informed decisions through reducing time required for developing workflows, allowing more time to be spent on feature engineering and interpretation of results.

NOTICE

Copyright © 2023 Alliance for Sustainable Energy, LLC

These data were produced by the Alliance for Sustainable Energy, LLC (Contractor) under Contract No. DE-AC36-08GO28308 with the U.S. Department of Energy (DOE). During the period of commercialization or such other time period specified by the DOE, the Government is granted for itself and others acting on its behalf a nonexclusive, paid-up, irrevocable worldwide license in this data to reproduce, prepare derivative works, and perform publicly and display publicly, by or on behalf of the Government. Subsequent to that period the Government is granted for itself and others acting on its behalf a nonexclusive, paid-up, irrevocable worldwide license in this data to reproduce, prepare derivative works, distribute copies to the public, perform publicly and display publicly, and to permit others to do so. The specific term of the license can be identified by inquiry made to the Contractor or DOE. NEITHER CONTRACTOR, THE UNITED STATES, NOR THE UNITED STATES DEPARTMENT OF ENERGY, NOR ANY OF THEIR EMPLOYEES, MAKES ANY WARRANTY, EXPRESS OR IMPLIED, OR ASSUMES ANY LEGAL LIABILITY OR RESPONSIBILITY FOR THE ACCURACY, COMPLETENESS, OR USEFULNESS OF ANY DATA, APPARATUS, PRODUCT, OR PROCESS DISCLOSED, OR REPRESENTS THAT ITS USE WOULD NOT INFRINGE PRIVATELY OWNED RIGHTS.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

geopfa-0.0.13.tar.gz (12.5 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

geopfa-0.0.13-py3-none-any.whl (67.7 kB view details)

Uploaded Python 3

File details

Details for the file geopfa-0.0.13.tar.gz.

File metadata

  • Download URL: geopfa-0.0.13.tar.gz
  • Upload date:
  • Size: 12.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.7.22

File hashes

Hashes for geopfa-0.0.13.tar.gz
Algorithm Hash digest
SHA256 afc9f507eb86bde793bcf40712ccbe2ca75f801941306a8db9d09916b1ed8472
MD5 fcee6b4aebf14429add260b9df895531
BLAKE2b-256 f1357dd389a916f3e7991f605f57d74c0ac5393d4241c328a21ae82972344d95

See more details on using hashes here.

File details

Details for the file geopfa-0.0.13-py3-none-any.whl.

File metadata

  • Download URL: geopfa-0.0.13-py3-none-any.whl
  • Upload date:
  • Size: 67.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.7.22

File hashes

Hashes for geopfa-0.0.13-py3-none-any.whl
Algorithm Hash digest
SHA256 6d2dbc81d374118117b0ccc59dce1205f9130660c889bf3c67778f1a706bfa8c
MD5 2acaef752dce46982fb83447fbb3c887
BLAKE2b-256 892fc5d5520f573810e48b4c88ecb7f31aa76ad00c6783d207fe2028a578067c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page