SIMPA

Wingo, Patrick

doi:10.18141/1503876

Title: SIMPA

Dataset
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Abstract

SIMPA (Spatially Integrated Multivariate Probabilistic Assessment) is a Python-based fuzzy logic tool designed to help assess the likelihood of fluid and/or gas migration pathways throughout the subsurface. The SIMPA tool helps users develop and apply fuzzy logic to various datasets to construct knowledge-based inferential rules that reduce uncertainty and results in a visual representation depicting the likelihood of potential fluid and/or gas migration pathways. SIMPA results can offers an understanding of the magnitude and extent of natural and anthropogenic subsurface pathways, offering insight to subsurface hazards to improve storage assessments and critical information for improving industry decisions related to the use of various CCS methods and technologies. In addition, SIMPA can offer new insights for areas with little to no data to help inform site selection and production, evaluate potential risks and hazards, and support various decision making and risk management needs.

Authors:: Wingo, Patrick

Publication Date:: Fri Mar 29 00:00:00 EDT 2019

Other Number(s):: d0fb641e-d16b-46f2-b0b3-7a3b186fdac8

DOE Contract Number:: 1022403

Research Org.:: National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States). Energy Data eXchange; National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV (United States)

Sponsoring Org.:: USDOE Office of Fossil Energy (FE)

Keywords:: carbon storage; fluid migration; fuzzy logic; model; simpa; subsurface

OSTI Identifier:: 1503876

DOI:: https://doi.org/10.18141/1503876

Citation Formats


                    Wingo, Patrick. SIMPA.  United States: N. p., 2019. 
        Web.  doi:10.18141/1503876.

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                    Wingo, Patrick. SIMPA.  United States.  doi:https://doi.org/10.18141/1503876

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                    Wingo, Patrick. 2019.  
"SIMPA".  United States.  doi:https://doi.org/10.18141/1503876.  https://www.osti.gov/servlets/purl/1503876. Pub date:Fri Mar 29 00:00:00 EDT 2019

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@article{osti_1503876,

  title        = {SIMPA},

  author       = {Wingo, Patrick},

  abstractNote = {SIMPA (Spatially Integrated Multivariate Probabilistic Assessment) is a Python-based fuzzy logic tool designed to help assess the likelihood of fluid and/or gas migration pathways throughout the subsurface. The SIMPA tool helps users develop and apply fuzzy logic to various datasets to construct knowledge-based inferential rules that reduce uncertainty and results in a visual representation depicting the likelihood of potential fluid and/or gas migration pathways. SIMPA results can offers an understanding of the magnitude and extent of natural and anthropogenic subsurface pathways, offering insight to subsurface hazards to improve storage assessments and critical information for improving industry decisions related to the use of various CCS methods and technologies. In addition, SIMPA can offer new insights for areas with little to no data to help inform site selection and production, evaluate potential risks and hazards, and support various decision making and risk management needs.},

  doi          = {10.18141/1503876},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Fri Mar 29 00:00:00 EDT 2019},

  month        = {Fri Mar 29 00:00:00 EDT 2019}

}

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DOI: https://doi.org/10.18141/1503876

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