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A decision-analytic approach to predict state regulation of hydraulic fracturing

BACKGROUND: The development of horizontal drilling and hydraulic fracturing methods has dramatically increased the potential for the extraction of previously unrecoverable natural gas. Nonetheless, the potential risks and hazards associated with such technologies are not without controversy and are...

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Autores principales: Linkov, Igor, Trump, Benjamin, Jin, David, Mazurczak, Marcin, Schreurs, Miranda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5044944/
https://www.ncbi.nlm.nih.gov/pubmed/27752418
http://dx.doi.org/10.1186/s12302-014-0020-7
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author Linkov, Igor
Trump, Benjamin
Jin, David
Mazurczak, Marcin
Schreurs, Miranda
author_facet Linkov, Igor
Trump, Benjamin
Jin, David
Mazurczak, Marcin
Schreurs, Miranda
author_sort Linkov, Igor
collection PubMed
description BACKGROUND: The development of horizontal drilling and hydraulic fracturing methods has dramatically increased the potential for the extraction of previously unrecoverable natural gas. Nonetheless, the potential risks and hazards associated with such technologies are not without controversy and are compounded by frequently changing information and an uncertain landscape of international politics and laws. Where each nation has its own energy policies and laws, predicting how a state with natural gas reserves that require hydraulic fracturing will regulate the industry is of paramount importance for potential developers and extractors. We present a method for predicting hydraulic fracturing decisions using multiple-criteria decision analysis. The case study evaluates the decisions of five hypothetical countries with differing political, social, environmental, and economic priorities, choosing among four policy alternatives: open hydraulic fracturing, limited hydraulic fracturing, completely banned hydraulic fracturing, and a cap and trade program. RESULTS: The result is a model that identifies the preferred policy alternative for each archetypal country and demonstrates the sensitivity the decision to particular metrics. Armed with such information, observers can predict each country’s likely decisions related to natural gas exploration as more data become available or political situations change. CONCLUSIONS: Decision analysis provides a method to manage uncertainty and address forecasting concerns where rich and objective data may be lacking. For the case of hydraulic fracturing, the various political pressures and extreme uncertainty regarding the technology’s risks and benefits serve as a prime platform to demonstrate how decision analysis can be used to predict future behaviors.
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spelling pubmed-50449442016-10-15 A decision-analytic approach to predict state regulation of hydraulic fracturing Linkov, Igor Trump, Benjamin Jin, David Mazurczak, Marcin Schreurs, Miranda Environ Sci Eur Research BACKGROUND: The development of horizontal drilling and hydraulic fracturing methods has dramatically increased the potential for the extraction of previously unrecoverable natural gas. Nonetheless, the potential risks and hazards associated with such technologies are not without controversy and are compounded by frequently changing information and an uncertain landscape of international politics and laws. Where each nation has its own energy policies and laws, predicting how a state with natural gas reserves that require hydraulic fracturing will regulate the industry is of paramount importance for potential developers and extractors. We present a method for predicting hydraulic fracturing decisions using multiple-criteria decision analysis. The case study evaluates the decisions of five hypothetical countries with differing political, social, environmental, and economic priorities, choosing among four policy alternatives: open hydraulic fracturing, limited hydraulic fracturing, completely banned hydraulic fracturing, and a cap and trade program. RESULTS: The result is a model that identifies the preferred policy alternative for each archetypal country and demonstrates the sensitivity the decision to particular metrics. Armed with such information, observers can predict each country’s likely decisions related to natural gas exploration as more data become available or political situations change. CONCLUSIONS: Decision analysis provides a method to manage uncertainty and address forecasting concerns where rich and objective data may be lacking. For the case of hydraulic fracturing, the various political pressures and extreme uncertainty regarding the technology’s risks and benefits serve as a prime platform to demonstrate how decision analysis can be used to predict future behaviors. Springer Berlin Heidelberg 2014-08-02 2014 /pmc/articles/PMC5044944/ /pubmed/27752418 http://dx.doi.org/10.1186/s12302-014-0020-7 Text en © Linkov et al.; licensee Springer 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Research
Linkov, Igor
Trump, Benjamin
Jin, David
Mazurczak, Marcin
Schreurs, Miranda
A decision-analytic approach to predict state regulation of hydraulic fracturing
title A decision-analytic approach to predict state regulation of hydraulic fracturing
title_full A decision-analytic approach to predict state regulation of hydraulic fracturing
title_fullStr A decision-analytic approach to predict state regulation of hydraulic fracturing
title_full_unstemmed A decision-analytic approach to predict state regulation of hydraulic fracturing
title_short A decision-analytic approach to predict state regulation of hydraulic fracturing
title_sort decision-analytic approach to predict state regulation of hydraulic fracturing
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5044944/
https://www.ncbi.nlm.nih.gov/pubmed/27752418
http://dx.doi.org/10.1186/s12302-014-0020-7
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