IDEAS home Printed from https://ideas.repec.org/a/wly/riskan/v32y2012i8p1382-1393.html
   My bibliography  Save this article

Water Pollution Risk Associated with Natural Gas Extraction from the Marcellus Shale

Author

Listed:
  • Daniel J. Rozell
  • Sheldon J. Reaven

Abstract

In recent years, shale gas formations have become economically viable through the use of horizontal drilling and hydraulic fracturing. These techniques carry potential environmental risk due to their high water use and substantial risk for water pollution. Using probability bounds analysis, we assessed the likelihood of water contamination from natural gas extraction in the Marcellus Shale. Probability bounds analysis is well suited when data are sparse and parameters highly uncertain. The study model identified five pathways of water contamination: transportation spills, well casing leaks, leaks through fractured rock, drilling site discharge, and wastewater disposal. Probability boxes were generated for each pathway. The potential contamination risk and epistemic uncertainty associated with hydraulic fracturing wastewater disposal was several orders of magnitude larger than the other pathways. Even in a best‐case scenario, it was very likely that an individual well would release at least 200 m3 of contaminated fluids. Because the total number of wells in the Marcellus Shale region could range into the tens of thousands, this substantial potential risk suggested that additional steps be taken to reduce the potential for contaminated fluid leaks. To reduce the considerable epistemic uncertainty, more data should be collected on the ability of industrial and municipal wastewater treatment facilities to remove contaminants from used hydraulic fracturing fluid.

Suggested Citation

  • Daniel J. Rozell & Sheldon J. Reaven, 2012. "Water Pollution Risk Associated with Natural Gas Extraction from the Marcellus Shale," Risk Analysis, John Wiley & Sons, vol. 32(8), pages 1382-1393, August.
  • Handle: RePEc:wly:riskan:v:32:y:2012:i:8:p:1382-1393
    DOI: 10.1111/j.1539-6924.2011.01757.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1539-6924.2011.01757.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1539-6924.2011.01757.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Per Sander & Bo Bergbäck & Tomas Öberg, 2006. "Uncertain Numbers and Uncertainty in the Selection of Input Distributions—Consequences for a Probabilistic Risk Assessment of Contaminated Land," Risk Analysis, John Wiley & Sons, vol. 26(5), pages 1363-1375, October.
    2. Durga Rao Karanki & Hari Shankar Kushwaha & Ajit Kumar Verma & Srividya Ajit, 2009. "Uncertainty Analysis Based on Probability Bounds (P‐Box) Approach in Probabilistic Safety Assessment," Risk Analysis, John Wiley & Sons, vol. 29(5), pages 662-675, May.
    3. Hilko Van Der Voet & Wout Slob, 2007. "Integration of Probabilistic Exposure Assessment and Probabilistic Hazard Characterization," Risk Analysis, John Wiley & Sons, vol. 27(2), pages 351-371, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Malin, Stephanie A. & Mayer, Adam & Crooks, James L. & McKenzie, Lisa & Peel, Jennifer L. & Adgate, John L., 2019. "Putting on partisan glasses: Political identity, quality of life, and oil and gas production in Colorado," Energy Policy, Elsevier, vol. 129(C), pages 738-748.
    2. Noura Abualfaraj & Patrick L. Gurian & Mira S. Olson, 2018. "Assessing Residential Exposure Risk from Spills of Flowback Water from Marcellus Shale Hydraulic Fracturing Activity," IJERPH, MDPI, vol. 15(4), pages 1-25, April.
    3. Noura Abualfaraj & Patrick L. Gurian & Mira S. Olson, 2018. "Frequency Analysis of Failure Scenarios from Shale Gas Development," IJERPH, MDPI, vol. 15(5), pages 1-13, April.
    4. Ilia Murtazashvili & Ennio E. Piano, 2019. "Governance of shale gas development: Insights from the Bloomington school of institutional analysis," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 32(2), pages 159-179, June.
    5. Klaudia Wilk, 2019. "Experimental and Simulation Studies of Energized Fracturing Fluid Efficiency in Tight Gas Formations," Energies, MDPI, vol. 12(23), pages 1-17, November.
    6. Zuo, Na & Schieffer, Jack & Buck, Steven, 2019. "The effect of the oil and gas boom on schooling decisions in the U.S," Resource and Energy Economics, Elsevier, vol. 55(C), pages 1-23.
    7. Karen Maguire & John V. Winters, 2017. "Energy Boom and Gloom? Local Effects of Oil and Natural Gas Drilling on Subjective Well†Being," Growth and Change, Wiley Blackwell, vol. 48(4), pages 590-610, December.
    8. Lenhard, L.G. & Andersen, S.M. & Coimbra-Araújo, C.H., 2018. "Energy-Environmental Implications Of Shale Gas Exploration In Paraná Hydrological Basin, Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 56-69.
    9. Shannon English & Joonghyeok Heo & Jaewoong Won, 2020. "Investigation of Sinkhole Formation with Human Influence: A Case Study from Wink Sink in Winkler County, Texas," Sustainability, MDPI, vol. 12(9), pages 1-13, April.
    10. Yulong Yang & Han Liu & Weixuan Mao & Zhaojie Song & Haizhu Wang, 2020. "Study on the Impact Pressure of Swirling-Round Supercritical CO 2 Jet Flow and Its Influencing Factors," Energies, MDPI, vol. 14(1), pages 1-15, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yakov Ben‐Haim, 2012. "Doing Our Best: Optimization and the Management of Risk," Risk Analysis, John Wiley & Sons, vol. 32(8), pages 1326-1332, August.
    2. Monika Filipsson & Tomas Öberg & Bo Bergbäck, 2011. "Variability and Uncertainty in Swedish Exposure Factors for Use in Quantitative Exposure Assessments," Risk Analysis, John Wiley & Sons, vol. 31(1), pages 108-119, January.
    3. Jin‐Feng Wang & Lian‐Fa Li, 2008. "Improving Tsunami Warning Systems with Remote Sensing and Geographical Information System Input," Risk Analysis, John Wiley & Sons, vol. 28(6), pages 1653-1668, December.
    4. He, Rui & Zhu, Jingyu & Chen, Guoming & Tian, Zhigang, 2022. "A real-time probabilistic risk assessment method for the petrochemical industry based on data monitoring," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    5. Lyda Zambrano & Kerry Sublette & Kathleen Duncan & Greg Thoma, 2007. "Probabilistic Reliability Modeling for Oil Exploration & Production (E&P) Facilities in the Tallgrass Prairie Preserve," Risk Analysis, John Wiley & Sons, vol. 27(5), pages 1323-1333, October.
    6. Tu Duong Le Duy & Laurence Dieulle & Dominique Vasseur & Christophe Bérenguer & Mathieu Couplet, 2013. "An alternative comprehensive framework using belief functions for parameter and model uncertainty analysis in nuclear probabilistic risk assessment applications," Journal of Risk and Reliability, , vol. 227(5), pages 471-490, October.
    7. Wouter Fransman & Harrie Buist & Eelco Kuijpers & Tobias Walser & David Meyer & Esther Zondervan‐van den Beuken & Joost Westerhout & Rinke H. Klein Entink & Derk H. Brouwer, 2017. "Comparative Human Health Impact Assessment of Engineered Nanomaterials in the Framework of Life Cycle Assessment," Risk Analysis, John Wiley & Sons, vol. 37(7), pages 1358-1374, July.
    8. Muhammad Sarfraz Iqbal & Tomas Öberg, 2013. "Description and Propagation of Uncertainty in Input Parameters in Environmental Fate Models," Risk Analysis, John Wiley & Sons, vol. 33(7), pages 1353-1366, July.
    9. Hu, Lunhu & Kang, Rui & Pan, Xing & Zuo, Dujun, 2020. "Risk assessment of uncertain random system—Level-1 and level-2 joint propagation of uncertainty and probability in fault tree analysis," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    10. Roger Flage & Piero Baraldi & Enrico Zio & Terje Aven, 2013. "Probability and Possibility‐Based Representations of Uncertainty in Fault Tree Analysis," Risk Analysis, John Wiley & Sons, vol. 33(1), pages 121-133, January.
    11. Nicola Pedroni & Enrico Zio & Alberto Pasanisi & Mathieu Couplet, 2017. "A critical discussion and practical recommendations on some issues relevant to the non-probabilistic treatment of uncertainty in engineering risk assessment," Post-Print hal-01652230, HAL.
    12. Martí Nadal & Vikas Kumar & Marta Schuhmacher & José L. Domingo, 2008. "Applicability of a Neuroprobabilistic Integral Risk Index for the Environmental Management of Polluted Areas: A Case Study," Risk Analysis, John Wiley & Sons, vol. 28(2), pages 271-286, April.
    13. Fan Yang & Zhufeng Yue & Lei Li & Dong Guan, 2018. "Hybrid reliability-based multidisciplinary design optimization with random and interval variables," Journal of Risk and Reliability, , vol. 232(1), pages 52-64, February.
    14. Nicola Pedroni & Enrico Zio & Alberto Pasanisi & Mathieu Couplet, 2017. "A Critical Discussion and Practical Recommendations on Some Issues Relevant to the Nonprobabilistic Treatment of Uncertainty in Engineering Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 37(7), pages 1315-1340, July.
    15. Roger Flage & Terje Aven & Enrico Zio & Piero Baraldi, 2014. "Concerns, Challenges, and Directions of Development for the Issue of Representing Uncertainty in Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 34(7), pages 1196-1207, July.
    16. Wout Slob & Martine I. Bakker & Jan Dirk te Biesebeek & Bas G. H. Bokkers, 2014. "Exploring the Uncertainties in Cancer Risk Assessment Using the Integrated Probabilistic Risk Assessment (IPRA) Approach," Risk Analysis, John Wiley & Sons, vol. 34(8), pages 1401-1422, August.
    17. McKeand, Austin M. & Gorguluarslan, Recep M. & Choi, Seung-Kyum, 2021. "Stochastic analysis and validation under aleatory and epistemic uncertainties," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    18. Guanghui Guo & Degang Zhang & Yuntao Wang, 2019. "Probabilistic Human Health Risk Assessment of Heavy Metal Intake via Vegetable Consumption around Pb/Zn Smelters in Southwest China," IJERPH, MDPI, vol. 16(18), pages 1-17, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:riskan:v:32:y:2012:i:8:p:1382-1393. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1539-6924 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.