Literature DB >> 25768798

Effective permeabilities of abandoned oil and gas wells: analysis of data from Pennsylvania.

Mary Kang1,2, Ejeong Baik1, Alana R Miller1, Karl W Bandilla1, Michael A Celia1.   

Abstract

Abandoned oil and gas (AOG) wells can provide pathways for subsurface fluid migration, which can lead to groundwater contamination and gas emissions to the atmosphere. Little is known about the millions of AOG wells in the U.S. and abroad. Recently, we acquired data on methane emissions from 42 plugged and unplugged AOG wells in five different counties across western Pennsylvania. We used historical documents to estimate well depths and used these depths with the emissions data to estimate the wells' effective permeabilities, which capture the combined effects of all leakage pathways within and around the wellbores. We find effective permeabilities to range from 10(-6) to 10(2) millidarcies, which are within the range of previous estimates. The effective permeability data presented here provide perspective on older AOG wells and are valuable when considering the leakage potential of AOG wells in a wide range of applications, including geologic storage of carbon dioxide, natural gas storage, and oil and gas development.

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Year:  2015        PMID: 25768798     DOI: 10.1021/acs.est.5b00132

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  3 in total

1.  Salinity of deep groundwater in California: Water quantity, quality, and protection.

Authors:  Mary Kang; Robert B Jackson
Journal:  Proc Natl Acad Sci U S A       Date:  2016-06-27       Impact factor: 11.205

2.  Identification and characterization of high methane-emitting abandoned oil and gas wells.

Authors:  Mary Kang; Shanna Christian; Michael A Celia; Denise L Mauzerall; Markus Bill; Alana R Miller; Yuheng Chen; Mark E Conrad; Thomas H Darrah; Robert B Jackson
Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-14       Impact factor: 11.205

Review 3.  Toward Consistent Methodology to Quantify Populations in Proximity to Oil and Gas Development: A National Spatial Analysis and Review.

Authors:  Eliza D Czolowski; Renee L Santoro; Tanja Srebotnjak; Seth B C Shonkoff
Journal:  Environ Health Perspect       Date:  2017-08-23       Impact factor: 9.031

  3 in total

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