Evidence map›Paper›PMID 42674626›Full record

ArticleEnvironmental science & technology2026

Multi-technology Detection of Undocumented Orphaned Oil and Gas Wells: A Large-Scale Drone and Ground-Based Survey in Pennsylvania.

Jade Boutot, James L France, Margaret Coleman, Adam S Peltz, Neil Keown, Don Hegburg, David Adams, Fabio Ciulla, Sébastien C Biraud, Colton Kohnke and 10 more

Abstract read
In one paragraph

Article in Environmental science & technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Jade BoutotDepartment of Civil Engineering, McGill University, Montreal, QuebecH3A 0C3, Canada.ORCID 0000-0002-3445-5009
James L FranceDepartment of Earth Sciences, Centre of Climate, Ocean and Atmosphere, Royal Holloway, University of London, EghamTW20 0EX, England.
Margaret ColemanEnvironmental Defense Fund , New York, New York10010, United States.
Adam S PeltzEnvironmental Defense Fund , New York, New York10010, United States.
Neil KeownSawback Technologies, Calgary, AlbertaT2R 1J3, Canada.
Don HegburgPennsylvania Department of Environmental Protection, Knox, Pennsylvania16232, United States.
David AdamsPennsylvania Department of Environmental Protection, Knox, Pennsylvania16232, United States.
Fabio CiullaLawrence Berkeley National Laboratory , Berkeley, California94720, United States.ORCID 0000-0002-2637-1737
Sébastien C BiraudLawrence Berkeley National Laboratory , Berkeley, California94720, United States.ORCID 0000-0001-7697-933X
Colton KohnkeNational Energy Technology Laboratory, Pittsburgh, Pennsylvania15236, United States.
Natalie J PekneyNational Energy Technology Laboratory, Pittsburgh, Pennsylvania15236, United States.ORCID 0000-0002-3198-786X
William Hoyt ThomasDepartment of Civil Engineering, McGill University, Montreal, QuebecH3A 0C3, Canada.
Valerie Fox-CoughlinEnvironmental Defense Fund , New York, New York10010, United States.
Gloria DingDepartment of Civil Engineering, McGill University, Montreal, QuebecH3A 0C3, Canada.ORCID 0009-0000-4705-9884
Zachary MailhotDepartment of Civil Engineering, McGill University, Montreal, QuebecH3A 0C3, Canada.ORCID 0009-0004-7686-0960
Yamina BoumennaDepartment of Civil Engineering, McGill University, Montreal, QuebecH3A 0C3, Canada.
Ismot JahanLos Alamos National Laboratory , Los Alamos, New Mexico87545, United States.
Mohamed MehanaLos Alamos National Laboratory , Los Alamos, New Mexico87545, United States.ORCID 0000-0003-2472-2879
Hari ViswanathanLos Alamos National Laboratory , Los Alamos, New Mexico87545, United States.
Mary KangDepartment of Civil Engineering, McGill University, Montreal, QuebecH3A 0C3, Canada.ORCID 0000-0001-9142-384X

Funding

Bloomberg Philanthropies NAEnvironmental Defense Fund NAHillman Foundation NAMarshall Reynolds Foundation NAMcGill University NANatural Environment Research Council NE/X014649/1Natural Environment Research Council NE/Z503605/1Natural Sciences and Engineering Research Council of Canada CGS D-589443-2024Salomon Family Foundation NA
6 · The paper itself

Abstract

Hundreds of thousands of undocumented orphaned oil and gas wells are estimated to exist in the United States. These wells have no formal owner, and their locations and conditions are unknown. They pose risks to the environment, climate, human health, and safety, and they represent a potential source of methane. While drone-based magnetometry and methane surveys have been used for well detection, no study has systematically integrated these technologies with ground-based methods, multi-stakeholder coordination, and field verification into a single framework at this scale. We conducted a drone-based magnetometry survey over 12 km2 of hilly, forested terrain in Northwest Pennsylvania and identified 31 undocumented wells by regulator-led field verification, with methane emissions detected at three of the 31 wells. Several drone-identified magnetic anomalies (13%, n = 34) were revisited using ground-based magnetometers, indicating the potential presence of 15 buried undocumented wells. However, since the interpretation of both drone- and ground-based magnetometry relies on expert judgment, field verification remains necessary. The drone-based methane sensor detected elevated methane concentrations over forested areas, but emission sources could not be confidently attributed. This study presents the largest drone-based survey of its kind and introduces a multi-technology framework that integrates drone and ground-based magnetometry and methane measurements, along with regulator-led field verification, for systematically locating and evaluating undocumented orphaned wells in complex terrain.

Indexed as

Oil and Gas FieldsEnvironmental MonitoringMethanePennsylvaniaMethanedronefield verificationmagnetometrymethaneorphaned wellsremote sensingTDLASunmanned aerial systems (UAS)

Identifiers

PMID42674626
PMCPMC13524024

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.