2026-11-01T02:44:30Z https://oai.datacite.org/oai

doi:10.13127/methane/met_ahw-it 2026-04-30T08:05:08Z WNGN CRUI.INGV

0 CRUI.INGV 10.13127/METHANE/MET_AHW-IT Procesi, Monia Monia Procesi https://orcid.org/0000-0003-0029-5235 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Etiope, Giuseppe Giuseppe Etiope https://orcid.org/0000-0001-8614-4221 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Istituto Nazionale di Geofisica e Vulcanologia (INGV) 2025 Measurements of methane emissions from abandoned hydrocarbon wells in Italy Methane emissions Abandoned hydrocarbon wells Methane flux measurements Ciotoli, Giancarlo Giancarlo Ciotoli https://orcid.org/0000-0002-9496-3021 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Martinelli, Giovanni Giovanni Martinelli https://orcid.org/0000-0001-9541-5142 Istituto Nazionale di Geofisica e Vulcanologia (INGV) Moroni, Monica Monica Moroni https://orcid.org/0000-0001-6982-4989 Sapienza University of Rome (Uni Sapienza) Kang, Mary Mary Kang https://orcid.org/0000-0001-9142-384X McGill University Istituto Nazionale di Geofisica e Vulcanologia (INGV) https://ror.org/00qps9a02 2022-01-01/2024-12-31 2022-01-01/2024-12-31 2025 2025 en 10.4401/ag-3179 https://data.ingv.it/metadata/iso19115/10.13127/methane/met_ahw-it.xml 19 records application/vnd.geo+json application/vnd.openxmlformats-officedocument.spreadsheetml.sheet Open Access Creative Commons Attribution 4.0 International The MET_AHW-IT dataset contains structured and site-specific information on methane emissions from abandoned hydrocarbon wells (AHW) in Italy. Each record includes attributes describing well identity (name and geographic setting), drilling period, abandonment status (plugged/unplugged), and resource type (gas, oil, or mixed oil–gas). The primary quantitative data consist of methane emission rates expressed as annual, daily and hourly mass fluxes (t CH₄ yr⁻¹; kg CH₄ d⁻¹), covering a wide dynamic range from non-detectable emissions to very high emitters. A subset of the sampled wells are listed in the AHW-IT_Procesi et al. (2026) dataset, which compiles an inventory of abandoned hydrocarbon wells in Italy. This inventory has been developed based on the ViDEPI dataset, applying selection criteria defined by the authors. The AHWs have different structural configurations (e.g., buried, partially plugged with small leaking fissures, completely unplugged, or equipped with long vertical pipes above ground). Consequently, multiple techniques were employed for gas flux measurements, including: (a) accumultion-chamber system with laser methane sensor; (b) digital flowmeters calibrated for CH4; (c) optical methane infrared-red (IR) camera and optical flow (OF) based technique velocity reconstruction; (d) flux derivation by water-displacement system. The MET_AHW-IT dataset consists of point-based observational data describing methane emission rates from abandoned hydrocarbon wells in Italy. Each record includes well identifiers, geographic coordinates, drilling period, abandonment status (plugged/unplugged), resource type (gas, oil, or mixed), and quantitative methane flux values expressed in mass units (t CH₄ yr⁻¹; kg CH₄ d⁻¹), including non-detect cases. Data are organized in tabular format, one row per well. Italy AHWIT1 44.8009 9.684 AHWIT2 44.045 11.6415 AHWIT3 44.7468 10.0982 AHWIT4 44.8804 11.049 AHWIT5 42.085 12.593 AHWIT6 44.8043 9.6991 AHWIT7 44.8204 9.7007 AHWIT8 44.803 9.6941 AHWIT9 44.8035 9.6948 AHWIT10 44.8029 9.6953 AHWIT11 44.8029 9.6964 AHWIT12 44.8019 9.6982 AHWIT13 44.802 9.6898 AHWIT14 44.8006 9.6841 AHWIT15 42.1955 13.9105 AHWIT16 42.1906 13.9151 AHWIT17 41.5929 13.4395 AHWIT18 41.5929 13.4396 AHWIT19 41.5833 13.4439 AHWIT20 40.3239 15.7606 Italy 6.5 18.6 35.4 47.2 Ministero dell'Università e della Ricerca (MUR) https://doi.org/10.13039/501100003407 Pianeta Dinamico: Geoscienze per la comprensione dei meccanismi di funzionamento della Terra e dei conseguenti rischi naturali McGill University https://doi.org/10.13039/100008582 GAME - Global Analysis of Methane Emissions from Abandoned Oil and Gas Wells