Methane and hydrogen sulfide emissions and environmental impacts of oil and gas wells: Field measurements and data analysis
Notice bibliographique
Résumé
Oil and gas wells (OGWs) around the world can leak methane (CH4), a potent greenhouse gas, and hydrogen sulfide (H2S), a highly toxic gas. OGW leakage can contaminate groundwater resources and/or cause emissions. Measurements of OGW emissions at the surface have been used to test for and understand OGW leakage; however, measurements have been limited. Therefore, we reviewed literature to identify factors linked to OGW leakage and conducted field measurements to better understand OGW leakage and the associated CH4 and H2S emissions and environmental impacts. First, focusing on Canada and the US, we reviewed published literature to evaluate factors affecting leakage of active (producing) and abandoned (non-producing) OGWs, studies quantifying OGW CH4 emissions, and leakage repair and emission reduction options. Thirty-eight (38) factors were reviewed, of which 15 (39%) were found to have a consistent impact on OGW leakage, including geographic location and plugging status. In terms of CH4 emissions from OGWs, we identified major gaps in the geographical distribution of well scale measurements that can be used to study factors affecting leakage. We found that only 13 studies in two provinces and nine states quantified these emissions at the well scale. This shows the need for additional measurements given the high influence geography has on OGW leakage.Then we conducted direct measurements of CH4 and H2S emissions from 63 gas wells in Ontario, Canada, a historical oil and gas-producing region that has been understudied. We found that CH4 emission rates varied by well status, where unplugged wells emitted the most CH4 at an average rate of 10,100 mg CH4/hour/well, in line with the 10,000 mg CH4/hour/well used in Canada’s greenhouse gas inventory. Importantly, we found that CH4 emissions from abandoned plugged wells are underestimated by a factor of 920 in Canada’s greenhouse gas inventory. We found positive H2S emissions at 3 wells and discovered that H2S emitting wells are high CH4 emitters. H2S emissions, not included in the Canadian Air Pollutant Emissions Inventory, averaged 160 mg H2S/hour/well. The H2S emitting wells have led to emissions exceeding safety levels, resulting in evacuations of nearby residents in 2017 in Norfolk county, Ontario. We then developed a more comprehensive approach to evaluate the interrelated environmental impacts of OGW leakage. We conducted well and soil emission rate measurements from wells in Ontario and Quebec, mapped OGWs in urban and built-up areas and estimated CH4 and H2S emissions from an OGW-linked explosion in Ontario. We investigated the variation in soil emission rates in proximity to OGWs, considering both soil and meteorological parameters and distance to the well. We identified 7,264 and 161 OGWs that pose an increased explosion risks in Ontario and Quebec, respectively. For the Ontario explosion, we estimated average CH4 emissions of 10.5 kg/hour and H2S emissions 4 times larger than the largest published H2S emission rate from an abandoned well. In Quebec, well CH4 emissions were lower on average, ranging from -16 to 205 mg CH4/hour/well. For soil emissions, we found that they average 90 mg CH4/hour/well in Ontario and are influenced by distance from the well and soil and meteorological parameters. In our last study, looking across Canada, we conducted measurements of H2S emissions from abandoned oil and gas wells (AOGWs) and identified national H2S occurrence trends. For Alberta, we conducted a geospatial analysis on sour well and pool H2S content, where sour wells are defined as wells with any signs of H2S on Alberta’s Sour Gas Well List. We found that H2S emissions varied by well plugging status with the possibility of plugged wells having higher emissions than unplugged ones. In Alberta we found positive H2S detections from sour and non-sour wells, as defined on Alberta’s Sour Gas Well List, and did not detect H2S from wells overlapping sour pools. Our results indicated high variability between H2S emissions and well and pool H2S content, highlighting individual well measurements as key to estimating H2S emissions. Overall, this thesis presents valuable data and measurements of CH4 and H2S emissions from OGWs in Canada, with a focus on AOGWs. Through our analysis we improve our understanding of OGW leakage and factors affecting it. The inclusion of our data in greenhouse gas and air pollutant inventories allows for reductions in emission uncertainties and better representation of emissions from OGWs in Canada. Our results inform the design of effective leakage mitigation strategies such as those that target highly leaky wells and provide insight into broad environmental risks from explosions to air pollution
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,005 | 0,012 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».