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Enregistrement W386108676 · doi:10.2118/166146-pa

Environmental Regulation of Hydraulic Fracturing

2015· article· en· W386108676 sur OpenAlexaboutno aff
David Campin

Notice bibliographique

RevueSPE Production & Operations · 2015
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueAtmospheric and Environmental Gas Dynamics
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésHydraulic fracturingLiberian dollarScrutinyPetroleum engineeringScope (computer science)EngineeringDirectional drillingCoalbed methaneBusinessNatural resourceGovernment (linguistics)Natural resource economicsPosition (finance)State (computer science)EconomyCoalEconomicsCoal miningPolitical scienceFinanceDrillingWaste management

Résumé

récupéré en direct d'OpenAlex

Summary Since the late 1990s, coalbed methane (CBM) has grown to be a significant part of the economy of the State of Queensland, Australia, building alongside world-scale coal-export operations. Environmental regulation in Queensland over the same period has evolved, with petroleum activities following a unified mineral rights/land tenure and environmental permitting process, particularly in respect to the impacts related to the spatial extent of CBM-basin developments. Following the announcements in 2008 of a number of multibillion-dollar liquefied-natural-gas-export projects, with industry estimates approaching 30,000 wells, attention by interest groups and the public at large gave rise to increased scrutiny by regulators of the scope of prevailing rules. In respect to the application of hydraulic fracturing, the CBM sector has indicated a likelihood of fracturing up to 40% of wells. A number of shale resources and tight gas basins are also under exploration in Queensland, with horizontal completions. Thus, the State can expect a significant rise in the application of stimulation technology. The unconventional-resources sector in Australia is somewhat different from that in North America, with the absence of a third-party pipeline sector, the result being few major producers with their own pipeline networks and speculative minors. As a result of this industry structure of relatively few operators, permitting has been project-based rather than sector-based, resulting in older approvals having conditions inconsistent with modern expectations. The State Government has moved to amend this position by developing more-performance-focused codes in respect to new hydraulic-fracturing programs. It has also moved toward greater emphasis on compliance activities. This paper examines a wide range of environmental issues related to hydraulic fracturing, including those potentially affecting groundwaters, surface waters, landforms and geology, biodiversity, the atmosphere, and community, drawing examples from Queensland and elsewhere. In respect to environmental regulation of hydraulic fracturing, a single, risk-based comprehensive code is proposed that encompasses the use of stimulation across all energy sources and fluid systems—conventional oil and gas, CBM, unconventional oil and gas, and geothermal. Fundamental to the approach is a comprehensive risk assessment, considering a wide range of issues at local and regional scales. Permit conditions will target pre-event disclosure requirements, engineering constraints, environmental-protection measures, product accreditation, process monitoring, and post-event reporting. Disclosure of products is required under petroleum and gas legislation, but this new approach will require product accreditation under an international standard that encompasses contaminant-concentration limits, human toxicology, and ecotoxicology. Evidence supporting code development includes consideration of environmental issues in Queensland, detailed review of hydraulic-fracturing studies, and reviews of petroleum-engineering risks. A detailed legislative review was completed that considers rules from 55 jurisdictions (including Australia, the US, Canada, Brazil, the UK and Scotland, France, and South Africa) across 59 identified regulatory matters. The following general principles and practices have been proposed to underpin the revised code to minimize the likelihood of adverse impacts from hydraulic fracturing: Detailed understanding of the local stratigraphy, including aquifers, faults, linear features, hydraulic conductivity, porosity, seismic risk, and groundwater-dependent assets Detailed engineering understanding of the impacts of applied stresses, including aquifer drawdown, on connectivity to aquifers above and below the fractured zone subsequent to the hydraulic-fracturing activity To require the presence of vertically impermeable formations between the fractured zone and other aquifers To require installation of a multibarrier casing string that isolates aquifers from hydrocarbon-bearing formations and, with current certification, demonstrates internal and external mechanical integrity To ensure injected fluids have low toxicity, contain no persistent bioaccumulating constituents, and are accredited for use under an international standard For the operator to apply advanced process control that incorporates real-time analysis, fracture modeling, and formation understanding by use of techniques such as microseismic measurements, as required, to assist in the early development of the resource and to address identified environmental risk over the life of the project To initiate and maintain a high level of meaningful communication with adjacent groundwater users, near neighbors, government, and the public in general This paper presents information supporting the chain of evidence leading to a revision of the Queensland regulations that is expected to be completed and approved in 2015, following industry and public consultation.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,715
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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.

Tête enseignante Opus0,011
Tête enseignante GPT0,209
Écart entre enseignants0,198 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations7
Publié2015
Routes d'admission1
Résumé présentoui

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