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Enregistrement W2082391305 · doi:10.2118/68583-ms

Assessing Environmental Impact on Project Profitability

2001· article· en· W2082391305 sur OpenAlexaboutno aff
I. S. Agbon

Notice bibliographique

RevueAll Days · 2001
Typearticle
Langueen
DomaineEngineering
ThématiqueReservoir Engineering and Simulation Methods
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésProfitability indexShareholderBusinessRevenueFinanceRate of returnExternalityStakeholderNatural resource economicsEnvironmental economicsEconomicsCorporate governance

Résumé

récupéré en direct d'OpenAlex

Abstract There are four major stakeholders in the oil and gas production process. These are the oil companies, the shareholders, the society and the host communities. The cost of protecting and reclaiming the environment has different impacts on the financial conditions of each of these stakeholders. Each stakeholder therefore has its unique economic perspective defined by its minimum rate of return and its view of project profitability. For a win-win situation for all stakeholders, the project must be profitable from the unique point of view of each of the stakeholders. In the past, emphasis was placed only on the perspectives of the oil companies and the shareholders. Economic models captured environmental costs as economic externalities that increased project operational and salvage costs, thus decreasing company profitability and shareholders’ dividend payments. But, the devastating impact of environmental pollution of the finances of the inhabitants of the host communities is now being recognized. The host communities need the regenerative capacity of the environment to maintain basic farming and fishing activities needed for their survival. The society, represented by the national government, suffer revenue loss in the face of oil pollution. This paper develops a model that captures project profitability from the four perspectives. The perspective of the oil companies uses the cost of borrowing capital as its absolute minimum rate for determining profitability while that of the shareholder uses the bank (saving) rate of return as an absolute minimum. For the society, the absolute minimum rate of return must capture the replacement of oil and gas as wasting assets. In the case of the host communities, this absolute minimum rate must encompass the replacement of income generating capacity lost due to environmental pollution as well as the cost of maintaining the economic regenerative capacity of the environment. The paper concludes that for a project to be profitable, it must meet the profitability criteria from these four perspectives. The profitability of projects from the perspectives of the society and host communities is the critical test for environmentally friendly oil and gas operations. Introduction Pollutants generated during oil and gas operations include produced formation water, drilling fluids, drilling cuttings, CO, SOx, NOx, particulates, oil leaks, oil spills, deck drainage, heat, noise, produced sands and all kinds of solid waste. These pollutants have a negative impact on the environment. Air, water and land have a lot of use value but little or no exchange value. In their natural state, they are often treated as free goods with no market value because of their abundance. Therefore, the costs of the pollution is often passed on to the society.1 The resulting outcry by environmental groups and non-governmental organizations encouraged many national governments to enact laws that protected the air, water and environmental quality as well as define and constrain the handling and disposal of hazardous waste.2 The oil companies treated the cost of meeting the new environmental laws as externalities and passed them on to the consumers. In 1990, externalities were estimated at 12%, 25% and 45% of the existing natural gas, oil and coal plants respectively.3 Some state regulatory commissions in USA and Canada now require that environmental externalities be incorporated into conventional resource selection, planning and decision making processes. This paper presents an approach of incorporating environmental impacts into conventional project economic models used in decision making in oil and gas operations. The new approach encompasses the costs and benefits to the major stakeholders in the process. The profitability of an investment opportunity is evaluated from the perspective of each major stakeholder. The opportunities that are profitable from all perspectives are screened out before they are ranked. This ensures that only the opportunities that are environmentally friendly are utilized.

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 candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,221
Score d'incertitude au seuil0,462

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)0,0000,000

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 Opus0,043
Tête enseignante GPT0,344
Écart entre enseignants0,301 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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

Citations0
Publié2001
Routes d'admission1
Résumé présentoui

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