Proactive management of the economic and environmental impacts of a proposed oil sands mine in Nigeria from the pre-mining phase.
Notice bibliographique
Résumé
The mining industry may have adverse impacts on the environment, ecosystems, ecosystem services and the society, all of which are essential to human well-being.The industry has understood that obtaining a formal license to operate from governments, meeting regulatory requirements is no longer enough, and in order to reduce risks for the stakeholders, a social license to operate needs to be obtained.Although impact of mining activities is experienced throughout the life of mine, pre-mining phase was considered in this research because it determines the relationship of the mining industries with the community.Despite the vast abundance of oil sands resources in Nigeria, an economic analysis is yet to be carried out to evaluate the feasibility of a mining operation at different production scales.Most importantly, this resource is associated with natural contamination referred to as bituminous natural effects.Therefore, mining is not only perceived to be an opportunity for both social-economic improvement by the local communities but also as an efficient approach to reduce exposure to bitumen fumes.To address these issues, this research aimed to carry out a pro-active study on some oil sands deposit communities in Nigeria.The methodology used include appraisal of questionnaire to the communities involved, applying an existing methodology of ecosystem services to the oil sands deposits located in Ondo State, Nigeria, modelling of the oil sands resource considering three mining scenarios taking into account synthetic crude oil, bitumen and tar production.A preliminary economic assessment and a sensitivity analysis was also carried out for three different production scales.The results of the research include an evaluation of the social license to operate locally; assessment of the impacts of pre-mining activities on the ecosystem services; and a preliminary economic assessment of three types of oil sands mining operations.The conclusions indicate that the challenges faced by a mining company can be managed if proper measures are taken and if the mining company communicates transparently with the community; in addition mining is perceived as a practical solution to the bituminous natural effects.Also, the ecosystem service assessment was proven to be an appropriate approach for mitigating impacts of pre-mining activities on ecosystem services.There will be opportunities for a public policy with minimum price guarantee so that small-scale mining of oil sands will be able to operate profitably and will help to solve the regional problem of untarred/unpaved roads.This will bring both economic and environmental benefits to both the local communities and the Nigerian government and it can represent an important driver for transformation to sustainability in the region.
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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».