Understanding Nature Related Challenges and Opportunities in O&G Company
Notice bibliographique
Résumé
Abstract It is increasingly recognized that companies need to accelerate actions to halt and reverse the loss of nature and contribute to nature positive. In 2022, the "Kunming-Montreal Global Biodiversity Framework (GBF)" was adopted during the fifteenth meeting of the Conference of the Parties (COP15), and nature-related initiatives such as the TNFD Framework have been published. INPEX recognizes the importance of addressing the increasingly diverse global environmental issues connected to our business activities, including climate change, biodiversity, water, and waste management. In INPEX, six of the seven core sustainability themes in ISO 26000 were identified as areas of high importance for INPEX and our stakeholders, and these form our Material Issues. One of the Material Issues is biodiversity conservation and water management. Recognizing biodiversity conservation as a significant global environmental issue, the "Policy and Commitments on Biodiversity Conservation" was established and published in December 2022, following a resolution by the Board of Directors. The type and degree of impacts that our operations have on biodiversity differ depending on the scale, activities, and location of each project. Accordingly, the biodiversity conservation efforts required for each project also differ. Therefore, we assess the importance of biodiversity in the areas in which we operate, and the risks and impacts on biodiversity that each project brings. We then apply a mitigation hierarchy to plan strategies for avoiding, mitigating, and compensating for those risks and impacts, and to conserve biodiversity, in environmentally sensitive areas that are particularly important. This paper presents the challenges and opportunities that INPEX has identified through the internal nature readiness assessment based on WBCSD's assessment tool (2021), and the internal assessment trial using the TNFD Framework "LEAP Approach". The internal self-assessment using WBCSD's nature readiness assessment tool (2021) revealed several company-wide challenges and opportunities in INPEX's nature readiness. Some progressing areas were the establishment and publication of nature related policies and commitments, and the implementation of actions based on mitigation hierarchy in operations. On the contrary, setting quantitative targets and KPIs on material topics and evaluating dependencies have been identified as challenges. An internal assessment trial of TNFD Framework "LEAP Approach" was implemented for INPEX's operational sites in Japan. Through the assessment, the practicality and challenges of applying the LEAP Approach were identified. The LEAP Approach provides the concepts and guidance to collect data and assess location-specific impacts, dependencies, risks, and opportunities. Some key challenges identified were the scoping of the assessment, prioritization of material locations, availability and quality of location-specific data, and selection of appropriate metrics and indicators.
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 | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,003 |
| Études des sciences et des technologies | 0,008 | 0,003 |
| Communication savante | 0,016 | 0,011 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,003 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,012 | 0,001 |
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 ».