The Banff Taxonomy of Asset Valuation Methods: How Upstream Petroleum Asset Valuation has Evolved in the Past and Where it Might go in the Future
Notice bibliographique
Résumé
Introduction The managers of a public corporation have a fiduciary responsibility to maximise the value of its assets, as determined by their price in the financial markets of relevance to its investors. There are a wide variety of approaches that attempt to determine which management alternative in any given commercial situation will maximise asset value. Practice in the upstream petroleum industry reflects this diversity and has evolved over time, as organisations have sought processes not only to make better choices from among alternatives for the design and management of real assets, but also to generate a better range of alternatives to consider. An important part of many of these approaches is the estimation of asset value using discounted cash-flow (DCF) methods. There has also been exploration of some other approaches to estimating asset value, some of which are known in the industry as "real options analysis" (ROA) methods. Unfortunately, there has been some confusion over the conceptual underpinnings of the various approaches to value estimation, the relationships among them and the implications of this for standards of best practice. Because of this, a group of industry managers and consultants decided to use the technical forum and workshop process of the Society of Petroleum Engineers (SPE) to organise some pre-competitive investigations of these issues. Technical fora were held in 2000 and 2002. Participants in these fora requested a workshop on topics in "advanced" economic analysis, including probabilistic DCF analysis, decision tree analysis, and real options analysis. In response to this, the SPE asked me to organised a workshop on "The Theory and Art of Asset Valuation: Building a Case of Change - Applying to the Oil and Gas Industry What Finance has Learned". The workshop was held on 15–17 September 2003 in Banff, Canada. I gathered together a steering committee, consisting of:the former CEO of two leading independent oil and gas producers;a senior manager in a major division of a large operating company;people who, as managers, have been responsible for rolling out new evaluation processes in several large operating companies;people who act, or have acted, as internal evaluation consultants at several large operating companies;practice leaders at prominent economics, decision analysis and strategy consulting firms;a former senior manager at a major industry software supplier;a former senior manager at a major industry training organisation; andleading financial economists who have consulted on valuation to the industry. One of the key outputs of the workshop was a taxonomy of valuation methods that has come to be known as "the Banff taxonomy". It was designed to support discussions to clarify some of the confusion about valuation methods that has plagued the industry over the last couple of decades. Workshop participants and others since have found it to be very useful for this purpose. Figure (1) (Available in full paper)
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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 | 0,017 | 0,029 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,013 | 0,016 |
| Études des sciences et des technologies | 0,002 | 0,008 |
| Communication savante | 0,014 | 0,017 |
| Science ouverte | 0,004 | 0,004 |
| Intégrité de la recherche | 0,004 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,006 |
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 ».