The Digital Government: How Well Test Data Capture is Changing the Way We Do Business
Notice bibliographique
Résumé
Abstract Electronic filing of well test data has been introduced to the Alberta upstream oil and gas industry for over a year now. During that time, industry has undergone massive and sometimes extremely difficult change. However, both industry and government are just beginning to realize the long-term benefits that were initially envisioned. These benefits are extending considerably beyond electronic filing. The inevitable use of the Internet and Public Electronic Data Repositories will continue to dramatically change the face of the petroleum industry and the regulatory environment. Introduction Don Tapscottii wrote several years ago about the coming digital economy and how it would impact people and business. The ‘new“ economy will transform not only business processes but also the delivery of products and services, how the enterprise is structured, the dynamics of competition and the new rules for business success. Recently, it became very clear the new economy was coming about. During 1999, the Well Test Capture project was completed at the Alberta Energy and Utilities Board. Prior to the project's completion, the well test staff spent their time manually keying well tests into a legacy system and storing the original submission on microfiche. The well test staff was constantly fighting volumes of data, catching up on backlogs and looking for lost microfiche. Since the implementation of the system, there are now fewer well test staff, they are no longer keying in data or storing microfiche and there are no backlogs. Instead, the well test staff are evaluating submissions and working directly with industry to ensure government requirements are adequately met. Historical data is electronically recovered and issues are immediately pinpointed. One may not appreciate the relevance of the new role of well test staff, as it appears the change is just the result of a new system. However, there is a major clue to the emergence of the new economy. In addition to public availability, well test data has become digital - pressure, deliverability and fluid analyses are converted to bits in computer storage and exchanged over networks at lightning speed. The authors believe that digital well tests not only have an immediate impact on the upstream oil and gas industry but also will continue to impact the industry in the foreseeable future. The following sections examine how the industry could be impacted. DIGITAL WELL TESTS Although pressure and deliverability tests and fluid analysis have been captured at the well in some electronic format, the format was proprietary to the gauge manufacturer, wireline and well test service company, interpretation consultant or laboratory. The concept of the Well Test Capture system was to retain the original electronic format of the data. The major exception was to have the information available in a non-proprietary format where the standards were available to everyone. When the test was finally submitted to the EUB, the electronic format would automatically update legacy systems and the complete electronic format would be available for public dissemination as opposed to microfiche.
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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 | 0,055 | 0,115 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,004 | 0,006 |
| Études des sciences et des technologies | 0,010 | 0,021 |
| Communication savante | 0,033 | 0,027 |
| Science ouverte | 0,004 | 0,010 |
| Intégrité de la recherche | 0,007 | 0,010 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,017 | 0,007 |
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 ».