Evaluating Reservoir Aspects From Database on Infill/Step-Out Wells
Notice bibliographique
Résumé
Abstract About 200 000 infill/step-out wells have been drilled in the Western Canadian Sedimentary Basin (WCSB) since 1980. This wealth of data implicitly included clues to various reserve characteristics but techniques for evaluation were not obvious to us. We tried different ways of processing data for deriving meaningful insights. In this paper we present some of these with appropriate examples. Pools were grouped by major formation type, fluid type, and depletion mechanism. The distribution performances of various sub-groups were individually evaluated. Where possible, performances of horizontal and vertical wells were treated separately. We also compared the value of the Average and the Median performance parameters. In most cases the average was much larger than the median. We prepared frequency plots and their representation on the normal (standard deviation) scale for the wells in each group. From these plots we were able to characterize the lateral heterogeneity of the reservoirs. This could be used in applying risk factors to future projects. Risk analysis can also be aided by other features of frequency distributions for corresponding wells. A rate-cumulative production plot was also helpful in determining acceleration benefits and incremental reserves resulting from infill drilling. Introduction Two hundred thousand infill and step out wells were drilled in the WCSB between 1980 and 2005 (Table 1a). Infill wells for oil and gas were approximately equal in numbers. About 75 percent of the wells were drilled in sandstone formations and 25 percent in carbonate formations. Overall, 50 000 wells were drilled in sandstone heavy oil reservoirs and 80 000 in sandstone gas reservoirs. Of these, more than 50% were shallower than 500 meters. In this paper we focused mainly on the performance of infill wells in mature light oil carbonate reservoirs. First, we reviewed the performance of two Mississippian pools in SE Saskatchewan (Williston Basin). Here, the horizontal wells performed noticeably better than the contemporary vertical infill wells. In Alberta however, in the three carbonate pools reviewed, two oil pools and one gas pool, the vertical infill wells performed better than the horizontal wells. (In the case of the Swan Hills BHL pool the difference was small) We also reviewed the performance of a heavy oil sandstone reservoir and a shallow sandstone gas reservoir. In both pools, the horizontal infill wells performed better than the vertical wells. A major objective of this paper is to show how a relatively simple statistical analysis of the performance curves could provide useful insights; and also, to present a method to qualitatively/quantitatively characterize the lateral heterogeneity as well as, risks in developing similar pools by infill drilling. In addition, we also illustrate how the oil rate-cumulative production plot could be used to identify contributions due to acceleration and incremental recovery. We have incorporated some of the ideas discussed in previous papers2–8. METHODOLOGY Our main data sources were the provincial Oil and Gas Reserves Books. Production data were obtained from a commercial data base. An "in-house" Excel based statistical program was used for analyzing/sorting the data and developing various statistical parameters, tables and graphs.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| 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 | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 tête enseignante, 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 ».