Propagating Interval Uncertainties In Supervised Pattern Recognition For Reservoir Characterization - Université de Lorraine Access content directly
Journal Articles Journal of Petroleum Technology Year : 2001

Propagating Interval Uncertainties In Supervised Pattern Recognition For Reservoir Characterization

Abstract

Characterizing reservoir quality, identifying the main rock types, and predicting their spatial variations are a challenge. Supervised pattern-recognition methods are used as discriminant analysis of these parameters. However, the uncertainties of the measurement arrays are not considered, which may cause misinterpretations. A methodology was developed that is an extension of the standard parametric approach to discriminant analysis. The resulting reservoir-quality model is less precise but more realistic by taking into account all data and associated uncertainties.
No file

Dates and versions

hal-04055731 , version 1 (03-04-2023)

Identifiers

Cite

Philippe Nivlet, Frédérique Fournier, Jean-Jacques Royer. Propagating Interval Uncertainties In Supervised Pattern Recognition For Reservoir Characterization. Journal of Petroleum Technology, 2001, 54 (6), pp.1-4. ⟨10.2523/71327-MS⟩. ⟨hal-04055731⟩
4 View
0 Download

Altmetric

Share

Gmail Facebook X LinkedIn More