Propagating Interval Uncertainties In Supervised Pattern Recognition For Reservoir Characterization

Philippe Nivlet and Frédérique Fournier and Jean-Jacques Royer. ( 2001 )
in: Journal of Petroleum Technology, 54:6 (1-4)

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.

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BibTeX Reference

@article{nivlet:hal-04055731,
 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.},
 author = {Nivlet, Philippe and Fournier, Fr{\'e}d{\'e}rique and Royer, Jean-Jacques},
 doi = {10.2523/71327-MS},
 hal_id = {hal-04055731},
 hal_version = {v1},
 journal = {{Journal of Petroleum Technology}},
 number = {6},
 pages = {1-4},
 publisher = {{Society of Petroleum Engineers of Aime}},
 title = {{Propagating Interval Uncertainties In Supervised Pattern Recognition For Reservoir Characterization}},
 url = {https://hal.univ-lorraine.fr/hal-04055731},
 volume = {54},
 year = {2001}
}