Rock properties prediction, categorization, and recognition...

Details Rock properties prediction, categorization, and recognition... Rock properties prediction, categorization, and recognition...

G - Physics

01

V

G01V 3/32 (2006.01)

Patent

CA 2558891

A partial least squares (PLS) regression relates spin echo signals with samples having a known parameter such as bound water (BW), clay bound water (CBW), bound volume irreducible (BVI), porosity (PHI) and effective porosity (PHE). The regression defines a predictive model that is validated and can then be applied to spin echo signals of unknown samples to directly give an estimate of the parameter of interest. The unknown samples may include earth formations in which a NMR sensor assembly is conveyed in a borehole.

une régression partielle par la méthode des moindres carrés (PLS) régression met en relation les signaux d'écho de spin avec des échantillons présentant un paramètre connu tel que eau liée, argile et eau liés, volume lié irréductible, porosité, et porosité effective. Cette régression définit un modèle prévisionnel qui une fois validé peut être appliqué aux signaux d'écho de spin d'échantillons inconnus pour fournir directement une estimation du paramètre d'intérêt. Les échantillons inconnus peuvent provenir de formations terrestres dans lesquelles on place un détecteur à RMN via un puits.

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