System and method for delineating spatially dependent...

G - Physics – 01 – V

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G01V 1/30 (2006.01) G01V 3/38 (2006.01) G01V 11/00 (2006.01)

Patent

CA 2344143

A neural network based system, method, and process for the automated delineation of spatially dependent objects is disclosed. The method is applicable to objects such as hydrocarbon accumulations, aeromagnetic profiles, astronomical clusters, weather clusters, objects from radar, sonar, seismic and infrared returns, etc. One of the novelties in the present invention is that the method can be utilized whether or not known data is available to provide traditional training sets. The output consists of a classification of the input data into clearly delineated accumulations, clusters, objects, etc. that have various types and properties. A preferred but non-exclusive application of the present invention is the automated delineation of hydrocarbon accumulations and sub-regions within the accumulations with various properties, in an oil and gas field, prior to the commencement of drilling operations.

Système, procédé et processus, reposant sur un réseau neuronal, destinés à délimiter de façon automatisée des objets spatialement dépendants. Le procédé s'applique notamment à des accumulations d'hydrocarbures, des profils aéromagnétiques, des amas astronomiques et météorologiques, des objets émanant de radar, de sonar et d'échos sismiques et infrarouges, etc. Une des nouveautés selon l'invention est que le procédé peut être utilisé, que des données connues ou non existent, pour fournir des ensembles d'apprentissage classiques. La sortie consiste en une classification des données d'entrée en accumulations, taches, objets, etc., clairement délimités de différents types et propriétés. Une application préférée, mais non exclusive, de l'invention est la délimitation automatisée d'accumulations d'hydrocarbures et de sous régions dans ces accumulations avec différentes propriétés, dans un champs pétrolifère et gazéifère, avant le commencement des opérations de forage.

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