INTERPRETING A PLURALITY OF M-DIMENSIONAL ATTRIBUTE VECTORS ASSIGNED TO A PLURALITY OF LOCATIONS IN AN N-DIMENSIONAL INTERPRETATION SPACE

摘要

A method for interpreting a plurality of m- dimensional attribute vectors (m2) assigned to a plurality of locations in an n-dimensional interpretatio n space (n1), which method comprises arranging at least a subset of the attr ibute vectors as points in an m- dimensional attribute space; defining k cla sses (k2) of attribute vectors by identifying for each class at least one cl assification point in attribute space; postulating a classification rule for points in attribute space; determining a class-membership attribute of a po int in attribute space using the classification points and the classificatio n rule to obtain a classified point; and assigning a display parameter to th e classified point which is related to the class-membership attribute. In on e embodiment the display parameter is a mixed display parameter derived from probabilistic membership values each representing a probability that the cl assified point belongs to a selected class. In another embodiment classified points are displayed in attribute space and in interpretation space at the same time. The method can be used in a method of producing hydrocarbons from a subsurface formation. Also provided are corresponding computer program pr oducts and computer systems.