WINDOWED STATISTICAL ANALYSIS FOR ANOMALY DETECTION IN GEOPHYSICAL DATASETS

摘要

603314 Disclosed is a method for identifying geologic features in one or more discretised sets of geophysical data or data attributes representing a subsurface region, each such data set referred to as an "original data volume". The method comprises the following steps, at least one of which is performed using a computer: (a) selecting a data window shape and size; (b) for each original data volume, moving the window to a plurality of locations, and forming for each window location a data window vector whose components consist of voxel values from within that window; (c) performing a statistical analysis of the data window vectors using a diffusion mapping statistical analysis technique, the statistical analysis being performed jointly in the case of a plurality of original data volumes; (d) using the statistical analysis to identify outliers or anomalies in the data; and (e) using the outliers or anomalies to predict geologic features of the subsurface region.