PREDICTION SYSTEM AND METHOD FOR SUBSURFACE LITHOLOGY IN OIL SANDS RESERVOIR USING STATISTICAL ANALYSIS OF WELL LOGGING DATA

摘要

PURPOSE: An oil sand reservoir rock bed estimation method using a statistical analysis of physical well logging data and a system using the same are provided to accurately and rapidly compute physical well logging data with respect to a rock bed of a wide region based on few core data. CONSTITUTION: A core database(100) comprises core material data and/or data with respect to a plurality of boreholes on a well logging floor restoration target area. Physical logging data of a corresponding position is stored in the core database. A well logging floor determination part(200) determines a representative rock bed based on the core material data and the core data of the core database. A statistical standard value is established based on the core data with respect to the plurality of boreholes on the well logging floor restoration target area. The well logging floor determination part determines a well logging floor by checking a density level of data with respect to a selected characteristic value of a vertical measurement section of each borehole. A statistical analysis part(300) analyzes the physical logging data of the entire well logging floor restoration target area based on a property value of each well logging floor determined by the well logging floor determination part. A well logging floor restoration part(400) restores a geological columnar section based on a result value calculated from the statistical analysis part.