Procedures for Geometric Data Reduction in Solid Log Modelling
نویسندگان
چکیده
One of the difficulties in solid log modelling is working with huge data sets, such as those that come from computed axial tomographic imaging. Algorithmic procedures are described in this paper that have successfully reduced data without sacrificing modelling integrity.
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تاریخ انتشار 1997