Comparison of Stacking Methods Regarding Processing and Computing of Geoscientific Depth Data

摘要

This paper presents a comparison of different stacking methods available for processing and computing of geoscientific depth data for use with various high level applications and computing architectures. These methods are used with seismics and comparable geophysical techniques for example. Todays resources enable to use these methods for more than batch processing. For these cases it is important to analyse the algorithms regarding strengths and implementation benefits. The algorithms presented have been successfully implemented and evaluated for their purpose with application scenarios using High End Computing (HEC) resources. The focus is on integrating stacking algorithms in information and computing systems, utilising Distributed Computing and High Performance Computing (HPC) from integrated systems for use in natural sciences disciplines and scientific information systems.