Asjad Amin

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The identification of reservoir regions has a close relationship with the detection of faults in seismic volumes. However , only relying on human intervention, most fault detection algorithms are inefficient. In this paper, we present a new technique that automatically tracks faults across a 3D seismic volume. To implement automation, we propose a two-way(More)
SUMMARY Salt domes, an important geological structure, are closely related to the formation of petroleum reservoirs. In many cases , no explicit strong reflector exists between a salt dome and neighboring geological structures. Therefore, interpreters commonly delineate the boundaries of salt domes by observing a change in texture content. To stimulate the(More)
SUMMARY In this paper, we present a dictionary based classification approach for salt dome detection using texture based attributes. The proposed algorithm overcomes the drawbacks of existing texture attributes based salt dome detection techniques which are heavily dependent upon the relevance of attributes to the geological nature of salt domes and the(More)
SUMMARY In this paper, we examine several typical texture attributes developed in the image processing community in recent years with respect to their capability of characterizing a migrated seismic volume. These attributes are generated in either frequency or space domain, including steerable pyramid, curvelet, local binary pattern, and local radius index.(More)
A power efficient & secure ROHC scheme has been presented in this paper. This scheme is designed to work efficiently for IPV6 based low power wireless personal area networks. The proposed scheme first implements ROHC followed by a suitable encryption scheme. ROHC can greatly reduce the size without adding too much complexity to the system. This in result(More)