Singularity Characterization by Monoscale Analysis: Application to Seismic Imaging
نویسندگان
چکیده
منابع مشابه
Seismic facies characterization by monoscale analysis
Relating sedimentary records to seismic data is a major challenge. By shifting focus to a scale-invariant sharpness characterization for the reflectors, we develop an attribute that can capture and categorize the main reflector features, without being sensitive to amplitudes. Sharpness is defined by a scale exponent, which expresses singularity order and determines the reflection signature/wave...
متن کاملSeismic Facies Characterization by Scale Analysis
Over the years, there has been an ongoing struggle to relate well-log and seismic data due to the inherent bandwidth limitation of seismic data, the problem of seismic amplitudes, and the apparent inability to delineate and characterize the transitions that can be linked to and held responsible for major reflection events and their signatures. By shifting focus to a scale invariant sharpness ch...
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Applications to process seismic data are computationally expensive and, therefore, employ scalable parallel systems to produce timely results. Here we describe our experiences of using performance analysis tools to gain insight into an MPI+OpenMP code developed by Shell that performs Reverse Time Migration on a cluster to produce models of the subsurface. Tuning MPI+OpenMP programs for modern p...
متن کاملApplication of the Seismic Reflection Method in Mineral Exploration and Crustal Imaging Contributions to Hardrock Seismic Imaging
Ahmadi, O. 2015. Application of the Seismic Reflection Method in Mineral Exploration and Crustal Imaging. Contributions to Hardrock Seismic Imaging. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1269. 76 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-554-9290-8. The seismic reflection method has been used extensively in mineral exp...
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ژورنال
عنوان ژورنال: Applied and Computational Harmonic Analysis
سال: 2001
ISSN: 1063-5203
DOI: 10.1006/acha.2000.0349