Unconventional Seismic Interpretations Using Seismic Attributes Case
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In this book, it is concentrated on analyzing geometric attributes families, physical attributes, and hybrid attributes that depend on combination seismic attributes to estimate and extract geological features from three cases studies, new initiative seismic interpretation workflow has developed to better understand the geology before even starting the interpretation process so the interpreter can take a much more informed decision. Extraction geobodies from seismic attributes data by many techniques such as auto tracking, adaptive geobody, colored blend and gridding algorithm enhance geologic...
In this book, it is concentrated on analyzing geometric attributes families, physical attributes, and hybrid attributes that depend on combination seismic attributes to estimate and extract geological features from three cases studies, new initiative seismic interpretation workflow has developed to better understand the geology before even starting the interpretation process so the interpreter can take a much more informed decision. Extraction geobodies from seismic attributes data by many techniques such as auto tracking, adaptive geobody, colored blend and gridding algorithm enhance geological interpretation in Gulf of Mexico, developing new average SD attribute that depend on spectral decomposition and tuning thickness analysis to enhance thin channel interpretation in North Sea Field and Stratton Field. Multi-attributes combination help to identify shallow gas accumulation and improve sequences stratigraphic interpretation There are huge amount of seismic attributes data. To overcome this problem, unconventional seismic attributes workflow has been applied for enhancing thin channel identified using new average SD attribute, improve fault interpretation by edge attributes.
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