With the increased size and complexity of seismic surveys, manual labeling facies has become a significant challenge. Application automatic methods for interpretation could significantly reduce labor subjectivity particular interpreter present in conventional methods. A recently emerged group techniques is based on deep neural networks. These approaches are data-driven require large labeled dat...

F our-component ocean-bottom-cable (4-COBC) seismic data acquired in deep water across the Gulf of Mexico were used to study near-sea-floor geologic characteristics of fluid-gas expulsion systems. Although these 4-C OBC data were acquired to evaluate oil and gas prospects far below the sea floor, the data have great value for studying near-sea-floor geology. The research results summarized here...

Several AVO cross plot methods were compared using well data from 5 exploration drilled in deep water block in Krishna-Godavari basin. This study shows that AVO Impedance vs. Acoustic Impedance cross plot provides the best separation between gas bearing sands, water bearing sands and shale/clay. AVO Impedance (AVOI) attribute derived by normalizing the Acoustic Impedance (AI) and Elastic Impeda...

During the past 50 years, the turbidite paradigm has promoted many myths related to deep-water turbidite deposition. John E. Sanders (1926–1999), a pioneering process sedimentologist, first uncovered many of these turbidite myths. This paper provides a reality check by undoing 10 of these turbidite myths. Myth No. 1: turbidity currents are non-turbulent flows with multiple sediment-support mech...

A matching pursuit algorithm is used to obtain quantitative information on the litho-stratigraphical content of seismic data. The method is based on a greedy non-linear algorithm decomposing the data into atoms drawn from a redundant dictionary defined by fractional splines. The atom’s parametrization provides localized scale, order and direction attributes which carry information on the strati...