Thin Bed Contourite Seismic Imaging by Wavelet Transform

Wavelet (Mathematical Microscope) analysis of seismic data is made fashionable for thin bed precise subsurface imaging and interpretation. 3D seismic data interpretation for subsurface imaging of thin bed contourite systems is integral part of research work. Seismic expression of bottom current deposits from that of other related deepwater sediments (turbidites, hemipelagites, debrites, etc.), and to maximising the information that can be derived from seismic data. A wide variety of seismic facies are common in contourites, most of which are equally present in turbidite systems. Seismic facies associations that may be typical of contourites are still to be defined. Seismic characteristics also depend very closely on the methods of seismic acquisition and processing. Sediment waves and channels are very common both in contourite and turbidite systems, and not specifically diagnostic of either system. Slope deformation, sediment creep, and large-scale water-escape may cause a hummocky seismic facies that can be misinterpreted as sediment waves. The identification of hydrocarbon reservoirs from seismic data is a key issue in the oil industry. Texture Segmentation of a 3D Seismic Section with Wavelet Transform is employed for pattern recognition. Because of the segmentation, zones of different internal stratification are identified in the seismic section. This recognition is based on the comparison of the 3-D seismic data with the reference patterns extracted from the representative areas, characterized by different textures. In splicing 3-D seismic data, consistent processing is one of the key technologies because it has a great effect on imaging quality.Seismic geomorphology goal is to look for and recognize geologically or geomorphologically meaningful patterns in plan view as well as in section view. Seismic geomorphology, the extraction of geomorphic insights using predominantly 3D seismic data, is a rapidly evolving discipline that facilitates the study of the subsurface using plan view images. Methods evolved for generating horizontal and flatted slices, arbitrary traverses,wavelet attribute extractions and mapping, and rapid analysis of large complex data volumes.A geological feature must have an expression that is scientifically reasonable in multiple dimensions. Analyses of section view integrated with plan view images represents the integration of seismic stratigraphy with seismic geomorphology. Pattern recognition, involving the interpreter being able to recognize geologically significant features in plan view on 3D.the seismic data, is critical to the seismic geomorphological approach. In conjunction, it is also essential to cross reference plan view with section view images, thus integrating the geomorphology with the stratigraphy.