limited seismic data quality and complex tectonics make for less than ideal interpretation conditions. however, modern geometric attributes including coherency has shown to be effective in showing the lateral extents of subtle and small-scale geologic features not usually visible in conventional seismic sections. this geometric attributes are better suited than some older generation seismic att...

seismic attributes are very useful in seismic data interpretation. one of these attributes is the coherency attribute. seismic coherency is a complex trace and a geometrical attribute that is applied to a 3d cube of seismic data. it is a measure of lateral changes in acoustic impedance caused by the variation in structure, stratigraphy, lithology, porosity, and the presence of hydrocarbons. whe...

seismic coherency is a measure of lateral changes in acoustic impedance that are caused by variations in structure, stratigraphy, lithology, porosity, and fluid content. seismic coherency is a geometrical attribute that establishes temporal and lateral relationships with other attributes. seismic coherency can be defined by coherency attributes. when coherency attributes are applied to seismic ...

Coherency cube” and fault detection technologies have evolved rapidly in recent years as important tools for seismic interpretation. The following paper, developed as a joint project between investigators at Memorial University and the University of Calgary, compares several of the fault detection methods for data from Hibernia field. The results, which are outlined in detail in the Memorial Un...

Seismic interpreters are often faced with the need to visualise and interpret a number of seismic attributes simultaneously. Side-by-side visualisation of the individual attributes and use of monochromatic colour bars are still widely used techniques, which nevertheless present a number of limitations. In this paper we discuss how colour can be used effectively in order to support simultaneous ...

This paper provides a detailed analysis of how anisotropic diffusion filters work on seismic data. The conventional trace mixing filter is shown to be an implementation of a specific d i ffusion process. Diffusion filters have diff e rent forms, ranging from the simplest linear isotropic (L-I) diffusion to the most complex nonlinear anisotropic (NL-AI) diffusion. The NL-AI diffusion filter can ...

Seismic interpreters face an enormous challenge to ensure that the ever increasing amounts of data does result in improved exploration success and better recovery. Seismic data contains vast amounts of information and interpreters need to analyse a number of attributes of the data simultaneously to understand the behaviour of geological systems (Henderson, et al., 2008). A high level of cogniti...

the purpose of velocity analysis is to extract the normal moveout velocity as a function of the zero-offset travel time at selected cdp locations along the seismic line. since results of velocity analysis depend on coherency estimator, an estimator that provides a high velocity resolution is essential. even though the conventional semblance method which is the most popular coherency estimator (...