Extract Higher Definition Fault Information from your Seismic Data
A detailed understanding of the fault network is essential in order to build an accurate structural framework. With higher definition fault information, we are able to better quantify reservoir compartmentalization risks and optimize well placement at any stage of the project cycle.
In this presentation we work with multiple seismic attributes which aid fault extraction, building in complexity from standard poststack options, including the high-resolution Fault Likelihood attribute, to the benefits of Diffraction Imaging using full-azimuth prestack data which can reveal faults normally considered to be beyond seismic resolution. Of course, the generation of this array of attributes leads us to the requirement for powerful, efficient multi-volume visualization techniques that enable the interpreter to maximize the value of these volumes, and efficient automatic fault interpretation, which allows geoscientists to go beyond visualization and accurately capture this increased resolution in their structural interpretation.