UNCONVENTIONAL SEISMIC INTERPRETATIONS USING SEISMIC ATTRIBUTES CASE STUDIES

Abstract

Seismic interpretation is an art and sense mixing with high scientific knowledge. The thinking in the same way every time cannot solve our scientific problems, so that we need to create thinking that can help us in solving complex problems. The important point for seismic interpretation is how to use seismic data but the most important one is how to understand this data, if we continue deal with seismic data in this way we cannot generate any new geological information from seismic data.

Seismic attributes are the only way that can enable interpreter to understand seismic data very well and generate new view for his model. However, there are hundreds of seismic attributes and there are many classes that make interpreters afraid of using new things. In order to address these problems, it is important to carefully analyze alternative forms of the 3D seismic data, which in this dissertation will be primarily prepare seismic data to enhance seismic attributes results and choice best seismic attributes for stratigraphic and structural interpretations, then combinations of one or more seismic attributes, it should interpret them within the context of an appropriate structural deformation and stratigraphic model.

In this research, 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 North Sea Field.

Latest technology in hardware and software enables interpreters to go in deep inside the earth and can easily identify and extract geobodies, but 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, direct hydrocarbon indication using multi-attributes visualization, and extraction several geobodies from seismic data to enhance and reduce risk in seismic interpretation results.