Using semblance based coherency to detect micro faults in the Khangiran gas field
Hashemi Gazar
Abstract
Hashemi Gazar
Abstract
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. When coherency attributes are applied to seismic data, they show the continuity between two or more traces of the seismic window. The rate of the seismic continuity is a sign of geological continuity. The 3D seismic coherency cube can be extremely effective in delineating faults. To calculate the attribute of coherency, there are three solutions: semblance, eigenstructure and cross correlation. Inputs of these
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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. When coherency attributes are applied to seismic data, they show the continuity between two or more traces of the seismic window. The rate of the seismic continuity is a sign of geological continuity. The 3D seismic coherency cube can be extremely effective in delineating faults. To calculate the attribute of coherency, there are three solutions: semblance, eigenstructure and cross correlation. Inputs of these
Key concepts: Geology, Seismic trace, Seismic to simulation, Window (computing), Synthetic seismogram, Seismology, Seismic inversion, Lithology