Print this pageThe Use of Volume-Based Seismic Attributes for Automated Mapping of Seismic Carbonate Facies: An Example from the Sarvak Formation, Central Persian Gulf, Offshore Iran
Uwe P. Baaske1, Maria Mutti1, Francesca Baioni2, Guiseppe Bertozzi2, Pierluigi Iacone2,
Axum Cotti2, and Mostafa A. Naini3
1 University of Potsdam,
Potsdam, Germany
2 Edison S.p.A, Milan, Italy
3 N.I.O.C, Tehran, Iran
In this study we integrate seismic attribute data with results from seismic sedimentological and geomorphological studies of an extensive 2D survey. Aim of the study is to outline an approach for the use of volume based seismic attributes for automated seismic facies mapping within a carbonate setting. The study area used for that approach is located in the central Persian Gulf, offshore Iran. The interval of interest is the mid-Cretaceous Sarvak Formation, which is part of the extensive Cretaceous shallow water carbonate platform of the eastern Arabian Plate.
A set of 9 volume based attributes calculated from time, amplitude and frequency information of the post-stacked seismic data, was defined in order to describe geological information within the interval of interest. Calculated attributes include the integrated seismic amplitude, integrated instantaneous frequency, integrated cosine of phase, integrated apparent polarity and integrated reflection strength. These volume based attributes were supplemented by the grid based attributes ‘dip' and ‘azimuth' in order to highlight structural elements. The geological significance of each attribute was examined by comparing it with results of seismic sedimentological/geomorphological studies. Furthermore, statistical methods were applied to highlight direct relations of the attributes to each other. The results of these tests were than used to choose limited sets of attributes for neural network based classification runs, both unsupported as well as supported by training data from the seismic data set. The result show that seismic attributes derived from 2D surveys can be used to automatically map basic seismic facies types in carbonate settings.
AAPG Search and Discovery Article #90039©2005 AAPG Calgary, Alberta, June 16-19, 2005