The presence of gas hydrate and associated gas in the Makran Accretionary Prism, offshore Iran, has been confirmed by various seismic indicators, including the bottom-simulating reflector (BSR), amplitude blanking, and bright spot. The pre-stack analysis and the study of amplitude-variation-with-offset (AVO) attributes are the most reliable tools for semi-quantitative study of gas hydrate and f...

We present multi attribute texture transfer functions for the generation of seismic illustrations. We render seismic data in the style of geological textbook illustrations by combining illustratively rendered axis aligned slices with volume rendering. We have extended the transfer function concept to map volume attributes to 2D textures that flow according to a deformation volume describing the...

Seismic facies analysis (SFA) aims to classify similar seismic traces based on amplitude, phase, frequency, and other seismic attributes. SFA has proven useful in interpreting seismic data, allowing significant information on subsurface geological structures to be extracted. While facies analysis has been widely investigated through unsupervised-classification-based studies, there are few cases...

Advances in the quality of computer visualisation over last 15 years have significantly improved the ability of geoscientists to interpret seismic data. However, the increasing trend to simultaneously interpret multiple attributes has been supported by significant improvements in the levels of quality being achieved in colour data visualisation in the past 5 years [Henderson, 2007]. Such effect...

avo analysis is a technique which is widely used in industry and is applied on seismic prestack data. results from changes in seismic wave reflection amplitude versus offset can be used in extracting elastic properties and hence lithology and reservoirs pore fluid identification. before performing avo analysis studies, processing steps should be ensured that changes in reflection amplitude are ...

Various approached have been introduced to extract as much as information form seismic image for any specific reservoir or geological study. Modeling of faults and fractures are among the most attracted objects for interpretation in geological study on seismic images that several strategies have been presented for this specific purpose. In this study, we have presented a modified approach of ap...

Color is the critical factor in seismic data interpretation and geological targets visualization. And recently, ideas of color blending have brought the enlightenment in attribute combinations for reservoir characterization in petroleum engineering. In this paper, we present this approach of color blending in different color modes and its application in subsurface channel detection by using sei...

seismic attribute is a quantitative measure of an interested seismic characteristic. there are several seismic attributes. in recent years, time-frequency (tf) attributes have been developed which to reach them, tf analyzing of seismic data is required. a high resolution tf representation (tfr) can yield more accurate tf attributes. there are several tfr methods including short-time fourier tra...

The goal of this paper is the blind prediction of reservoir property from seismic attributes for well tops guided zones. Diverse variation in the reservoir properties, vertically and laterally, shows the nonlinear and complex nature of the reservoir system. In this context, use of a single network for the prediction of reservoir characteristic for a complete well may not be good in achieving ta...

in this paper an application of gustafson-kessel clustering algorithm is presented to create a fault detection map (fdm). five post-stack seismic attributes are extracted from a desired seismic time slice related to 3d seismic data of a gas field located in southwest of iran. to find the optimal cluster numbers, two frequently used clustering validity measures, i.e. sc and xb, are used and then...