2008Journal of Oil and Gas TechnologyRequires access

Application of Seismic Attribute Analysis in Predicting Karst Reservoir

Luping Sun

Open publisher page 3 citations

Abstract

In China,karst carbonate reservoirs were generally buried deeply with strong heterogeneity,complex distribution of cavity and fracture,poor image of seismic data,low signal-noise ratio and difficult for reservoir prediction,palaeotopograph restoration,coherence body and frequency division seismic attribute were commonly used methods for karst reservoir prediction.But for the facies belt,litholigic,physical properties were weak in karst reservoir development area.Based on seismic attribute analysis technique,more geophysical information can be extracted from seismic data,which improves recognition reservoir features such as subsurface structure,reservoir characteristics and physical properties,and increase the accuracy of the forecasts.The practical application shows that the use of multi-attribute seismic analysis techniques can effectively predict the distribution of karst reservoir properties as well as the characteristics of the oilfield exploration and development so as to provide a strong basis.

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What this paper is about

In China,karst carbonate reservoirs were generally buried deeply with strong heterogeneity,complex distribution of cavity and fracture,poor image of seismic data,low signal-noise ratio and difficult for reservoir prediction,palaeotopograph restoration,coherence body and frequency division seismic attribute were commonly used methods for karst reservoir prediction.But for the facies belt,litholigic,physical properties were weak in karst reservoir development area.Based on seismic attribute analysis technique,more geophysical information can be extracted from seismic data,which improves recognition reservoir features such as subsurface structure,reservoir characteristics and physical properties,and increase the accuracy of the forecasts.The practical application shows that the use of multi-attribute seismic analysis techniques can effectively predict the distribution of karst reservoir properties as well as the characteristics of the oilfield exploration and development so as to provide a strong basis.

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Available abstract

In China,karst carbonate reservoirs were generally buried deeply with strong heterogeneity,complex distribution of cavity and fracture,poor image of seismic data,low signal-noise ratio and difficult for reservoir prediction,palaeotopograph restoration,coherence body and frequency division seismic attribute were commonly used methods for karst reservoir prediction.But for the facies belt,litholigic,physical properties were weak in karst reservoir development area.Based on seismic attribute analysis technique,more geophysical information can be extracted from seismic data,which improves recognition reservoir features such as subsurface structure,reservoir characteristics and physical properties,and increase the accuracy of the forecasts.The practical application shows that the use of multi-attribute seismic analysis techniques can effectively predict the distribution of karst reservoir properties as well as the characteristics of the oilfield exploration and development so as to provide a strong basis.

Key concepts: Karst, Geology, Seismic attribute, Carbonate rock, Reservoir modeling, Tarim basin, Facies, Seismology

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