Study on the Technology for Prediction of the Favorable Reef Facies Belt in Changxing Formation in the East of Sichuan
Zhao Zha
Abstract
Zhao Zha
Abstract
The reefs of Changxing Formation in the East of Sichuan are the main gas bearing layers of marine carbonate rocks in Sichuan Basin.Therefore,it is very significant to conduct study on the techniques for prediction of favorable reef facies belt during exploration and production of the reef reservoir.Through analysis of the techniques for prediction of the favorable reef facies in Changxing Formation in the East of Sichuan,it is revealed that the technique of seismic attribute analysis and the technique of step out time analysis are the key techniques,being the most commonly used and most effective techniques for prediction of favorable reef facies belt.The technique of layer flattening analysis is an assisting technique,which can be used to study approximately the ancient sedimentary environment.The technique of seismic spectrum decomposition can be used for depicting precisely the belt boundary,but the requirements for signal-to-noise ratio(SNR) of seismic data is high.
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The reefs of Changxing Formation in the East of Sichuan are the main gas bearing layers of marine carbonate rocks in Sichuan Basin.Therefore,it is very significant to conduct study on the techniques for prediction of favorable reef facies belt during exploration and production of the reef reservoir.Through analysis of the techniques for prediction of the favorable reef facies in Changxing Formation in the East of Sichuan,it is revealed that the technique of seismic attribute analysis and the technique of step out time analysis are the key techniques,being the most commonly used and most effective techniques for prediction of favorable reef facies belt.The technique of layer flattening analysis is an assisting technique,which can be used to study approximately the ancient sedimentary environment.The technique of seismic spectrum decomposition can be used for depicting precisely the belt boundary,but the requirements for signal-to-noise ratio(SNR) of seismic data is high.
Key concepts: Reef, Facies, Geology, Sichuan basin, Structural basin, Paleontology, Seismology, Mining engineering