Title: Application of stochastic inversion based on simulated annealing algorithm for sand body prediction
Abstract: The sand bodies of Carboniferous Karashayi formation in Tahe oil field are usually buried deeply,with a thickness of less than 10 m and a big lateral change.The resolution of seismic data can not differentiate sandstone from mudstone,making it difficult for reservoir description.In order to solve the problem,corresponding reservoir logging constrained seismic inversion methods are studied in the area.A new method proposed here by adopting inversion results of constrained sparse spike inversion as stochastic inversion input,would greatly enhance the modeling accuracy and stochastic inversion reliability.Simulated annealing algorithm of global optimization is also used.Comparison indicates that the resolution of Inversion and signal-noise ratio are raised,by which the lateral changes of reservoir properties are properly reflected with predicted result being correspondence to that of operation.It shows that the technique of high resolution logging constrained inversion is adaptive in the area.
Publication Year: 2013
Publication Date: 2013-01-01
Language: en
Type: article
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Cited By Count: 1
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