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دوازدهمین همایش انجمن زمین شناسی ایران
جزئیات رویداد
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  • carbonate facies modeling using stochastic algorithms and guided by seismic attributes

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    • تاریخ ارائه: 1392/07/24
    • تاریخ انتشار در تی پی بین: 1392/07/24
    • تعداد بازدید: 813
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     facies modeling has at least three advantages: 1) it gives a 3d geological insight at reservoir scale 2) it can be helpful for improving porosity and permeability models and 3) it leads to reduction of uncertainties associated with oil in place estimation and flow simulations. greater geologic realism is obtained when seismic 3d trends are integrated into facies modeling. in this paper, ilam fm in the sirri d oil field which is an iranian offshore carbonate reservoir is studied and seismic attributes such as relative acoustic impedance and instantaneous phase will help modeling of litho-facies. these seismic attributes showed a good correlation with the lithofacies at well locations. the stochastic method, sequential indicator simulation (sis) with a seismic trend is used to obtain a 3d facies image for the ilam fm. the ilam interval is divided into 5 geological zones and there are good evidences that carbonate turbidity channels exist within the zone ilam 3. the stochastic object-based method is also implemented to model these channels as geomorphologic object. this approach is more geologically meaningful and the observed channels from seismic data are simulated.

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