Methods and risks of predicting reservoirs in Tyumen suite, Em-Yogovskoye field

Authors: N.V. Nassonova, L.V. Lapina, K.V. Chernova, М.Y. Shapovalov (TNNC LLC), Y.V. Маsalkin (TNK-Uvat)
Based on 3D seismic acquired in the south-east of Em-Yogovskoye field, a dynamic analysis and seismic inversion to determine high-capacious Tyumen reservoirs and most promising areas for development drilling are made. Risk of reservoir lack and its quality in Tyumen suite is assessed with producing the total risk map. Method of dividing the reservoirs into classes is applied using FZI. Genetic inversion algorithm based on neural nets, and also geoseismic modeling are used to propagate FZI over the volume of seismic cube.
Based on 3D seismic acquired in the south-east of Em-Yogovskoye field, a dynamic analysis and seismic inversion to determine high-capacious Tyumen reservoirs and most promising areas for development drilling are made. Risk of reservoir lack and its quality in Tyumen suite is assessed with producing the total risk map. Method of dividing the reservoirs into classes is applied using FZI. Genetic inversion algorithm based on neural nets, and also geoseismic modeling are used to propagate FZI over the volume of seismic cube.


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