On Oil-water Layer Identification Method for Deep Glutenite Reservoir with Ultra-low Permeability

It is difficult to identify oil-water layers in deep glutenite reservoir with ultra-low permeability featuring abysmal buried depth,great lithology variation,complex porosity structure,strong heterogeneity and vague distinctions of rock-electricity relations at the oil-water interface.Based on the core analysis data and combining with the imaging logging,nuclear magnetic resonance logging,conventional logging data,along with the utilization of electro-face method,the comprehensive characteristic parameters of the oil-water layer are abstracted.With the help of a set of mathematical statistic tools,a discrimination model for ultra-low permeable deep glutenite reservoir with multi-parameters and an oil-water layer separation method are presented.The developed software is then put to test by more than ten well logging data from the studied area,the results are promising: the interpretation accuracy of the reservoir parameters and the identification of the oil-water layer are effectively improved,which proves that the method can provide a more reliable and detailed geological background for exploration and development for ultra-low permeability deep glutenite reservoir.