Study On Oil-water Layer Recognition Methods For Super-low Permeability Sand-conglomerate Reservoir

In recent years, the exploration and development of conceal oil-gas reservoir especially represented by deep buried glutenite has been paid more and more attention by people. The evaluation of sand-conglomerate reservoirs has an important significance in glutenite oil, accelerating the process of exploratory development, increasing oil and gas reserves.It is hard to evaluate the deep buried glutenite which has deep burial and complex pore structure and variable lithology, super-low porosity and permeability, strong aeolotropism and multi-oil-water system. According to logging interpretation, we present an analysis on reservoir heterogeneity from qualitative to quantitative and from micro to macro level,the results show that the deep glutenite reservoir has medium-strong heterogeneity.Thorefor,we perform analysis on logging response characteristic developing a method of calibrating conventional logging with nuclear magnetic resonance logging and imaging logging, It's necessary to consider rock properties, the paper makes use of electrofacies analysis technique,divides the whole reservoir into several litho-phase and then establishes logging interpretation model according to different litho-phase.The method makes every litho-phase have similar logging response,lithology characteristic, regular for porosity, permeability and high precision.The heterogeneity of reservoir can be weaken. On basis of evaluating reservoir effectiveness,we establish oil-water discrimination standards using cross plot method according to different litho-phase to recognize oil–water layer. Logging data for research area has been processed by using the method, the results of well log interpretation was consistent with test oil results and obviously improve the accuracy of oil-water recognition.