Study On Method Of Glutenite Reservoir Evaluation With Well Logging Data

With the development of oil prospecting, it is very important to find new oil-gas reservoir, we pay more attention on conceal oil-gas reservoir and glutenite reservoir is one type of good conceal oil-gas reservoir. Glutenite reservoir which has strong aeolotropism and complex lithology and ultra low porosity is difficult to evaluate with well logging data. It's hard to identify effective reservoir and oil-water layer. The reservoir evaluation with well logging data and the discrimination of oil-water and the application of geology are all difficult problems to the field of oil prospecting at home and aboard, so it requires new theories and advanced technologies to support.It is such a serious challenge for reservoir logging evaluation because of the complexity of glutenite reservoir, and reservoir parameters can not be calculated accurately and reservoir fluid properties also can not be determined accurately by traditional logging evaluation methods which lead to that the logging interpretation results are different from the test results. The paper makes use of electrofacies analysis technique, divides the whole reservoir into several lithophases according to logging response, then builds models for different lithophases. The method makes every lithophase have similar logging response, lithology characteristic and regular for porosity, permeability. We translate aeolotropic, nonlinear issues into homogeneous, linear issues. On basis of reservoir parameter calculation, we select the well logging or the reservoir parameters which closely relate to the oil-water, and we form the new parameters by electrofacies analysis to identify oil–water layer.Applying the methods and the newly developed software, logging data of 14 wells of the region have been processed and the results are satisfactory. The accuracy of reservoir parameters and oil–water layer identification are obviously improved.