Study On Logging Evaluation Methods Of Zeolite-bearing Reservoirs

Zeolite-bearing reservoirs are occasionally found in oil and gas exploration.At present,the research on zeolite-bearing reservoirs in China mainly focuses on the diagenetic evolution of zeolites and their influence on reservoirs.The former reserchers do not systematically study the logging response characteristics of zeolite-bearing reservoirs,which restricts the development of zeolite reservoirs to some extent recognition and evaluation.Therefore,it is very urgent and important to study the logging evaluation methods of zeolite-bearing reservoirs.This paper is based on the conventional logging data,nuclear magnetic logging data,whole rock mineral analysis data and oil test data of more than 20 wells in YJ well area,Junggar Basin.The logging response characteristics of zeolite-bearing reservoirs in Xiawulhe formation in YJ well area are systematically analyzed.According to the logging response characteristics of zeolite-bearing reservoirs,three qualitative identification methods and a quantitative model for calculating the content of clinopolites are established.Through the study of the paper,the low gamma,low density,high neutron,high resistivity "two-low,two-high" logging response characteristics of the zeolite-bearing reservoirs were identified.Based on the well logging responses,three qualitative identification methods for the turbidite-bearing zeolite reservoirs have been established:comprehensive analysis of curve combination characteristics,overlap of density-acoustic wave porosity method,intersection of density-based porosity and nuclear magnetic effective porosity.According to the actual logging data processing results,the accuracy of overlapping statutory identification of zeolite-containing reservoirs is high.According to the actual situation in the study area,select the parameters and curves sensitive to zeolite,and establish a multi-mineral model optimization method to calculate the content of zeolite.Comparing the calculated results of zeolite content with the results of whole rock minerals,the zeolite content calculated by the optimized model is more reliable.