| With the development of oil prospecting,buried hill reservoir and the exploration ofsubtle oil gas reservoirs are paid much more attention,it is very important to find new oil gasreservoir.Glutenite reservoir is one type of good conceal oil gas reservoirゼin recent years,Kebai fault in Junggar Basin is one of the main positions in exploration and development, andits oil production can take over the battlefield.To explore oil water identification method ofglutenite reservoirs and establish logging evaluation methods suitabled for the glutenitereservoir are of great significance for the explorztion and development of similar areas of oiland gas reservoir.Glutenite reservoir which has strong aeolotropism and complex lithology and ultra lowporosity is difficult to accurately calculate reservoir parameters and determine the nature ofreservoir fluids. Thus the logging interpretation results do not coincide with the test results ofthe well testing and the producing test. First, we studied the characteristic of the glutenitereservoir, learned the components of rock,analysed the components of the agglutinate,andstudied the respect of the electrical property, then carried on the classification andidentification of lithology. Second.we conducted a detailed study of the rock relationship andthe response characteristics of the fluid medium, extracted the sensitive parameters ofglutenite reservoir, and then used a plot of methods, to study and evaluated the glutenitereservoirs of Kebai fault. Those methods laied the foundation for the oil water identificationof the glutenite reservoirs.After putting the core to the logging position, in this paper we used the method of"core scale logging" established the log interpretation modelゼbecause of lacking watersaturation datas,we use Archie’s equation to calculate the water saturation. In this paper we used many methods to determine the limitation of effectivereservoir.According to the Geological, gas measurement, drilling, logging and other datas todetermine the effective thickness of the gas reservoir.We used a variety of methods to identify and predict reservoir fluid; With takting mangfactors into account, for example:lithology, physical properties and the effective thickness ofthe gas reservoir and so on, we graded the quality of the reservior.This method was applied to the glutenite reservoir in Kebai fault zone and achieved goodresults, which provided a strong basis for further development of evaluation and increase thereserves and production. |