Heavy Oil Flooding Logging Data Processing And Interpretation Method

Since the characteristics of heavy oil are great quality, high viscosity and complex reservoir heterogeneity, the exploitation of it is more difficult than that of thin oil, and the exploitation cost is also more. The current mature exploitation methods of heavy oil are steam throughput and steam stimulation, which cost more money because of the poor connectivity among wells. All of that is different from light oil which is exploited by water flooding. Because the flooding condition of early developed old wells is serious, and its lithology and physical property change a lot after reservoir flooding, log response diversifies. Therefore, the clear characteristics of reservoir flooding of heavy oil, the distribution of underground water, and the searching of residual oil area which is of exploitation value play guiding roles in the deployment of the adjustment well and down hole perforating. Also it has significance for the stable output of oil fields.This research work bases on wide collection and referencing the log interpretation techniques for heavy oil reservoirs of our country and abroad. For the particularity of heavy oil and variation of each parameter after flooding, treating Karamay as the object of study, we fully tap the sealed coring data, establish a series of quantitative evaluation models of heavy flooding layer based on mathematical statistics and expand the exploratory study of heavy oil reservoir flooding and logging evaluation. The thesis is divided into three parts:The first part mainly introduces the logging principle of conventional logging methods in heavy oil logging series, the main circuit analysis and data processing; The second part starts from the basic logging theory, combining with the dynamic means of production of the oil field, and systematically studies heavy oil reservoir's lithology parameters, physical parameters, and fluid parameters variations after the flooding. Besides, it analyses flooding situation in an area of Karamay and the changes of the logging curve before and after the flooding including natural potential, resistivity, GR and other logging response characteristics, combining with the differences between the heavy oil reservoirs and the thin oil. It provides a theoretical basis for establishing a appropriate heavy oil reservoir flooding evaluation system. The third part sets up a interpretation model with porosity, permeability, saturation and other parameters which are fit for heavy oil according to the study of the core analysis data, and compiles a set of flooded layer processing with fortran language, and takes advantages of relative permeability data to establish the standard of flood level which is fit for study area. At last, it proves great after the appropriate verification according to oil production data and oil testing results.Therefore, the results of this research not only are of strong theoretical significance, but also have important practical value.