Study On Water-Flooded Zones In Jin 16 Block

The degree of the water-flooded zones is extremely uneven and the relationship between oil and water distribution is complex because of the changeable reservoir physical properties, complex lithology, fault development and long term water injection flooding in the Jin 16 block oilfield. Therefore, the research on the interpretation of water flooded reservoir is carried out. Based on the core analysis data, production data and test data, this paper analyzes the water flooded condition of the reservoir in the Jin 16 block. According to determination of reservoir sedimentary rhythm which is based on division of interpretation unit combined with multiple logging curves, the spatial position of the reservoir and the log data response characteristics of the water flooded layer, qualitative judgement of the water flooded condition of the reservoir is completed. The method is based on the stabe mudstone interlayer,making the logging curves divided into the interpretation unit corresponding with the sedimentary rhythm, and then combining with deep(shallow) resistivity curve and density logging curve, to identify the original sedimentary rhythm types which is contained in each interpretation unit. According to the types of original sedimentary rhythm, combined with the state space model theory, calculate the gradient and Kalman filter gain between the reservoir, and then judge the changing trend in the same interpretation unit between the effective reservoir water flooded status, complete the qualitative identification of reservoir water flooding, and then the study take the double formation water resistivity model for reservoir parameters calculation, determine the calculation formula of water saturation and shale content. At the same time, the paper use the method of linear fitting and regression, to obtain the calculation formula of porosity and permeability, complete the quatitative interpretation of water flooded layer. The conclusions which use the method of this paper have a higher coincidence rate with the production data, therefore, this method can effectively improve the interpretation accuracy of the water flooded zones in this area, and finish the accurate interpretation of water flooded zones.