The Study On The Quantitative Identification Method Of The Flooded Layers Of Fuyang Reservoir In Yushulin Oilifeld

The distribution of sand body of Fuyang reservoir in Yushulin oilfield is complex, it ismainly composed by the composite reservoirs of fault-lithology, the internal properties of thesand body have a large change and the heterogeneity of sand body is very serious, these alllead to the complexity of the residual oil distribution in the space. Some blocks of the oilfieldhave entered to the medium water cut stage, besides the reservoir with water or not crossedeach other and the degree of flooding is different. Therefore, it is necessary to carry out theinterpretation technology of water flooded layer in the study area.Based on the statistical analysis of the original reservoir and development periodmaterial, the article has established the reservoir oily recognition chart of the study area,combined with the chart and the dynamic development information of reservoir, we foundthat215layers of the59mouth infilled wells may be under water in the16th eastern block,tree322area and tree8encryption area. At the same time, the paper also researched thecalculation method of the reservoir physical parameters, formation water resistivity,saturation parameters, with the above parameters we can get the bound water saturation andthe total water saturation, and then the oil displacement efficiency could be calculated. Inaddition, this paper has put forward the concept and algorithm of integrated porosity andpermeability parameter Rc, and it also discussed the relationship between Rc and porosityand permeability. Finally, with the oil displacement efficiency, integrated porosity andpermeability parameter and the known flooded layers, we have constructed a discriminantfunction of flooded layer level which is suitable for the study area, and then completed thequantitative identification of flooded layers in the study area. Use the criterion in the above215suspected flooded layers, the coincidence rate of high flooded layers is80%, mediumflooded layers is68.2%, low flooded layers is61%and not flooded layers is76.8%, theintegral coincidence rate is proper and it basically adapts to the interpretation requirements ofwater flooded layer in the study area.