The Research Of Polymer Flooding Development Index Forecast Method In Sazhong Class-Ⅱ Reservoir

With the polymer flooding technology large-scale application of Daqing Oilfield SaertuCentral Zone (hereinafter referred to as Sazhong Zone) Putaohua main oil reservoir for a classof, the major reservoirs of polymer flooding unused are becoming less and less. II oilproduction has gradually become an important resource for successor. Compared with majorreservoir oil, the II reservoir of sazhong development zone overall presents the characteristicof thin layers, low permeability, poor reservoir properties. Small-scale of channel sandsdevelopment, low number of sands connectivity, poor quality connectivity, more prominentflat contradiction and so on. Therefore We need to build the second class reservoir effect ofpolymer flooding development index prediction and evaluation method, so that we timelygrasp the dynamics of polymer flooding reservoir II, and guide development adjustment of IIreservoir of polymer flooding process. The feature point prediction method of this articlequantitatively evaluated the Sazhong Zone II reservoir of polymer flooding effect.By statistical analysis of10experimental zone static factors influence factors ofSazhong Zone. I found that the main influence factors of polymer flooding of II reservoir iseffective thickness, Permeability, three or four connected to proportion of the effectivethickness is greater than1m. Different level of permeability and effective thickness variationcoefficient, ratio of layer is less than1and initial water content. Through the analysis ofnumerical simulation, I found that the amount of polymer, polymer injection influence on thedevelopment effect is relatively large. I Choosed the five most sensitive and mostrepresentative parameters and designed orthogonal table for personalized numericalsimulation experiment, and got the curves of moisture content of polymer flooding. On thebasis, I fitting quantitative characterization of model for each moisture content change curveand get the value of characteristic parameters, and return to the relationship between thecharacteristic parameters and influencing factors of formula, so that I could index projectionsfor undeveloped blocks.