Thirdly, with a genetically constrained optimization method, the interpretation model that accounts for water flooding is set up for remaining oil saturation.
综合利用遗传约束优化方法，建立了考虑水淹影响因素的剩余油饱和度测井解释模型。
Based on the fractal capillary pres sure model and the fractal dimension, the water saturation is calculated accurately, and the reliability of the water saturation is increased.
在毛管压力曲线分形模型和分数维的基础上，能准确确定任意含水饱和度，提高了饱和度的预测精度。
A spatially-random network model by using measured pore morphology was then set up to simulate the pore scale flow processes, and to predict the soil water retention curve near saturation.
在此基础上建立了基于土壤孔隙形态学特征的随机网络模型，在孔隙尺度模拟了土壤中的水分运动过程，并预测了近饱和土壤水分特征曲线。
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