Prediction of Key Points of Water-oil Relative Permeability Curves Using the Linear Regression Technique

R. Roghanianab M. Reza Rasaeib amp; M. Haghighic

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Prediction of Key Points of Water-oil Relative Permeability Curves Using the Linear Regression Technique

机译：用线性回归技术预测水油相对渗透率曲线的关键点

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《Petroleum Science and Technology 》 |2012年第5期| p.518-533| 共16页
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R. Roghanianab M. Reza Rasaeib amp; M. Haghighic;
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1. Prediction of Key Points of Water-oil Relative Permeability Curves Using the Linear Regression Technique [J] . R. ROGHANIAN, M. REZA RASAEI, M. HAGHIGHI Petroleum Science and Technology . 2012 ,第5a8期

机译：基于线性回归技术的水油相对渗透率曲线关键点预测
2. Quantitative Prediction Model for the Water-Oil Relative Permeability Curve and Its Application in Reservoir Numerical Simulation. Part 1: Modeling [J] . Jian Hou, Fuquan Luo, Chuanfei Wang, Energy & fuels . 2011 ,第SepaaOcta期

机译：水油相对渗透率曲线定量预测模型及其在储层数值模拟中的应用。第1部分：建模
3. Quantitative Prediction Model for the Water-Oil Relative Permeability Curve and Its Application in Reservoir Numerical Simulation. Part 2: Application [J] . Fuquan Luo, Jian Hou, Zhenquan Li, Energy & fuels . 2011 ,第SepaaOcta期

机译：水油相对渗透率曲线定量预测模型及其在储层数值模拟中的应用。第2部分：申请
4. Innovative Workflow for Grouping, Averaging, End-Point Scaling and Assessing Uncertainty of Water-Oil Relative-Permeability Curves, Considering Corresponding Normalized Water-Fractional-Flow Curves, Reservoir-Rock Types and Wettability Indexes [C] . F. C. Ferreira, F. Pairoys, D. V. Klemin SPE Abu Dhabi International Petroleum Exhibition Conference . 2017

机译：考虑到相应的归一化水分流量曲线，水库 - 岩石类型和润湿性指标，用于分组，平均，终点缩放和评估水性相对渗透性曲线不确定性的创新工作流程
5. Two-phase relative permeability prediction using a linear regression model. [D] . Mohamad Ibrahim, Mohamad Nasir. 1999

机译：使用线性回归模型进行两相相对渗透率预测。
6. Selecting Modeling Techniques for Outcome Prediction: Comparison of Artificial Neural Networks Classification and Regression Trees and Linear Regression Analysis for Predicting Medical Rehabilitation Outcomes [O] . Deborah K. W. Walters, Richard T. Linn, Margaret Kulas, 1999

机译：预测结果的建模技术选择：人工神经网络分类和回归树的比较以及用于预测医疗康复结果的线性回归分析
7. Prediction of Soil-Water Characteristic Curve and Relative Permeability of Jumunjin Sand Using Pore Network Model [O] . Hyoung Suk Suh, Tae Sup Yun, Kwang Yeom Kim 2016

机译：利用孔网模型预测少羽砂砂的土壤 - 水特征曲线及相对渗透性

Prediction of Key Points of Water-oil Relative Permeability Curves Using the Linear Regression Technique

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