测井技术2025，Vol.49Issue(2)：310-317,8.DOI:10.16489/j.issn.1004-1338.2025.02.018
低产页岩油近水平井中油水两相数值模拟与持水率预测
Numerical Simulation and Holdup Prediction of Oil-Water Two-Phase in Low Yield Shale Oil Near Horizontal Wells
摘要
Abstract
The production of shale oil wells is typically low,and logging instruments such as the flow scanning imager(FSI)may exhibit poor turbine response in low-production wells,leading to measurement deviations and reduced interpretation accuracy.To investigate the oil-water two-phase flow behavior in low-production near-horizontal wells,11 downhole pipeline models with varying well deviations(inclination angles),an inner diameter of 0.124 m,and a length of 6 m were established using ANSYS Fluent.The built-in volume of fluid(VOF)model is employed to simulate oil-water two-phase flow in wells with different inclinations,yielding flow patterns,water holdup data,and holdup imaging under varying well deviations,flow rates,and water-cut conditions.A water holdup database is constructed based on simulation results,and water holdup variation charts were generated.Numerical simulations are analyzed to derive the relationship between water holdup and well deviation under different parameter conditions,resulting in a functional expression for water holdup versus inclination.A multilayer perceptron(MLP)neural network is trained using the simulation data to predict the nonlinear relationships among well deviation,flow rate,water-cut,and water holdup.This approach achieved accurate water holdup predictions for near-horizontal well oil-water two-phase flow under diverse conditions.Comparative analysis with experimental data demonstrated high prediction accuracy,with a relative error of 3.222%,meeting the validation requirements for downhole instrument water holdup measurements.关键词
页岩油/持水率/近水平井/数值模拟/油水两相/MLP神经网络Key words
shale oil/water holdup/near horizontal well/numerical simulation/oil-water two-phase/MLP neural network分类
天文与地球科学引用本文复制引用
秦泓龙,刘军锋,史寿波,戴月祥..低产页岩油近水平井中油水两相数值模拟与持水率预测[J].测井技术,2025,49(2):310-317,8.基金项目
国家自然科学基金项目"页岩油气多参数组合流动成像测量仪响应特征与流动剖面解释模型研究"(42174163) （42174163）
