数据驱动建立地层原油黏度计算新方法

针对海上勘探评价阶段稠油油田地层流体取样少或无取样的问题，通过对大量渤海地区已取样稠油流体数据统计，应用数据矩阵分析探寻影响地层原油黏度的主控因素及不同参数与地层原油黏度的关系，采用非线性回归建立地层原油黏度与其他参数之间关系的经验公式，同时建立不同参数条件的地层原油黏度与地面密度的取值图版。新经验公式计算的地层原油黏度与实测地层原油黏度平均误差5.6%，同时应用经验公式和原油黏度确定综合图版对某海上稠油流体性质进行分析，两种方法研究结果相当，说明新方法的可靠性。基于数据驱动建立的地层原油黏度公式和图版成果可解决海上稠油油田地层流体取样少或无取样的问题，为油田开发方案编制、开发方式选择、采收率预测、平台设施设计及原油输送提供重要参考依据。

Establishment of a New Method for Viscosity Calculation of Crude Oil by Data Analysis

Aiming at the problem that there is little or no sampling of formation fluid in heavy oil fields in the stage of offshore exploration and evaluation, through the statistics of a large number of sampled heavy oil fluid in bohai sea area, data matrix analysis was used to explore the main control factors affecting formation crude oil viscosity and the relationship between different parameters and formation crude oil viscosity. The empirical formula of formation crude oil viscosity and other parameters is established by nonlinear regression, and the value chart of formation crude oil viscosity and surface density under different parameters is also established. The mean error between the viscosity of formation crude oil calculated by the new empirical formula and the measured viscosity of formation crude oil is 5.6%; the empirical formula and chart are applied to quality control of the fluid properties of a certain offshore heavy oil, and the results of the two methods are equivalent, indicating the reliability of the methods. The viscosity formula and chart of formation crude oil based on data driven can solve the problem of little or no sampling of formation fluid in offshore heavy oil field, and provide important reference for the oilfield development plan, development mode selection, recovery rate prediction, platform facilities design and crude oil transportation.