基于岩石热解法的原油密度、粘度预测模型研究与应用

Research and application of crude oil density and viscosity prediction models based on rock pyrolysis method

录井资料向定量化方向发展的最终目的之一就是对储层进行产能预测,而原油性质的变化是决定储层原油是否具备工业产出能力的重要因素,故在生产实践中原油性质的准确判断对试油方式的优选具有重要的指导意义。选取岩石热解录井派生参数(总产率指数、油产率指数、残余烃指数、原油轻重组分指数),采用多元线性回归算法,对长庆区块已完成试油井进行原油密度、粘度的校正,拟合效果精度较高,线性回归系数r2达到0.81以上,实现了原油密度、粘度的定量化评价,对后期提高储层流体性质的识别与评价具有重要的作用。

One of the final purposes of mud logging developing orientation of quantity is to predict the reservoir productivity,and the change of crude oil properties is an important factor to determine whether the reservoir crude oil has industrial production capacity,so the accurate judgment of crude oil properties in production practice is of great guiding significance to the optimization of well testing methods.The derived parameters of rock pyrolysis logging,namely,total production index,oil production index,residual hydrocarbon index and index reflecting light or heavy components of crude oil,are selected to correct the crude oil density and viscosity of completed test wells in Changqing Block by using multiple linear regression algorithm.The fitting accuracy is high,and the linear regression coefficient r2 is more than 0.81.The quantitative evaluation of crude oil density and viscosity is realized,which plays an important role in improving the identification and evaluation of reservoir fluid properties in the later stage.