稠油油藏出砂量预测方法研究及应用

Study on sand production volume prediction in heavy oil reservoirs and its application

罗艳艳 李春兰 黄世军

LUO Yanyan LI Chunlan HUANG Shijun

中国石油大学石油工程教育部重点实验室，北京　102249

Key Laboratory for Petroleum Engineering of the Ministry of Education, China University of Petroleum, Beijing 102249, China

大多数有关油井出砂的预测基本上是预测出砂临界生产压差，关于出砂量的预测比较少。针对稠油油藏进行了出砂量预测研究，以直井出砂生产过程中沿油藏到生产段井筒为研究对象，结合某一实际稠油油藏区块，根据大量油井出砂量的统计数据，对出砂量随时间的变化进行了拟合，采用现场工程法建立了稠油油藏油井出砂量预测模型，并对出砂后储层物性参数的变化及对产能的影响进行了研究。结果表明，出砂量随时间的变化趋势遵??伽马分布规律，出砂量存在峰值。由于疏松砂岩稠油油藏生产过程中出砂使屈服区域内渗透率增加，造成油井产量大幅提高。模拟结果与现场观测结果一致，证明了该模型的可靠性。

Most of the sand production prediction for oil wells is about critical drawdown pressure, prediction about sand production volume (SPV) is less. Aiming at SPV prediction in heavy oil reservoirs, this paper takes the path from reservoir to wellbore of vertical wells as the research object, and collects the SPV in many heavy oil wells. Curve of SPV change with time is fitted. The paper then develops a SPV prediction model of heavy oil wells with field engineering method. The change of reservoir physical parameters after sanding and the influence of sanding on productivity are also studied. The results show that change trend of SPV with time follows gamma distribution and SPV has a peak value. Permeability of the yield region in unconsolidated sandstone heavy oil reservoir will increase due to sand production, leading to production improvement greatly. Reasonable agreement of simulation results with field observation results verified the reliability of the model.