摘要
通过模拟水平井的DTS数据,可以识别流入井筒内不同类型的流体,但由于DTS数据解释的准确率不高,DTS技术在油藏管理中的应用非常受限制。DTS数据解释技术仍然处于发展的早期阶段,已有的一些解释方法也都是基于数学模型。不同的研究人员在研究时所设立的不同假设,导致相互矛盾的结果。所以,实验提出了一个更为准确的解释方法:直接利用实验方法测得流体在多孔介质中流动时的温度梯度和压力梯度数据,并考虑到流体在油藏和井筒内的多相非线性流,从而实现采集油、气和水在不同类型储层岩石中流动时的温度梯度和压力梯度数据的目的,进而建立温度梯度和压力梯度的关系式。研究结果可在今后的油藏模拟中预测油藏和井筒的温度分布。
The simulated DTS data from the horizontal wells can identify the fluid types flowing into the borehole; however, their application in the reservoir management is very limited due to the lower interpretation accuracy. The interpretation is still in the early stage, the exited interpreting methods are only based on the mathematical modeling. The conflicting results have been resulted from the different assumptions by different research workers. The experiment develops one more accurate interpreting method： directly by the approach to measure the temperature and pressure gradients data for the flow liquids in the porous media, the multi-phase non-linear flow in the reservoir and wellbore is considered. Finally the purpose of collecting the gradient data for the oil, gas and water flowing in different types of the reservoir rock can be realized, and furthermore the relationship between the temperature and pressure gradients can be established. The study achievements can be applied in the prediction of the temperature distributions in the reservoirs and boreholes for the future oil reservoir simulation.
出处
《大庆石油地质与开发》
CAS
CSCD
北大核心
2015年第4期118-123,共6页
Petroleum Geology & Oilfield Development in Daqing
关键词
DTS(分布式温度传感器)数据解释
多孔介质
温度梯度
压力梯度
DTS （Distributed Temperature Sensor） data interpretation
porous media
temperature gra-dient
pressure gradient
