A Novel Temperature Prediction Model Considering Stress Sensitivity for the Multiphase Fractured Horizontal Well in Tight Reservoirs
A Novel Temperature Prediction Model Considering Stress Sensitivity for the Multiphase Fractured Horizontal Well in Tight Reservoirs
复制标题
考虑应力敏感性的致密油藏多相裂缝水平井温度预测新模型
DOI：
10.3390/en14164760
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发表时间：
2021-08
期刊：
影响因子：
3.2
通讯作者：
Mingqiang Wei
中科院分区：
文献类型：
--
作者：
Yonggang Duan;Ruiduo Zhang;Mingqiang Wei
准确的多级压裂水平井温度剖面是利用分布式温度传感解释生产剖面的基础。建立了考虑应力敏感效应和焦耳-汤姆逊效应的油水两相流多级压裂水平井温度预测模型。通过模拟计算，讨论了不同地层参数、含水率和裂缝参数下井筒温度的变化规律。多级压裂水平威尔斯井井筒温度分布受多种因素影响。根据正交试验设计原理，选取井筒温度与地层初始温度之差作为分析条件。设计并进行了16组正交试验计算。通过对实验结果的分析，发现裂缝半长、产水量和地层渗透率是井筒温度剖面的主要控制因素。最后，通过计算致密油井的温度剖面，并将其与分布式温度传感的测量数据拟合，确定该井的产量剖面。
An accurate temperature profile of the multi-stage fractured horizontal well is the foundation of production profile interpretation using distributed temperature sensing. In this paper, an oil-water two-phase flow multi-stage fractured horizontal well temperature prediction model considering stress sensitivity effect and the Joule–Thomson effect is constructed. Based on the simulation calculation, the wellbore temperature variation under different formation parameters, water cuts, and fracture parameters is discussed. The wellbore temperature distribution in multistage fractured horizontal wells is affected by many factors. According to the principle of orthogonal experimental design, the difference between wellbore temperature and initial formation temperature is selected as the analysis condition. Sixteen groups of orthogonal experimental calculations are designed and conducted. By analyzing the experimental results, it is found that the fracture half-length, water production, and formation permeability are the main controlling factors of the wellbore temperature profile. Finally, the production profile of the well is determined by calculating the temperature profile of a tight oil well and fitting it to the measured data of distributed temperature sensing.
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影响因子：
7.5
作者：
Cao Nai;Lei Gang
通讯作者：
Lei Gang
影响因子：
--
作者：
W. Sui;Di Zhang;Si Cheng;Qilin Zou;Xiaosong Fu;Zehao Ma
通讯作者：
W. Sui;Di Zhang;Si Cheng;Qilin Zou;Xiaosong Fu;Zehao Ma
影响因子：
2.7
作者：
Oldenburg, Curtis M.;Pan, Lehua
通讯作者：
Pan, Lehua
影响因子：
3.6
作者：
J. App;K. Yoshioka
通讯作者：
J. App;K. Yoshioka
DOI：
10.2118/96-pa
发表时间：
1962-04
期刊：
Journal of Petroleum Technology
影响因子：
--
作者：
H. J. Ramey
通讯作者：
H. J. Ramey