摘要
气藏型储气库交替注采工况下的储层温度变化是影响渗透率乃至储气库注采能力的关键因素。为探究砂岩储层渗透率的温度敏感性规律及其对气井注采能力的影响,在储气库运行的温度范围内设计了多轮次交变温度下渗透率温度敏感性实验,模拟气藏型储气库储层温度的周期性变化。实验结果表明:(1)储层渗透率随温度升高而减小,随温度降低而增大,且多轮次交变温度下渗透率表现出滞后效应,随升降温轮次增加滞后效应逐渐减弱;(2)储层渗透率温度敏感性规律不同于应力敏感,渗透率与温度呈线性相关,且单轮升降温过程中滞后效应强弱不随温度改变;(3)基于实验结果建立了考虑渗透率温度敏感性的气井产能方程,研究发现忽略储层渗透率温度敏感性将低估气井注采能力,且储层埋藏越深、气井注采气量越大时,温度敏感性对注采能力的影响越大。
The temperature change under alternating injection-production conditions of underground gas reservoir storage is a key factor for permeability and even deliverability.To explore the temperature-sensitivity of sandstone reservoir permeability and its effect on the deliverability of gas well,experimental studies at multiple rounds were carried out within the realistic temperature range of underground gas storage to simulate more accurately.Results show that:(1)Reservoir permeability negatively correlates with temperature.Permeability exhibits a hysteresis effect under cyclic alternating temperature,and the hysteresis effect gradually weakens with the variation of temperature.(2)Permeability and temperature are linearly correlated,and the hysteresis effect does not change with temperature,which is different from stress-sensitivity.(3)Based on the experimental results,a deliverability equation modified with temperature-sensitivity was established.Calculation shows that,ignoring the temperature-sensitivity of permeability will underestimate the performance of gas well,and its effect will aggravate with the increasing elevation and injection flowrate.
作者
郑少婧
郑得文
孙军昌
李春
武志德
朱思南
刘先山
ZHENG Shaojing;ZHENG Dewen;SUN Junchang;LI Chun;WU Zhide;ZHU Sinan;LIU Xianshan(Research Institute of Petroleum Exploration&Development,PetroChina,Beijing 100083,China;Key Laboratory of Oil and Gas Underground Storage,PetroChina,Langfang,Hebei 065007,China)
出处
《石油实验地质》
CAS
CSCD
北大核心
2022年第2期365-372,共8页
Petroleum Geology & Experiment
基金
中国石油集团科学技术研究院有限公司科技项目(2019B-3204)
中国石油天然气股份有限公司重点科技攻关项目(kt2020-16-01)联合资助。
关键词
气藏型储气库
温度敏感性
滞后效应
注采能力
产能方程
gas reservoir storage
temperature-sensitivity
hysteresis effect
injection-production performance
deliverability equation
