相国寺储气库注采井井筒温度压力预测
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摘要
井筒温度和压力是储气库注采井生产运行中的重要参数,准确预测井筒温度和压力分布是优化注采方案和进行注采井完整性评价的基础和关键。目前注采井井下温度和压力监测主要采用绳索或连续油管下入监测仪器的方式,然而对于具有大斜度、水平井、完井管柱结构复杂、注采气量大等特点的相国寺储气库注采井存在作业风险大、费用高等问题。为此,利用PIPESIM软件建立了管柱流动模型,基于预测值和连续油管实测值,优选了摩阻系数和传热系数,并对相国寺储气库气井进行了平衡期、注气和采气阶段井筒温度和压力分布预测。结果表明:温度预测值与实测值的相对误差小于5%,压力预测值与实测值的相对误差小于2%,预测精度可接受,可满足注采井温度压力预测的需求,并可适当减少下连续油管测试次数以及作业带来的风险,可为储气库井注采方案优化和井筒压力评价提供依据。
Wellbore temperature and pressure are important parameters in the production and operation of gas injection and production wells. Accurate prediction of wellbore temperature and pressure distribution is the basis to optimize the injection-production plan and the integrity evaluation of injection-production wells. At present, the temperature and pressure monitoring of injection and production wells mainly rely on the way of ropes or coiled tubing. However, for the large-slope wells, horizontal wells, complex string structure, large gas injection and production,.Problems such as high operation risk and high cost.So, PIPESIM software is used to establish the physical flow model. Based on the predicted values and the measured values, the friction coefficient and the heat transfer coefficient is preferred, Prediction of wellbore temperature and pressure distribution during the balance period, gas injection and gas production of the gas reservoir of Xiangguosi gas storage. The results show that the relative error between the predicted temperature value and the measured temperature value is less than 5%, the relative error between the predicted pressure value and the measured pressure value is less than 2%, and the prediction accuracy is acceptable. It can meet the demand of prediction, and can reduce the times of continuous coiled tubing test and the risk caused by operation. It can provide basis for optimization of injection and production plan and evaluation of wellbore pressure in gas storage wells.
Wellbore temperature and pressure are important parameters in the production and operation of gas injection and production wells. Accurate prediction of wellbore temperature and pressure distribution is the basis to optimize the injection-production plan and the integrity evaluation of injection-production wells. At present, the temperature and pressure monitoring of injection and production wells mainly rely on the way of ropes or coiled tubing. However, for the large-slope wells, horizontal wells, complex string structure, large gas injection and production,.Problems such as high operation risk and high cost.So, PIPESIM software is used to establish the physical flow model. Based on the predicted values and the measured values, the friction coefficient and the heat transfer coefficient is preferred, Prediction of wellbore temperature and pressure distribution during the balance period, gas injection and gas production of the gas reservoir of Xiangguosi gas storage. The results show that the relative error between the predicted temperature value and the measured temperature value is less than 5%, the relative error between the predicted pressure value and the measured pressure value is less than 2%, and the prediction accuracy is acceptable. It can meet the demand of prediction, and can reduce the times of continuous coiled tubing test and the risk caused by operation. It can provide basis for optimization of injection and production plan and evaluation of wellbore pressure in gas storage wells.
引文
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[2] 王霞.储气库井生产动态分析方法及应用[D].成都:西南石油大学,2015.
[3] 何轶果,张芳芳,王威林,等.连续油管动态监测技术在相国寺储气库中的应用[C]// 天燃气管道技术研讨会.2014.
[4] 李波,王军磊,宁波,等.气井井筒温度、压力与积液综合预测模型[J].石油钻采工艺,2014,40(4):64-70.
[5] 赖枫鹏,李治平,曲建麟.考虑井温变化的高压气井井筒压力预测方法[J].新疆石油地质,2010,31(6):641-643.
[6] 刘岩,李隽,王云.气藏储气库注采井井筒监测技术现状及发展方向[J].天然气技术与经济,2016,35(1):35-37.
[7] 任虹宇,谢果,江洋,等.输气管道仿真中摩阻系数相关参数设置[J].天然气与石油,2013,31(1):20-23.
[8] 蔡珺君.水平井井筒温度预测及解释模型研究[D].成都:西南石油大学,2016.
[9] 宋戈.气井井筒瞬态温度压力耦合模型研究[D].成都:西南石油大学,2015.