综合研究

储气库多周期运行井控参数预测模型

  • 张思远 ,
  • 杨佳坤 ,
  • 宋丽娜 ,
  • 周栋梁 ,
  • 胡俊 ,
  • 许锋 ,
  • 施玉霞 ,
  • 胥洪成 ,
  • 裴根 ,
  • 范家屹
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  • 1.国家管网集团中原储气库有限责任公司,河南 濮阳 457000
    2.中国石油勘探开发研究院,北京 100083
张思远(1989—),男,本科,工程师,从事储气库气藏管理工作。地址:河南省濮阳市华龙区胜利路中原储气库公司,邮政编码:457000。E-mail:798544045@qq.com
宋丽娜(1992—),女,硕士,工程师,从事储气库方案设计、库容评估。地址:北京市海淀区学院路20号,邮政编码:100083。E-mail:song.lina@petrochina.com.cn

收稿日期: 2023-09-14

  网络出版日期: 2024-10-11

基金资助

国家管网集团西气东输公司科技项目“文23储气库多周期运行井控及其变化规律研究”(KJ202205)

Well control diagnosis model of underground gas storage in multi-cycle operation

  • ZHANG Siyuan ,
  • YANG Jiakun ,
  • SONG Lina ,
  • ZHOU Dongliang ,
  • HU Jun ,
  • XU Feng ,
  • SHI Yuxia ,
  • XU Hongcheng ,
  • PEI Gen ,
  • FAN Jiayi
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  • 1. PipeChina Zhongyuan Gas Storage Co., Ltd., Puyang, Henan 457000, China
    2. PetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, China

Received date: 2023-09-14

  Online published: 2024-10-11

摘要

储气库是保障国家能源安全的重要手段,储气库多周期运行井控参数预测对储气库高效运行具有重要意义。为解决文23储气库目前注采运行动态规律认识不清,难以制定有效的储气库优化调整方案的问题,使用产量不稳定分析法为主的方法,建立储气库多周期运行井控参数预测模型,剖析井控参数随储气库开发的变化规律。首先,对文23储气库气井生产动态数据进行预处理,与储层参数一起输入至RTA软件中完成基础的数据整理及加载,并建立注采气组分相态模型,计算天然气高压物性参数;然后,根据气井压力恢复试井资料分析储气库地层渗流特征,建立及筛选最优井筒管流模型,用于计算气井井底压力;最后,使用Blasingame图版分析方法拟合井控参数建立基础模型,并通过拟合储气库气井生产数据,调整基础模型从而获得储气库多周期运行井控参数预测模型。使用所建井控参数预测模型对文23储气库气井多周期运行后井控参数进行预测,结果显示:可根据气井生产动态及井控特征将文23储气库气井分为3类,3类气井占比分别为39%、34%、27%;根据所建模型进行多周期井控参数变化分析,随着多周期注采运行,储气库多周期井控半径整体表现为初期增幅大,后期增幅减缓的趋势,储气库平均井控体积不断增加,3个类型的气井所控制储层的有效渗透率均呈先增加后稳定的趋势。

本文引用格式

张思远 , 杨佳坤 , 宋丽娜 , 周栋梁 , 胡俊 , 许锋 , 施玉霞 , 胥洪成 , 裴根 , 范家屹 . 储气库多周期运行井控参数预测模型[J]. 油气藏评价与开发, 2024 , 14(5) : 788 -794 . DOI: 10.13809/j.cnki.cn32-1825/te.2024.05.015

Abstract

Underground gas storage(UGS) plays a crucial role in ensuring national energy security. Predicting multi-cycle well control parameters is key to the efficient operation of UGS facilities. Due to the complexities involved in understanding the operation patterns of W23 UGS and the challenges in developing effective schemes, a prediction model for well control parameters in multi-cycle operations has been developed using the rate-transient analysis method, and the change pattern of well control parameters with the development of UGS is analyzed. The process begins with preprocessing the dynamic production data from W23 UGS, which is then inputted into RTA software along with the reservoir parameters. The Dranchuk-Abu-Kassem model calculates the high-pressure physical properties of natural gas. Following this, the seepage characteristics of W23 UGS are examined, and the optimal wellbore conduit flow model is selected to determine the bottomhole pressure in the gas wells. The Blasingame pattern analysis method is then applied to fit the well control parameters and establish a basic model, such as the well control radius. By adjusting the model with production data, a refined prediction model for multi-cycle operation is developed. This model is utilized to categorize the wells of W23 UGS based on their production performance and control characteristics. The results categorize the wells into three types, with distribution ratios of 39%, 34%, and 27%, respectively. The predictive model reveals that during UGS operation, the well control radius of the gas wells initially increases significantly, then stabilizes. Similarly, the average well control volume of the gas reservoir continues to rise, and the effective permeability of the reservoir influenced by the three categories of wells initially increases before stabilizing.

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