›› 2016, Vol. 37 ›› Issue (6): 1-1.doi: 10.7657/XJPG20160614

• 论文 •    

呼图壁储气库全周期交互注采动态评价方法

陈超,庞晶,李道清,崔国强,闫利恒   

  1. (中国石油 新疆油田分公司 勘探开发研究院,新疆 克拉玛依 834000)
  • 出版日期:2019-01-01 发布日期:1905-07-17

A Method for Full-Cycle Alternative Injection-Production Performance Evaluation of Hutubi Underground Gas Storage

CHEN Chao, PANG Jing, LI Daoqing, CUI Guoqiang, YAN Liheng   

  1. (Research Institute of Exploration and Development, Xinjiang Oilfield Company,PetroChina, Karamay, Xinjiang 834000, China)
  • Online:2019-01-01 Published:1905-07-17

摘要: 地下储气库兼具季节调峰和能源战略储备的双重功能,其气井兼具注气和采气功能,相比于采气过程,高压注气过程更具风险性,而且动态评价方法匮乏。注气动态评价是地下储气库安全运行的核心技术之一,其评价准确与否直接关系到储气库的达容效果和调峰能力。基于呼图壁储气库的交互注采运行规律,借鉴采气不稳定产量分析方法,提出一种适用于呼图壁储气库注气运行的渗流模型,通过一系列数学变换创建无因次注气分析图版和拟合方法,再将不稳定注气分析得到的井控半径、表皮系数、渗透率等储渗参数耦合到不稳定注气方程中,实现单井全生命周期的注采历史拟合,并根据应急调峰和地面配套实际情况进行单井压力预测。实践表明,此方法不仅实现了对储气库交互运行中注气能力的定量评价,还能够实现对压力的准确预测,为指导优化配注提供依据。

Abstract: An underground gas storage (USG) has two functions of seasonal peak shaving and strategic energy storage with gas wells acting as both injectors and producers. Compared with gas production process, high-pressure gas injection is more risky and there is no available performance evaluation method. Evaluation of gas injection performance is one of the core technology to guarantee the safe operation of USG and the evaluation accuracy will directly affect the capacity and peak shaving ability of gas storage. Based on the alternative injection-production operation law and by means of unsteady gas production analysis method, the paper presents a flow model suitable for gas injection of Hutubi USG, establishes 2 dimensionless gas-injection analysis charts and a dynamic matching method through a series of mathematical transformation, then puts parameters such as gas injection radius, skin factor and permeability etc. obtained from the unsteady gas injection analysis into the unsteady gas injection equation to realize full-cycle injection-production history matching for single wells, and finally performs well pressure prediction according to the actual situations of emergency peak shaving and surface facilities. The practice shows that the method could realize not only the quantitative evaluation of gas injection capacity of UGS, but also the accurate pressure prediction, which could provide the basis for optimization of gas injection allocation.

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