西南石油大学学报(自然科学版) ›› 2019, Vol. 41 ›› Issue (6): 124-131.DOI: 10.11885/j.issn.1674-5086.2019.09.16.09

• 页岩气开发专刊 • 上一篇    下一篇

页岩气井EUR快速评价新方法

赵玉龙1, 梁洪彬1, 井翠2, 商绍芬3, 李成勇4   

  1. 1. 油气藏地质及开发工程国家重点实验室·西南石油大学, 四川 成都 610500;
    2. 四川长宁天然气开发有限责任公司, 四川 成都 610051;
    3. 中国石油西南油气田分公司蜀南气矿, 四川 泸州 646001;
    4. 成都理工大学能源学院, 四川 成都 610059
  • 收稿日期:2019-09-16 出版日期:2019-12-10 发布日期:2019-12-10
  • 通讯作者: 赵玉龙,E-mail:373104686@qq.com
  • 作者简介:赵玉龙,1986年生,男,汉族,湖北仙桃人,副教授,主要从事复杂油气藏渗流理论及试井分析等方面的教学与科研工作。E-mail:373104686@qq.com;梁洪彬,1991年生,男,汉族,河北任丘人,博士研究生,主要从事非常规油气藏渗流理论及数值模拟方面的研究工作。E-mail:liang_hongbin@qq.com;井翠,1986年生,女,汉族,陕西咸阳人,工程师,主要从事页岩气勘探开发技术研究与管理工作。E-mail:258632330@qq.com;商绍芬,1968年生,女,汉族,四川泸州人,工程师,主要从事油气田开发方面的研究工作。E-mail:shangshaofen@petrochina.com.cn;李成勇,1981年生,男,汉族,重庆开县人,教授,主要从事复杂油气藏渗流理论及应用领域的教学和科研工作。E-mail:lichengyong1981@126.com
  • 基金资助:
    国家自然科学基金(51874251);四川省科技计划重点研发项目(2018JZ0079)

A New Method for Quick EUR Evaluation of Shale Gas Wells

ZHAO Yulong1, LIANG Hongbin1, JING Cui2, SHANG Shaofen3, LI Chengyong4   

  1. 1. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, Sichuan 610500, China;
    2. Sichuan Changning Natural Gas Development Company Limited, Chengdu, Sichuan 610051, China;
    3. Southern Sichuan Gas District, PetroChina Southwest Oil&Gas Field Company, Luzhou, Sichuan 646001, China;
    4. College of Energy, Chengdu University of Technology, Chengdu, Sichuan 610059, China
  • Received:2019-09-16 Online:2019-12-10 Published:2019-12-10

摘要: 页岩气井通常采用控压进行生产,这既可降低储层应力敏感效应,又可改善气井生产效果,提高气井最终可采储量(EUR)。同时,频繁变更工作制度又会导致气井生产数据波动剧烈,给准确预测气井EUR带来了新的挑战。因此,通过对现有气井生产数据处理方法的综合分析,首先,开展了变工作制度下波动数据降噪方法的研究,结果表明双对数坐标系下的压力规整化产量-物质平衡时间图版能使波动数据得到有效的收敛;然后,基于降噪处理后的数据形态特征,建立了页岩气井EUR评价新模型,提出了一套页岩气井EUR评价新方法。实例分析表明,新方法与经典方法的评价结果相近,确保了新方法的可靠性;同时,新方法操作更简便,计算更高效,避免了经典方法中参数多、拟合难的问题,可更加快速地完成页岩气井EUR评价。

关键词: 页岩气, 最终可采储量, 控压生产, 产量递减模型, 数据处理

Abstract: Managed pressure drilling (MPD) is usually applied to shale gas, which can reduce reservoir stress sensitivity, improve production and increase the estimated ultimate recovery (EUR) of gas wells. However, the frequent change of working system leads to the fluctuation of production data, and brings new challenges to accurately EUR prediction. Therefore, based on the analysis of data processing methods, the method of noise reduction for data fluctuation is firstly completed, and the data can effectively converge in the double logarithmic coordinate after using pressure normalization production and material balance time. Then, the EUR model of shale gas well is established based on the data characteristics after noise reduction. Finally, a new evaluation method of EUR for shale gas wells is proposed. Compared with the results of the new method and classical method based on the field production data of the shale gas well, the new method is proved reliable. It is easier to operate and calculate than the classical method, which is difficult to fit due to multiple parameters. Therefore, this method can be applied to quick EUR evaluation of shale gas wells.

Key words: shale gas, EUR, restrict rate, production decline model, data processing

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