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页岩气井EUR快速评价新方法
引用本文:赵玉龙,梁洪彬,井翠,商绍芬,李成勇.页岩气井EUR快速评价新方法[J].西南石油大学学报(自然科学版),2019,41(6):124-131.
作者姓名:赵玉龙  梁洪彬  井翠  商绍芬  李成勇
作者单位: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
基金项目:国家自然科学基金(51874251);四川省科技计划重点研发项目(2018JZ0079)
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  
收稿时间:2019-09-16

A New Method for Quick EUR Evaluation of Shale Gas Wells
ZHAO Yulong,LIANG Hongbin,JING Cui,SHANG Shaofen,LI Chengyong.A New Method for Quick EUR Evaluation of Shale Gas Wells[J].Journal of Southwest Petroleum University(Seience & Technology Edition),2019,41(6):124-131.
Authors:ZHAO Yulong  LIANG Hongbin  JING Cui  SHANG Shaofen  LI Chengyong
Institution: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
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.
Keywords:shale gas  EUR  restrict rate  production decline model  data processing  
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