页岩气井产量递减分析方法选择研究

摘要/Abstract

摘要：

页岩气藏开发递减规律有Arps模型,SEPD模型,Duong模型以及它们之间的组合模型等.Arps递减规律是气井产量递减分析的主要方法.递减规律模型的选择主要有两种方法:第一种是单一的转化为线性关系,利用线性回归,选择相关系数高的作为分析方法.第二种组合递减模型,可以组合成多种模型,主要利用非线性回归,选择相关系数高的作为分析方法.提出一种新的选择产量递减分析方法,利用各种递减规律的线性组合,分析每种递减规律与实际生产数据的关联程度,根据关联程度的高低排序选择递减分析方法,该方法通过实际生产数据分析,生产数据拟合精度高,为递减分析方法选择提供依据.

关键词: 产量递减, Arps模型, SEPD模型, Duong模型, 组合模型

Abstract:

There are several methods of the production decline analysis during the shale gas reservoir development, such as the Arps model, the SEPD model, the Duong model and their composition models. Among them, the Arps model is the main method. There are two main choices of the appropriate decline methods. One is to transform the data into the linear relationship and the method with high correlation coefficient can be deemed as the better model. The other is to use the non-linear regression by the combination of the above models and choose the analysis method with high correlation coefficient. Then we proposed a new method to choose the production decline analysis model, and obtained the relation degree by comparing the linear combination of the different decline analysis models with the practical production data, furthermore, according to the degree of correlation in order, selected the production decline analysis method. This method is validated by the high fitting precision between the calculated results and the production data, which provides a reliable and reasonable way to choose the production decline models.

Key words: production decline, Arps model, SEPD model, Duong model, composition model

中图分类号:

TE328

陈强,王怒涛,阮开贵,张梦丽. 页岩气井产量递减分析方法选择研究[J]. 油气藏评价与开发, 2018, 8(2): 76-79.

Chen Qiang,Wang Nutao,Ruan Kaigui,Zhang Mengli. Selection of production decline analysis method of shale gas well[J]. Reservoir Evaluation and Development, 2018, 8(2): 76-79.

图/表 4

参考文献 22

[1]	Arps J J . Analysis of decline curves[J]. Petroleum transactions, 1945,160(1):228-247.
[2]	姚猛, 胡嘉, 李勇 , 等. 页岩气藏生产井产量递减规律研究[J]. 天然气与石油, 2014,32(1):63-66. doi: 10.3969/j.issn.1006-5539.2014.01.017
[3]	白玉湖, 陈桂华, 徐兵祥 , 等. 页岩气产量递减典型曲线模型及对比研究[J]. 中国石油勘探, 2016,21(5):96-102. doi: 10.3969/j.issn.1672-7703.2016.05.0013
[4]	齐亚东, 王军磊, 庞正炼 , 等. 非常规油气井产量递减规律分析新模型[J]. 中国矿业大学学报, 2016,45(4):772-778.
[5]	张荻萩, 李治平, 苏皓 . 页岩气产量递减规律研究[J]. 岩性油气藏, 2015,27(6):138-144. doi: 10.3969/j.issn.1673-8926.2015.06.019
[6]	雷丹凤, 王莉, 张晓伟 , 等. 页岩气井扩展指数递减模型研究[J]. 断块油气田, 2014,21(1):66-68. doi: 10.6056/dkyqt201401016
[7]	Mattar L, Moghadam S. Modified power law exponential decline for tight gas[C]// paper PETSOC-2009-198 presented at the Canadian International Petroleum Conference,16-18 June 2009, Calgary, Alberta,Canada.
[8]	Fulford D S, Blasingame T A. Evaluation of time-rate performance of shale wells using the transient hyperbolic relation[C]// paper SPE-167242-MS presented at the SPE Unconventional Resources Conference, 5-7 November 2013, Calgary, Alberta,Canada.
[9]	Valko P P. Assigning value to stimulation in the Barnett Shale: a simultaneous analysis of 7 000 plus production hystories and well completion records[C]// paper SPE-119369-MS presented at the SPE Hydraulic Fracturing Technology Conference,19-21 January 2009, The Woodlands, Texas, USA.
[10]	Can B, Kabir S . Probabilistic production forecasting for unconventional reservoirs with stretched exponential production decline model[J]. Spe Reservoir Evaluation & Engineering, 2012,15(1):41-50.
[11]	曾宪兵, 李晓明 . 产能递减分析方法在气田动态分析中的应用[J]. 石油化工应用, 2013,32(5):5-7. doi: 10.3969/j.issn.1673-5285.2013.05.002
[12]	白玉湖, 陈桂华, 徐兵祥 , 等. 页岩气产量递减典型曲线模型及对比研究[J]. 中国石油勘探, 2016,21(5):96-102. doi: 10.3969/j.issn.1672-7703.2016.05.0013
[13]	B. Can, 张亚雄, 芦鸯梅, , 等. 概率法预测非常规油气藏产量的广延指数递减模型[J]. 石油地质科技动态, 2012,31(4):1-18.
[14]	Valko P P, Lee W J. A better way to forecast production from unconventional gas wells[C]// paper SPE-134231-MS presented at the SPE Annual Technical Conference and Exhibition,19-22 September 2010, Florence, Italy.
[15]	Duong A N. An unconventional rate decline approach for tight and fracture-dominated gas wells[C]// paper SPE-137748-MS presented at the Canadian Unconventional Resources and International Petroleum Conference,19-21 October 2010, Calgary, Alberta,Canada.
[16]	Zhang M Y, Ambastha A K. New insights in pressure-transient analysis for stress-sensitive reservoirs[C]// paper SPE-28420-MS presented at the SPE Annual Technical Conference and Exhibition,25-28 September 1994,New Orleans, Louisiana, USA.
[17]	Vairogs J, Rhoades V W . Pressure transient tests in formations having stress-sensitive permeability[J]. Pressure transient tests in formations having stress-sensitive permeability, 1973,25(8):965-970.
[18]	Yu Shaoyong, Lee W J, Miocevic D J, et al. Estimating proved reserves in tight/shale wells using the modified SEPD method[C]//paper SPE-166198-MS presented at the SPE Annual Technical Conference and Exhibition,30 September-2 October 2013,New Orleans, Louisiana, USA.
[19]	Yu S. Best practice of using empirical methods for production forecast and EUR estimation in tight/shale gas reservoirs[C]// paper SPE-167118-MS presented at the SPE Unconventional Resources Conference Canada,5-7 November 2013, Calgary, Alberta,Canada.
[20]	马青, 龚文平 . 一种新的产量递减阶段产量预测模型[J]. 石油天然气学报, 2006,28(6):150-152. doi: 10.3969/j.issn.1000-9752.2006.06.045
[21]	刘传斌, 姜汉桥, 李俊键 , 等. 预测页岩气产量递减组合模型的研究[J]. 断块油气田, 2015,22(4):481-483. doi: 10.6056/dkyqt201504016
[22]	刘传斌, 姜汉桥, 李俊键 , 等. 页岩气产量递减变化组合模型的探讨[J]. 断块油气田, 2015,22(6):770-772.

模型	拟合相关系数	可采储量/亿方
Arps模型	0.722	1.05
SEPD模型	0.616	1.7
Duong模型	0.817	5.56
本文组合模型	0.925 9	2.577