考虑吸附气影响的页岩气井三项式产能计算方法

doi:10.3969/j.issn.1006-6535.2023.03.017

特种油气藏 ›› 2023, Vol. 30 ›› Issue (3): 137-142.DOI: 10.3969/j.issn.1006-6535.2023.03.017

考虑吸附气影响的页岩气井三项式产能计算方法

房大志¹, 刘洪², 庞进², 谷红陶¹, 马伟骏¹

1.中国石化重庆页岩气公司,重庆 408400;
2.重庆科技学院,重庆 401331

收稿日期:2022-06-22 修回日期:2023-02-16 出版日期:2023-06-25 发布日期:2023-07-13
作者简介:房大志(1984—),男,副研究员,2006年毕业于中国石油大学(北京)环境科学专业,2009年毕业于该校石油地质专业,获硕士学位,现主要从事非常规油气勘探开发工作。
基金资助:
国家科技重大专项“彭水地区常压页岩气开发技术政策及气藏工程方案”(2016ZX05061-016);中国石化重大科技项目“南川复杂构造带页岩气勘探开发关键技术”(P19017-3)

A Trinomial Deliverability Calculation Method for Shale Gas Wells Considering the Effect of Adsorbed Gas

Fang Dazhi¹, Liu Hong², Pang Jin², Gu Hongtao¹, Ma Weijun¹

1. Sinopec Chongqing Shale Gas Company, Chongqing 408400, China;
2. Chongqing University of Science and Technology, Chongqing 401331, China

Received:2022-06-22 Revised:2023-02-16 Online:2023-06-25 Published:2023-07-13

摘要/Abstract

摘要： 针对页岩气吸附解吸对生产井产能影响规律不清晰的问题,基于致密气井的渗流特征和产能方程,从气体渗流微分方程出发,结合Langmuir等温吸附公式,建立考虑页岩气吸附解吸的产能模型,根据页岩气井的钻完井和动态监测资料计算了页岩气井不同解吸时间下的产能和无阻流量,并根据回压试井资料,将吸附气影响转化为附加阻力系数,形成三项式产能计算方程,利用该方程研究了吸附气对页岩气产能计算的影响。结果表明:吸附气会导致页岩气井初期产能计算值偏高,解吸10 d后计算的无阻流量相对稳定;吸附气含量对页岩气井产能影响较大,吸附压力对产能影响较小;三项式产能计算结果与解析法模型计算结果误差小于12%,结果较为可靠。研究成果可为页岩气井产能评价提供参考。

关键词: 页岩气, 产能, 三项式, 吸附气

Abstract: To address the problem of the unclear effect law of the shale gas adsorption-desorption on the deliverability of production wells, based on the seepage characteristics and deliverability equation of tight gas wells, a deliverability model considering shale gas adsorption-desorption was established with reference to the gas seepage differential equation and in combination with the Langmuir isothermal adsorption equation; the deliverability and open flow capacity of shale gas wells under different desorption time were calculated based on the drilling and completion and dynamic monitoring data of shale gas wells, and the effect of adsorbed gas was transformed into additional resistance coefficients based on the information of back-pressure well testing to form a trinomial deliverability calculation equation, and this equation was used to study the effect of adsorbed gas on shale gas deliverability calculation. The results show that the adsorbed gas will cause a higher initial deliverability calculation value of shale gas wells, and the calculated open flow capacity is relatively stable after 10 d of desorption; the adsorbed gas content has a greater influence on the deliverability of shale gas wells, and the adsorption pressure has a smaller influence on the deliverability; the error between the results of the trinomial deliverability calculation and the analytical method model calculation is less than 12%, and the results are more reliable. The research results can be used as a reference for the deliverability evaluation of shale gas wells.

Key words: shale gas, deliverability, trinomial, adsorbed gas

中图分类号:

TE332

房大志, 刘洪, 庞进, 谷红陶, 马伟骏. 考虑吸附气影响的页岩气井三项式产能计算方法[J]. 特种油气藏, 2023, 30(3): 137-142.

Fang Dazhi, Liu Hong, Pang Jin, Gu Hongtao, Ma Weijun. A Trinomial Deliverability Calculation Method for Shale Gas Wells Considering the Effect of Adsorbed Gas[J]. Special Oil & Gas Reservoirs, 2023, 30(3): 137-142.

参考文献

[1] DILHAN Ilk,STEPHANIE Marie Currie,DAVE Symmons,et al.Hybrid rate-decline models for the analysis of production performance in unconventional reservoirs[C].SPE135616,2010:1-39.
[2] PETER P,VALKO W,JOHN Lee.A better way to forecast production from unconventional gas wells[C].SPE134231-MS,2010:1-16.
[3] ANH N D.An unconventional rate decline approach for tight and fracture-dominated gas wells [C].SPE137748-MS,2010:1-15.
[4] AARON James Clark,LARRY Wayne Lake,TADEUSZ Wiktor Patzek.Production forecasting with logistic growth models[C].SPE144790-MS,2011:1-11.
[5] 陈元千,徐佳倩,傅礼兵,等.对SEPD模型和YM-SEPD方法的评论及PEPD模型的建立与应用[J].断块油气田,2020,27(6):766-769.
CHEN Yuanqian,XU Jiaqian,FU Libing,et al.Review for SEPD model and YM-SEPD method,as well as establishment and application of PEPD model[J].Fault-Block Oil & Gas Field,2020,27(6):766-769.
[6] CARLSON Eric S,MERCER James C.Devonian shale gas production:mechanisms and simple models[J].Journal of Petroleum technology,1991,43(4):476-482.
[7] MARC Kevin Fishe,CHRISTOPHER A Wright,BRIAN Michael Davidso,et al.Integrating fracture mapping technologies to improve stimulations in the Barnett shale[J].SPE Production & Facilities,2005,20(2):85-93.
[8] AL-AHMA H A,WATTENBARGER R A.Triple-porosity models:one further step towards capturing fractured reservoirs heterogeneity[C].SPE149054-MS,2011:1-21.
[9] 任俊杰,郭平,王德龙,等.页岩气藏压裂水平井产能模型及影响因素[J].东北石油大学学报,2012,36(6):76-81.
REN Junjie,GUO Ping,WANG Delong,et al.Productivity model of fractured horizontal wells in shale gas reservoirs and analysis of influential factors[J].Journal of Northeast Petroleum University,2012,36(6):76-81.
[10] ZHAO Yulong,ZHANG Liehui,ZHAO Jinzhou,et al.“Triple porosity” modeling of transient well test and rate decline analysis for multi-fractured horizontal well in shale gas reservoirs[J].Journal of Petroleum Science and Engineering,2013,110(9):253-262.
[11] SHI Juntai,ZHANG Lei,LI Yuansheng,et al.Diffusion and flow mechanisms of shale gas through matrix pores and gas production forecasting[C].SPE167226-MS,2013:1-19.
[12] WANG Haitao.Performance of multiple fractured horizontal wells in shale gas reservoirs with consideration of multiple mechanisms[J].Journal of Hydrology,2014,510(4):299-312.
[13] 董鹏,陈志明,于伟.压裂后页岩油藏多裂缝直井产能模型:以鄂尔多斯盆地页岩油井为例[J].大庆石油地质与开发,2022,41(1):155-165.
DONG Peng,CHEN Zhiming,YU Wei.Study on productivity model for multiple-fracture vertical well in shale oil reservoirs after fractured:a case of shale oil wells in Ordos Basin[J].Petroleum Geology & Oilfield Development in Daqing,2022,41(1):155-165.
[14] 邱凯旋,李恒,张丽霞,等.考虑定压生产的陆相页岩气藏多层窜流产能模型[J].非常规油气,2023,10(1):104-110.
QIU Kaixuan,LI Heng,ZHANG Lixia,et al.Continental shale gas reservoir interlayer crossflow production model considering constant pressure condition[J].Unconventional Oil & Gas,2023,10(1):104-110.
[15] 姜瑞忠,刘秀伟,王星,等.煤层气藏多分支水平井非稳态产能模型[J].油气地质与采收率,2020,27(3):48-56.
JIANG Ruizhong,LIU Xiuwei,WANG Xing,et al.Unsteady productivity model for multi-branched horizontal wells in coalbed methane reservoir[J].Petroleum Geology and Recovery Efficiency,2020,27(3):48-56.
[16] 郑亚军,刘宝成,张旭泽,等.数据驱动与地质规律融合的超低渗油藏产能预测方法[J].石油地质与工程,2022,36(4):75-81.
ZHENG Yajun,LIU Baocheng,ZHANG Xuze,et al.Productivity prediction method of ultra-low permeability reservoir based on data-driven and geological law[J].Petroleum Geology & Engineering,2022,36(4):75-81.
[17] 赵迪斐,郭英海,朱炎铭,等.深层海相页岩储层精准评价与开发选层的评价体系问题评述[J].非常规油气,2022,9(2):1-7.
ZHAO Difei,GUO Yinghai,ZHU Yanming,et al.Comments on the evaluation system of accurate evaluation and selection of deep marine shale reservoirs[J].Unconventional Oil & Gas,2022,9(2):1-7.
[18] 赵国翔,姚约东,王链,等.页岩油藏微尺度流动特征及应力敏感性分析[J].断块油气田,2021,28(2):247-252.
ZHAO Guoxiang,YAO Yuedong,WANG Lian,et al.Microscale transport behaviors of shale oil and stress sensitivity analysis[J].Fault-Block Oil & Gas Field,2021,28(2):247-252.
[19] FRANTZ J H,WILLIAMSON J R.Evaluating Barnett Shale production performance-using an integrated approach[C].SPE96917-MS,2005:1-18.
[20] BUSTIN A M M,BUETIN R M,CUI Xiaojun.Importance of fabric on the production of gas shale[C].SPE114167-MS,2008:1-29.
[21] WU Yushu,MORIDIS George,BAI Baojun,et al.A multi-continuum method for gas production in tight fracture reservoirs[C].SPE118944.2009:1-16.
[22] FREEMAN Craig Moridis,GEORGE J,DILHAN Ilk,et al.A numerical study of transport and storage effects for tight gas and shale gas reservoirs[C].SPE131583,2009:1-20.

考虑吸附气影响的页岩气井三项式产能计算方法

A Trinomial Deliverability Calculation Method for Shale Gas Wells Considering the Effect of Adsorbed Gas

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