Comprehensive Research

Research on a new combination method of production decline analysis for tight oil: Cases study of Mahu tight reservoir

  • Wenfeng LIU ,
  • Xuyang ZHANG ,
  • Shuyao SHENG ,
  • Kang WANG ,
  • Yonggang DUAN ,
  • Mingqiang WEI
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  • 1. Baikouquan Oil Production Plant, PetroChina Xinjiang Oilfield Company, Karamay, Xinjiang 834000, China
    2. School of Petroleum Engineering, Southwest Petroleum University, Chengdu, Sichuan 610500, China

Received date: 2020-10-11

  Online published: 2021-12-31

Abstract

In the tight reservoir like mahu with strong heterogeneity, large differences in the productivity of oil wells and obvious differences in the decline characteristics, the production decline analysis and prediction have important guiding significance to the management of oil well production system and the preparation and optimization of oil field development plan, and are also an important part of reservoir performance analysis. However, the traditional empirical decline models used today, such as the Arps production decline model, power law exponential decline model, Valkó extended exponential decline model, and Duong decline model, have different applicability. When using these methods to fit the production data of the fractured horizontal wells in the Mahu tight reservoir, the accuracy of the fitted results is low. Therefore, a new method of combination that uses different models for fitting in stages based on the model fitting results of Mahu oil wells in different stages is explored, and the examples are applied to verify it in this block. The research results show that this new method has lower error rate and higher degree of agreement than the traditional ones. In addition, by using this method, the prediction results of Estimated Ultimate Recovery(EUR) for the tight oil wells in Mahu reservoir are more accurate, and the method is highly feasible, which can be used as a reference for the research on the production decline law and the productivity prediction of other similar tight oil reservoirs.

Cite this article

Wenfeng LIU , Xuyang ZHANG , Shuyao SHENG , Kang WANG , Yonggang DUAN , Mingqiang WEI . Research on a new combination method of production decline analysis for tight oil: Cases study of Mahu tight reservoir[J]. Petroleum Reservoir Evaluation and Development, 2021 , 11(6) : 911 -916 . DOI: 10.13809/j.cnki.cn32-1825/te.2021.06.017

References

[1] 许江文, 李建民, 邬元月, 等. 玛湖致密砾岩油藏水平井体积压裂技术探索与实践[J]. 中国石油勘探, 2019, 24(2):241-249.
[1] XU Jiangwen, LI Jianmin, WU Yuanyue, et al. Exploration and practice of volume fracturing technology in horizontal well of Mahu tight conglomerate reservoirs[J]. China Petroleum Exploration, 2019, 24(2):241-249.
[2] 许建红, 钱俪丹, 库尔班. 储层非均质对油田开发效果的影响[J]. 断块油气田, 2007, 14(5):29-31.
[2] XU Jianhong, QIAN Lidan, Kuerban. Influence of reservoir heterogeneity on oilfield development effectiveness[J]. Fault-Block Oil & Gas Field, 2007, 14(5):29-31.
[3] 彭金宁, 邱岐, 王东燕, 等. 苏北盆地古近系阜宁组致密油赋存状态与可动用性[J]. 石油实验地质, 2020, 42(1):53-59.
[3] PENG Jinning, QIU Qi, WANG Dongyan, et al. Occurrence and recoverability of tight oil in Paleogene Funing Formation, Subei Basin[J]. Petroleum Geology & Experiment, 2020, 42(1):53-59.
[4] 崔维兰, 韩华峰, 张永, 等. 鄂尔多斯盆地靖边油田李家城则地区长6致密油储层微观特征与含油性[J]. 石油实验地质, 2019, 41(3):390-397.
[4] CUI Weilan, HAN Huafeng, ZHANG Yong, et al. Microscopic characteristics and oil content of Chang 6 tight sandstone reservoirs in Lijiachengze area, Jingbian Oil Field, Ordos Basin[J]. Petroleum Geology & Experiment, 2019, 41(3):390-397.
[5] ARNOLD R, ANDERSON R. Preliminary report on Coalinga Oil District, Fresno and Kings Counties, California[J]. United States Geological Survey Bulletin, 1908, 357:79-80.
[6] ARPS J J. Analysis of decline curves[J]. Transactions of the American Institute of Mining, Metallurgical and Petroleum Engineers, 1945, 160:228-247.
[7] 童孝华, 匡建超. 油气藏工程基础[M]. 北京: 石油工业出版社, 1996:173-193.
[7] TONG Xiaohua, KUANG Jianchao. Foundation of oil and gas reservoir engineering[M]. Beijing: Petroleum Industry Press, 1996: 173-193.
[8] 陈元千. 广义的КОПЫТОВ公式及其应用[J]. 石油勘探与开发, 1991, 18(1):56-61.
[8] CHEN Yuanqian. Generalized KOPATOV’s Formula and its Application[J]. Petroleum Exploration and Development, 1991, 18(1):56-61.
[9] FETKOVICH M J. Decline curve analysis using type curves[J]. Journal of Petroleum Technology, 1980, 32(6):1065-1077.
[10] BLASINGAME T A, JOHNSTON J L, LEE W J. Type-curve analysis using the pressure integral method[C]// Paper SPE-18799-MS presented at the SPE California Regional Meeting, Bakersfield, California, USA,April 5-7, 1989.
[11] BLASINGAME T A, MCCRAY T L, LEE W J. Decline curve analysis for variable pressure drop/variable flowrate systems[C]// Paper SPE-21513-MS presented at the Gas Technology Symposium, Houston, Texas, USA, January 22-24, 1991.
[12] MATTAR L, MCNEIL R. The "flowing" gas material balance[J]. Journal of Canadian Petroleum Technology, 1998, 37(2):52-55.
[13] AGARWAL R G, GARDNER D C, KLEINSTEIBER S W, et al. Analyzing well production data using combined type curve and decline curve analysis concepts[J]. SPE Reservoir Evaluation & Engineering, 1999, 2(5):478-486.
[14] 刘晓华, 邹春梅, 姜艳东, 等. 现代产量递减分析基本原理与应用[J]. 天然气工业, 2010, 30(5):50-54.
[14] LIU Xiaohua, ZOU Chunmei, JIANG Yandong, et al. Theory and application of modern production decline analysis[J]. Natural Gas Industry, 2010, 30(5):50-54.
[15] 于荣泽, 姜巍, 张晓伟, 等. 页岩气藏经验产量递减分析方法研究现状[J]. 中国石油勘探, 2018, 23(1):109-116.
[15] YU Rongze, JIANG Wei, ZHANG Xiaowei, et al. A review of empirical production decline analysis methods for shale gas reservoir[J]. China Petroleum Exploration, 2018, 23(1):109-116.
[16] 郝明强, 胡永乐, 李凡华. 特低渗透油藏压裂水平井产量递减规律[J]. 石油学报, 2012, 33(2):269-273.
[16] HAO Mingqiang, HU Yongle, LI Fanhua. Production decline laws of fractured horizontal wells in ultra-low permeability reservoirs[J]. Acta Petrolei Sinica, 2012, 33(2):269-273.
[17] 陈劲松, 曹健志, 韩洪宝, 等. 页岩油气井常用产量预测模型适应性分析[J]. 非常规油气, 2019, 6(3):48-57.
[17] CHEN Jingsong, CAO Jianzhi, HAN Hongbao, et al. Adapt-ability analysis of commonly used production prediction models for shale oil and gas well[J]. Unconventional Oil & Gas, 2019, 6(3):48-57.
[18] ILK D, PEREGO A D, RUSHING J A, et al. Integrating multiple production analysis techniques to assess tight gas sand reserves: Defining a new paradigm for industry best practices[C]// Paper SPE-114947-MS presented at the CIPC/SPE Gas Technology Symposium 2008 Joint Conference, Calgary, Alberta, Canada, June 16-19, 2008.
[19] ILK D, RUSHING J A, PEREGO A D, et al. Exponential vs. hyperbolic decline in tight gas sands: understanding the origin and implications for reserve estimates using Arps’ decline curves[C]// Paper SPE-116731-MS presented at the SPE Annual Technical Conference and Exhibition, Denver, Colorado, USA, September 21-24, 2008.
[20] MATTAR L, MOGHADAM S. Modified power law exponential decline for tight gas[C]// Paper PETSOC-2009-198 presented at the Canadian International Petroleum Conference, Calgary, Alberta, Canada, June 16-18, 2009.
[21] VALKO P P. Assigning value to stimulation in the Barnett shale: a simultaneous analysis of 7000 plus production histories and well completion records[C]// Paper SPE-119369-MS presented at the SPE Hydraulic Fracturing Technology Conference, The Woodlands, Texas, USA, January 19-21, 2009.
[22] DUONG A N. Rate Decline analysis for fracture dominated shale reservoirs: Part2[J]. SPE Reservoir Evaluation & Engineering, 2011, 14(3):377-387.
[23] 李海涛, 王科, 补成中, 等. 预测页岩气单井产量及最终储量的经验法分析[J]. 特种油气藏, 2019, 26(3):74-78.
[23] LI Haitao, WANG Ke, BU Chengzhong, et al. Empirical Method Analysis of Individual Well Production and EUR Forecast in Shale Gas Reservoir[J]. Special Oil & Gas Reservoirs, 2019, 26(3):74-78.
[24] 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, Calgary, Alberta, Canada, October 19-21, 2010.
[25] YU S Y, JIANG Z X, LEE W J, et al. Reconciling empirical methods for reliable EUR and production profile forecasts of horizontal wells in tight/shale reservoirs[C]// Paper SPE-189802-MS presented at the SPE Canada Unconventional Resources Conference, Calgary, Alberta, Canada, March 13-14, 2018.
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