Volume 51 Issue 7
Jul.  2023
Turn off MathJax
Article Contents
Abstract
References
Related Articles
BI Gang，WU Jiemin，YANG Shangyu，et al. Applicability evaluation technology of perforating parameters in different reservoirs[J]. Coal Geology & Exploration，2023，51(7)：80−91. DOI: 10.12363/issn.1001-1986.22.11.0835
Citation: BI Gang，WU Jiemin，YANG Shangyu，et al. Applicability evaluation technology of perforating parameters in different reservoirs[J]. Coal Geology & Exploration，2023，51(7)：80−91. DOI: 10.12363/issn.1001-1986.22.11.0835
shu

Applicability evaluation technology of perforating parameters in different reservoirs

  • 1.

    College of Petroleum Engineering, Xi’an Shiyou University, Xi’an 710065, China

  • 2.

    Shaanxi Key Laboratory of Well Stability and Fluid & Rock Mechanics in Oil and Gas Reservoirs, Xi’an 710065, China

  • 3.

    China Petroleum Engineering Materials Research Institute Co., Ltd., Xi’an 710077, China

More Information
  • Received Date: November 02, 2022
  • Revised Date: January 14, 2023
  • Available Online: July 14, 2023
    Graphical Abstract
    • Abstract

  • Perforating parameters have an important impact on the productivity of oil and gas wells. Currently, the optimization of perforating parameters is mostly based on single factor analysis, with no multi-factor comprehensive evaluation analysis performed. In this paper, the finite element simulation method was used to analyze and study the influence law of perforating parameters on wellhead flow under different reservoir conditions. Firstly, a geometric model of pressure drop in reservoir with perforation completion was established to simulate the fluid flow after perforation. In this way, the influence laws of perforating parameters, anisotropy parameters and natural fracture parameters on the pressure and seepage fields of homogeneous reservoir, anisotropic reservoir and fractured reservoir were obtained. On this basis, the relationship between the parameters, such as hole depth, hole density, hole size, phase angle, pollution zone depth and pollution degree, and the wellhead flow was calculated quantitatively. Meanwhile, orthogonal experiment was designed for the multi-factor analysis of perforating parameters under different perforation modes in different reservoirs, and the wellhead flow under various working conditions was obtained. Then, the grey correlation coefficient between the parameters and wellhead flow under different reservoir conditions and different perforation methods was analyzed with the grey correlation theory. Then, the applicability of the parameters was evaluated, and the optimization design software of perforating parameters was formed. To ensure that the casing collapse resistance is reduced by no more than 5%, and to maximize the perforation completion productivity ratio, the perforation optimization scheme under different reservoirs and different perforation modes was given according to the actual perforating parameter combinations and the optimization of perforating parameters combined with F oilfield. Finally, the sensitivity analysis of perforating parameters was carried out, obtaining the influence law of perforation depth, phase angle and hole density on the productivity of directional well. With the increase of hole depth and density, the daily production and cumulative production of horizontal well gradually increases. Specifically, the daily production and cumulative production of well at 45° phase angle were both higher than that at the phase angle of 0°. Through the orthogonal experiment based on the finite element simulation, the multi-factor comprehensive evaluation of perforating parameters was realized, and the reliability of the weight of perforating parameters was improved with the grey correlation method. Generally, this study provides a basis for the reasonable range and optimization of perforating parameters.

    • FullText(HTML)
    • References (20)
  • [1]
    郑建东,王春燕,章华兵,等. 松辽盆地古龙页岩油储层七性参数和富集层测井评价方法[J]. 大庆石油地质与开发,2021,40(5):87−97. DOI: 10.19597/J.ISSN.1000-3754.202107003

    ZHENG Jiandong,WANG Chunyan,ZHANG Huabing,et al. Logging evaluating methods of seven property parameters and enriched layers for Gulong shale oil reservoir in Songliao Basin[J]. Petroleum Geology & Oilfield Development in Daqing,2021,40(5):87−97. DOI: 10.19597/J.ISSN.1000-3754.202107003
    [2]
    李士斌,任伟,张立刚,等. 综合考虑孔眼稳定及产能情况的射孔参数优选[J]. 特种油气藏,2013,20(6):116−120. DOI: 10.3969/j.issn.1006-6535.2013.06.030

    LI Shibin,REN Wei,ZHANG Ligang,et al. Optimization of perforating parameters by taking account of hole stability and productivity[J]. Special Oil and Gas Reservoirs,2013,20(6):116−120. DOI: 10.3969/j.issn.1006-6535.2013.06.030
    [3]
    徐兵祥,白玉湖,陈岭,等. 页岩气解析模型产量预测技术优化方案[J]. 科学技术与工程,2021,21(9):3571−3575. DOI: 10.3969/j.issn.1671-1815.2021.09.020

    XU Bingxiang,BAI Yuhu,CHEN Ling,et al. Optimization of production forecasting technique using analytical models for shale gas wells[J]. Science Technology and Engineering,2021,21(9):3571−3575. DOI: 10.3969/j.issn.1671-1815.2021.09.020
    [4]
    文敏,邱浩,毕刚,等. 海上油气田双层套管射孔穿透性能研究[J]. 西安石油大学学报(自然科学版),2021,36(6):37−43.

    WEN Min,QIU Hao,BI Gang,et al. Research on perforation penetration performance of double casing in offshore oil and gas fields[J]. Journal of Xi’an Shiyou University (Natural Science Edition),2021,36(6):37−43.
    [5]
    许杰,贾立新,陈毅,等. 海上稠油热采井套管射孔参数设计[J]. 中国海上油气,2020,32(3):118−123.

    XU Jie,JIA Lixin,CHEN Yi,et al. Design of casing perforation parameters for offshore heavy oil thermal recovery wells[J]. China Offshore Oil and Gas,2020,32(3):118−123.
    [6]
    唐汝众,王同涛,闫相祯,等. 射孔参数对套管强度影响的有限元分析[J]. 石油机械,2010,38(1):32−34.

    TANG Ruzhong,WANG Tongtao,YAN Xiangzhen,et al. Finite element analysis of the influence of perforating parameters on casing strength[J]. China Petroleum Machinery,2010,38(1):32−34.
    [7]
    肖遥,邓金根,刘伟,等. 射孔参数对热采井套管抗热应力能力影响分析[J]. 科学技术与工程,2020,20(13):5094−5100. DOI: 10.3969/j.issn.1671-1815.2020.13.011

    XIAO Yao,DENG Jingen,LIU Wei,et al. Analysis on the effect of perforating parameters on thermal stress resistance of thermal production casing[J]. Science Technology and Engineering,2020,20(13):5094−5100. DOI: 10.3969/j.issn.1671-1815.2020.13.011
    [8]
    邓晗,谯世均,朱志强,等. 水平井射孔完井参数优化的正交试验法[J]. 中国石油和化工,2014(4):59−61.

    DENG Han,QIAO Shijun,ZHU Zhiqiang,et al. Orthogonal test method for optimization of perforation and completion parameters of horizontal wells[J]. China Petroleum and Chemical Industry,2014(4):59−61.
    [9]
    薛世峰,王斐斐,王海静. 射孔井产率比及其影响因素数值分析[J]. 油气地质与采收率,2012,19(2):102−105. DOI: 10.3969/j.issn.1009-9603.2012.02.031

    XUE Shifeng,WANG Feifei,WANG Haijing. Numerical study of productivity ratio and factors of perforated well[J]. Petroleum Geology and Recovery Efficiency,2012,19(2):102−105. DOI: 10.3969/j.issn.1009-9603.2012.02.031
    [10]
    李春红. 高效射孔工艺技术在三类储层的应用效果评价[J]. 化学工程与装备,2020(7):140−141. DOI: 10.19566/j.cnki.cn35-1285/tq.2020.07.073

    LI Chunhong. Evaluation of application effect of efficient perforation technology in three types of reservoirs[J]. Chemical Engineering and Equipment,2020(7):140−141. DOI: 10.19566/j.cnki.cn35-1285/tq.2020.07.073
    [11]
    丁熊,谭秀成,雷一文,等. 基于模糊聚类分析的复杂碳酸盐岩储层定量评价[J]. 西安石油大学学报(自然科学版),2009,24(3):25−27.

    DING Xiong,TAN Xiucheng,LEI Yiwen,et al. Quantitative evaluation of complex carbonate reservoir based on fuzzy clustering analysis[J]. Journal of Xi’an Shiyou University (Natural Science Edition),2009,24(3):25−27.
    [12]
    段宏跃,陆鹿,谢卫东,等. 基于灰色模糊模型的塔山煤矿构造复杂程度定量评价[J]. 地质与勘探,2022,58(2):420−429.

    DUAN Hongyue,LU Lu,XIE Weidong,et al. Quantitative Assessment of Structural Complexity in the Tashan Coal Mine Based on the Grey Fuzzy Model[J]. Geology and Exploration,2022,58(2):420−429.
    [13]
    夏东领,伍岳,夏冬冬,等. 鄂尔多斯盆地南缘红河油田长8致密油藏非均质性表征方法[J]. 石油实验地质,2021,43(4):704−712. DOI: 10.11781/sysydz202104704

    XIA Dongling,WU Yue,XIA Dongdong,et al. Characterization method of heterogeneity for Chang 8 tight reservoir in Honghe Oilfield,Southern margin of Ordos Basin[J]. Petroleum Geology & Experiment,2021,43(4):704−712. DOI: 10.11781/sysydz202104704
    [14]
    涂乙,刘伟新,戴宗,等. 基于熵权法的储层非均质性定量评价:以珠江口盆地A油田为例[J]. 油气地质与采收率,2017,24(5):27−33. DOI: 10.3969/j.issn.1009-9603.2017.05.004

    TU Yi,LIU Weixin,DAI Zong,et al. Quantitative evaluation for reservoir heterogeneity based on entropy weight method:A case study of A Oilfield in Pearl River Mouth Basin[J]. Petroleum Geology and Recovery Efficiency,2017,24(5):27−33. DOI: 10.3969/j.issn.1009-9603.2017.05.004
    [15]
    李龙龙,吴明录,姚军,等. 部分射开直井的产能计算方法[J]. 石油钻探技术,2014,42(3):80−89.

    LI Longlong,WU Minglu,YAO Jun,et al. Calculation method of the productivity of partially perforated vertical well[J]. Petroleum Drilling Techniques,2014,42(3):80−89.
    [16]
    HAGOORT J. An analytical model for predicting the productivity of perforated wells[J]. Journal of Petroleum Science and Engineering,2007,56(4):199−218. DOI: 10.1016/j.petrol.2006.09.001
    [17]
    RAKHIMZHANOVA A,THORNTON C,AMANBEK Y,et al. Numerical simulations of sand production in oil wells using the CFD–DEM–IBM approach[J]. Journal of Petroleum Science and Engineering,2022,208:109529. DOI: 10.1016/j.petrol.2021.109529
    [18]
    TATSIPIE N R K,SHENG J J. Deep learning–based sensitivity analysis of the effect of completion parameters on oil production[J]. Journal of Petroleum Science and Engineering,2022,209:109906. DOI: 10.1016/j.petrol.2021.109906
    [19]
    吴见,汤达祯,李松,等. 鄂尔多斯盆地东缘煤储层孔隙结构特征差异及影响因素[J]. 煤田地质与勘探,2017,45(5):58−65. DOI: 10.3969/j.issn.1001-1986.2017.05.011

    WU Jian,TANG Dazhen,LI Song,et al. Characteristics and influence factors of pore structure of coal reservoirs in the Eastern margin of Ordos Basin[J]. Coal Geology & Exploration,2017,45(5):58−65. DOI: 10.3969/j.issn.1001-1986.2017.05.011
    [20]
    张权. 双层油藏中部分射开直井不稳态渗流研究[D]. 北京: 中国地质大学 (北京), 2017.

    ZHANG Quan. Unsteady flow research of partially penetrated vertical well in double−layer oil reservoir[D]. Beijing: China University of Geosciences (Beijing), 2017.
    • Related Articles

  • Related Articles

    [1]ZHAO Hongbao, ZHANG Bo, ZHANG Chi, JI Dongliang. Mining-induced fault slip: Assessment model and method for determining fault instability ranges[J]. COAL GEOLOGY & EXPLORATION, 2025, 53(3): 23-33. DOI: 10.12363/issn.1001-1986.24.08.0558
    [2]LI Huakun, ZHENG Liugen, CHEN Yongchun, LI Bing, TAO Pengfei, LI Hao. Exploring the pore structure of reconstructed soils and its effects on water and salt transport based on CT scanning[J]. COAL GEOLOGY & EXPLORATION, 2024, 52(4): 120-127. DOI: 10.12363/issn.1001-1986.23.09.0586
    [3]QI Yueming, ZHOU Pei, ZHOU Lai, JIANG Dan, YANG Yuqing, LIU Yanzhuo. Sulphate contamination in an abandoned coal mine in light of mining effects[J]. COAL GEOLOGY & EXPLORATION, 2024, 52(4): 89-100. DOI: 10.12363/issn.1001-1986.23.11.0783
    [4]SUN Wenbin, HAO Jianbang, DAI Xianzheng, KONG Lingjun. Response mechanism characteristics of mining-induced fault activation[J]. COAL GEOLOGY & EXPLORATION, 2024, 52(4): 12-20. DOI: 10.12363/issn.1001-1986.23.09.0525
    [5]XU Bin, XIANG Fang, LI Shuxia. Distribution characteristics and paleo-climatic significance of continental climate-sensitive sediments in the Late Cretaceous in China[J]. COAL GEOLOGY & EXPLORATION, 2021, 49(5): 190-199. DOI: 10.3969/j.issn.1001-1986.2021.05.021
    [6]CHENG Bin, ZHAO Long, LI Zhiliang. Permeability distribution law of protected coal seam in mining-affected zone[J]. COAL GEOLOGY & EXPLORATION, 2017, 45(3): 77-81,86. DOI: 10.3969/j.issn.1001-1986.2017.03.014
    [7]WANG Hao, QIAO Wei, CHAI Rui. Overburden rock permeability variation and vertical zoning characteristics under the influence of coal mining[J]. COAL GEOLOGY & EXPLORATION, 2015, 43(3): 51-55. DOI: 10.3969/j.issn.1001-1986.2015.03.010
    [8]FANG Tengjiao, LIAO Xuedong, HE Lubin, LI Jingjing. Failure mechanism and control of soft rock roadway under mining disturbance[J]. COAL GEOLOGY & EXPLORATION, 2014, 42(2): 67-70. DOI: 10.3969/j.issn.1001-1986.2014.02.014
    [9]LI Ming-jian, LU Meng-sheng, GUO Peng-shan. Study of environmental geology effect of mining in Nansihu Area[J]. COAL GEOLOGY & EXPLORATION, 2001, 29(6): 41-43.
    [10]Liu Ruixin. THE EFFECT OF MINING DISTURBANCE ON WATER INFLOW FROM THE RED BEDS INTO COAL MINE[J]. COAL GEOLOGY & EXPLORATION, 1992, 20(3): 37-39.

  • Cited by

    Periodical cited type(14)

    1. 吴见，张松航，贾腾飞，晁巍巍，彭文春，李世龙. 深部煤层钻孔保压取心流程分析及含气量测定方法. 石油实验地质. 2025(01): 163-172 .
    2. 何文渊，黄文松，崔泽宏，刘玲莉，段利江，赵一波. 澳大利亚苏拉特区块低煤阶煤层气有利区预测与高效开发策略. 石油与天然气地质. 2025(01): 31-46 .
    3. 申有义，王凯峰，唐书恒，张松航，郗兆栋，杨晓东. 沁水盆地榆社—武乡区块二叠系煤系页岩储层地质建模及“甜点”预测. 岩性油气藏. 2024(04): 98-108 .
    4. 刘同庆，宋玉龙，牟义，黄涛，汝亮，周绍辉，曹峰，孟国强. 基于Petrel的煤顶板三维地质模型及地应力模型构建. 煤矿安全. 2023(05): 100-105 .
    5. 李勇，陈祖国，徐建军，周加佳，苏善博，张震. 寺河井田3号煤层含气量三维建模. 科技和产业. 2023(22): 275-280 .
    6. 姜在炳，杨建超，李勇，庞涛. 基于三维地质建模技术的煤层气抽采效果评价——以晋城寺河煤矿为例. 煤田地质与勘探. 2022(02): 55-64 . 本站查看
    7. 高连平，宋培娟，王庄. 基于三维激光特征二次匹配的室外景观建模方法. 应用激光. 2022(03): 147-153 .
    8. 郭广山，郭建宏，孙立春，刘丽芳，田永净. 基于随机森林算法的煤层含气量三维精细建模. 中国海上油气. 2022(04): 156-163 .
    9. 徐冬生. 邢台市任泽区地热资源开发利用研究. 中国煤炭地质. 2022(S2): 66-70 .
    10. 韩明辉，杨雪，胡海洋. 多薄煤层气藏三维地质建模技术及其应用——以黔西地区攀枝花煤矿为例. 天然气技术与经济. 2022(06): 1-8 .
    11. 刘冰，张松航，唐书恒，王鹏飞，翟佳宇，纪朝琪. 无越流补给含水层对煤层气排采影响的数值模拟. 煤田地质与勘探. 2021(02): 43-53 . 本站查看
    12. 宣涛，王文升，刘灵童，李建荣，秦鹏. 不连续、薄互层煤层气地质建模技术——以澳大利亚苏拉特盆地为例. 中国煤炭地质. 2021(06): 31-36+68 .
    13. 熊幸，韩文龙，赵石虎. 基于灰色关联的沁南柿庄地区含气量主控因素分析. 煤炭技术. 2021(07): 93-97 .
    14. 刘同庆. 煤质工业分析测井解释及三维建模研究. 煤炭技术. 2021(09): 71-75 .

    Other cited types(2)

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (170) PDF downloads (35) Cited by(16)
    Related

    Copyright of website design © Editorial Office of Coal Geology & Exploration 陕ICP备05001372号-6 陕公网安备 61019002002193号

    Address: Editorial Office of Coal Geology & Exploration, No.82 Jinye 1st Rd, High-Tech Zone, Xi'an City, Shaanxi, China

    Tel: 029-81778075 E-mail: ccrimtdzykt@vip.163.com

    Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return