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致密油水平井分段多簇优化设计方法
翁定为1,2,张启汉3,郭子义3,郑力会1,梁宏波2,刘哲2
(1.中国石油大学石油天然气工程学院,北京 102249;2.中国石油勘探开发研究院廊坊分院压裂酸化中心,河北廊坊 065007;3.中国石油青海油田分公司钻采工程研究院,甘肃敦煌 736200)
摘要:
为提高致密油水平井段分段多簇设计的针对性,建立一种新的水平井分段多簇优化设计方法。采用岩心试验和垂向非均质平面均质(VTI)应力模型评价水平井水平段的应力与脆性指数剖面,并结合测井解释的储层品质参数及水力裂缝优化结果,采用模糊模式识别模型优选水平井段的射孔簇位置。试验结果表明:可采用岩石力学参数方法建立连续的脆性指数剖面,可根据水平井导眼井校正后的模型参数计算水平段的VTI应力剖面;模糊模式识别模型优选的射孔簇储层品质与脆性较好,宜作为裂缝布置的的位置;现场试验效果较好。
关键词:  水平井  分段多簇设计  模糊识别模型  脆性指数  VTI应力模型
DOI:10.3969/j.issn.1673-5005.2015.05.016
分类号::TE 357.1
基金项目:国家科技重大专项(2011ZX05013-003);中国石油天然气股份公司重大专项(2013E-1109)
Multi-stage and cluster fracturing design in horizontal wells for tight oil production
WENG Dingwei1,2, ZHANG Qihan3, GUO Ziyi3, ZHENG Lihui1, LIANG Hongbo2, LIU Zhe2
(1.College of Petroleum Engineering in China University of Petroleum, Beijing 102249, China;2.Fracturing and Acidizing Center, RIPED-Langfang, PetroChina, Langfang 065007, China;3.Drilling and Production Institute of Qinghai Oilfield, PetroChina, Dunhuang 736200, China)
Abstract:
A new design method was presented for multi-stage and cluster fracturing in horizontal wells for tight oil production in this paper. Core analysis and VTI stress models were used to build up the profiles of brittleness index and stress in the lateral rocks around a horizontal well. Integrated with the reservoir property data and fracturing optimization, a fuzzy identification model was used to determine the perforation cluster location. The testing results show that the continuous brittleness index and the VTI stress profiles could be built up based on the characteristic parameter method and the calibrated VTI model coefficients, respectively. The selected perforation cluster locations have better reservoir property and brittleness and are suitable for fractures to be placed. The method has been applied for the multi-stage and cluster fracturing design in horizontal wells for tight oil production and has obtained good stimulation response.
Key words:  horizontal well  multi-stage and cluster design  fuzzy identification model  brittleness index  VTI stress model
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