A New Method of Fracability Evaluation of Shale Gas Reservoir Based on Weight Allocation
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摘要: 为了解决现有页岩气储层可压性评价方法无法连续评价页岩气储层可压性的问题,考虑地质甜点和工程甜点双重因素,通过定量评价地质甜点参数,综合矿物组分含量、细观力学参数计算工程甜点参数,运用标准化、归一化、调和平均和算数平均方法建立了基于权重分配的页岩气储层可压性评价模型。该评价模型充分考虑了页岩储层含气性和易改造性的潜力,确定总有机碳含量、镜质体反射率、剪切模量和断裂韧度4个参数作为评价可压性的关键参数:当总有机碳含量大于2%、镜质体反射率大于1.3%、硅质矿物含量为20%~60%、碳酸盐岩矿物含量为10%~30%、黏土矿物含量为30%~50%时,页岩气储层最适合进行压裂改造。利用建立的评价模型评价了四川盆地威远地区某页岩气井W井储层段的可压性,并根据评价结果指导了该井的压裂设计与施工,压后微地震监测显示,产生了较多裂缝,实现了体积压裂。这表明,利用该评价模型可以连续评价储层的可压性,根据计算结果可以更加准确地划分有效压裂层段和遮挡层段,可操作性强,具有工程应用价值。Abstract: Existing shale gas reservoir fracability evaluation methods cannot be used in continuous fracability evaluation of reservoirs. After a quantitative evaluation of the parameters of geological sweet spots and the calculation of engineering parameters by combining the contents of mineral composition and the micromechanics parameters, a new shale gas reservoir fracability evaluation model based on weight allocation through standardization, normalization, harmonic averaging and arithmetic averaging methods was developed. This model considers the gas-bearing potential and stimulation potential of shale gas reservoirs, with four critical parameters (total organic carbon (TOC), vitrinite reflectance (Ro), shear modulus, and fracture toughness) defined for fracability evaluation which takes into consideration both geological and engineering criteria for sweet spots. It is proposed that shale gas reservoirs with TOC 2%, Ro 1.3%, silica mineral content of 20%-60%, carbonate mineral content of 10%-30%, and clay mineral content of 30%-50%, are good candidates for hydraulic fracturing. This model was used to evaluate the fracability of reservoir sections in Well W, a shale gas well in the Weiyuan area of the Sichuan Basin. Microseismic monitoring results showed that multiple fractures were generated during fracturing. This indicated that this model could be used in continuous fracability evaluation of shale reservoirs. From the calculated results, the pay zone and barriers could be identified accurately. So the proposed model is highly operable and worthy of engineering applications.
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[1] 袁俊亮,邓金根,张定宇,等.页岩气储层可压裂性评价技术[J].石油学报,2013,34(3):523-527. YUAN Junliang,DENG Jingen,ZHANG Dingyu,et al.Fracability evaluation of shale-gas reservoirs[J].Acta Petrolei Sinica,2013,34(3):523-527. [2] 唐颖,邢云,李乐忠,等.页岩储层可压裂性影响因素及评价方法[J].地学前缘,2012,19(5):356-363. TANG Ying,XING Yun,LI Lezhong,et al.Influence factors and evaluation methods of the gas shale fracability[J].Earth Science Frontiers,2012,19(5):356-363. [3] MULLEN M J,ENDERLIN M B.Fracability index-more than just calculating rock properties[R].SPE 159755,2012.
[4] 陈勉,金衍.基于岩心分析的页岩气压裂工艺参数优选[J].石油钻探技术,2012,40(4):7-12. CHEN Mian,JIN Yan.Shale gas fracturing technology parameters optimization based on core analysis[J].Petroleum Drilling Techniques,2012,40(4):7-12. [5] 李庆辉,陈勉,金衍,等.页岩气储层岩石力学特性及脆性评价[J].石油钻探技术,2012,40(4):17-22. LI Qinghui,CHEN Mian,JIN Yan,et al.Rock mechanical properties and brittleness evaluation of shale gas reservoir[J].Petroleum Drilling Techniques,2012,40(4):17-22. [6] 郭海萱,郭天魁.胜利油田罗家地区页岩储层可压性实验评价[J].石油实验地质,2013,35(3):339-346. GUO Haixuan,GUO Tiankui.Experimental evaluation of crushability of shale reservoirs in Luojia Area,Shengli Oilfield[J].Petroleum Geology and Experiment,2013,35(3):339-346. [7] 蒋廷学,卞晓冰,苏瑗,等.页岩可压性指数评价新方法及应用[J].石油钻探技术,2014,42(5):16-20. JIANG Tingxue,BIAN Xiaobing,SU Yuan,et al.A new method for evaluating shale fracability index and its application[J].Petroleum Drilling Techniques,2014,42(5):16-20. [8] 赵金洲,许文俊,李勇明,等.页岩气储层可压性评价新方法[J].天然气地球科学,2015,26(6):1165-1172. ZHAO Jinzhou,XU Wenjun,LI Yongming,et al.A new method for fracability evaluation of shale-gas reservoirs[J].Natural Gas Geoscience,2015,26(6):1165-1172. [9] 胡昌蓬,徐大喜.页岩气储层评价因素研究[J].天然气与石油,2012,30(5):38-42. HU Changpeng,XU Daxi.Study on shale reservoir evaluation factors[J].Natural Gas and Oil,2012,30(5):38-42. [10] 刘双莲,李浩,张元春.TOC含量对页岩脆性指数影响分析[J].测井技术,2015,39(3):352-356. LIU Shuanglian,LI Hao,ZHANG Yuanchun.Analysis of TOC content influence on shale brittleness index evaluation[J].Well Logging Technology,2015,39(3):352-356. [11] JARVIE D M,HILL R J,Ruble T E,et al.Unconventional shale-gas systems:the Mississippian Barnett Shale of north-central Texas as one model for thermogenic shale-gas assessment[J].AAPG Bulletin,2007,91(4):475-499.
[12] WANG F P,GALE J F W.Screening criteria for shale gas systems[J].Gulf Coast Association of Geological Societies Transactions,2009,59:779-793.
[13] MERRIMAN R J.Clay minerals and sedimentary basin history[J].European Journal of Mineralogy,2005,17(1):7-20.
[14] 罗荣,曾亚武,杜欣.非均质岩石材料宏细观力学参数的关系研究[J].岩土工程学报,2012,34(12):2331-2336. LUO Rong,ZENG Yawu,DU Xin.Relationship between macroscopic and mesoscopic mechanical parameters of inhomogenous rock material[J].Chinese Journal of Geotechnical Engineering,2012,34(12):2331-2336. [15] SLATT R M,ABOUSLEIMAN Y.Merging sequence stratigraphy and geomechanics for unconventional gas shales[J].The Leading Edge,2011,30(3):274-282.
[16] 汪鹏,钟广法.南海ODP1144站深海沉积牵引体的岩石物理模型研究[J].地球科学进展,2012,27(3):359-366. WANG Peng,ZHONG Guangfa.Application of rock physics models to the deep-sea sediment drift at ODP site 1144,Northern South China Sea[J].Advances in Earth Science,2012,27(3):359-366. [17] 于庆磊.基于数字图像的岩石类材料破裂过程分析方法研究[D].沈阳:东北大学资源与土木工程学院,2008. YU Qinglei.Digital image processing-based numerical methods for failure process analysis of rocklike materials[D].Shenyang:Northeastern University,School of Resources and Civil Engineering,2008. [18] 廖东良,肖立志,张元春.基于矿物组分与断裂韧度的页岩地层脆性指数评价模型[J].石油钻探技术,2014,42(4):37-41. LIAO Dongliang,XIAO Lizhi,ZHANG Yuanchun.Evaluation model for shale brittleness index based on mineral content and fracture toughness[J].Petroleum Drilling Techniques,2014,42(4):37-41. [19] PASSEY Q R,BOHACS K,ESCH W L,et al.My source rock is now my reservoir-geologic and petrophysical characterization of shale-gas reservoir:the Society for Organic Petrology 28th Annual Meeting,Halifax,Canada,July 31-August 4,2011[C].
[20] 王秀平,牟传龙,葛祥英,等.四川盆地南部及其周缘龙马溪组黏土矿物研究[J].天然气地球科学,2014,25(11):1781-1794. WANG Xiuping,MOU Chuanlong,GE Xiangying,et al.Study on clay minerals in the lower Silurian Longmaxi Formation in Southern Sichuan Basin and its periphery[J].Natural Gas Geoscience,2014,25(11):1781-1794. [21] 王正普,张荫本.志留系暗色泥质岩中的溶孔[J].天然气工业,1986,6(2):117-119. WANG Zhengpu,ZHANG Yinben.The dissolution pore in dark argillaceous rock of Silurian[J].Natural Gas Industry,1986,6(2):117-119. -
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