Lithologic Reservoirs ›› 2021, Vol. 33 ›› Issue (6): 165-176.doi: 10.12108/yxyqc.20210617

• EXPLORATION TECHNOLOGY • Previous Articles     Next Articles

Prediction of fracture-pore reservoirs in metamorphic clastic rocks using logging reservoir factors: A case study of basement in Beier Sag,Hailar Basin

LI Juan1,2, ZHENG Xi1, SUN Songling1, ZHANG Bin1, CHEN Guangpo1, HE Weiwei1, HAN Qianfeng1   

  1. 1. PetroChina Research Institute of Petroleum Exploration & Development-Northwest, Lanzhou 730020, China;
    2. Key Laboratory of Reservoir Description, CNPC, Lanzhou 730020, China
  • Received:2021-04-02 Revised:2021-06-08 Online:2021-12-01 Published:2021-11-25

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Abstract: Taking the basement reservoir of metamorphic clastic rock in Beier Sag, Hailar Basin as an example, considering the characteristics of lithology controlling reservoir and vertical zonation structure, based on well logging, seismic data and production test data, comprehensive probability method was used to obtain logging reservoir factors to quantitatively characterize fracture-pore reservoirs, and to predict the distribution of the reservoirs by combining seismic motion inversion. The results show that the logging reservoir factor can better reflect the reservoir development than the single well logging resistivity model. The combination of the seismic motion inversion based on phase controlling theory and logging reservoir factor is effective to predict the fracture-pore reservoir quantitatively. If the predicted value is greater than the threshold value, the reservoir develops. The larger the predicted value is, the more developed the fractured reservoir is. The lithology and original sedimentary laminar formation result in the effective reservoirs in the form of quasi-continuously layer as the shape of short mounds or beans in section. The high-quality reservoirs are controlled by vertical zonation, fault system and structural location. The good reservoirs overall distribute near faults zone, anticline, faulted anticline, fault block or other structural high position. The reservoir properties in the moderately-weakly weathered facies are the best, the strongly weathered facies is medium, and the reservoirs in the unweathered facies are only locally developed. The research results have great application and popularization value for the prediction of fracture-pore reservoir in basement with metamorphic clastic rock.

Key words: logging reservoir factor, seismic motion inversion, fracture-pore reservoir, quantitative prediction, metamorphic clastic rock, buried hill, Beier Sag

CLC Number: 

  • TE122
[1] PRICE N J. Fault and joint development in brittle and semi-brittle rock. Oxford:Pergamon Press, 1966:165-172.
[2] PEREZ M A, GRECHKA V, MICHELENA R J. Fracture detection in a carbonate reservoir using a variety of seismic methods. Geophysics, 1999, 64(4):1266-1276.
[3] 邓攀, 陈孟晋, 杨泳. 分形方法对裂缝性储集层的定量预测研究和评价. 大庆石油地质与开发, 2006, 25(2):18-20. DENG P, CHEN M J, YANG Y. The application of fractal approach to the quantitative estimation research and evaluation of fractured reservoir. Petroleum Geology & Oilfield Development in Daqing, 2006, 25(2):18-20.
[4] JENKINS C, OUENES A, ZELLOU A, et al. Quantifying and predicting naturally fractured reservoir behavior with continuous fracture models. AAPG Bulletin, 2009, 93(11):1597-1608.
[5] 周新桂, 张林炎, 屈雪峰, 等. 沿河湾探区低渗透储层构造裂缝特征及分布规律定量预测.石油学报, 2009, 30(2):195-200. ZHOU X G, ZHANG L Y, QU X F, et al. Characteristics and quantitative prediction of distribution laws of tectonic fractures of low-permeability reservoirs in Yanhewan area. Acta Petrolei Sinica, 2009, 30(2):195-200.
[6] 鞠玮, 侯贵廷, 冯胜斌, 等. 鄂尔多斯盆地庆城-合水地区延长组长63储层构造裂缝定量预测. 地学前缘, 2014, 21(6):310-320. JU W, HOU G T, FENG S B, et al. Quantitative prediction of the Yanchang Formation Chang 63 reservoir tectonic fracture in the Qingcheng-Heshui area, Ordos Basin. Earth Science Frontiers, 2014, 21(6):310-320.
[7] 詹彦, 侯贵廷, 孙雄伟, 等. 库车坳陷东部侏罗系砂岩构造裂缝定量预测. 高校地质学报, 2014, 20(2):294-302. ZHAN Y, HOU G T, SUN X W, et al. Quantitative prediction of tectonic fractures of Jurassic sandstones in the eastern Kuche Depression. Geological Journal of China Universities, 2014, 20(2):294-302.
[8] 王珂, 戴俊生, 王俊鹏, 等. 塔里木盆地克深2气田储层构造裂缝定量预测. 大地构造与成矿学, 2016, 40(6):1123-1135. WANG K, DAI J S, WANG J P, et al. Distribution of reservoir structural fractures and quantitative prediction of Keshen-2 gas field, Tarim Basin. Geotectonica et Metallogenia, 2016, 40(6):1123-1135.
[9] 张继标, 刘士林, 戴俊生, 等. 塔里木盆地玉北地区奥陶系储层构造裂缝定量预测. 地质力学学报, 2019, 25(2):31-40. ZHANG J B, LIU S L, DAI J S, et al. The quantitative prediction of structural fractures in Ordovician reservoir in Yu-bei area, Tarim Basin. Journal of Geomechanics, 2019, 25(2):31-40.
[10] 王蓓, 刘向君, 司马立强, 等. 磨溪龙王庙组碳酸盐岩储层多尺度离散裂缝建模技术及其应用. 岩性油气藏, 2019, 31(2):124-133. WANG B, LIU X J, SIMA L Q, et al. Multi-scale discrete fracture modeling technology for carbonate reservoir of Longwangmiao Formation in Moxi area and its application. Lithologic Reservoirs, 2019, 31(2):124-133.
[11] 周新桂, 邓宏文, 操成杰, 等. 储层构造裂缝定量预测研究及评价方法. 地球学报, 2003,24(2):79-84. ZHOU X G, DENG H W, CAO C J, et al. The methods for quantitative prediction and evaluation of structural fissures in reservoirs. Acta Geoscientia Sinica, 2003, 24(2):79-84.
[12] 徐会永, 冯建伟, 葛玉荣. 致密砂岩储层构造裂缝形成机制及定量预测研究进展. 地质力学学报, 2013, 19(4):377-384. XU H Y, FENG J W, GE Y R. Research progress on mechanism and quantitative prediction of structural fractures in tight-sand reservoirs. Journal of Geomechanics, 2013, 19(4):377-384.
[13] 周文, 尹太举, 张亚春, 等. 蚂蚁追踪技术在裂缝预测中的应用:以青西油田下沟组为例.岩性油气藏, 2015, 27(6):111-118. ZHOU W, YIN T J, ZHANG Y C, et al. Application of ant tracking technology to fracture prediction:A case study from Xiagou Formation in Qingxi oilfield. Lithologic Reservoirs, 2015, 27(6):111-118.
[14] 王建君, 李井亮, 李林, 等. 基于叠后地震数据的裂缝预测与建模:以太阳-大寨地区浅层页岩气储层为例. 岩性油气藏, 2020, 32(5):122-132. WANG J J, LI J L, LI L, et al. Fracture prediction and modeling based on poststack 3D seismic data:A case study of shallow shale gas reservoir in Taiyang-Dazhai area. Lithologic Reservoirs, 2020, 32(5):122-132.
[15] 张璐, 何峰, 陈晓智, 等. 基于倾角导向滤波控制的似然属性方法在断裂识别中的定量表征. 岩性油气藏, 2020, 32(2):108-114. ZHANG L, HE F, CHEN X Z, et al. Quantitative characterization of fault identification using likelihood attribute based on dip-steering filter control. Lithologic Reservoirs, 2020, 32(2):108-114.
[16] 赵才顺, 万欢, 张昊, 等. 纵波方位各向异性正演模拟及叠前裂缝检测应用研究:以鄂尔多斯盆地致密砂岩气区块为例. 地球物理学进展, 2019, 34(1):257-265. ZHAO C S, WAN H, ZHANG H, et al. Research application of the P-wave anisotropy forward modeling and pre-stack fracture detection:Take the tight sandstone gas block in Ordos Basin as an example. Progress in Geophysics(in Chinese), 2019, 34(1):257-265.
[17] 贾跃玮, 魏水建, 吕林. 应用地震纵波方位各向异性定量预测火山岩裂缝. 石油物探, 2014, 53(4):477-483. JIA Y W, WEI S J, LYU L. Application of seismic p-wave azimuthal anisotropy in volcanic fracture quantitative prediction. Geophysical Prospecting for Petroleum, 2014, 53(4):477-483.
[18] 姜晓宇, 张研, 甘利灯, 等. 花岗岩潜山裂缝地震预测技术. 石油地球物理勘探, 2020, 55(3):694-704. JIANG X Y, ZHANG Y, GAN L D, et al. Seismic techniques for predicting fractures in granite buried hills. Oil Geophysical Prospecting, 2020, 55(3):694-704.
[19] 丁燕, 杜启振, Qamar Yasin, 等. 基于深度学习的裂缝预测在S区潜山碳酸盐岩储层中的应用. 石油物探, 2020, 59(2):267-275. DING Y, DU Q Z, QAMAR Y, et al. Fracture prediction based on deep learning:Application to a buried hill carbonate reservoir in the S area. Geophysical Prospecting for Petroleum, 2020, 59(2):267-275.
[20] 章惠, 关达, 向雪梅, 等. 川东北元坝东部须四段裂缝型致密砂岩储层预测. 岩性油气藏, 2018, 30(1):133-139. ZHANG H, GUAN D, XIANG X M, et al. Prediction for fractured tight sandstone reservoir of Xu 4 member in eastern Yuanba area, northeastern Sichuan Basin. Lithologic Reservoirs, 2018, 30(1):133-139.
[21] 陈彦虎, 蒋龙聪, 胡俊, 等. 页岩储层裂缝型孔隙定量预测的新方法. 地质科技情报, 2018, 37(1):115-121. CHEN Y H, JIANG L C, HU J, et al. A new method for quantitative prediction of fractured pores in shale gas reservoirs. Geological Science and Technology Information, 2018, 37(1):115-121.
[22] 李娟, 孙松领, 陈广坡, 等. 海拉尔盆地浅变质岩潜山岩性控储特征及储层岩性序列识别.岩性油气藏, 2018, 30(4):26-36. LI J, SUN S L, CHEN G P, et al. Controlling of epimetamorphic rock lithology on basement reservoir and identification of lithological sequence of reservoir in Hailar Basin. Lithologic Reservoirs, 2018, 30(4):26-36.
[23] 肖小玲, 靳秀菊, 张翔, 等. 基于常规测井与电成像测井多信息融合的裂缝识别.石油地球物理勘探, 2015, 50(3):542-547. XIAO X L, JIN X J, ZHANG X, et al. Fracture identification based on information fusion of conventional logging and electrical imaging logging. Oil Geophysical Prospecting, 2015, 50(3):542-547.
[24] SIBBIT A M, FAIVRE Q. The dual laterolog response in fractured rocks. Dalas:SPWLA 26 th Annual Logging Symposium, 1985:17-20.
[25] PHILIPPE A P, ROGER N A. In situ measurement of electrical resistivity, formation anisotropy and tectonic context. Lafayette:SPWLA 31th Annual Logging Symposium, 1990:24-27.
[26] 陈义国, 赵谦平, 杨文博, 等. 双侧向测井裂缝孔隙模型考察与改进. 大庆石油地质与开发, 2011, 30(4):171-174. CHEN Y G, ZHAO Q P, YANG W B, et al. Examination and improvement of fracture-pore model for dual-lateral logging. Petroleum Geology & Oilfield Development in Daqing, 2011, 30(4):171-174.
[27] 李善军, 肖承文, 汪涵明, 等. 裂缝的双侧向测井响应的数学模型及裂缝孔隙度的定量解释. 地球物理学报, 1996, 39(6):845-852. LI S J, XIAO C W, WANG H M, et al. Mathematical model of dual latero-log response to fracture and quantitative interpretation of fracture porosity. Acta Geophysica Sinica, 1996, 39(6):845-852.
[28] 杨涛, 乐友喜, 吴勇. 波形指示反演在储层预测中的应用. 地球物理学进展, 2018, 33(2):769-776. YANG T, LE Y X, WU Y. Application of the waveform inversion in reservoir prediction. Progress in Geophysics, 2018, 33(2):769-776.
[29] 李亚哲, 王力宝, 郭华军, 等. 基于地震波形指示反演的砂砾岩储层预测:以中拐-玛南地区上乌尔禾组为例. 岩性油气藏, 2019, 31(2):134-142. LI Y Z, WANG L B, GUO H J, et al. Prediction of glutenite reservoir based on seismic waveform indicative inversion:A case study of Upper Urho Formation in Zhongguai-Manan area. Lithologic Reservoirs, 2019, 31(2):134-142.
[30] 章雄, 张本健, 梁虹, 等. 波形指示叠前地震反演方法在致密含油薄砂层预测中的应用.物探与化探, 2018, 42(3):120-129. ZHANG X, ZHANG B J, LIANG H, et al. The application of pre-stack inversion based on seismic waveform indicator to the prediction of compact and thin oil-bearing sand layer. Geophysical and Geochemical Exploration, 2018, 42(3):120-129.
[31] 胡玮, 齐鹏, 杨江峰, 等. 波形指示反演在超深层致密砂岩薄储层中的应用. 地球物理学进展, 2018, 33(2):620-624. HU W, QI P, YANG J F, et al. Application of seismic motion inversion in identification of tight thin super deep reservoirs. Progress in Geophysics, 2018, 33(2):620-624.
[32] 李娟, 卫平生, 石兰亭, 等. 海拉尔盆地贝尔凹陷基岩储集层流体作用机制与成岩改造. 石油勘探与开发, 2020, 47(1):45-56. LI J, WEI P S, SHI L T, et al. Fluid interaction mechanism and diagenetic reformation for basement reservoir, Beier Sag, Hailar Basin, China. Petroleum Exploration and Development, 2020, 47(1):45-56.
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