Lithologic Reservoirs ›› 2017, Vol. 29 ›› Issue (1): 116-123.doi: 10.3969/j.issn.1673-8926.2017.01.015

Previous Articles     Next Articles

Quantitative evaluation of favorable reservoir in ultra-low permeable reservoir based on“petrophysical facies-flow unit”log response： a case study of Chang 6 oil reservoir set in Yanchang Oilfield

ZHOU You1,2, LI Zhiping1,2, JING Cheng3, GU Xiaoyu3, SUN Wei4, LI Xiao3   

  1. 1. School of Energy Resources, China University of Geosciences, Beijing 100083, China;
    2. Beijing Key Laboratory of Unconventional Natural Gas Geology Evaluation and Development Engineering, China University of Geosciences, Beijing 100083, China;
    3. School of Petroleum Engineering, China University of Petroleum, Qingdao 266580, Shandong, China;
    4. No. 8 Oil Production Plant, PetroChina Changqing Oilfield Company, Xi'an 710065, China
  • Received:2016-06-25 Revised:2016-08-26 Online:2017-01-21 Published:2017-01-21

PDF (PC)

326

Abstract: Petrophysical facies and flow unit can both represent the heterogeneity of the reservoir from different angles. The ultra-low permeability reservoir is characterized by strong heterogeneity in the eastern Ordos Basin, so there will be some deviations in reservoir evaluation by using petrophysical facies or flow unit. Combined with qualitative identification and quantitative classification, a comprehensive assessment target system of“petro physical facies- flow unit”was established to quantitatively evaluate the high quality reservoirs. Meanwhile,it utilized grey system theory to integrate multiple information and established relationship between limited core data and logging data,achieving to use well log information to quantitatively evaluate and divide“petrophysical facies- flow unit”. The results show that the first-class and the second-class“petrophysical facies-flow unit”possess relatively preponderant reservoir properties and seepage structure,by which 49 high quality reservoirs was optimized for developing,and the distribution and extension direction of oiliness zones were determined. This method can effectively reduce the error caused by the use of petrophysical facies or flow unit only to optimize high quality reservoirs. At the same time,the field application effect is good,and it also can provide favorable well site and district for enhancing reserve and productivity in the study area.

CLC Number: 

  • P618.13
[1] 付金华,魏新善,任军峰,等. 鄂尔多斯盆地天然气勘探形势 与发展前景.石油学报,2006,27(6):1-4. FU J H,WEI X S,REN J F,et al. Gas exploration and developing prospect in Ordos Basin. Acta Petrolei Sinica,2006,27(6): 1-4.
[2] 何辉,宋新民,蒋有伟,等. 砂砾岩储层非均质性及其对剩余 油分布的影响——以克拉玛依油田二中西区八道湾组为例. 岩性油气藏,2012,24(2):117-123. HE H,SONG X M,JIANG Y W,et al. Heterogeneity of sandy conglomerate reservoir and its influence on remaining oil distribution: A case study from Badaowan Formation in the midwest of block Ⅱ in Karamay Oilfield. Lithologic Reservoirs, 2012,24(2):117-123.
[3] 王月莲,宋新民. 按流动单元建立测井储集层解释模型. 石油 勘探与开发,2002,29(3):53-55. WANG Y L,SONG X M. New method for well log interpretation by single fluid flow unit. Petroleum Exploration and Development, 2002,29(3):53-55.
[4] 董春梅,林承焰,赵海朋,等. 基于流动单元的测井储层参数 解释模型.测井技术,2006,30(5):425-428. DONG C M,LIN C Y,ZHAO H P,et al. Model of well logging reservoir parameters interpretation based on flow units. Well Logging Technology,2006,30(5):425-428.
[5] 曾少军,何胜林,王利娟,等. 基于流动单元的测井储层参数 精细建模技术.天然气工业,2011,31(8):12-15. ZENG S J,HE S L,WANG L J,et al.Well logging reservoir parameter elaboration modelling technology based on flow unit. Natural Gas Industry,2011,31(8):12-15.
[6] 谭成仟,段爱英. 基于岩石物理相的储层渗透率解释模型研 究.测井技术,2001,25(4):287-290. TAN C Q,DUAN A Y. On the permeability models based on the petrophysical facie. Well Logging Technology,2001,25(4): 287-290.
[7] 宋子齐,杨红刚,孙颖,等. 利用岩石物理相分类研究特低渗 透储层参数建模. 断块油气田,2010,17(6):672-677. SONG Z Q,YANG H G,SUN Y,et al. Study on parametric modeling of ultra-low permeability reservoir with petrophysical facies classification. Fault- Block Oil and Gas Field,2010,17 (6):672-677.
[8] 景成,宋子齐,蒲春生,等. 基于岩石物理相分类确定致密气 储层渗透率——以苏里格东区致密气储层渗透率研究为例. 地球物理学进展,2013,28(6):3222-3230. JING C,SONG Z Q,Pu C S,et al. Refined permeability of tight gas reservoir based on petrophysical facies classification: Taking the study of tight gas reservoir permeability in the eastern of Sulige for an example. Progress in Geophysics,2013,28(6): 3222-3230.
[9] 赖锦,王贵文,罗官幸,等. 基于岩石物理相约束的致密砂岩 气储层渗透率解释建模. 地球物理学进展,2014,29(3):1173- 1182. LAI J,WANG G W,LUO G X,et al. Tight sandstone gas permeability interpretation modeling controlled by petrophysical facies. Progress in Geophysics,2014,29(3):1173-1182.
[10] 宋子齐,唐长久,刘晓娟,等. 利用岩石物理相“甜点”筛选特 低渗透储层含油有利区.石油学报,2008,29(5):711-716. SONG Z Q,TANG C J,LIU X J,et al. Determination of favorable oi-l bearing areas with extra low-permeability reservoir by “dessert”of petro-physical facies. Acta Petrolei Sinica,2008,29 (5):711-716.
[11] 张吉,张烈辉,陈军,等. 岔河集油田岔39 块流动单元系统聚 类划分及特征分析.河南石油,2004,18(6):33-36. ZHANG J,ZHANG L H,CHEN J,et al. Systematic clustering classfication and feature analysis of flow units in cha 39 block in Chaheji Oilfield. Henan Petroleum,2004,18(6):33-36.
[12] 王奇,祝敏荣. 模糊聚类分析在储层流动单元研究中的应用. 石油化工应用,2009,28(5):55-57. WANG Q,ZHU M R. Application of fuzzy clustering analysis to study on reservoir flow unit. Petrochemical Industry Application, 2009,28(5):55-57.
[13] 岳大力,吴胜和,林承焰. 碎屑岩储层流动单元研究进展. 中 国科技论文在线,2008,3(11):810-817. YUE D L,WU S H,LIN C Y. Research progress in flow unit of clastic reservoir. Sciencepaper Online,2008,3(11):810-817.
[14] 宋子齐. 测井多参数的地质应用. 西安,西北大学出版社, 1993:110-140. SONG Z Q. Geological application of logging multi-parameter. Xi'an:Northwestern University Press,1993:110-140.
[15] 景成,蒲春生,周游,等. 基于成岩储集相测井响应特征定量 评价致密气藏相对优质储层——以SULG东区致密气藏盒8 上段成岩储集相为例. 天然气地球科学,2014,25(5):657- 664. JING C,PU C S,ZHOU Y,et al. Quantitatively evaluating relatively beneficial reservoir of tight gas reservoirs based on diagenetic reservoir facies log response feature:Taking the diagenetic reservoir facies classification of the He 8-1 in the tight gas reservoir of SULG east area for an example. Natural Gas Geoscience, 2014,25(5):657-664.
[16] 宋子齐,杨立雷,王宏,等. 灰色系统储层流动单元综合评价 方法. 大庆石油地质与开发,2007,26(3):76-81. SONG Z Q,YANG L L,WANG H,et al. Comprehensive evaluation method of reservoir flow unit with grey system. Petroleum Geology and Oilfield Development In Daqing,2007,26 (3):76-81.
[17] 宋子齐,王建功. 储层定量评价指标和权系数研究. 测井技 术,1997,21(5):351-355. SONG Z Q,WANG J G. A Study on quantitative reservoir evaluation norms and weight coefficient. Logging Technology, 1997,21(5):351-355.
[1] ZHAO Jun, LI Yong, WEN Xiaofeng, XU Wenyuan, JIAO Shixiang. Prediction of shale formation pore pressure based on Zebra Optimization Algorithm-optimized support vector regression [J]. Lithologic Reservoirs, 2024, 36(6): 12-22.
[2] YU Qixiang, LUO Yu, DUAN Tiejun, LI Yong, SONG Zaichao, WEI Qingliang. Reservoir forming conditions and exploration prospect of Jurassic coalbed methane encircling Dongdaohaizi sag，Junggar Basin [J]. Lithologic Reservoirs, 2024, 36(6): 45-55.
[3] RAN Yixuan, WANG Jian, ZHANG Yi. Favorable exploration area and formation condition of bedrock reservoir in the of central paleo-uplift，northern Songliao Basin [J]. Lithologic Reservoirs, 2024, 36(6): 66-76.
[4] ZHANG Tianze, WANG Hongjun, ZHANG Liangjie, ZHANG Wenqi, XIE Mingxian, LEI Ming, GUO Qiang, ZHANG Xuerui. Application of ray-path elastic impedance inversion in carbonate gas reservoir prediction of the right bank of Amu Darya River [J]. Lithologic Reservoirs, 2024, 36(6): 56-65.
[5] CUI Chuanzhi, LI Jing, WU Zhongwei. Simulation of microscopic seepage characteristics of CO2 immiscible flooding under the effect of diffusion and adsorption [J]. Lithologic Reservoirs, 2024, 36(6): 181-188.
[6] ZHANG Peijun, XIE Mingxian, LUO Min, ZHANG Liangjie, CHEN Renjin, ZHANG Wenqi, YUE Xingfu, LEI Ming. Analysis of deformation mechanism of ultra thick gypsum salt rock and its significance for oil and gas reservoir formation：A case study of the Jurassic gypsum salt layers in theAgayry region，eastern right bank of theAmu Darya River [J]. Lithologic Reservoirs, 2024, 36(6): 36-44.
[7] YIN Lu, LI Bo, QI Wen, SUN Dong, YUE Xingfu, MA Hui. Origins and accumulation characteristics of large-scale generation of natural hydrogen [J]. Lithologic Reservoirs, 2024, 36(6): 1-11.
[8] Guan Yunwen, Su Siyu, Pu Renhai, Wang Qichao, Yan Sujie, Zhang Zhongpei, Chen Shuo, Liang Dongge. Palaeozoic gas reservoir-forming conditions and main controlling factors in Xunyi area，southern Ordos Basin [J]. Lithologic Reservoirs, 2024, 36(6): 77-88.
[9] BAI Yubin, LI Mengyao, ZHU Tao, ZHAO Jingzhou, REN Haijiao, WU Weitao, WU Heyuan. Geochemical characteristics of source rocks and evaluation of shale oil “sweet spot”of Permian Fengcheng Formation in Mahu Sag [J]. Lithologic Reservoirs, 2024, 36(6): 110-121.
[10] QU Weihua, TIAN Ye, DONG Changchun, GUO Xiaobo, LI Lili, LIN Siya, XUE Song, YANG Shihe. Characteristics of Cretaceous source rocks and their controlling effect on hydrocarbon accumulation in Dehui Fault Depression，Songliao Basin [J]. Lithologic Reservoirs, 2024, 36(6): 122-134.
[11] WANG Yifeng, TIAN Jixian, LI Jian, QIAO Tong, LIU Chenglin, ZHANG Jingkun, SHA Wei, SHEN Xiaoshuang. Geochemical characteristics of Permian condensate oil and gas and phase types in southwest of Mahu Sag [J]. Lithologic Reservoirs, 2024, 36(6): 149-159.
[12] HONG Zhibin, WU Jia, FANG Peng, YU Jinyang, WU Zhengyu, YU Jiaqi. Heterogeneity of soluble organic matter in shale and occurrence state of shale oil under nanoconfinement [J]. Lithologic Reservoirs, 2024, 36(6): 160-168.
[13] QIAO Tong, LIU Chenglin, YANG Haibo, WANG Yifeng, LI Jian, TIAN Jixian, HAN Yang, ZHANG Jingkun. Characteristics and genetic mechanism of condensate oil and gas of the Jurassic Sangonghe Formation in western well Pen-1 sag，Junggar Basin [J]. Lithologic Reservoirs, 2024, 36(6): 169-180.
[14] LI Daoqing, CHEN Yongbo, YANG Dong, LI Xiao, SU Hang, ZHOU Junfeng, QIU Tingcong, SHI Xiaoqian. Intelligent comprehensive prediction technology of coalbed methane “sweet spot”reservoir of Jurassic Xishanyao Formation in Baijiahai uplift，Junggar Basin [J]. Lithologic Reservoirs, 2024, 36(6): 23-35.
[15] SU Hao, GUO Yandong, CAO Liying, YU Chen, CUI Shuyue, LU Ting, ZHANG Yun, LI Junchao. Natural depletion characteristics and pressure maintenance strategies of faultcontrolled fracture-cavity condensate gas reservoirs in Shunbei Oilfield [J]. Lithologic Reservoirs, 2024, 36(5): 178-188.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] YANG Zhanlong,ZHANG Zhenggang,CHEN Qilin,GUO Jingyi,SHA Xuemei,LIU Wensu. Using multi-parameters analysis of seismic information to evaluate lithologic traps in continental basins[J]. Lithologic Reservoirs, 2007, 19(4): 57 -63 .
[2] FANG Chaohe, WANG Yifeng, ZHENG Dewen, GE Zhixin. Maceral and petrology of Lower Tertiary source rock in Qintong Sag, Subei Basin[J]. Lithologic Reservoirs, 2007, 19(4): 87 -90 .
[3] LIN Chengyan, TAN Lijuan, YU Cuiling. Research on the heterogeneous distribution of petroleum(Ⅰ)[J]. Lithologic Reservoirs, 2007, 19(2): 16 -21 .
[4] WANG Tianqi, WANG Jiangong, LIANG Sujuan, SHA Xuemei. Fine oil exploration of Putaohua Formation in Xujiaweizi area, Songliao Basin[J]. Lithologic Reservoirs, 2007, 19(2): 22 -27 .
[5] WANG Xiwen,SHI Lanting,YONG Xueshan,YNAG Wuyang. Study on seismic impedance inversion[J]. Lithologic Reservoirs, 2007, 19(3): 80 -88 .
[6] HE Zongbin,NI Jing,WU Dong,LI Yong,LIU Liqiong,TAI Huaizhong. Hydrocarbon saturation determined by dual-TE logging[J]. Lithologic Reservoirs, 2007, 19(3): 89 -92 .
[7] YUAN Shengxue,WANG Jiang. Identification of the shallow gas reservoir in Shanle area,Tuha Basin[J]. Lithologic Reservoirs, 2007, 19(3): 111 -113 .
[8] CHEN Fei，WEI Dengfeng，YU Xiaolei，WU Shaobo. Sedimentary facies of Chang 2 oil-bearing member of Yanchang Formation in Yanchi-Dingbian area, Ordos Basin[J]. Lithologic Reservoirs, 2010, 22(1): 43 -47 .
[9] XU Yunxia，WANG Shanshan，YANG Shuai. Using Walsh transform to improve signal-to-noise ratio of seismic data[J]. Lithologic Reservoirs, 2009, 21(3): 98 -100 .
[10] LI Jianming，SHI Lingling，WANG Liqun，WU Guangda. Characteristics of basement reservoir in Kunbei fault terrace belt in southwestern Qaidam Basin[J]. Lithologic Reservoirs, 2011, 23(2): 20 -23 .
TRENDMD:

Copyright © 2018 Lithologic Reservoirs

Support by Beijing Magtech support@magtech.com.cn