吉林大学学报(地球科学版) ›› 2020, Vol. 50 ›› Issue (1): 285-293.doi: 10.13278/j.cnki.jjuese.20190001

• 地球探测与信息技术 • 上一篇    

基于岩石物理模型的碳酸盐岩储层微观孔隙特征分析方法

李博南1,2, 曲寿利1, 沈珲1   

  1. 1. 中国石化石油物探技术研究院, 南京 211100;
    2. 南京工业大学交通运输工程学院, 南京 210009
  • 收稿日期:2019-01-02 发布日期:2020-02-11
  • 作者简介:李博南(1988-),男,工程师,博士,主要从事岩石物理实验等效介质理论与地震资料反演方法研究,E-mail:bnmacsky@126.com
  • 基金资助:
    国家科技重大专项(2016ZX05014-001-001)

Microscopic Characterization Method of Carbonate Reservoirs Based on Rock Physics Model

Li Bonan1,2, Qu Shouli1, Shen Hui1   

  1. 1. Sinopec Geophysical Research Institute, Nanjing 211100, China;
    2. College of Transportation Science and Engineering, Nanjing Tech University, Nanjing 210009, China
  • Received:2019-01-02 Published:2020-02-11
  • Supported by:
    Supported by National Science and Technology Major Project (2016ZX05014-001-001)

摘要: 碳酸盐岩储层的微观孔隙结构普遍具有类型复杂和纵向变化快的特征。由于地球物理资料尺度的限制,现有的解释手段不能有效刻画这些关键特征。笔者采用临界孔隙度模型作为理论依据,建立了微观孔隙结构与宏观弹性参数响应之间的定量关系;以岩石物理实验数据为约束,提出了一种基于概率统计学的方法估算储层关键参数并识别岩石孔隙类型。在YS1井的应用表明:新方法有效挖掘了声波测井数据中隐含的微观信息,参数预测结果达到较高的精度(平均相对误差小于10%),可以为优质储层段的划分提供可靠的参考依据。

关键词: 碳酸盐岩储层, 岩石物理模型, 临界孔隙度, 贝叶斯估计

Abstract: The microscopic characteristics of carbonate reservoirs cannot be easily described due to the limitation of existing geophysical data scale. By using the critical porosity model as rock physical theory, the relationships between pore structures and elastic responses were built, and the key parameters were estimated through statistical method. Furthermore, the experiments were used to classify logging data with their critical porosities. The results indicate that the accuracy and stability of this new method (error less than 10%) meet the needs of carbonate reservoir exploration at Log YS1. It provides a new method to reduce the pore complexity and inversion uncertainty, and has reference value for geological interpretation.

Key words: carbonate reservoirs, rock physics modelling, critical porosity, Bayesian estimation

中图分类号: 

  • TE19
[1] Birch F. The Velocity of Compressional Waves in Rocks to 10 Kilobars[J]. Journal of Geophysical Research, 1961, 65(4):1083-1102.
[2] Nur A. Effectsof Stress on Velocity Anisotropy in Rocks with Cracks[J]. Journal of Geophysical Research, 1971, 76(8):2022-2034.
[3] Mavko G, Mukerji T. Seismic Pore Space Compressibility and Gassmann's Relation[J]. Geophysics, 2009, 60(6):1743-1749.
[4] Schubnel A, Fortin J, Burlini L, et al. Damage and Recovery of Calcite Rocks Deformed in the Cataclastic Regime[J]. Geological Society London Special Publications, 2005, 245(1):203-221.
[5] Wang Z.Seismic Anisotropy in Sedimentary Rocks[J]. Geophysics, 2001, 67(5):1423-1440.
[6] Kuster G T, Toksöz M N. Velocity and Attenuation of Seismic Waves in Two-Phase Media:Part II:Experimental Results[J]. Geophysics, 1974, 39(5):607.
[7] Xu S, Payne M A. ModelingRlastic Properties in Carbonate Rocks[J]. The Leading Edge, 2009, 28(1):66-74.
[8] Eberli G P. Factors Controlling Elastic Properties in Carbonate Sediments and Rocks[J]. Leading Edge, 2003, 22(7):654-660.
[9] Berryman J G, Pride S R, Wang H F. A Differential Scheme for Elastic Properties of Rocks with Dry or Saturated Cracks[J]. Geophysical Journal of the Royal Astronomical Society, 2010, 151(2):597-611.
[10] Nur A M,Mavko G, Dvorkin J, et al. Critical Porosity:A Key to Relating Physical Properties to Porosity in Rocks[J]. Leading Edge, 2000, 17(1):878-881.
[11] Keys R G, Xu S. An Approximation for the Xu-White Velocity Model[J]. Geophysics, 2002, 67(5):1406-1414.
[12] Murphy W F.Interpretation Physics of vP and vS in Sedimentary Rocks[J]. Spwla Annual Log Symp, 1991, 58(2):1-24.
[13] 李蓉,许国明,宋晓波,等.川西坳陷雷四3亚段储层控制因素及孔隙演化特征[J].东北石油大学学报, 2016, 40(5):63-74. Li Rong, Xu Guoming, Song Xiaobo, et al. Reservoir Characteristics and Control Factor of the Third Period of the Forth Leikoupo Formation in Western Sichuan Depression[J]. Journal of Northeast Petroleum University, 2016, 40(5):60-74.
[14] 王璐,杨胜来,彭先,等.缝洞型碳酸盐岩气藏多类型储集层孔隙结构特征及储渗能力:以四川盆地高石梯-磨溪地区灯四段为例[J].吉林大学学报(地球科学版),2019,49(4):947-958. Wang Lu, Yang Shenglai, Peng Xian, et al. Pore Structure Characteristics and Storage-Seepage Capability of Muti-Type Reservoirs in Fracture-Cavity Carbonate Gas Reservoirs:A Case Study of Deng-4 Member in Gaoshiti-Moxi Area, Sichuan Basin[J]. Journal of Jilin University (Earth Science Edition), 2019, 49(4):947-958.
[1] 逄硕, 刘财, 郭智奇, 刘喜武, 霍志周, 刘宇巍. 基于岩石物理模型的页岩孔隙结构反演及横波速度预测[J]. 吉林大学学报(地球科学版), 2017, 47(2): 606-615.
[2] 金博, 黄先雄, 常广发,张胜斌,付海波,李铁柱. 滨里海盆地Д南石炭系碳酸盐岩储层类型及分布特征[J]. 吉林大学学报(地球科学版), 2014, 44(6): 2042-2050.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!