Lithologic Reservoirs ›› 2017, Vol. 29 ›› Issue (3): 126-131.doi: 10.3969/j.issn.1673-8926.2017.03.015

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Brittleness of tight gas reservoirs based on stress-strain curves

ZHANG Jie1, ZHANG Chaomo1,2, ZHANG Zhansong1,2, ZHANG Chong1,2, NIE Xin1,2   

  1. 1. Geophysics and Oil Resource Institute, Yangtze University, Wuhan 430100, China;
    2. Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Jingzhou 434023, Hubei, China
  • Received:2016-12-13 Revised:2017-02-09 Online:2017-05-21 Published:2017-05-21

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Abstract: The brittleness of rocks is one of the most important parameters in tight gas exploration and development. The higher the reservoir rock brittleness is, the more fracturing fracture develops, and the higher the production capacity will be. A variety of brittleness calculation formulas were used to establish a new calculation model of brittleness index of the Permian tight gas reservoir in northeastern Ordos Basin by researching the uniaxial compression crack mechanism of brittle rock, and the stress and strain of the first crack point and the peak under uniaxial compression. The results show that the brittleness index calculated by the new model can characterize the brittleness of the rocks effectively, because it has obvious function relationship with the brittleness calculated by static rock mechanics parameters in the experiments. Based on the fracturing effect in uniaxial compressive experiments, the new brittleness index and the initial crack point index could be used to establish the standard of reservoir fracturing effect. This result enriches the reservoir brittleness calculation method, and sets a new standard of brittleness evaluation.

Key words: petrophysical facies-flow unit, ultra-low permeability reservoir, high quality reservoirs, logging response characteristics, quantitative evaluation

CLC Number: 

  • TU45
[1] 闫建平, 温丹妮, 司马立强, 等.基于测井和录井信息相结合的泥页岩储层识别方法——以苏北盆地高邮凹陷阜宁组为例.岩性油气藏, 2015, 27(4):89-95. YAN J P, WEN D N, SIMA L Q, et al. Identification method of shale reservoir based on well logging and log information. Lithologic Reservoirs, 2015, 27(4):89-95.
[2] 张小龙, 张同伟, 李艳芳, 等.页岩气勘探和开发进展综述.岩性油气藏, 2013, 25(2):116-122. ZHANG X L, ZHANG T W, LI Y F, et al. Research advance in exploration and development of shale gas. Lithologic Reservoirs, 2013, 25(2):116-122.
[3] JESSEV H. Glossary of geology and related sciences. Washington D. C:American Geological Institute, 1960:99-102.
[4] 闫建平, 言语, 司马立强, 等.泥页岩储层裂缝特征及其与"五性"之间的关系.岩性油藏, 2015, 27(3):87-93. YAN J P, YAN Y, SIMA L Q, et al. Relationship between fracture characteristics and "five-property" of shale reservoir. Lithologic Reservoirs, 2015, 27(3):87-93.
[5] HONDA H, SANADA Y. Hardness of coal. Fuel, 1956, 35(4):451.
[6] JARVIE D M, HILL R J, RUBLE T E, et al. Unconventional shale-gas systems:the Mississippian Barnett Shale of northcentral Texas as one model for thermogenic shale-gas assessment. AAPG Bulletin, 2007, 91(4):475-499.
[7] HUCKA V, DAS B. Brittleness determination of rocks by different methods. International Journal of Rock Mechanics and Mining Sciences and Geomechanics Abstracts, 1974, 11(10):389-392.
[8] RICKMAN R, MULLEN M, PORTER E, et al. A practical use of shale petrophysics for stimulation design optimization:all shale plays are not clones of the Barnett Shale. SPE 115258, 2008.
[9] 王宇, 李晓, 武艳芳, 等.脆性岩石起裂应力水平与脆性指标关系探讨. 岩石力学与工程学报, 2014, 33(2):264-275. WANG Y, LI X, WU Y F, et al. Research on relationship between crack initiation stress level and brittleness indices for brittle rocks. Chinese Journal of Rock Mechanics and Engineering, 2014, 33(2):264-275.
[10] AUBERTIN M, GILL D E, SIMON R. On the use of the brittleness index modified(BIM)to estimate the post peak behavior or rocks. The 1st North American Rock Mechanics Symposium. Rotterdam:A. A. Balkema Press, 1994:945-952.
[11] ANDREEV G E. Brittle failure of rock materials:test results and constitutive models. Netherlands:A. A. Balkema Press, 1995:123-127.
[12] HAJIABDOLAMJID V, KAISER P. Brittleness of rock and stability assessment in hard rock tunneling. Tunnelling and Underground Space Technology, 2003, 18(1):35-48.
[13] ALTINDAG R. The correlation of specific energy with rock brittleness concept on rock cutting. Journal of the South African Institute of Mining and Metallurgy, 2003, 103(3):163-171.
[14] 周辉, 孟凡震, 卢景景, 等.硬岩裂纹起裂强度和损伤强度取值方法探讨. 岩土力学, 2014, 35(4):913-918. ZHOU H, MENG F Z, LU J J, et al. Discussion on methods for calculating crack initiation strength and crack damage strength for hard rock. Rock and Soil Mechanics, 2014, 35(4):913-918.
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