4.7 Article

Shale pore size classification: An NMR fluid typing method

期刊

MARINE AND PETROLEUM GEOLOGY
卷 96, 期 -, 页码 591-601

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.marpetgeo.2018.05.014

关键词

Gas shale; Nuclear magnetic resonance (NMR); Pore classification; Unrecoverable fluid; Dual T-2 cutoffs; Pore size distribution

资金

  1. National Natural Science Foundation of China [41472137, 41711530129]
  2. Foundation for the Author of National Excellent Doctoral Dissertation of PR China [201253]

向作者/读者索取更多资源

Shale reservoir is characterized by complex pore networks, within which there are various pore fluids including unrecoverable fluid, capillary bound fluid and movable fluid. Although considerable literature has investigated the pore structure of gas shale using different laboratory testing techniques, few papers have provided a quantified model to distinguish different types of fluids (corresponding to different pore types) in shale. In this study, seven shale core plugs from the Sichuan Basin were measured in a series of NMR experiments under full brine-saturated, centrifugal and heat-treated conditions to analyze the pore structure information and pore fluid transport during the processes of centrifuging and heating. For a typical T-2 spectrum of 100% brine-saturated shale, the movable fluid T-2 cutoff (T-2C1) and unrecoverable fluid cutoff (T-2C2) were derived from NMR centrifugal and heat-treated experiments to distinguish the unrecoverable fluid (T (2) < T-2C2), capillary bound fluid (T-2C2 < T-2 < T-2C1) and movable fluid (T-2 > T-2C1). Our results show that for the investigated shales, the T-2C2 ranges from 0.09 ms to 0.36 ms, and T-2C1 has a wide range from 0.45 ms to 2.98 ms. The surface relaxivities range from 0.00426 pm/ms to 0.02822 pin/ms, and the shales having high silicate mineral contents commonly have low surface relaxivities. A conceptional model based on the dual T-2 cutoff method was constructed to illustrate the full-scale pore size distribution: unrecoverable fluid pores, capillary bound fluid pores and movable fluid pores. This study provides a new method of pore fluid typing and full-scale pore size distribution classification for shales.

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