西南石油大学学报(自然科学版) ›› 2018, Vol. 40 ›› Issue (2): 142-150.DOI: 10.11885/j.issn.1674-5086.2016.12.06.02

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Testing and Calculation of the Pore Volume of Bottom Deposits in the Salt Rock Reservoir

REN Zhongxin1, YANG Haijun1, LI Jianjun1, LIU Jianyi2, FAN Zhou3   

  1. 1. West-East Pipeline Company, PetroChina, Zhenjiang, Jiangsu 212000, China;
    2. State Key Laboratary of Oil and Gas Reservoir Geology and Exploration, Southwest Petroleum University, Chengdu, Sichuan 610500, China;
    3. School of Materials Science and Engineering, Southwest Petroleum University, Chengdu, Sichuan 610500, China
  • Received:2016-12-06 Online:2018-04-01 Published:2018-04-01

Abstract: Affected by the geological characteristics of the reservoir-building salt layer, generally, after cavern creation is completed, a large amount of insoluble matter will accumulate at the bottom. The existence of deposits not only reduces the effective storage volume but also results in many unfavorable factors for the overall construction of the reservoir. In order to scientifically evaluate the deposits and effectively handle them or transform them to increase the storage volume, their distribution characteristics and deposition pore volume were studied. Samples of deposited insoluble matter were obtained by indoor cavern experiments. The particle size distribution was determined by sieving. The distribution characteristics of particle size were analyzed according to the fractal distribution theory, and numerical modeling studies of the deposition pore volume were conducted based on the compressible packing model. Real cases were used in the calculations, and a comparison with field data was conducted. The results show that in the double-logarithmic coordinate system, the particle size of the bottom deposits is linearly correlated with the cumulative amount; that is, the distribution of particle size can be characterized by the fractal distribution function. The fractal dimension can be used as a distribution characteristic parameter to describe the uniformity and centrality of particles.

Key words: salt rock, gas storage, deposits, pore volume, compressible packing model

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