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盐岩储库腔底堆积物空隙体积试验与计算
引用本文:任众鑫,杨海军,李建君,刘建仪,范舟.盐岩储库腔底堆积物空隙体积试验与计算[J].西南石油大学学报(自然科学版),2018,40(2):142-150.
作者姓名:任众鑫  杨海军  李建君  刘建仪  范舟
作者单位:1. 中国石油西气东输管道公司, 江苏 镇江 212000;2. “油气藏地质及开发工程”国家重点实验室·西南石油大学, 四川 成都 610500;3. 西南石油大学材料科学与工程学院, 四川 成都 610500
基金项目:中国石油天然气集团专业公司项目(2013B-3401-0503);中国石油天然气股份公司科技重大专项(2015E-40)
摘    要:受建库盐层本身地质特点影响,造腔结束后,底部一般会堆积大量不溶物。堆积物的存在既浪费了有效库容体积,又为整体建库施工带来了诸多不利因素。为科学评价该堆积物并进行有效处理或转变利用以增大库容体积,对其分布特征及堆积空隙体积进行了研究。通过室内溶腔实验获取了堆积不溶物样品,采用筛分法实验测定了其颗粒分布,并根据分形分布理论对其粒度分布特征进行了分析,进而基于可压缩堆积模型对堆积空隙体积进行了数值及模型研究。应用实例进行计算并与现场数据进行了对比评价验证,结果表明,在双对数坐标系下,腔底堆积物颗粒尺寸与累积数量呈线性相关,即其粒度分布可用分形分布函数进行表征,且分形维数作为分布特征参量能较好地描述颗粒均匀程度与集中性。

关 键 词:盐岩  储气库  堆积物  空隙体积  可压缩堆积模型  
收稿时间:2016-12-06

Testing and Calculation of the Pore Volume of Bottom Deposits in the Salt Rock Reservoir
REN Zhongxin,YANG Haijun,LI Jianjun,LIU Jianyi,FAN Zhou.Testing and Calculation of the Pore Volume of Bottom Deposits in the Salt Rock Reservoir[J].Journal of Southwest Petroleum University(Seience & Technology Edition),2018,40(2):142-150.
Authors:REN Zhongxin  YANG Haijun  LI Jianjun  LIU Jianyi  FAN Zhou
Institution: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
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.
Keywords:salt rock  gas storage  deposits  pore volume  compressible packing model  
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