Numerical simulation and experimental study on dissolving characteristics of layered salt rocks  

作　　者：Qiqi Wanyan Yiming Xiao Na Tang 

机构地区：[1]China University of Petroleum-Beijing,Beijing J02249,China [2]College of Chemical Engineering and Material Science,Tianjin University of Science and Technology,Tianjin 300457,China [3]Tianjin Key Laboratory of Marine Resources and Chemistry,Tianjin 300457,China

出　　处：《Chinese Journal of Chemical Engineering》2019年第5期1030-1036,共7页中国化学工程学报（英文版）

摘　　要：Underground salt cavern reservoirs are ideal spaces for energy storage. China is rich in salt rock resources with layered lacustrine sedimentary structures. However, the dissolution mechanism of layered salt rocks remains poorly understood, resulting in significant differences between the actual measurements and the designed indices for the layered salt rock water-soluble cavity-making cycle and the cavity shape. In this work, the dissolution rates of 600 groups of layered salt rocks in China under different conditions were determined experimentally.Thus, the established artificial neural network prediction model was used to assess the effects of the contents of NaCl, Na2 SO4, and CaSO4 in the salt rocks, concentrations, dissolution angles, and flow rates on their dissolution rates by performing ANOVA and F-test. The results provide a theoretical basis for evaluating the dissolution rate of layered salt rocks under different conditions and for the numerical simulation of the layered salt rock water-soluble cavity-making process.Underground salt cavern reservoirs are ideal spaces for energy storage. China is rich in salt rock resources with layered lacustrine sedimentary structures. However, the dissolution mechanism of layered salt rocks remains poorly understood, resulting in significant differences between the actual measurements and the designed indices for the layered salt rock water-soluble cavity-making cycle and the cavity shape. In this work, the dissolution rates of 600 groups of layered salt rocks in China under different conditions were determined experimentally.Thus, the established artificial neural network prediction model was used to assess the effects of the contents of NaCl, Na2 SO4, and CaSO4 in the salt rocks, concentrations, dissolution angles, and flow rates on their dissolution rates by performing ANOVA and F-test. The results provide a theoretical basis for evaluating the dissolution rate of layered salt rocks under different conditions and for the numerical simulation of the layered salt rock water-soluble cavity-making process.

关 键 词：SALT CAVERN RESERVOIRS LAYERED SALT rock DISSOLUTION rate ANOVA 

分 类 号：TQ[化学工程]