Li Lijun, Zhao Shuhua, Wang Shuli, Rao Yongchao
School of Petroleum Engineering, Changzhou University Jiangsu 213164 China
RSC Adv. 2020 Apr 1;10(21):12451-12459. doi: 10.1039/c9ra10073c. eCollection 2020 Mar 24.
Hydrate generation promotion and kinetic models are key issues in the hydrate utilization technology. The formation kinetics of CO hydrates in a graphene oxide (GO) and sodium dodecyl sulfate (SDS) compounding accelerator system was studied experimentally, and the influences of different concentrations on the hydrate formation time and gas consumption were revealed. The results show that with the combination of GO and SDS, the formation rate of CO hydrates was accelerated, the induction time and generation time were shortened, and the gas consumption increased. The optimal compounding concentration was 0.005% GO and 0.2% SDS. Compared with the observations for pure water and a single 0.005% GO system, the hydrate formation time was shortened by 69.7% and 12.2%, respectively, and the gas consumption increased by 11.24% and 3.2%. A chemical affinity model of CO hydrate formation was established for this system. The effects of the GO and SDS compound ratio, temperature and pressure on the chemical affinity model parameters were studied from the model point of view. On using Matlab to program the model and compare it with the experimental results, very good agreement was achieved. Through research, the chemical affinity model can accurately predict the formation of hydrates in complex systems.
水合物生成促进及动力学模型是水合物利用技术中的关键问题。实验研究了氧化石墨烯(GO)与十二烷基硫酸钠(SDS)复合促进剂体系中CO水合物的生成动力学,揭示了不同浓度对水合物生成时间和气体消耗的影响。结果表明,GO与SDS复合后,CO水合物的生成速率加快,诱导时间和生成时间缩短,气体消耗增加。最佳复合浓度为0.005%的GO和0.2%的SDS。与纯水和单一0.005% GO体系相比,水合物生成时间分别缩短了69.7%和12.2%,气体消耗分别增加了11.24%和3.2%。为此体系建立了CO水合物生成的化学亲和模型。从模型角度研究了GO与SDS的复合比例、温度和压力对化学亲和模型参数的影响。利用Matlab对模型进行编程并与实验结果进行比较,结果吻合良好。通过研究,化学亲和模型能够准确预测复杂体系中水合物的生成。