为了估计CO2在纯水和盐水中的可溶性,使用级联前进神经网络和通用回归神经网络:应用于CO2溶解捕获在盐水层中的应用

Xinyuan Zou1,2, Yingting Zhu2,3, Jing Lv2,3

  • 1State Key Laboratory of Enhanced Oil Recovery, Research Institute of Petroleum Exploration and Development, CNPC, Beijing 100083, China.

ACS omega
|February 5, 2024
PubMed
概括

预测二氧化碳 (CO2) 在盐水中的溶解度对于碳捕获和储存至关重要. 一个带有莱文伯格-马奎特优化 (CFNN-LM) 的级联前进神经网络准确地模拟了二氧化碳溶解度,显示了压力.

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