Combining autoencoder neural network and Bayesian inversion algorithms to estimate heterogeneous fracture permeability in enhanced geothermal reservoirs
Combining autoencoder neural network and Bayesian inversion algorithms to estimate heterogeneous fracture permeability in enhanced geothermal reservoirs
复制标题
结合自动编码器神经网络和贝叶斯反演算法来估计增强型地热储层的非均质裂缝渗透率
DOI：
10.1002/essoar.10501256.1
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Tianfu Xu
中科院分区：
文献类型：
--
作者：
Zhenjiao Jiang;Siyu Zhang;C. Turnadge;Tianfu Xu
虽然水力压裂被广泛用于提高深层地热、天然气和石油储层的渗透率，但推断深层地热、天然气和石油储层中渗透率的非均匀分布仍然具有挑战性。
While hydraulic fracturing is widely used to enhance the permeability of deep geothermal, gas and oil reservoirs, it remains challenging to infer the heterogeneous distribution of permeability in t...