The emergence of artificial intelligence (AI) and, more particularly, machine learning (ML),
has had a significant impact on engineering and the fundamental sciences, resulting in …

This review focuses on recent advancements in data-driven methods for analyzing flow and
transport in porous media, which are showing promising potential for applications in energy …

Coupled pressure-driven (viscous) flow and spontaneous imbibition are the main regimes
during shale oil production. Revealing the unclear mechanisms of this coupled flow is a …

Field practices show that CO 2 huff and puff can effectively promote the exploitation of shale
resources, and CO 2 diffusion is noteworthy as a crucial mechanism of enhanced oil …

The problem of generating microstructures of complex materials in silico has been
approached from various directions including simulation, Markov, deep learning and …

The shale revolution has provided abundant shale oil/gas resources for the world, but the
efficient, sustainable, and environmentally friendly exploitation of shale oil/gas is still …

Hydraulic fracturing is an effective means to increase natural gas production, and alternating
fracturing is a special fracturing method. Compared with sequential fracturing, alternating …

Reservoir characterization is one of the main engineering components to ensure the
optimum exploration and development of oil and gas. Deep-learning-based approaches are …

We propose machine learning (ML) based smart interpolation functions to enhance the finite
element computation (named as smart-I finite element) for the heterogeneous structures (eg …

Predicting the reservoir dynamic performance is an important basis for exploiting the
remaining oil and improving the recovery. Traditional prediction techniques primarily include …