Geothermal reservoirs are highly anisotropic and heterogeneous, and thus require a variety
of structural geology, geomechanical, remote sensing, geophysical and hydraulic …

The advent of technology including big data has allowed machine learning technology to
strengthen its place in solving different science and engineering complex problems …

This paper presents the potential of applying physics-informed neural networks for solving
nonlinear multiphysics problems, which are essential to many fields such as biomedical …

裂缝性油气藏在世界石油和天然气的产量, 储量中均占有十分重要的地位. 天然裂缝一方面可以
显著改善储层的渗透性, 甚至可以为油气聚集提供一定的储集空间, 另一方面对储层的压裂改造 …

Fluid flow in naturally fractured reservoirs is often controlled by subseismic-scale fracture
networks. Although the fracture network can be partly sampled in the direct vicinity of wells …

Predicting equivalent permeability in fractured reservoirs requires an understanding of the
fracture network geometry and apertures. There are different methods for defining aperture …

Determining the permeability of fractured rocks depends significantly on fracture geometry
and topology. To date, no practical approach has been proposed to produce realistic binary …

Conventional geological modelling methods are not capable to provide precise and
comprehensive model of the subsurface structures, when dealing with insufficient data …

Fractured oil and gas reservoirs occupy an important position in world's oil and gas output
and reserves. On the one hand, natural fractures can significantly improve the reservoir …

This paper evaluates the impact of reduction of doublet well spacing, below the current West
Netherlands Basin standard of 1000–1500 m, on the Net Present Value (NPV) and the life …