Within seismology, geology, civil and structural engineering, deep learning (DL), especially
via generative adversarial networks (GANs), represents an innovative, engaging, and …

The permeability of complex porous materials is of interest to many engineering disciplines.
This quantity can be obtained via direct flow simulation, which provides the most accurate …

Seismic impedance inversion is essential to characterize hydrocarbon reservoir and detect
fluids in field of geophysics. However, it is nonlinear and ill-posed due to unknown seismic …

非常规储层油气资源丰富, 压裂是释放非常规储层油气的必要手段, 但压裂优化是一个多模态,
高维度, 大尺度, 细时空的复杂大系统问题. 为实现非常规储层压裂系统开发 …

High exploration costs resulting in sparse datasets and complicated geological structures in
deepwater depositional systems make the reservoir characterization extremely difficult. To …

Generative adversarial networks (GANs) have recently attracted attention owing to their
impressive ability in generating high-quality and novel synthetic datasets such as signals …

Sedimentary facies simulation is one of the essential works in sedimentary environment
analysis and reservoir characterization. The traditional facies simulation method is based on …

The objective of this study is to develop a hybrid model by combining physics and data-
driven approach for optimum unconventional field development. We used physics-based …

Well-log interpretation estimates in situ rock properties along well trajectory, such as
porosity, water saturation, and permeability, to support reserve-volume estimation …

Modeling the semivariogram to characterize spatial continuity requires expert geostatistical
knowledge and domain expertise about the spatial phenomenon of interest. Moreover …