Probabilistic inversion of seismic data for reservoir petrophysical characterization: Review and examples
The physics that describes the seismic response of an interval of saturated porous rocks with
known petrophysical properties is relatively well understood and includes rock physics …
known petrophysical properties is relatively well understood and includes rock physics …
Applications of deep neural networks in exploration seismology: A technical survey
Exploration seismology uses reflected and refracted seismic waves, emitted from a
controlled (active) source into the ground, and recorded by an array of seismic sensors …
controlled (active) source into the ground, and recorded by an array of seismic sensors …
A reliable Bayesian neural network for the prediction of reservoir thickness with quantified uncertainty
LL Bao, JS Zhang, CX Zhang, R Guo, XL Wei… - Computers & …, 2023 - Elsevier
In seismic exploration, reservoir prediction plays a significant role since it can reveal the
characteristics of a reservoir through attribute analysis. Multi-attribute reservoir prediction …
characteristics of a reservoir through attribute analysis. Multi-attribute reservoir prediction …
Estimating geotechnical parameters using semisupervised learning: An example from the Dutch offshore wind farm zone
Wind energy is considered to be of great importance for promoting energy transition and
achieving net-zero carbon emission. Reliable modeling and monitoring of the near …
achieving net-zero carbon emission. Reliable modeling and monitoring of the near …
Seismic AVO analysis for reservoir characterization
D Kumar - Developments in Structural Geology and Tectonics, 2023 - Elsevier
Seismic amplitude variation with offset (AVO) technology has been established for
hydrocarbon reservoir characterization. AVO attributes are used for both qualitative and …
hydrocarbon reservoir characterization. AVO attributes are used for both qualitative and …
Attention mechanism‐assisted recurrent neural network for well log lithology classification
Lithology classification is a fundamental aspect of reservoir classification. Due to the limited
availability of core samples, computational modelling methods for lithology classification …
availability of core samples, computational modelling methods for lithology classification …
Using a dynamic representation of sedimentary structural features in prestack inversion: A case study in a tight sandstone in the Sichuan Basin
T Chen, Y Wang, H Cai, B Zou, G Yu, Y Li, G Hu - Geophysics, 2024 - library.seg.org
Tight sandstone gas is an important unconventional hydrocarbon resource. In the Sichuan
Basin, tight sandstone gas is generally stored in channel sandstone reservoirs. Previous …
Basin, tight sandstone gas is generally stored in channel sandstone reservoirs. Previous …
Modeling groundwater levels in California's Central Valley by hierarchical Gaussian process and neural network regression
Modeling groundwater levels continuously across California's Central Valley (CV)
hydrological system is challenging due to low‐quality well data which is sparsely and noisily …
hydrological system is challenging due to low‐quality well data which is sparsely and noisily …