A nearest neighbor multiple-point statistics method for fast geological modeling
C Zuo, Z Pan, Z Yin, C Guo - Computers & Geosciences, 2022 - Elsevier
Multiple-point statistics (MPS) is a powerful method to generate realistic geological models.
Given a training image as a prior model, the program iteratively reproduces spatial patterns …
Given a training image as a prior model, the program iteratively reproduces spatial patterns …
Mapping high-resolution basal topography of West Antarctica from radar data using non-stationary multiple-point geostatistics (MPS-BedMappingV1)
The subglacial bed topography is critical for modelling the evolution of Thwaites Glacier in
the Amundsen Sea Embayment (ASE), where rapid ice loss threatens the stability of the …
the Amundsen Sea Embayment (ASE), where rapid ice loss threatens the stability of the …
Multiple point geostatistical simulation with adaptive filter derived from neural network for sedimentary facies classification
F Han, H Zhang, J Rui, K Wei, D Zhang… - Marine and Petroleum …, 2020 - Elsevier
Sedimentary facies distribution is a vital reference for oil and gas exploration in an offshore
area. One of remaining questions in a marine exploration area is to acquire an accurate …
area. One of remaining questions in a marine exploration area is to acquire an accurate …
Remote sensing of laboratory rivers
AS Leenman, BC Eaton - Earth Surface Processes and …, 2024 - Wiley Online Library
Remote sensing enables us to measure fluvial systems without disrupting their dynamics.
Small‐scale physical models of rivers allow us to observe their geomorphic evolution, but …
Small‐scale physical models of rivers allow us to observe their geomorphic evolution, but …
A graph-theoretic Monte Carlo framework for comparing delta surface dynamics and subsurface structure in numerical models and physical experiments
As climate changes and populations grow, a deeper understanding of deltaic surface and
subsurface processes will help design sustainable management practices of delta …
subsurface processes will help design sustainable management practices of delta …
Stochastic Reconstruction of 3D Heterogeneous Microstructure Using a Column-Oriented Multiple-Point Statistics Program
C Zuo, C Guo, S Dong, L Yang, H Zhang - Lithosphere, 2024 - pubs.geoscienceworld.org
Abstract Three-dimensional (3D) microstructure reconstruction is a key approach to
exploring the relationship between pore characteristics and physical properties. Viewing the …
exploring the relationship between pore characteristics and physical properties. Viewing the …
A Pattern Classification Distribution Method for Geostatistical Modeling Evaluation and Uncertainty Quantification
C Zuo, Z Li, Z Dai, X Wang, Y Wang - Remote Sensing, 2023 - mdpi.com
Geological models are essential components in various applications. To generate reliable
realizations, the geostatistical method focuses on reproducing spatial structures from …
realizations, the geostatistical method focuses on reproducing spatial structures from …
Aquitard Structure Plays Important Role in Leakage: Evidence from Knn Method
Z Du, Y Liu, Y Dong, Y Chen, Y Zhai - 2024 - preprints.org
Leakage is important in groundwater cycle research and water resource management, the
key is to construct the spatial distribution of aquitard. Influenced by natural and …
key is to construct the spatial distribution of aquitard. Influenced by natural and …
[图书][B] A Measure-Theoretic Approach to Bayesian Hypothesis Testing and Inversion with Geophysical Data
AM Miltenberger - 2022 - search.proquest.com
In this work we will draw heavily on Karl Popper's view of science, where science advances
our knowledge of the physical world by formulating hypotheses and testing against real …
our knowledge of the physical world by formulating hypotheses and testing against real …