7 citations · 10 across the 6 of their papers we have counts for
6 papers
Comparison of Uncertainty of Two Precipitation Prediction Models
Stephen Shield, Zhenxue Dai
Meteorological inputs are an important part of subsurface flow and transport modeling. The choice of source for meteorological data used as inputs has significant impacts on the re…
Statistic inversion of multi-zone transition probability models for aquifer characterization in alluvial fans
Lin Zhu, Zhenxue Dai, Huili Gong +2
Understanding the heterogeneity arising from the complex architecture of sedimentary sequences in alluvial fans is challenging. This paper develops a statistical inverse framework…
An integrated assessment of the impact of precipitation and groundwater on vegetation growth in arid and semiarid areas
Lin Zhu, Huili Gong, Zhenxue Dai +2
Increased demand for water resources together with the influence of climate change has degraded water conditions which support vegetation in many parts of the world, especially in…
A note on upscaling retardation factor in hierarchical porous media with multimodal reactive mineral facies
Mohamad Reza Soltanian, Robert Ritzi, Chaocheng Huang +2
We present a model for upscaling the time-dependent effective retardation factor in hierarchical porous media with multimodal reactive mineral facies. The model extends the approac…
Reactive solute transport in physically and chemically heterogeneous porous media with multimodal reactive mineral facies: The Lagrangian approach
Mohamad Reza Soltanian, Robert Ritzi, Zhenxue Dai +1
Physical and chemical heterogeneities have a large impact on reactive transport in porous media. Examples of heterogeneous attributes affecting reactive mass transport are the hydr…
Uncertainty quantification for CO2 sequestration and enhanced oil recovery
Zhenxue Dai, Hari Viswanathan, Julianna Fessenden-Rahn +7
This study develops a statistical method to perform uncertainty quantification for understanding CO2 storage potential within an enhanced oil recovery (EOR) environment at the Farn…