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[HTML][HTML] Application of upscaling methods for fluid flow and mass transport in multi-scale heterogeneous media: A critical review
Physical and biogeochemical heterogeneity dramatically impacts fluid flow and reactive
solute transport behaviors in geological formations across scales. From micro pores to …
solute transport behaviors in geological formations across scales. From micro pores to …
An integrated experimental design framework for optimizing solute transport monitoring locations in heterogeneous sedimentary media
This study develops an integrated framework to guide the monitoring network optimization
and duration selection for solute transport in heterogeneous sand tank experiments. The …
and duration selection for solute transport in heterogeneous sand tank experiments. The …
Data‐worth analysis for heterogeneous subsurface structure identification with a stochastic deep learning framework
Reliable characterization of subsurface structures is essential for earth sciences and related
applications. Data assimilation‐based identification frameworks can reasonably estimate …
applications. Data assimilation‐based identification frameworks can reasonably estimate …
Upscaling dispersivity for conservative solute transport in naturally fractured media
Physical heterogeneities are prevalent features of fracture systems and significantly impact
transport processes in aquifers across different spatiotemporal scales. Upscaling solute …
transport processes in aquifers across different spatiotemporal scales. Upscaling solute …
CO2 Accounting and Risk Analysis for CO2 Sequestration at Enhanced Oil Recovery Sites
Using CO2 in enhanced oil recovery (CO2-EOR) is a promising technology for emissions
management because CO2-EOR can dramatically reduce sequestration costs in the …
management because CO2-EOR can dramatically reduce sequestration costs in the …
An Integrated Framework for Optimizing CO2 Sequestration and Enhanced Oil Recovery
CO2-enhanced oil recovery (CO2-EOR) is a technique for commercially producing oil from
depleted reservoirs by injecting CO2 along with water. Because a large portion of the …
depleted reservoirs by injecting CO2 along with water. Because a large portion of the …
Improved coupled Markov chain method for simulating geological uncertainty
Geological uncertainty is common in nature due to complex depositional processes as one
layer appears to be randomly embedded in neighbouring layers. However, the geo …
layer appears to be randomly embedded in neighbouring layers. However, the geo …
Stage‐wise stochastic deep learning inversion framework for subsurface sedimentary structure identification
The stochastic models and deep‐learning models are the two most commonly used
methods for subsurface sedimentary structures identification. The results from the stochastic …
methods for subsurface sedimentary structures identification. The results from the stochastic …
An integrated inversion framework for heterogeneous aquifer structure identification with single-sample generative adversarial network
Generating reasonable heterogeneous aquifer structures is essential for understanding the
physicochemical processes controlling groundwater flow and solute transport better. The …
physicochemical processes controlling groundwater flow and solute transport better. The …
Simulation of industrial-scale CO2 storage: Multi-scale heterogeneity and its impacts on storage capacity, injectivity and leakage
Heterogeneities in porosity and permeability of geological CO2 storage reservoirs and
surrounding strata have a significant influence on storage capacity, design of injection wells …
surrounding strata have a significant influence on storage capacity, design of injection wells …