Corey Wallace Coauthored a Paper on Groundwater Modeling in Applied Energy
Corey Wallace, Ph.D. (Ohio), recently coauthored a paper related to groundwater and reactive transport modeling in Applied Energy.
Corey is a groundwater and geochemical scientist with ten years of research experience. His practice focuses on groundwater-surface water interactions, physical hydrology, and groundwater flow and reactive transport modeling to assess groundwater quality and evaluate remediation strategies.
The paper entitled "Application of upscaling methods for fluid flow and mass transport in multi-scale heterogeneous media: A critical review" was published in Applied Energy and provides guidelines for accurately resolving the scale dependency of fluid flow and reactive solute transport parameters. Corey's coauthors were Xiaoying Zhang, Funing Ma, Shangxian Yin, Mohamad Reza Soltanian, Zhenxue Dai, Robert Ritzi, Ziqi Ma, Chuanjun Zhan, and Xiaoshu Lu. Applied Energy provides a forum for information on innovation, research, development and demonstration in the areas of energy conversion and conservation, the optimal use of energy resources, analysis and optimization of energy processes, mitigation of environmental pollutants, and sustainable energy systems.
Physical and biogeochemical heterogeneity dramatically impacts fluid flow and reactive solute transport behaviors in geological formations across scales. From micro pores to regional reservoirs, upscaling has been proven to be a valid approach to estimate large-scale parameters by using data measured at small scales. Upscaling has considerable practical importance in oil and gas production, energy storage, carbon geologic sequestration, contamination remediation, and nuclear waste disposal. This review covers, in a comprehensive manner, the upscaling approaches available in the literature and their applications on various processes, such as advection, dispersion, matrix diffusion, sorption, and chemical reactions. We enclose newly developed approaches and distinguish two main categories of upscaling methodologies, deterministic and stochastic. Volume averaging, one of the deterministic methods, has the advantage of upscaling different kinds of parameters and wide applications by requiring only a few assumptions with improved formulations. Stochastic analytical methods have been extensively developed but have limited impacts in practice due to their requirement for global statistical assumptions. With rapid improvements in computing power, numerical solutions have become more popular for upscaling. In order to tackle complex fluid flow and transport problems, the working principles and limitations of these methods are emphasized. Still, a large gap exists between the approach algorithms and real-world applications. To bridge the gap, an integrated upscaling framework is needed to incorporate in the current upscaling algorithms, uncertainty quantification techniques, data sciences, and artificial intelligence to acquire laboratory and field-scale measurements and validate the upscaled models and parameters with multi-scale observations in future geo-energy research.
More InformationLearn more about the article: https://doi.org/10.1016/j.apenergy.2021.117603
Learn more about Corey: https://www.linkedin.com/in/corey-d-wallace/