Multiscale Computation: Needs and Opportunities for BER Science

Scheibe, Timothy D.; Smith, Jeremy C.

doi:10.2172/1178862

Cited by 4 publications

(1 citation statement)

References 40 publications

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“…Although theoretical upscaling frameworks such as volume averaging exist (Whitaker, 1999;Wood and Whitaker, 1998), these approaches fall short when dealing with complex biogeochemical systems that have a large number of species and highly nonlinear reaction thermodynamics and kinetics. A range of multi-scale hybrid modeling approaches have been reviewed and analyzed recently Scheibe and Smith, 2015). Simple averaging however is not possible due to the high nonlinearity and complex process coupling.…”

Section: Looking Forwardmentioning

confidence: 99%

Expanding the role of reactive transport models in critical zone processes

Maher

Navarre‐Sitchler

et al. 2017

Earth-Science Reviews

239

161

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Models test our understanding of processes and can reach beyond the spatial and temporal scales of measurements. Multi-component Reactive Transport Models (RTMs), initially developed more than three decades ago, have been used extensively to explore the interactions of geothermal, hydrologic, geochemical, and geobiological processes in subsurface systems. Driven by extensive data sets now available from intensive measurements efforts, there is a pressing need to couple RTMs with other community models to explore non-linear interactions among the atmosphere, hydrosphere, biosphere, and geosphere. Here we briefly review the history of RTM development, summarize the current state of RTM approaches, and identify new research directions, opportunities, and infrastructure needs to broaden the use of RTMs. In particular, we envision the expanded use of RTMs in advancing process understanding in the Critical Zone, the veneer of the Earth that extends from the top of vegetation to the bottom of groundwater. We argue that, although parsimonious models are essential at larger scales, process-based models are the only way to explore the highly nonlinear coupling that characterizes natural systems. We present seven testable hypotheses that emphasize the unique capabilities of process-based RTMs for (1) elucidating chemical weathering and its physical and biogeochemical drivers; (2) understanding the interactions among roots, microorganisms , carbon, water, and minerals in the rhizosphere; (3) assessing the effects of heterogeneity across spatial and temporal scales; and (4) integrating the vast quantity of novel data, including-omics‖ data (genomics, transcriptomics, proteomics, metabolomics), elemental concentration and speciation data, and isotope data into our understanding of complex earth systems. With strong support from data-driven sciences, we are now in an exciting era where integration of RTM framework into other community models will facilitate process understanding across disciplines and across scales.

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Section: Looking Forwardmentioning

confidence: 99%

Expanding the role of reactive transport models in critical zone processes

Maher

Navarre‐Sitchler

et al. 2017

Earth-Science Reviews

239

161

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Taming the tyranny of scales: models and scale in the geosciences

Bokulich

2021

Synthese

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Aspects of Multiscale Flow Simulation with Potential to Enhance Reservoir Engineering Practice

Khataniar

Dias

2021

Day 1 Tue, October 26, 2021

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A new implementation of a multiscale sequential fully implicit (MS SFI) reservoir simulation method is applied to a set of reservoir engineering problems to understand its utility. An assessment is made to highlight areas where the approach brings substantial advantage in performance as well as address problems not successfully resolved by existing methods. This work makes use of the first ever implementation of the multiscale sequential fully implicit method in a commercial reservoir simulator. The key features of the method and implementation are briefly discussed. The learnings gained during field testing and commercialization on about forty real world models is illustrated through simpler, but representative data sets, available in the public domain. The workhorse robust fully implicit (FI) method is used as a reference for benchmarking. The MS SFI method can faithfully reproduce FI results for black oil problems. We conclude that the MS SFI method has the capability to support reservoir engineering decision making especially in the areas of subsurface uncertainty quantification, representative model selection, model calibration and optimization. The MS SFI method shows immense potential for handling prominent levels of reservoir heterogeneity. The challenge of including fine-scale heterogeneity, which is often overlooked, when scaling up EOR processes from laboratory to field, appears to have found a practical solution with a combination of MS SFI and high-performance computing (HPC).

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Multiscale Computation: Needs and Opportunities for BER Science

Cited by 4 publications

References 40 publications

Expanding the role of reactive transport models in critical zone processes

Expanding the role of reactive transport models in critical zone processes

Taming the tyranny of scales: models and scale in the geosciences

Aspects of Multiscale Flow Simulation with Potential to Enhance Reservoir Engineering Practice

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