TY - JOUR
T1 - A seamless geo-flow modelling workflow to tackle structural uncertainty using LoopStructural and MODFLOW
AU - Bardot, Kerry
AU - Grose, Lachlan
AU - Camargo, Itsuo
AU - Pirot, Guillaume
AU - Siade, Adam
AU - Pigois, Jon-Phillippe
AU - Hampton, Clive
AU - McCallum, James
PY - 2025/8
Y1 - 2025/8
N2 - Despite being one of the biggest sources of uncertainty in groundwater models, geological structural uncertainty is rarely addressed, primarily due to a lack of workflows that can generate multiple structural realisations and integrate these directly with its flow model counterpart. We present a streamlined workflow which combines LoopStructural for building complex geological models and MODFLOW 6 for flow modelling. Key features of the workflow include the use of unstructured gridding, which efficiently adapts to each structural interpretation, a full-connectivity flow formulation, and the use of structural parameters. A case study is used to demonstrate how the workflow can be used to address uncertainty in fault displacement and sub-cropping location of an aquifer. Furthermore, we demonstrate how the workflow may be used to inverse model structural parameters to tackle structural uncertainty alongside parameter uncertainty during the history matching process, negating the need for traditional Bayesian Model Averaging approaches.
AB - Despite being one of the biggest sources of uncertainty in groundwater models, geological structural uncertainty is rarely addressed, primarily due to a lack of workflows that can generate multiple structural realisations and integrate these directly with its flow model counterpart. We present a streamlined workflow which combines LoopStructural for building complex geological models and MODFLOW 6 for flow modelling. Key features of the workflow include the use of unstructured gridding, which efficiently adapts to each structural interpretation, a full-connectivity flow formulation, and the use of structural parameters. A case study is used to demonstrate how the workflow can be used to address uncertainty in fault displacement and sub-cropping location of an aquifer. Furthermore, we demonstrate how the workflow may be used to inverse model structural parameters to tackle structural uncertainty alongside parameter uncertainty during the history matching process, negating the need for traditional Bayesian Model Averaging approaches.
KW - Groundwater modelling
KW - LoopStructural
KW - MODFLOW 6
KW - Structural uncertainty
KW - Unstructured grids
UR - http://www.scopus.com/inward/record.url?scp=105007707853&partnerID=8YFLogxK
UR - http://purl.org/au-research/grants/ARC/LP180101153
U2 - 10.1016/j.envsoft.2025.106557
DO - 10.1016/j.envsoft.2025.106557
M3 - Article
AN - SCOPUS:105007707853
SN - 1364-8152
VL - 192
JO - Environmental Modelling and Software
JF - Environmental Modelling and Software
M1 - 106557
ER -