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Record W4408430898 · doi:10.5194/egusphere-egu25-14065

Development of a Robust Geological Model to Explain Creosote Flow and Transport in a Sole-Source Carbonate Aquifer 

2025· preprint· en· W4408430898 on OpenAlexaff
Zachary Walker, Beth L. Parker, Emmanuelle Arnaud, Steven Chapman, P. Pehme, Ryan Kroeker, Jonathan Kennel

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsAquiferCarbonateFlow (mathematics)GeologyEnvironmental sciencePetroleum engineeringGroundwaterHydrology (agriculture)Geotechnical engineeringChemistryMechanicsPhysics

Abstract

fetched live from OpenAlex

Fractured rock aquifers pose challenges for flow system characterization due to the complex nature of fracture networks controlling the bulk hydraulic conductivity within and across hydrologic units. The distinct depositional characteristics of mud-rich carbonate facies as well as the post-depositional alteration of material via diagenesis often result in highly anisotropic flow systems. The lithostratigraphic properties and sequence stratigraphic surfaces in sedimentary bedrock are known to affect fracture development and connectivity. The objective of our study is to build a robust geologic model to inform fracture network connectivity influencing vertical and horizontal flow of groundwater and creosote DNAPL in a shallow Silurian limestone aquifer located on the island of Gotland, Sweden. Previous consulting studies using conventional wells showed widespread presence of dissolved phase creosote constituents and occasional presence of non-aqueous phase components near and away from the historical operations area. The current research investigation aims to use recently advanced high-resolution methods to build a robust, hydraulically-calibrated geologic framework. It began with six ODEX air-rotary boreholes, drilled 30m below the top of rock around the perimeter of known contamination at the site. Four additional boreholes were cored using GeoBore-S diamond bit wireline drilling within the contaminated zone to provide continuous core for lithology and fracture feature logging. These four cores were also used to inform sample locations near and away from fractures for contaminant concentrations and rock physical properties. All 10 new boreholes were geophysically logged to inform the placement of temperature and pressure transducers in the boreholes, which were then sealed in place using flexible, impermeable fabric liners (FLUTe™) for depth-discrete dynamic hydraulic head monitoring.Lithology and fracture-feature logs were collected and confirmed the sitewide presence of limestone-marl alternations with a high propensity for laterally extensive, bedding plane fractures dipping south-southeast. Depth-discrete rock samples for VOC and PAH contaminant analyses confirmed that: 1) matrix diffusion of PAH compounds from hydraulically active fractures was limited due to low aqueous solubilities, low porosity and high sorption, 2) downward migration of creosote through vertical fractures was likely inhibited by the lack of vertical connectivity between fine-grained limestone facies imparting strong anisotropy, the near neutral density of the creosote as a NAPL and the high sorption of low solubility solutes in the organic-rich marlstone units. Downhole geophysics and core logs also confirmed that a weathered bedrock zone at the overburden-bedrock interface exists sitewide and contained the highest contaminant concentrations. This sediment-bedrock interface may serve as a preferential pathway for the lateral migration of the marginally dense creosote oil. In combination, these data provide a process-based conceptual site model that can be used to accurately model fluid flow and plume mobility, improving risk assessment and remediation efficacy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.235
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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