MétaCan
Menu
Back to cohort
Record W2805706195

First assessment for geothermal utilization of two regionally extensive Devonian carbonate aquifers in Alberta, Canada

2018· article· en· W2805706195 on OpenAlexaboutno aff
Leandra Weydt, Claus-Dieter Heldmann, Hans G. Machel, Ingo Sass

Bibliographic record

VenueEGUGA · 2018
Typearticle
Languageen
FieldEnergy
TopicGeothermal Energy Systems and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsGeologyDevonianOutcropPetrophysicsGeothermal gradientCarbonateAquiferGeochemistryCarbonate rockFaciesSedimentary rockPetrologyStructural basinGeomorphologyGroundwaterPaleontologyPorosityGeotechnical engineering
DOInot available

Abstract

fetched live from OpenAlex

The Canadian Province of Alberta has one of the highest per capita CO2-equivalent emission of any jurisdiction in the world, predominantly due to industrial burning of coal for electricity generation and the mining operations in the oil sand deposits. To reduce CO2-emission and to approach the targets of the Paris Accord from 2015, geothermal energy should become part of the energy mix in Alberta. The Upper Devonian carbonate aquifer systems within the Alberta Basin are promising target formations for geothermalenergy.Toassesstheirgeothermalpotential,detailedknowledgeofthethermo-andpetrophysicalrock properties is needed. To furnish a preliminary assessment of the potential for geothermal utilization an outcrop analogue study on two regionally extensive Devonian aquifers, the Southesk-Cairn Carbonate Complex and the Rimbey-Meadowbrook Reef Trend, were conducted. Samples taken from outcrops were used as analogue to equivalent formations in the reservoir and correlated with core samples of the reservoir. Analogue studies enable determination and correlation of facies related rock properties to identify sedimentary, diagenetic, and structural variations, which understanding allows for a more reliable reservoir property prediction. Rock samples were taken from several outcrops of Upper Devonian carbonates in the Rocky Mountain Front Ranges. The samples were analysed for several thermo- and petrophysical properties, i.e. thermal conductivity, thermal diffusivity and heat capacity, as well as density, porosity and permeability. Thermal conductivity and permeability measurements were also performed on seven drill cores from the stratigraphically equivalent Leduc and three drill cores of the slightly younger Nisku Formation in the subsurface of the Alberta Basin. Additionally, thermal conductivity, thermal diffusivity and heat capacity were measured on about 45 plugs taken from four of theaforementionedcorewellsoftheLeducFormation.Furthermore,open-accesspetrophysicalcoredataretrieved from the AccuMap database were used for correlation. The results from both carbonate complexes indicate good reservoir conditions regarding geothermal utilization with an average reservoir porosity of about 8 %, average reservoir permeability between 10-12 and 10-14 m2, and relatively high thermal conductivities ranging from 3 to 5 W m-1 K-1. The most promising target reservoirs for hydrothermal utilisation are the completely dolomitized reef sections. The measured rock properties of the Leduc FormationinthesubsurfaceshownosignificantdifferencesbetweentheRimbey-Meadowbrookreeftrendandthe Southesk-Cairn Carbonate Complex. Differences between the dolomitized reef sections of the examined Leduc and Nisku Formation are also minor to insignificant, whereas the deeper basinal facies of the Nisku Formation differs significantly. In contrast, the outcrop analogue samples have lower porosity and permeability, likely caused by low-grade metamorphism and deformation during the Laramide Orogeny that formed the Rocky Mountains. As such, the outcrop analogues are, in this case study, no valid proxies for the buried reservoirs in the Alberta Basin. Takentogether,allavailabledatasuggeststhatdolomitizationenhancedthegeothermalproperties,butdepositional patterns and other diagenetic events, e.g. fracturing, also played an important role.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.746
Threshold uncertainty score0.465

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.265
Teacher spread0.247 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueEGUGASame topicGeothermal Energy Systems and ApplicationsFrench-language works237,207