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Experimental study on mineral precipitation prediction and mitigation for geothermal fluids in Clarke Lake Field in British Columbia, Canada

2025· article· en· W4412724377 on OpenAlex
Kamran Hassani, Wenbo Zheng, Sudip Shrestha

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueGeothermics · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicGroundwater flow and contamination studies
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of Northern British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGeothermal gradientPrecipitationGeologyEnvironmental scienceMineralGeochemistryGeothermal energyHydrology (agriculture)Mining engineeringMeteorologyGeophysicsGeographyGeotechnical engineeringMetallurgyMaterials science

Abstract

fetched live from OpenAlex

• Primary ions in Clarke Lake Field fluids are Ca 2+ , Mg 2+ , Na + , Cl - , SO 4 2- , and HCO 3 - . • Major scaling minerals predicted in Clarke Lake Field are CaCO 3 and CaMg(CO₃)₂. • Using flowback water could introduce CaCO 3 , CaMg(CO₃)₂, and BaSO 4 scaling. • Inhibitor efficiency against scaling in formation fluids is higher than flowback water. Mineral precipitation in geothermal facilities, caused by variations in geothermal fluid temperature, pressure, and ion composition, impedes fluid flow and reduces energy utilization efficiency. This study investigates the potential mineral precipitation of geothermal fluids in the Clarke Lake Field in British Columbia, focusing on unveiling scaling phenomena and exploring the potential integration of hydraulic fracturing flowback water. The primary goal is to identify potential scale types in geothermal brines from various fluid sources (i.e. formation water and two types of flowback water) and evaluate scale mitigation using a commonly used inhibitor. Geochemical simulations using PHREEQC were performed to analyze the influence of temperature and water chemistry on the formation of precipitation. Subsequently, laboratory experiments and analyses were performed to confirm mineral precipitation and evaluate inhibitor performance, including static bottle tests, scanning electron microscopy, X-ray diffraction, and inductively coupled plasma-optical emission spectrometry. Both simulations and laboratory analysis identified dolomite (CaMg(CO₃)₂) and calcite (CaCO₃) scaling for flowback water with additional barite (BaSO₄) scaling for some water samples, while formation water showed CaCO₃ and CaMg(CO₃)₂ in the Clarke Lake Field. The study also demonstrates the efficacy of the inhibitor in mitigating scale formation by inhibiting nucleation and chelating calcium and barium ions, with an inhibition efficiency of 63.2 % for CaCO 3 in formation water and efficiencies of about 30 % for BaSO 4 and CaCO 3 in flowback water.

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.456
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 head0.005
GPT teacher head0.214
Teacher spread0.208 · 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