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Record W4415436664 · doi:10.1016/j.geoen.2025.214261

CO2-Plume Geothermal (CPG) after enhanced oil recovery (EOR)

2025· article· en· W4415436664 on OpenAlexfundno aff
R. Farajzadeh, Maren Brehme, W. R. Rossen, Martin O. Saar

Bibliographic record

VenueGeoenergy Science and Engineering · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicCO2 Sequestration and Geologic Interactions
Canadian institutionsnot available
FundersEidgenössische Technische Hochschule ZürichWerner Siemens-StiftungEnergi SimulationMinistry of Education
KeywordsEnhanced oil recoveryGeothermal gradientEnergy recoveryGeothermal energyThermal energyElectricity generationFossil fuelOil productionPlumeProduction (economics)

Abstract

fetched live from OpenAlex

The global energy transition requires novel carbon utilization methods to enable integrated and optimized low-carbon energy production. Coupling CO 2 -based geothermal energy extraction with CO 2 -enhanced oil recovery (EOR) represents a promising yet largely unexplored approach for improving resource efficiency and carbon sequestration. This study investigates the integration of CO 2 -Plume Geothermal (CPG) energy production with CO 2 -EOR in mature oil reservoirs using numerical simulations of conceptual heterogeneous reservoir models. The interplay between EOR and CPG performance in terms of energy production and CO 2 storage is evaluated and compared to understand the geotechnical implications of this integration. The analysis highlights that initiating CPG operations after EOR significantly benefits from the established CO 2 plume, facilitating immediate and efficient geothermal energy extraction. Results show that integrating CPG with EOR increases total energy recovery by 20%–50% relative to the energy produced by EOR alone, yielding CPG thermal power outputs ranging from 13 to 23 MW th /km 2 . Continued CO 2 injection during CPG operations further increases total CO 2 storage by 80%–280%, driven primarily by improved volumetric sweep of previously unswept reservoir volumes and enhanced CO 2 density resulting from reservoir cooling. While reservoir heterogeneity strongly influences oil recovery during EOR, its effect on CPG thermal output is less pronounced, since native reservoir fluids (oil and brine) have already been largely displaced during the EOR stage, and the CO 2 plume gradually stabilizes over time. These findings demonstrate the viability and advantages of integrated CO 2 -EOR and CPG systems, offering insights into novel methods essential for sustainable subsurface resource management and climate-change mitigation. • Coupling CO 2 -EOR with CPG yields noticeably higher total energy production compared to EOR alone. • Ongoing CO 2 injection during CPG significantly increases storage capacity, aided by cooling-induced density increase. • Reservoir heterogeneity strongly influences oil recovery in EOR but has a more modest effect on CPG thermal output. • This hybrid approach offers a pathway to large-scale CCUS by repurposing mature oil fields for geothermal power and enhanced geologic CO 2 storage.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.416
Threshold uncertainty score1.000

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)0.0010.000

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 head0.003
GPT teacher head0.188
Teacher spread0.185 · 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.

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

Citations2
Published2025
Admission routes1
Has abstractyes

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