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Record W2013301879 · doi:10.2118/2005-167

Coupled Flow and Heat Transfer Model for CO2 Migrating Upwards Along Vertical Leakage Paths

2005· article· en· W2013301879 on OpenAlexaffabout
Fanhua Zeng, Gang Zhao

Bibliographic record

VenueCanadian International Petroleum Conference · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicCO2 Sequestration and Geologic Interactions
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsLeakage (economics)Heat transferFlow (mathematics)GeologyMechanicsPhysics

Abstract

fetched live from OpenAlex

Abstract One of the risks associated with CO2 geological sequestration is CO2 migrating upwards from storage reservoir along vertical leakagepaths, which may be the abandoned or improperly cemented wellbores, or thereactivated faults. CO2 migrating upwards is a process generallycontrolled by formation pressure gradient and CO2 gravity, affectedby the changes of CO2 properties such as density, viscosity, enthalpy and phase state along the paths, and companied with heat transferbetween escaping CO2 and the leakage paths and heat conduction information. Considering absorbing or releasing latent heat in phase changes, this paperdeveloped models for CO2 flow and heat transfer during the leakageprocess. Then a procedure was developed to couple these models. Our studieshave shown that CO2 leakage tends to approach a steady state withinseveral years, thus it is reasonable to deal with this problem using the steadystate model generated in this study for the CO2 migrating upwards ina thousand-year long process. Sensitivity analyses of the factors affecting CO2 leakage rate, the pressure and temperature profiles along thepaths were studied. These factors are the permeability and cross-section areaof the leakage path, the pressure and temperature in the storage reservoir, andthe surface temperature. In terms of the temperature profile, CO2cooling effect caused by forming the super heated gas is dominant. It is alsodiscovered that, during the CO2 migrating upwards process, CO2 cooling effect along the paths is essentially described by thesaturation line in the CO2 P-T phase diagram. A vertical fracture pattern with a radius of 1m and a permeability of 100mD wasassumed in case studies. Within reasonable ranges of formation pressure andtemperature gradients the altered temperature profile for the interval of 300m~ 700m, where CO2 phase is close to the saturation line in P-T phasediagram, provided a clue to detect CO2 leakage. A simple linearrelationship between the CO2 leakage rate and the maximumtemperature difference between the original and the altered temperatureprofiles was obtained through regression analysis, so that the CO2leakage rate could be estimated with the temperature profile logged along thewellbore in the field practice. Introduction Disposal of CO2 into geologic formations, including depleted oil andgas reservoirs, coal beds, and saline aquifers, has been investigated as apromising means to reduce atmospheric emissions of the greenhouse gas. The Weyburn CO2 Inject Project has been implemented to enhance the oilrecovery through CO2 injection while most of the CO2injected reaches a long-term geological storage within a Mississippianreservoir in southeastern Saskatchewan, Canada. However, under certainunfavorable conditions stored CO2 can leak back into the atmospherethrough vertical leakage paths, such as the improperly abandoned/cementedwellbores and the reactivated conductive faults, thus reduces the utility ofthis technology [8]. CO2 leakage also represents a potential vitalhazard to uppergeosphere and biosphere ecological systems.

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 score0.044
Threshold uncertainty score0.087

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 studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.020
GPT teacher head0.245
Teacher spread0.224 · 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
Published2005
Admission routes2
Has abstractyes

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