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Record W4413391263 · doi:10.1115/omae2025-155790

Experimental Investigation of Well Cement Integrity in Decommissioned Oil and Gas Wells – The Effect of Water and Oil Contamination

2025· article· en· W4413391263 on OpenAlexaff
Ke Hu, Muhammad A. Thaika, Ergün Kuru, Huazhou Li, S.S. Iremonger, Gunnar DeBruijn, Zichao Lin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsContaminationPetroleum engineeringCementOil wellEnvironmental scienceFossil fuelWater contaminationPetroleumWaste managementGeologyMaterials scienceEngineeringMetallurgy

Abstract

fetched live from OpenAlex

Abstract During the cement plug placement phase of well decommissioning, the cement slurry is at risk of intermixing with the wellbore fluids, which may impact the performance and isolation capabilities of the resulting cement plug. In this study, we investigated the sealing performance of the cement plugs, which are contaminated with different wellbore fluids. Two cement blends were used: neat API class G cement and an engineered API Class G cement with additives for optimal performance. Two types of contaminants were investigated: water to mimic fluids used by decommissioning rigs and light crude oil to mimic residual produced hydrocarbons. The contaminants were added to the slurry at varying levels (12.5% and 25% v/v for water and 2.5% v/v for light crude oil). The contaminated blends were cured inside a bench-scale wellbore simulator under ambient temperature and 6.89 MPa for 7 days. The isolation performance of the contaminated plug was assessed by conducting water flow tests. For the neat API Class G cement plug, the water flow rates through the 25% water contaminated plug were an order of magnitude higher than the flow rates through the uncontaminated plug. Visual inspection of the possible flow paths by Nitrogen injection revealed that Nitrogen gas was flowing at the cement-casing interface. For the API class G cement plug with additives, water flow rates through 25% water contaminated plug were 2 to 3 orders of magnitude higher than that of the uncontaminated cement plug. Contamination with water in this blend created a different failure mode with Nitrogen flowing through the matrix of the cement. An oil contamination of 2.5% of both the neat API class G and API class G+ additives cement had little to no effect on their isolation capabilities as long as the fluid injection pressure and confining pressure are the same and kept at the level of curing condition (i.e. 6.89 MPa, no change in effective stress). When the effective stress on the cement plug is changed, (by reducing the confining pressure down to atmospheric pressure, while keeping the injection pressure constant at 6.89 MPa), sealing ability of both the original and the uncontaminated cement plugs deteriorated. The contaminated plugs lost more of their sealing capabilities when compared to the uncontaminated plug. These results indicate that the effective stress (not the oil contamination) was the main controlling factor for the deterioration of cement plug sealing performance with oil contamination only having a small effect.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.005
GPT teacher head0.210
Teacher spread0.205 · 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 designBench or experimental
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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