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Record W4408954996 · doi:10.1016/j.pes.2025.100068

Influence of permeability and strength of bentonite-based and low-carbon-based grouts on long-term wellbore integrity and sealing

2025· article· en· W4408954996 on OpenAlex
Felix Oppong, Md Maruf Hasan, Oladoyin Kolawole, Matthew P. Adams

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.

Bibliographic record

VenueProgress in Engineering Science · 2025
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsGeomechanica (Canada)
FundersNew Jersey Department of Environmental Protection
KeywordsWellboreBentonitePermeability (electromagnetism)Geotechnical engineeringTerm (time)Petroleum engineeringMaterials scienceGeologyChemistry

Abstract

fetched live from OpenAlex

Wellbores are used to provide underground access for fluid injection, extraction, and storage. The long-term exposure of wellbores to in-situ conditions can potentially weaken their mechanical integrity and result in geo-hazards. Also, it is important to achieve adequate wellbore sealing to prevent the inter-annular communication of fluids and subsequent underground leakages. Hence, cement-based grouts (e.g., portland limestone cement) and bentonite are critical to underground construction and wellbore installations. Bentonite has been reported to have sealing potential in underground engineering infrastructure due to its inherent swelling property to fill porous zones within a rock-wellbore interface. However, the integrity and resilience of these cement-based grouts in wellbore sealing and plugging under in-situ stresses and their ability to provide sufficient zonal isolation in the long term are unknown. In this study, we investigated the hydraulic (permeability) and mechanical (uniaxial compressive strength, UCS ) properties of low-carbon-based and bentonite-based grouts under in-situ stress conditions, and further assessed their long-term integrity based on plugging and sealing performances. To address these, we considered four (4) cement-based grouts with or without bentonite in their mixture (Type 1, T1; Type 1 L, T1L; Type 1 + bentonite, T1B; and Type 1 L + bentonite, T1LB). Next, we conducted permeability and uniaxial compression tests on grout specimens. The results indicate that for wellbore integrity, cement grout containing bentonite may provide the highest percentage decrease in permeability (-85 % to −95 %) and the highest percentage increase in UCS (+116 % to +130 %) relative to the cement grouts without bentonite. However, assessment of these cement grouts indicated that T1 (with the second lowest permeability and second highest UCS ) can provide the best seal and wellbore reinforcement. Further, with optimum mixture designs, cement-based grouts can provide an effective seal and ensure long-term wellbore integrity if the water-to-cement ratio is reduced. The findings from this study will contribute to the state of knowledge in underground engineering for more efficient sealing of the wellbore annulus, thereby supporting the long-term durability of deep underground infrastructure and geosystems.

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.820

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.234
Teacher spread0.229 · 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