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Record W4396703426 · doi:10.2118/219363-ms

Novel Cement Design for Water Shutoff Application in North Kuwait Heavy Oil Field.

2024· article· en· W4396703426 on OpenAlexaff
S. Pullanikkottil, Muhammad Nasir Ibrahim, S. Elghoul, D. Bosilca, Palak Gupta, E. K. Al-Hammadi, Fatma Abdulatif Al-Sairafi, A. Abdullah, Abdullah F. Alajmi, Karina Mariante Monteiro, Ahmed Taqi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsShell (Canada)
Fundersnot available
KeywordsCementPetroleum engineeringOil fieldEnvironmental scienceField (mathematics)EngineeringComputer scienceCivil engineeringMaterials scienceMetallurgy

Abstract

fetched live from OpenAlex

Abstract Kuwait Oil Company (KOC) is actively recovering hydrocarbons from Heavy-oil reservoirs located in the Northern Kuwait (NK) Fields. NK Heavy Oil (NKHO) reserves are mainly located in two major fields: Field -1 (cold well) and Field – 2 (thermal well). Currently this heavy oil field is in development phase and KOC plans to add additional wells yearly. Filed -2 is a thermal field producing with a water cut of approximately 45%. Typically, water coning is a major challenge hindering thermal recovery in a heavy oil reservoir with a bottom or boundary aquifer. This situation typically occurs when the production zone is near an aquifer or a water-bearing formation with a permeable connection, based on the ratio of horizontal to vertical permeability between the oil production zone and water formation. Coning occurs with pressure drawdown, causing water to migrate from the bottom to the wellbore. This is strictly a near-wellbore phenomenon that occurs only once the pressure forces drawing fluids toward the wellbore exceed the natural buoyancy forces that segregate gas and water from oil. Once water coning is observed, it needs to be addressed with appropriate method to restore the normal development of the reservoir. If water coning continues to expand, thermal well will reach a high water cut level within a short time. Coning is a rate- sensitive phenomenon generally associated with high production rates. Although it can be controlled by decreasing the rates of production, it is not a favorable approach because oil production is reduced and water production impacts the economic life of reservoirs and ultimate recovery. Moreover, it increases operating expenses such as pumping, water/oil separation, and equipment costs. Excess water production can induce sand production and damage down hole completion or wellbore integrity, inviting frequent well interventions or even to severe circumstances like abandoning of the well. On the other hand, produced water can causes wellbore corrosion and scaling on casing and production tubing because of polar and nonpolar ions from the aquifer. Because of the chemical complexity of the produced water, its disposal is a major environmental concern. This also increases disposal costs. Therefore, developing a proper and economical method to shut off or lower excess water has become one of the most significant concerns of the KOC in the NKHO field. Field - 2 is a relatively new emerging field with increased intervention complexity due to an increase in water cuts. Early remedial job trials using conventional thermal slurries were unsuccessful in Field – 2. This study illustrates the development and deployment of a novel cementing solution to address the challenges associated with conventional thermal cement for low pressure, low temperature, water shut off cement squeeze jobs. The slurry design and approach have good potential for vast applications in Kuwait and heavy oil fields worldwide.

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)0.000
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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.014
GPT teacher head0.205
Teacher spread0.191 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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