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Record W4414602626 · doi:10.2118/226854-ms

Case Study: Controlling Injection in Horizontal Waterflood Wells Utilizing a Novel Inflow Control Devices: Challenge, Application, and Lessons Learned

2025· article· en· W4414602626 on OpenAlexaff
Mahmoud Abd El-Fattah, Mugdad Bo Hulaiqa, Dana Roney, Craig Skeates

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicOil and Gas Production Techniques
Canadian institutionsCenovus Energy (Canada)Prairie Bible Institute
Fundersnot available
KeywordsInflowOutflowPressure dropNozzleFlow (mathematics)Fluid dynamicsCompletion (oil and gas wells)Flow conditionsVolumetric flow rate

Abstract

fetched live from OpenAlex

Abstract This paper examines the implementation of Inflow Control Devices (ICDs) that have been used in horizontal water injection wells to balance outflow injected fluid performance along the lateral which Improves sweep efficiency and reduces the risk of early injected fluid breakthrough in producer wells. As erosion and plugging issues may accrue when fluids injected with high velocity and pressure drop across standard nozzle Inflow Control, a novel design featuring enhanced flow areas, the novel ICD, that provides a higher flow area which allows gradual pressure drop across ICD with much lower fluid velocity reducing the erosion/plugging risk. The novel design of ICD Cassette utilizes advanced geometry to achieve desired flow restrictions that are equivalent to the conventional nozzle-based ICD. The novel ICD Cassette has four times the open flow area compared with equivalent nozzle-based ICDs, which leads to lower fluids velocities through the device, reducing erosion, and making the design less susceptible to plugging. In addition, the gradual pressure change through the novel ICD Cassette helps to reduce scaling tendency in the device, and therefore minimizing the number of cleanout intervention operations required throughout the well lifecycle. Design optimization for ICD completion involved compartmentalization using open hole logs for two wells considering targeted injection rates. Each injection compartment was equipped with adjustable flow control devices and isolated with packers to ensure injected fluid goes into desired zones. The ICD joint was equipped with sliding sleeves to enable operators to modify injection profiles or isolate compartments as needed, and by that adding flexibility to operations. As the operation commenced in heavy oil reservoir with a high variety of permeability, the effectiveness of the novel ICD in achieving balanced injection distribution across multiple compartments was demonstrated. With the challenge of uncertainty in permeability profile and fluid saturation of would affect injection performance, utilizing equal choking strength cassettes allowed for decent distribution across injection compartments. Operator can modify compartment injection flow area since novel ICD joints are equipped with sliding sleeve or future complete shutoff of any intervals that prematurely breakthrough to producer wells. Injectivity test was performed after each sleeve was opened to confirm flow and to set a baseline to identify any future plugging of the flow control devices. During producing stage, unexpected variations in oil viscosity, measuring between 400 to 1,000 cP, and along with varying oil saturations profiles, quality, caused inaccurate model pressure predictions. Despite these challenges, injectivity confirmed the operational integrity of the devices, allowing for compartmental specific flow adjustments and if necessary, isolating the underperforming zones. Lessons learned from this deployment, for future wells installations and introducing a new design philosophy, Include the need for enhanced reservoir characterization using advanced logging techniques to refine the permeability profiles. This can also be performed by collecting samples to ensure accurate fluid properties and saturation. In future designs, using variable compartment injection flow area instead of uniform injection flow area distribution especially with enhancing used data for design optimization would ensure better alignment between operational outcomes and design expectations. The paper is showcasing the advancements in water injection technology, by implementing the novel ICD design that mitigates the challenges erosion and plugging while offering improved scalability that is considered as a step changer in operational efficiency and reservoir management. This approach supports more sustainable waterflood operations by reducing maintenance and intervention needs while providing beneficial insights for optimizing future installations.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.023
GPT teacher head0.280
Teacher spread0.256 · 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 designCase report
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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