Successfully Installing ICD Screens and Hydraulic Packers without Washpipe Using Novel Check-Valve ICDS: Case Study Offshore Canada
Bibliographic record
Abstract
Abstract Objective was to complete two ~16,000 ft MD offshore, openhole, horizontal wells with inflow control device (ICD) screens and hydraulic packers in acost-effective and risk-reduced manner. A major goal for the lower completion was to eliminate running washpipe for fluid circulation and intervention stringfor hydraulic packer setting to reduce rig time, equipment costs and operation/safety risks. A cost effective check-valve inflow control device (CV-ICD) screen solution, as described herein, was used on these two wells to achieve both of these purpose. CV-ICD consists a nozzle with a 1) ceramic ball to seal against it's throat and 2) porous aluminum plate to retain the loose ball until injection pushes it against the throat. Extensive testing was performed under target conditions to ensure a 5,000psi differential pressure rating for setting open hole hydraulic packer. Strict adherence to technical details helped transform the relatively simple concept of a ball-type, CV-ICD into a robust and reliable technology. The results of the extensive laboratory testing, as discussed herein, demonstrated: 1) HTHP functionality of the CV-ICD before/after exposure to wellbore fluids, 2) removal of the aluminum "cage" only after the ball is no longer required, and 3) acceptable flow performance of the ICDs with/without the loose ball present. Strict manufacturing and onsite QAQC procedures proved indispensable for success, especially given the challenging environment offshore. Fluid circulation through the toe valve without washpipe was achieved while running the screen in wellbore. After reaching target depth (TD), the toe valve was closed there by allowing the string to be pressured up to set the hydraulic packers. The tubing pressure was successfully increased to ~5,000 psi against CV-ICDs to set the hydraulic packers. Overall, the completions were a success as discussed in more detail herein, along with valuable lessons learned. The case studies presented herein demonstrated costs and risks associated with using a washpipe to deploy ICD screens to TD can be significantly reduced with a novel yet cost-effective CV-ICD solution. The integration of check ball with an ICD, while simple in concept, provide siginifcant value if the strict adherence to technical details, rigorous testing and diligent quality control are followed.
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".