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Record W4377223936 · doi:10.2118/214631-ms

Application of Abrasive Waterjet Technology for Large and Multi-Casing Cutting

2023· article· en· W4377223936 on OpenAlexaff
Jianwei Di, Xiangyang Zhao, Jingxiang Lv

Bibliographic record

VenueSPE/IADC Middle East Drilling Technology Conference and Exhibition · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicErosion and Abrasive Machining
Canadian institutionsPetro-Canada
Fundersnot available
KeywordsCasingAbrasiveNozzleMechanical engineeringDrillingEngineeringPetroleum engineering

Abstract

fetched live from OpenAlex

Abstract For matured offshore oil field in Abu Dhabi, lots of wells need to be permanent abandonment. According to the regulations on offshore permanent well abandonment, the wellhead shall be cut from 4 m below the mudline. The purpose of this paper is to introduce an abrasive waterjet technology to solve the challenge so that cut two or three casings around seabed which is cemented together with a high efficiency method. Traditional operations for cutting multi-casing depend on milling cement and cutting single layer, which are inefficiency and time cost. Abrasive Waterjet technique utilize high water with abrasive material to cut multi-layer casing. This method does not limited to casing layer mount and size. The abrasive waterjet system is mainly composed of speed rotation control system, hydraulic anchoring system, cutting tools, ground supporting equipment, etc. The nozzle parameters were optimized by flow field simulation, and the corresponding tools were designed. The cutting tools includes several spray nozzles and transmit high pressure abrasive to casing surface to cutting. The cutting tools 360 degree rotation powered by speed rotation control system and fixed by hydraulic anchoring system. The abrasive waterjet is placed in cutting location in inner casing. A two-caisng cementing inner casing 339.7mm and outer casing 850mm together is used as an experimental target. In order to closer simulate the actual working conditions on site, inner casing has 150mm off-center. The abrasive waterjet was inside the target to cutting. The system connects to a pump with 70MPa and 0.9-1.0m3/min flow rate. 40-60 mesh garnet is used as abrasive material. In order to simulate the cutting conditions on offshore site, the cutting tool is always submerged under the water during the test. After about 8 hours of experiments, the target cutting is successfully completed, and the cutting head and protective sleeve, hydraulic rotation speed control device and hydraulic anchoring device work smoothly, which proves that the abrasive jet cutting system has reasonable design and stable performance. The wear resistance of the nozzle during the experiment is analyzed. The nozzle does not change in the outlet diameter after 8 hours wear. Through this experimental research, it is proved that the reasonable selection of nozzle parameters and construction parameters can meet the overall cutting of eccentric multi-layer casing. This parameters can support for on-site construction parameter selection. If a traditional milling method to solve this problem, it usually takes several days. The advantages of this technology in time efficiency are proved. In addition, an offshore abandonment operation was applied by this technique which was conducted on a three-casing cemented casing. This paper will provide a novel method to solve the multi-casing cutting challenge for offshore well permanent abandonment. The abrasive jet cutting system design, tools and parameters feasibility of field application are verified. Compare to traditional method, it can greatly reduce the operation time and project cost.

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 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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.526
Threshold uncertainty score0.692

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.035
GPT teacher head0.265
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, 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

Citations3
Published2023
Admission routes1
Has abstractyes

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