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Record W3012035649 · doi:10.2118/199802-ms

A Success Story: Utilizing Different Variables in Design and Execution of Coiled Tubing Extended Reach Milling Operations

2020· article· en· W3012035649 on OpenAlexaffabout
Kaveh Yekta, Benjamin Stang, Scott Hilling, Chris Schwartz, Bettina Cheung, Kevin J. Elliott, Cedric D. Williams

Bibliographic record

VenueSPE/ICoTA Well Intervention Conference and Exhibition · 2020
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsShell (Canada)
Fundersnot available
KeywordsCoiled tubingEngineeringAsset (computer security)Petroleum engineeringMechanical engineeringString (physics)Computer science

Abstract

fetched live from OpenAlex

Abstract The Shell Canada Fox Creek asset is located in West Central Alberta and has development activities focused on the Duvernay reservoir. Efficient, horizontal, plug and perf wells, are key to delivering economic production from this unconventional light tight oil play. Unlocking more acreage per well, through the application of longer laterals, contribute significantly to CAPEX reduction. Although intervention-less completions are a future aspiration, well intervention is still required for plug removal to assure stimulated intervals are able to flow unimpeded. A number of initiatives were actioned collaboratively across service providers and well delivery teams, to support well intervention to the limits of Coiled Tubing (CT) milling operations on the FC734 D well. Considering the length of this well (7349mMD), a new string design was required to achieve the maximum depth as well as to provide the required WOB for milling operations. Horizontal wells with long laterals, such as in this case, require heavy wall tubing in the vertical section to beyond the heel into the lateral. Using a special custom-designed transition section in the Coiled Tubing string enabled the CT to reach the maximum depth. Utilizing fluid rheology application provided a means to keep track of Reynold's number in a real-time fashion to ensure turbulent flow regime downhole, and in turn, to optimize solid transport as well as chemical consumptions. The application of fluid rheology resulted in wiperless milling operation in the extended reach applications. The flagship unit in the fleet was utilized in this operation. Generation four of the CT unit was designed in such a way that it can carry up to 8,345m of 60.3mm(2-3/8in) CT pipe. There were different technological advancements, industry-leading features, and custom engineering used in the design of this unit. Such features include customized PLC automation, user-friendly remote operation, advanced informative human-machine interface displays, and real-time data acquisition and data storage from vast arrays of operational sensors. There is a twofold impact on the field development plan when the total measured depth (MD) was increased. First, this enables the operator to increase step out/generate drilling optimized trajectories without sacrificing lateral length. Second, the 400m/well increase in MD when applied principally to the lateral length netted an average increase of 250m/lateral in the subject area and reduced the well count by 4% (pad count reduction of 10%). The synergy impact of utilizing several variables resulted in successful operations. Those variables are field development plan (well design), custom string design (CT reach), real-time fluid rheology (solid transport), and the application of an advanced CT unit (equipment advancement). The successful delivery of the FC734 D well demonstrated the value of collaborative design and best practice sharing and has extended the technical design limit of well lengths across Shell Unconventional.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.473
Threshold uncertainty score0.794

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.029
GPT teacher head0.234
Teacher spread0.205 · 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 designSimulation or modeling
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

Citations6
Published2020
Admission routes2
Has abstractyes

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