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Record W1991056535 · doi:10.2118/02-05-tn

Moving Toward Simpler, Highly Functional Multilateral Completions

2002· article· en· W1991056535 on OpenAlexaboutno aff
Aquino Emerson, D. Westgard

Bibliographic record

VenueJournal of Canadian Petroleum Technology · 2002
Typearticle
Languageen
FieldEngineering
TopicOil and Gas Production Techniques
Canadian institutionsnot available
FundersUniversity of Texas at Austin
KeywordsSimplicityMindsetFlow (mathematics)Simple (philosophy)Completion (oil and gas wells)EngineeringComputer scienceMechanical engineeringMathematics

Abstract

fetched live from OpenAlex

Abstract This paper discusses the development, application, and operational advantages of a TAML Level 3 multilateral completion system. It combines the simplicity of lower-level systems with the extended functionality of full re-entry into both the mainbore and lateral completions of wells that do not require pressure integrity at the junction. To obtain re-entry and flow control in both wellbores of a multilateral application, the previous mindset was to add more completion equipment to handle the need for more functionality. The early well completions categorized as Level 3 multilaterals were constructed using a flow-through guidestock and slotted liner or screen in the lateral, which was anchored back to the mainbore by a liner hanger packer. Flow was allowed through the flow-through guidestock from the mainbore completion, where it became commingled with the lateral production via perforations or slots in the lateral liner overlap in the mainbore. The challenge was to provide a means for allowing mainbore reentry. With this increased functionality, Level 3 could be a viable, simple replacement for Level 4 ML's as well as the Level 1 and 2 completions. With a focus on simplicity, design iterations led to the development of a system that would be mechanically basic (no moving parts) and easy to install. To date, more than 80 Level 3 Hook Hanger junctions have been completed, with most in the Orinoco Heavy Oil Belt in Venezuela. The authors will summarize several case studies, explain decision-making parameters for selecting this type of multilateral completion system, and discuss its application in Canadian oil and gas operations. Introduction To obtain reentry and flow control in both wellbores of a multilateral application, the mindset has been to add more completion equipment for more functionality. In an effort to make multilateral risks more acceptable, Baker Oil Tools began to develop multilateral completion systems that were simpler and less risky to install. Even though there are six multilateral categories, most multilateral applications fall into two simple groups:wells that require pressure integrity at the junction, andwells that do not require pressure integrity at the junction. For maximum functionality in both groups, the focus is on developing Level 3 (pressure integrity not required) and Level 6 (pressure integrity required) multilateral systems that address a wide variety of multilateral well applications. TAML Classifications In an effort to provide parity when comparing multilateral systems industry wide, a classification system was developed by TAML (Technology Advancement for Multilaterals), a consortium group comprised of operators and service companies. The classification system divides wells into "levels" depending upon junction functionality. Figure 1 illustrates the TAML's level definitions(1). Based on these definitions, only Levels 5 and 6 provide pressure integrity at the junction. However, Level 5 requires a complex configuration of isolation packers to isolate the junction to provide pressure integrity, coupled with a high risk junction construction process. Level 6 multilateral completions, in contrast, are much simpler in design and implementation.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.013
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.005

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 head0.020
GPT teacher head0.192
Teacher spread0.172 · 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 designNot applicable
Domainnot available
GenreMethods

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".

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Citations0
Published2002
Admission routes1
Has abstractyes

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