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Drilling Optimization for Ultra-long Slim Hole Horizontal Wells in Duvernay Shale project, Canada

2024· article· en· W4404263700 on OpenAlexaffabout
Haige Wang, Longlian Cui, Xiangguo Zhao, Shupin Zhang

Bibliographic record

VenueJournal of Physics Conference Series · 2024
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsPetro-Canada
Fundersnot available
KeywordsGeologyPetroleum engineeringDrillingDirectional drillingOil shaleMining engineeringEngineeringPaleontologyMechanical engineering

Abstract

fetched live from OpenAlex

Abstract Objective/Scope(30-75): Drilling contractors have always strived to pursue higher single well production and lower well-construction cost in order to achieve higher return on investment. Efforts have been made in recent years to break technological barriers to create ultra-long(>3500m) slim hole horizontal wells in Duvernay shale project. However, there were many challenges while extending the 6.75-in. slim hole laterals, such as 1) difficulty in weight transfer regarding motor slide drilling, 2) high down-hole friction torque and high ECD, 3) short servicing life and low efficiency of MWD, 4) inability to tracking thin substrata with limited logging tool, 5) production casing deployment challenges including stuck pipe risk and long running time. To overcome these obstacles, systematic solutions were proposed for unconventional ultra-long horizontal wells. Methods, Steps, and Process(75-100) : This paper proposes an integral drilling program to enhance overall drilling performance of ultra-long horizontal wells. First, Slim hole design to reduce well-construction cost through a reduction in steel, cement and fluid costs. Second, the upper drilling string upgraded from 4-in. drill pipes to 4.5-in. drill pipe with an advanced reduced OD premium connections, while Bottom Hole Assembly (BHA) employed even-wall stator PDM and Motorized RSS to improve drilling efficiency; Third, the OBM system is optimized for strong stability, lower friction, and clay-free invert emulsion to ensure safety drilling of longer laterals. Additionally, the MPD is equipped to maintain a lower ECD with minimal downhole losses; Then, a near-bit vibration sensor integrated into the RSS was deployed to provide real-time assessment of the severity of downhole shock and vibration. Reasonable drilling parameters were adjusted to reduce or eliminate downhole vibration and mitigate motor and MWD failure. Next, Azimuthal Gammy Ray was adopted and incorporated with dynamic drilling parameters data in real-time to optimize wellbore placement. More than 25 downhole drilling parameters were transmitted through high speed dual-telemetry MWD(xBolt) tool, boosting data transmission speeds and accuracy of wellbore placement in such a narrow stratigraphic window. Finally, a well-proven, external-grip mechanical casing running tool (CRT) was implemented specifically for smaller diameter 5.5-in. casing and a robust two-step wedge thread casing connection was designed to provide premium over torque capacity to manage longer lateral. Results, Understanding and Conclusions (100-200): Through continuous optimization and improvement, several major milestones and records were achieved such as longest 6.75-in. slim hole section (4875m) with one bit run and Bottom Hole Assembly, longest single run 5.5-in. & 4.5-in. hybrid casing in Duvernay at 8157m utilizing CRT tool at the time, a recorded 19.2 days drilling performance from spud to TD was achieved without any accidents or incidents. More than 6 horizontal wells lateral length exceeds 4,000m, with an average horizontal ROP above 50m/h. Single well EUR increasing from 131,000 tons to 190,000 tons, much of this improvement was due to the use of longer Hz laterals drilling technologies. Innovation points, technological contributions, and Significance (30-75): The drilling technologies developed in Duvernay have significantly reduced costs per meter and improved efficiency, setting a new lateral record in the Western Canadian Sedimentary Basin. These advancements offer practical and effective references for horizontal wells in other regions, especially for unconventional gas/oil reservoir.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.726
Threshold uncertainty score0.545

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.205
Teacher spread0.194 · 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 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".

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Citations0
Published2024
Admission routes2
Has abstractyes

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