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Record W4402668704 · doi:10.2118/221064-ms

A Sustainable Path Forward: Delivering Canada’s Longest Montney Lateral

2024· article· en· W4402668704 on OpenAlexaffabout
I. Garda

Bibliographic record

VenueSPE Annual Technical Conference and Exhibition · 2024
Typearticle
Languageen
FieldMedicine
TopicAortic Disease and Treatment Approaches
Canadian institutionsHaliburton Forest & Wild Life Reserve
Fundersnot available
KeywordsPath (computing)Computer scienceGeologyComputer network

Abstract

fetched live from OpenAlex

In pursuit of the reduction of environmental impact and increased cost effectiveness, drilling operations in the Western Canadian Sedimentary Basin (WCSB) face the unique challenge of increasing total drainage out of each surface location while reducing land impact. A major unconventional oil and gas operator and a directional drilling service provider have partnered to consistently extend lateral section lengths over 5 km and to drill the longest lateral in Canada’s Montney Play to date. The major E&P company and the service provider had delivered the first 5 successful wells with aRotary Steerable System (RSS) in 2022, having drilled the operator’s longest and fastest Montney well to date, comprised of 4734m. To consistently cross the 5km mark in the 2023 drilling campaign, both companies worked together in vibration mitigation techniques, tool ruggedness, bit selection, drillstring optimization, mud properties and utilization of vibration mitigation tools, both axial and torsional. A data-based, engineered, well-by-well strategy was customized for each of the 4 distinctive targets within the Montney formation, based on previous and current campaign findings. Through the analysis of previous 2022 drilling campaign and development of the 2023 campaign, twomain vibration mechanisms are identified as performance limiters and affecting reliability. The ability of the RSS to measure real-time High Frequency Torsional Oscillation (HFTO), one of the most damaging mechanisms in modern drilling,is utilized to reduce risk of tool damage in hard formations as the Montney. Furthermore, the analysis of high frequency vibration data is utilized to challenge the effectiveness of different types of vibration mitigation tools. The impact of mud properties in bit cutting structure,weight transfer and RSS functionality are evaluated in real time with Pressure While Drilling sensors. The article describes the use of this data to modify tool configuration, BHA, and vibration mitigation tool selection. This led to the achievement of the longest lateral section in all Canada’s Montney Play with 5287 meters, along with the longest RSS run in the Montney and the longest global run for this 4.75" RSS with 5125m. In addition to the increase in reach, performance has allowed to reduce cost per meter drilled by 12%. Ability to measure HFTO in real time increases awareness against damaging vibration within modern drilling applications. Furthermore, high-frequency 3-axial recorded vibration data allows for re-evaluation of the effects that vibration mitigation tools have in the BHA under specific circumstances. The paper confirms the feasibility of extended lateral length benchmarks in the Montney, not achievable years ago due to tool reliability impacting overall project costs. Consistently delivering laterals over 5,000m aids the sustainability of Oil&Gas development projects in culturally sensitive areas where surface location construction and access is under increased restriction.

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)0.002
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: Other · Consensus signal: none
Teacher disagreement score0.055
Threshold uncertainty score0.146

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.002

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 head0.014
GPT teacher head0.251
Teacher spread0.237 · 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
GenreOther

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

Citations1
Published2024
Admission routes2
Has abstractyes

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