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Record W1982402707 · doi:10.2118/170744-ms

Simultaneous Operations in Multi-Well Pad: a Cost Effective way of Drilling Multi Wells Pad and Deliver 8 Fracs a Day

2014· article· en· W1982402707 on OpenAlexaboutno aff
Victor Ogoke, Luke Schauerte, G. Bouchard, S. C. Inglehart

Bibliographic record

VenueSPE Annual Technical Conference and Exhibition · 2014
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsPetroleum engineeringDrillDrillingLost circulationWellboreTight gasHydraulic fracturingDirectional drillingWell drillingOil shaleCompletion (oil and gas wells)Mining engineeringGeologyEnvironmental scienceEngineeringDrilling fluidWaste managementMechanical engineering

Abstract

fetched live from OpenAlex

Abstract Unconventional gas or tight shale-oil plays require a high density of wells and multistage hydraulic fracturing to economically develop. This leads to the use of high density well pads to reduce land costs, associated environmental impact and well delivery efficiency through batch drilling. A pad in Shell's North American assets of Groundbirch and Fox Creek (Canada), Appalachia, Permian and Eagleford (USA) can comprise of two opposing rows of 13 - 20 horizontal wells spaced three to six meters apart. Considering it takes an average of 14 days to drill a 5,000m well and a subsequent nine days to complete the multistage hydraulic fracturing sequence, a typical 26 well pad in the Grounbirch asset would take approximately two years from spud to first gas. Simultaneous Operations (SIMOPS) is defined as when two or more mutually exclusive activities take place within 50m of a wellbore, or each other. The activities are classified as critical and have to be carefully planned to ensure the safety of all personnel involved and comply with regulatory spacing stipulations. This paper aims to illustrate how Shell Canada implemented SIMOPS; further highlighting how rig operations were successfully co-ordinated during a restrictive weather period (melting snow and associated road bans) and how simultaneous completion operations were utilized to achieve eight hydraulic fracturing jobs, or ‘fracs’, a day, averaging 6.2 fracs/day over 13 wells.

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: none
Teacher disagreement score0.512
Threshold uncertainty score0.721

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 head0.011
GPT teacher head0.235
Teacher spread0.224 · 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

Citations27
Published2014
Admission routes1
Has abstractyes

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