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Record W2319091946 · doi:10.2118/cim-01-04-ms

Horizontal Well Accuracy and its Effect on Infill Drilling in the Winter Area

2001· article· en· W2319091946 on OpenAlexaffabout
Bill Cameron, Chris Baldwin, K.A. Miller, Lane Becker

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsNexen (Canada)
Fundersnot available
KeywordsInfillDrillingMetreGeologyDirectional drillingWater wellWell drillingPetroleum engineeringGeotechnical engineeringEngineeringGroundwaterStructural engineeringMechanical engineering

Abstract

fetched live from OpenAlex

ABSTRACT The Winter pool in Saskatchewan has been developed using horizontal wells 800 to 1400 meters long at 75 meter nominal spacing. The horizontal sections are located near the top of the reservoir to maximize the area swept by the coning behavior of the bottom water. Section 31-42-25 W3M is now being infill drilled to 37.5 meter spacing in an attempt to increase reservoir drainage. The heels of the infill wells are being placed between the toes of the original wells to avoid expected greater oil depletion and water coning at the heels of the original wells. Several initial infill wells encountered lost circulation and/or magnetic interference from offsetting original wells, indicating the locations of the original wells obtained from MWD data were not accurate. For subsequent infill wells gyros were run in the original offsetting wells to verify trajectories. The gyro-based well locations disagreed with the MWD-based well locations. This prompted an examination of existing drilling, Gyro, MWD, and magnetic North positioning data and technology. This paper will discuss the theoretical and practical aspects of (1) establishing the locations of existing horizontal wells, and (2) placing infill horizontal wells in optimum locations between the existing wells in the Winter pool.

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 score0.030
Threshold uncertainty score0.302

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 head0.018
GPT teacher head0.273
Teacher spread0.254 · 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

Citations2
Published2001
Admission routes2
Has abstractyes

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