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Record W1968929222 · doi:10.1080/00908310490448091

A Simple Correlation for Estimating Pressure Drop in Horizontal Wells

2004· article· en· W1968929222 on OpenAlexaffabout
N. Bjorndalen, M. R. Islam

Bibliographic record

VenueEnergy Sources · 2004
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPressure dropWellboreMechanicsPetroleum engineeringGeologyFluid dynamicsPhysics

Abstract

fetched live from OpenAlex

Even though it has long been recognized that pressure drop along a horizontal wellbore cannot be neglected, little has been done to estimate the pressure drop with any rigor. The existing models are derived from pipeflow equations, therefore neglecting the presence of radial fluid movement perpendicular to the direction of bulk fluid flow. Recent experimental studies indicate that such a simplistic approach provides an optimistic behavior in a horizontal wellbore. This article presents a realistic representation of the pressure drop in a horizontal wellbore. Equations are derived from rigorous experiments conducted earlier and reported in the literature. They include the effect of radial fluid movement, perforation flow, gas-oil ratio, oil viscosity, bulk flow rate, water saturation and even the presence of asphaltenes in the crude oil. Even though the equations are based on experimental results, predictions apply to field situations. This aspect is verified with certain unpublished field data from USA and Canada.

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)0.000
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.006
GPT teacher head0.226
Teacher spread0.220 · 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".

Quick stats

Citations3
Published2004
Admission routes2
Has abstractyes

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