Evidence map›Paper›PMID 39281509›Full record

ArticleHeliyon2024

Evaluation and selection of the best artificial lift method for optimal production using PIPESIM software.

Maysam Janadeleh, Reza Ghamarpoor, Nabeel Kadhim Abbood, Seyednooroldin Hosseini, Hasan N Al-Saedi, Ali Zeinolabedini Hezave

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Maysam JanadelehDepartment of Petroleum Engineering, EOR Research Center, Omidiyeh Branch, Islamic Azad University, Box Post: 164, Omidiyeh, 63731-93719, Iran.
Reza GhamarpoorDepartment of Petroleum Engineering, Faculty of Engineering, University of Garmsar, Garmsar, Iran.
Nabeel Kadhim AbboodBasrah University for Oil and Gas, Basrah, Iraq.
Seyednooroldin HosseiniDepartment of Petroleum Engineering, EOR Research Center, Omidiyeh Branch, Islamic Azad University, Box Post: 164, Omidiyeh, 63731-93719, Iran.
Hasan N Al-SaediDepartment of Petroleum Engineering, Al-Amarah University College, Missan, Iraq.
Ali Zeinolabedini HezaveDepartment of Management, Bahonar Technical and Engineering College of Shiraz, Fars Branch, Technical and Vocational University, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A well can be produced and exploited when it has production power, in other words, if the well does not have enough pressure, it will not be able to flow. Artificial production is a method to increase the lifespan of well production. The well studied in this article has a significant annual lower pressure drop; So now with the current pressure of the existing well, it is not possible to send the oil of this well to the separator of the first stage of the exploitation unit. Among the existing solutions to maintain or increase production and increase the flow pressure of the well, is the use of artificial extraction. In this article, an attempt has been made to simulate the effect of using a core pipe, gas pumping and installing an electric submersible pump (ESP) on the production flow rate and flow pressure of the well by using the well data and the static and current pressure test. The current production data with the PIPESIM software was checked, and then the best extraction method for the studied well. Finally, the installation of an ESP was determined and selected as the best method of artificial extraction.

Indexed as

Artificial liftElectric submersible pump (ESP)Nodal analysisOil wellsPIPESIM softwareProduction optimization

Identifiers

PMID39281509
PMCPMC11401235

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.