Evidence map›Paper›PMID 37957215›Full record

ArticleScientific reports2023

Encapsulating commercial accelerometers with epoxy and fluoroelastomer for harsh hydrocarbon fluid environment.

Sahil P Wankhede, Xian Du, Keith W Brashler, Mohammad M Ba'adani, Doru C Turcan, Ali H Shehri, Kamal Youcef-Toumi

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Sahil P WankhedeDepartment of Mechanical Engineering, University of Massachusetts Amherst, Amherst, MA, 01003, USA.
Xian DuDepartment of Mechanical Engineering, University of Massachusetts Amherst, Amherst, MA, 01003, USA. xiandu@umass.edu.
Keith W BrashlerSaudi Arabian Oil Company (Saudi Aramco), 31311, Dhahran, Saudi Arabia.
Mohammad M Ba'adaniSaudi Arabian Oil Company (Saudi Aramco), 31311, Dhahran, Saudi Arabia.
Doru C TurcanSaudi Arabian Oil Company (Saudi Aramco), 31311, Dhahran, Saudi Arabia.
Ali H ShehriSaudi Arabian Oil Company (Saudi Aramco), 31311, Dhahran, Saudi Arabia.
Kamal Youcef-ToumiMassachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditionally, in the oil and gas industry, accelerometers are mounted externally on motors for condition monitoring of vertically suspended, closed suction hydrocarbon pumps due to their inability to withstand harsh downhole environments, preventing the detection of impeller failures. This study addresses the need for encapsulation solutions for accelerometers submerged in hydrocarbon fluid environments. It evaluates the feasibility of epoxy and fluoroelastomer as encapsulation materials for long-term immersion in high-temperature hydrocarbon fluid and determines their impact on the accelerometer's performance. Extensive testing involved submersion in high-temperature hydrocarbon fluid at 150 °C for over 10,000 h and six months in brine. Material characterization, including mass variation, microscopic imaging, and FTIR spectroscopy, revealed negligible degradation. Encapsulated accelerometers effectively detected vibrations with an acceptable alteration in amplitude. In comparison with commercial alternatives, our encapsulation outperformed them. While oil traces became evident within just 24 h in the alternatives, our solution exhibited no signs of leakage. This research pioneers a novel packaging solution employing epoxy and fluoroelastomer for side-exit commercial sensors tailored for high-temperature hydrocarbon fluid applications, addressing a critical gap in the industry. Our work enhances reliability and safety for vertical oil pump condition monitoring in downhole applications, benefiting the oil and gas sector.

Identifiers

PMID37957215
PMCPMC10643642

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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.