Evidence map›Paper›PMID 39005799›Full record

ArticleACS omega2024

Research on Oil and Gas Adsorption Optimization Based on CFD Modeling and Process Simulation.

Bin Liu, Mengjiao Zhang, Ye Tao, Zhe Cui, Wende Tian

Abstract read
In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Bin LiuCollege of Chemical Engineering, Qingdao University of Science & Technology, Qingdao 266042, P. R. China.
Mengjiao ZhangCollege of Chemical Engineering, Qingdao University of Science & Technology, Qingdao 266042, P. R. China.ORCID https://orcid.org/0009-0009-4239-6959
Ye TaoCollege of Chemical Engineering, Qingdao University of Science & Technology, Qingdao 266042, P. R. China.
Zhe CuiCollege of Chemical Engineering, Qingdao University of Science & Technology, Qingdao 266042, P. R. China.ORCID https://orcid.org/0000-0002-0765-8863
Wende TianCollege of Chemical Engineering, Qingdao University of Science & Technology, Qingdao 266042, P. R. China.ORCID https://orcid.org/0000-0002-8270-8947

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the process of oil extraction and refining, some of the liquid light hydrocarbon components will inevitably evaporate into the atmosphere, causing serious air pollution and safety hazards. This paper is focused on oil and gas adsorption systems to comprehensively optimize key parameters by combining computational fluid dynamics (CFD) modeling with process simulation, enabling the efficient treatment of hazardous materials. First, a CFD model of the hydrocarbon adsorption process is established to the porous media model by a user-defined function (UDF). Subsequently, the mass transfer process of oil and gas in porous media is successfully simulated to obtain the gas distribution in an industrial fixed bed adsorption tower. The adsorption tank is intensified, and the gas distribution in the tank is improved by optimizing the height-to-diameter ratio of the equipment and the design of the intake distributor. Third, the cyclic two-tank adsorption model of the pressure swing adsorption (PSA) process is established for key parameters optimization. Finally, the operating parameters and conditions of the PSA process are suspected by considering five factors affecting the adsorption efficiency: adsorption time, adsorption pressure, adsorption temperature, feed flow rate, and purge ratio of the washing step.

Identifiers

PMID39005799
PMCPMC11238286

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.