Evidence map›Paper›PMID 41696340›Full record

ArticleACS omega2026

Research on Leakage Diffusion and Prediction Model of Multifactor High-Pressure Buried Hydrogen-Blended Natural Gas Pipeline.

Jiuqing Ban, Xin Wang, Wei Yang, Gang Liu, Xiaodong Wang, Xiaopeng Yan, Xiaoyun Yuan

Abstract read
In one paragraph

Article in ACS omega, 2026. 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
0cells of the map it votes in
0citing 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

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.

Jiuqing BanResearch Institute of Natural Gas Technology, PetroChina Southwest Oil and Gas Field Company, Chengdu 610213, China.
Xin WangCollege of Safety Science and Engineering, Chongqing University of Science & Technology, Chongqing 401331, China.
Wei YangResearch Institute of Natural Gas Technology, PetroChina Southwest Oil and Gas Field Company, Chengdu 610213, China.
Gang LiuCollege of Safety Science and Engineering, Chongqing University of Science & Technology, Chongqing 401331, China.ORCID https://orcid.org/0000-0002-6476-3395
Xiaodong WangPetroChina Southwest Oil and Gas Field Company, Chengdu 610056, China.
Xiaopeng YanSchool of Energy, School of Petroleum and Natural Gas Engineering, Changzhou University, Changzhou 213164, China.ORCID https://orcid.org/0000-0002-7422-2963
Xiaoyun YuanResearch Institute of Natural Gas Technology, PetroChina Southwest Oil and Gas Field Company, Chengdu 610213, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydrogen is an important carrier of clean energy, and its transport through existing natural gas pipeline networks has become an international consensus for large-scale delivery. The existing large-scale, long-distance transportation of natural gas relies on buried pipelines. However, there are significant differences in the physical and chemical properties of methane and hydrogen. Hydrogen mixed into the natural gas pipeline network for transportation may cause hydrogen embrittlement in the pipeline, which can lead to leakage and explosion accidents, causing serious injury to the surrounding personnel and property. In this study, numerical simulation was used to explore the leakage and diffusion laws of buried high-pressure hydrogen-blended natural gas (HBNG) pipelines as well as the initial explosion time (IET) and leakage of HBNG in forming the ground surface explosion zone under different hydrogen blending ratios (HBRs), soil properties, pipeline pressure, burial depth, soil temperature, leakage hole diameter, and other influencing factors. The results demonstrate that soil properties significantly influence the diffusion characteristics of gas leakage. The increases in leakage hole diameter, pipeline pressure, HBRs, and soil temperature all contribute to an earlier IET. The formation of IET is significantly delayed with increasing burial depth. The increase in HBR will lead to a decrease in gas leakage, and the two are negatively correlated. Multivariate function prediction models of IET and mass flow rate were established by coupling multiple influencing factors with average errors of 4.7 and 2.67%, respectively. This study provides a numerical reference for optimizing the maintenance and repair plans and emergency response plans after the HBNG pipeline leakage.

Identifiers

PMID41696340
PMCPMC12903143

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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.