Data · dataset · 2026
Experimental and Numerical Investigation of Multi-Regime Oil Leakage from Underwater Pipelines
Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.6084/m9.figshare.34042275.v1
<p dir="ltr">Oil leakage from submerged pipelines poses significant risks to aquatic environments and water resources.
Description
In this study, experimental investigations combined with numerical simulations were conducted to elucidate the multi-regime evolution and migration characteristics of underwater oil leakage. The effects of oil density, viscosity, leakage mass flow rate, orifice diameter, and water depth on oil-phase morphology, plume evolution, and surface arrival behavior were systematically analyzed.
The experiments revealed three typical leakage regimes, including discrete-droplet flow, transitional-breakup, and atomized-plume, with increasing leakage intensity. A dimensionless regime map based on Reynolds (<i>Re</i>) and Ohnesorge (<i>Oh</i>) numbers was established to characterize the transition among different leakage states. According to the identified flow regimes, two numerical approaches were employed: the Volume of Fluid (VOF) method was used for droplet/jet-dominated leakage with resolvable oil-water interfaces, while the coupled VOF-Discrete Phase Model (VOF-DPM) approach was adopted for atomized leakage involving fine oil droplets.
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The numerical results showed good agreement with experimental observations in terms of oil morphology and migration behavior. Parametric analysis demonstrated that oil density was the dominant factor affecting surface arrival time, followed by water depth, orifice diameter, and leakage intensity. This study provides a flow-regime-dependent framework for understanding underwater oil migration and improving leakage assessment and response strategies.</p>
Links
Where it is published
- DOI doi.org/10.6084/m9.figshare.34042275.v1 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science
- Inferred from text
- Pollution and contamination 72%
Provenance · 3 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/34042275 | 5 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/34042275 | 5 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/34042275 | 5 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].anzsrc:group:4105 | enrichment · zivahub uct ac za | taxonomy-embedding@1.1.0 | title+keywords+description (72%) |
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |