Slug Flow Bifurcation Diagram Reconstruction Using Lstm Neural Networks for Offshore Wells Article Swipe
D Spina
,
Giovani G. Gerevini
,
Nayher Clavijo
,
Tiago Lemos
,
Fábio C. Diehl
,
Maurı́cio Bezerra de Souza Júnior
,
José Carlos Pinto
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.2139/ssrn.5293630
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.2139/ssrn.5293630
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.2139/ssrn.5293630
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411266829
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4411266829Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.2139/ssrn.5293630Digital Object Identifier
- Title
-
Slug Flow Bifurcation Diagram Reconstruction Using Lstm Neural Networks for Offshore WellsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-01-01Full publication date if available
- Authors
-
D Spina, Giovani G. Gerevini, Nayher Clavijo, Tiago Lemos, Fábio C. Diehl, Maurı́cio Bezerra de Souza Júnior, José Carlos PintoList of authors in order
- Landing page
-
https://doi.org/10.2139/ssrn.5293630Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.2139/ssrn.5293630Direct OA link when available
- Concepts
-
Submarine pipeline, Diagram, Bifurcation, Geology, Flow (mathematics), Bifurcation diagram, Artificial neural network, Petroleum engineering, Computer science, Mechanics, Geometry, Artificial intelligence, Mathematics, Geotechnical engineering, Physics, Nonlinear system, Quantum mechanics, DatabaseTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4411266829 |
|---|---|
| doi | https://doi.org/10.2139/ssrn.5293630 |
| ids.doi | https://doi.org/10.2139/ssrn.5293630 |
| ids.openalex | https://openalex.org/W4411266829 |
| fwci | |
| type | preprint |
| title | Slug Flow Bifurcation Diagram Reconstruction Using Lstm Neural Networks for Offshore Wells |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10271 |
| topics[0].field.id | https://openalex.org/fields/19 |
| topics[0].field.display_name | Earth and Planetary Sciences |
| topics[0].score | 0.9952999949455261 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1908 |
| topics[0].subfield.display_name | Geophysics |
| topics[0].display_name | Seismic Imaging and Inversion Techniques |
| topics[1].id | https://openalex.org/T11801 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9944999814033508 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2212 |
| topics[1].subfield.display_name | Ocean Engineering |
| topics[1].display_name | Reservoir Engineering and Simulation Methods |
| topics[2].id | https://openalex.org/T10635 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.9943000078201294 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2210 |
| topics[2].subfield.display_name | Mechanical Engineering |
| topics[2].display_name | Hydraulic Fracturing and Reservoir Analysis |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C162284963 |
| concepts[0].level | 2 |
| concepts[0].score | 0.8435516953468323 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q17106102 |
| concepts[0].display_name | Submarine pipeline |
| concepts[1].id | https://openalex.org/C186399060 |
| concepts[1].level | 2 |
| concepts[1].score | 0.7293023467063904 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q959962 |
| concepts[1].display_name | Diagram |
| concepts[2].id | https://openalex.org/C2781349735 |
| concepts[2].level | 3 |
| concepts[2].score | 0.6588709950447083 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q4904824 |
| concepts[2].display_name | Bifurcation |
| concepts[3].id | https://openalex.org/C127313418 |
| concepts[3].level | 0 |
| concepts[3].score | 0.6318183541297913 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q1069 |
| concepts[3].display_name | Geology |
| concepts[4].id | https://openalex.org/C38349280 |
| concepts[4].level | 2 |
| concepts[4].score | 0.6121278405189514 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q1434290 |
| concepts[4].display_name | Flow (mathematics) |
| concepts[5].id | https://openalex.org/C86243350 |
| concepts[5].level | 4 |
| concepts[5].score | 0.6108658909797668 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q2595915 |
| concepts[5].display_name | Bifurcation diagram |
| concepts[6].id | https://openalex.org/C50644808 |
| concepts[6].level | 2 |
| concepts[6].score | 0.5936164259910583 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q192776 |
| concepts[6].display_name | Artificial neural network |
| concepts[7].id | https://openalex.org/C78762247 |
| concepts[7].level | 1 |
| concepts[7].score | 0.37283873558044434 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q1273174 |
| concepts[7].display_name | Petroleum engineering |
| concepts[8].id | https://openalex.org/C41008148 |
| concepts[8].level | 0 |
| concepts[8].score | 0.3514869213104248 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[8].display_name | Computer science |
| concepts[9].id | https://openalex.org/C57879066 |
| concepts[9].level | 1 |
| concepts[9].score | 0.3429619073867798 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q41217 |
| concepts[9].display_name | Mechanics |
| concepts[10].id | https://openalex.org/C2524010 |
| concepts[10].level | 1 |
| concepts[10].score | 0.3151153326034546 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q8087 |
| concepts[10].display_name | Geometry |
| concepts[11].id | https://openalex.org/C154945302 |
| concepts[11].level | 1 |
| concepts[11].score | 0.27984368801116943 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[11].display_name | Artificial intelligence |
| concepts[12].id | https://openalex.org/C33923547 |
| concepts[12].level | 0 |
| concepts[12].score | 0.1909022033214569 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[12].display_name | Mathematics |
| concepts[13].id | https://openalex.org/C187320778 |
| concepts[13].level | 1 |
| concepts[13].score | 0.19008731842041016 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q1349130 |
| concepts[13].display_name | Geotechnical engineering |
| concepts[14].id | https://openalex.org/C121332964 |
| concepts[14].level | 0 |
| concepts[14].score | 0.13841697573661804 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[14].display_name | Physics |
| concepts[15].id | https://openalex.org/C158622935 |
| concepts[15].level | 2 |
| concepts[15].score | 0.12920665740966797 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q660848 |
| concepts[15].display_name | Nonlinear system |
| concepts[16].id | https://openalex.org/C62520636 |
| concepts[16].level | 1 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q944 |
| concepts[16].display_name | Quantum mechanics |
| concepts[17].id | https://openalex.org/C77088390 |
| concepts[17].level | 1 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q8513 |
| concepts[17].display_name | Database |
| keywords[0].id | https://openalex.org/keywords/submarine-pipeline |
| keywords[0].score | 0.8435516953468323 |
| keywords[0].display_name | Submarine pipeline |
| keywords[1].id | https://openalex.org/keywords/diagram |
| keywords[1].score | 0.7293023467063904 |
| keywords[1].display_name | Diagram |
| keywords[2].id | https://openalex.org/keywords/bifurcation |
| keywords[2].score | 0.6588709950447083 |
| keywords[2].display_name | Bifurcation |
| keywords[3].id | https://openalex.org/keywords/geology |
| keywords[3].score | 0.6318183541297913 |
| keywords[3].display_name | Geology |
| keywords[4].id | https://openalex.org/keywords/flow |
| keywords[4].score | 0.6121278405189514 |
| keywords[4].display_name | Flow (mathematics) |
| keywords[5].id | https://openalex.org/keywords/bifurcation-diagram |
| keywords[5].score | 0.6108658909797668 |
| keywords[5].display_name | Bifurcation diagram |
| keywords[6].id | https://openalex.org/keywords/artificial-neural-network |
| keywords[6].score | 0.5936164259910583 |
| keywords[6].display_name | Artificial neural network |
| keywords[7].id | https://openalex.org/keywords/petroleum-engineering |
| keywords[7].score | 0.37283873558044434 |
| keywords[7].display_name | Petroleum engineering |
| keywords[8].id | https://openalex.org/keywords/computer-science |
| keywords[8].score | 0.3514869213104248 |
| keywords[8].display_name | Computer science |
| keywords[9].id | https://openalex.org/keywords/mechanics |
| keywords[9].score | 0.3429619073867798 |
| keywords[9].display_name | Mechanics |
| keywords[10].id | https://openalex.org/keywords/geometry |
| keywords[10].score | 0.3151153326034546 |
| keywords[10].display_name | Geometry |
| keywords[11].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[11].score | 0.27984368801116943 |
| keywords[11].display_name | Artificial intelligence |
| keywords[12].id | https://openalex.org/keywords/mathematics |
| keywords[12].score | 0.1909022033214569 |
| keywords[12].display_name | Mathematics |
| keywords[13].id | https://openalex.org/keywords/geotechnical-engineering |
| keywords[13].score | 0.19008731842041016 |
| keywords[13].display_name | Geotechnical engineering |
| keywords[14].id | https://openalex.org/keywords/physics |
| keywords[14].score | 0.13841697573661804 |
| keywords[14].display_name | Physics |
| keywords[15].id | https://openalex.org/keywords/nonlinear-system |
| keywords[15].score | 0.12920665740966797 |
| keywords[15].display_name | Nonlinear system |
| language | en |
| locations[0].id | doi:10.2139/ssrn.5293630 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210172589 |
| locations[0].source.issn | 1556-5068 |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1556-5068 |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | SSRN Electronic Journal |
| locations[0].source.host_organization | https://openalex.org/I1318003438 |
| locations[0].source.host_organization_name | RELX Group (Netherlands) |
| locations[0].source.host_organization_lineage | https://openalex.org/I1318003438 |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.2139/ssrn.5293630 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5064197888 |
| authorships[0].author.orcid | https://orcid.org/0009-0007-8959-2135 |
| authorships[0].author.display_name | D Spina |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Deris Eduardo Spina |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5066713441 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-1163-029X |
| authorships[1].author.display_name | Giovani G. Gerevini |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Giovani G. Gerevini |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5016833656 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-1620-4265 |
| authorships[2].author.display_name | Nayher Clavijo |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Nayher A. Clavijo |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5060947082 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-0327-7545 |
| authorships[3].author.display_name | Tiago Lemos |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Tiago Lemos |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5005429548 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-7736-1395 |
| authorships[4].author.display_name | Fábio C. Diehl |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Fabio César Diehl |
| authorships[4].is_corresponding | False |
| authorships[5].author.id | https://openalex.org/A5109220783 |
| authorships[5].author.orcid | |
| authorships[5].author.display_name | Maurı́cio Bezerra de Souza Júnior |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Maurı́cio Bezerra de Souza Júnior |
| authorships[5].is_corresponding | False |
| authorships[6].author.id | https://openalex.org/A5101767121 |
| authorships[6].author.orcid | https://orcid.org/0000-0003-2631-1811 |
| authorships[6].author.display_name | José Carlos Pinto |
| authorships[6].author_position | last |
| authorships[6].raw_author_name | José Carlos Pinto |
| authorships[6].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.2139/ssrn.5293630 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Slug Flow Bifurcation Diagram Reconstruction Using Lstm Neural Networks for Offshore Wells |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10271 |
| primary_topic.field.id | https://openalex.org/fields/19 |
| primary_topic.field.display_name | Earth and Planetary Sciences |
| primary_topic.score | 0.9952999949455261 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1908 |
| primary_topic.subfield.display_name | Geophysics |
| primary_topic.display_name | Seismic Imaging and Inversion Techniques |
| related_works | https://openalex.org/W2391540797, https://openalex.org/W4206623065, https://openalex.org/W2005355485, https://openalex.org/W1570727143, https://openalex.org/W168375694, https://openalex.org/W2703435152, https://openalex.org/W2119092717, https://openalex.org/W2063555990, https://openalex.org/W2002820797, https://openalex.org/W3153461053 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.2139/ssrn.5293630 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210172589 |
| best_oa_location.source.issn | 1556-5068 |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1556-5068 |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | SSRN Electronic Journal |
| best_oa_location.source.host_organization | https://openalex.org/I1318003438 |
| best_oa_location.source.host_organization_name | RELX Group (Netherlands) |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I1318003438 |
| best_oa_location.license | |
| best_oa_location.pdf_url | |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.2139/ssrn.5293630 |
| primary_location.id | doi:10.2139/ssrn.5293630 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210172589 |
| primary_location.source.issn | 1556-5068 |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1556-5068 |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | SSRN Electronic Journal |
| primary_location.source.host_organization | https://openalex.org/I1318003438 |
| primary_location.source.host_organization_name | RELX Group (Netherlands) |
| primary_location.source.host_organization_lineage | https://openalex.org/I1318003438 |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.2139/ssrn.5293630 |
| publication_date | 2025-01-01 |
| publication_year | 2025 |
| referenced_works_count | 0 |
| abstract_inverted_index | |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 7 |
| citation_normalized_percentile.value | 0.26508046 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |