Variable Permeability Prediction Method for Reservoirs with Different Water Quality Based on Machine Learning Article Swipe
Xian-Kun Song
,
Yuetian Liu
,
Pingtian Fan
,
Xinju Liu
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.2139/ssrn.4552025
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.2139/ssrn.4552025
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.2139/ssrn.4552025
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386178111
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4386178111Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.2139/ssrn.4552025Digital Object Identifier
- Title
-
Variable Permeability Prediction Method for Reservoirs with Different Water Quality Based on Machine LearningWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-01Full publication date if available
- Authors
-
Xian-Kun Song, Yuetian Liu, Pingtian Fan, Xinju LiuList of authors in order
- Landing page
-
https://doi.org/10.2139/ssrn.4552025Publisher 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.4552025Direct OA link when available
- Concepts
-
Variable (mathematics), Permeability (electromagnetism), Computer science, Quality (philosophy), Water quality, Petroleum engineering, Artificial intelligence, Machine learning, Geology, Mathematics, Chemistry, Physics, Biochemistry, Mathematical analysis, Biology, Quantum mechanics, Ecology, MembraneTop 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/W4386178111 |
|---|---|
| doi | https://doi.org/10.2139/ssrn.4552025 |
| ids.doi | https://doi.org/10.2139/ssrn.4552025 |
| ids.openalex | https://openalex.org/W4386178111 |
| fwci | 0.0 |
| type | preprint |
| title | Variable Permeability Prediction Method for Reservoirs with Different Water Quality Based on Machine Learning |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10635 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.7979999780654907 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2210 |
| topics[0].subfield.display_name | Mechanical Engineering |
| topics[0].display_name | Hydraulic Fracturing and Reservoir Analysis |
| 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 | 0.78329998254776 |
| 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/T13050 |
| topics[2].field.id | https://openalex.org/fields/22 |
| topics[2].field.display_name | Engineering |
| topics[2].score | 0.7330999970436096 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2212 |
| topics[2].subfield.display_name | Ocean Engineering |
| topics[2].display_name | Oil and Gas Production Techniques |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C182365436 |
| concepts[0].level | 2 |
| concepts[0].score | 0.607210636138916 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q50701 |
| concepts[0].display_name | Variable (mathematics) |
| concepts[1].id | https://openalex.org/C120882062 |
| concepts[1].level | 3 |
| concepts[1].score | 0.5791558623313904 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q28352 |
| concepts[1].display_name | Permeability (electromagnetism) |
| concepts[2].id | https://openalex.org/C41008148 |
| concepts[2].level | 0 |
| concepts[2].score | 0.4908202588558197 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[2].display_name | Computer science |
| concepts[3].id | https://openalex.org/C2779530757 |
| concepts[3].level | 2 |
| concepts[3].score | 0.46666616201400757 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q1207505 |
| concepts[3].display_name | Quality (philosophy) |
| concepts[4].id | https://openalex.org/C2780797713 |
| concepts[4].level | 2 |
| concepts[4].score | 0.43497875332832336 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q625376 |
| concepts[4].display_name | Water quality |
| concepts[5].id | https://openalex.org/C78762247 |
| concepts[5].level | 1 |
| concepts[5].score | 0.4089243412017822 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q1273174 |
| concepts[5].display_name | Petroleum engineering |
| concepts[6].id | https://openalex.org/C154945302 |
| concepts[6].level | 1 |
| concepts[6].score | 0.402632474899292 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[6].display_name | Artificial intelligence |
| concepts[7].id | https://openalex.org/C119857082 |
| concepts[7].level | 1 |
| concepts[7].score | 0.33433598279953003 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q2539 |
| concepts[7].display_name | Machine learning |
| concepts[8].id | https://openalex.org/C127313418 |
| concepts[8].level | 0 |
| concepts[8].score | 0.24680307507514954 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q1069 |
| concepts[8].display_name | Geology |
| concepts[9].id | https://openalex.org/C33923547 |
| concepts[9].level | 0 |
| concepts[9].score | 0.1938166320323944 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[9].display_name | Mathematics |
| concepts[10].id | https://openalex.org/C185592680 |
| concepts[10].level | 0 |
| concepts[10].score | 0.12298217415809631 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q2329 |
| concepts[10].display_name | Chemistry |
| concepts[11].id | https://openalex.org/C121332964 |
| concepts[11].level | 0 |
| concepts[11].score | 0.05063936114311218 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[11].display_name | Physics |
| concepts[12].id | https://openalex.org/C55493867 |
| concepts[12].level | 1 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q7094 |
| concepts[12].display_name | Biochemistry |
| concepts[13].id | https://openalex.org/C134306372 |
| concepts[13].level | 1 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q7754 |
| concepts[13].display_name | Mathematical analysis |
| concepts[14].id | https://openalex.org/C86803240 |
| concepts[14].level | 0 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[14].display_name | Biology |
| concepts[15].id | https://openalex.org/C62520636 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q944 |
| concepts[15].display_name | Quantum mechanics |
| concepts[16].id | https://openalex.org/C18903297 |
| concepts[16].level | 1 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q7150 |
| concepts[16].display_name | Ecology |
| concepts[17].id | https://openalex.org/C41625074 |
| concepts[17].level | 2 |
| concepts[17].score | 0.0 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q176088 |
| concepts[17].display_name | Membrane |
| keywords[0].id | https://openalex.org/keywords/variable |
| keywords[0].score | 0.607210636138916 |
| keywords[0].display_name | Variable (mathematics) |
| keywords[1].id | https://openalex.org/keywords/permeability |
| keywords[1].score | 0.5791558623313904 |
| keywords[1].display_name | Permeability (electromagnetism) |
| keywords[2].id | https://openalex.org/keywords/computer-science |
| keywords[2].score | 0.4908202588558197 |
| keywords[2].display_name | Computer science |
| keywords[3].id | https://openalex.org/keywords/quality |
| keywords[3].score | 0.46666616201400757 |
| keywords[3].display_name | Quality (philosophy) |
| keywords[4].id | https://openalex.org/keywords/water-quality |
| keywords[4].score | 0.43497875332832336 |
| keywords[4].display_name | Water quality |
| keywords[5].id | https://openalex.org/keywords/petroleum-engineering |
| keywords[5].score | 0.4089243412017822 |
| keywords[5].display_name | Petroleum engineering |
| keywords[6].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[6].score | 0.402632474899292 |
| keywords[6].display_name | Artificial intelligence |
| keywords[7].id | https://openalex.org/keywords/machine-learning |
| keywords[7].score | 0.33433598279953003 |
| keywords[7].display_name | Machine learning |
| keywords[8].id | https://openalex.org/keywords/geology |
| keywords[8].score | 0.24680307507514954 |
| keywords[8].display_name | Geology |
| keywords[9].id | https://openalex.org/keywords/mathematics |
| keywords[9].score | 0.1938166320323944 |
| keywords[9].display_name | Mathematics |
| keywords[10].id | https://openalex.org/keywords/chemistry |
| keywords[10].score | 0.12298217415809631 |
| keywords[10].display_name | Chemistry |
| keywords[11].id | https://openalex.org/keywords/physics |
| keywords[11].score | 0.05063936114311218 |
| keywords[11].display_name | Physics |
| language | en |
| locations[0].id | doi:10.2139/ssrn.4552025 |
| 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.4552025 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5063534148 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Xian-Kun Song |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | song xiankun |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5101576088 |
| authorships[1].author.orcid | https://orcid.org/0000-0001-8496-615X |
| authorships[1].author.display_name | Yuetian Liu |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Yuetian Liu |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5066160741 |
| authorships[2].author.orcid | https://orcid.org/0009-0009-1933-5357 |
| authorships[2].author.display_name | Pingtian Fan |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Pingtian Fan |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5005912699 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Xinju Liu |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Xinju Liu |
| authorships[3].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.4552025 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Variable Permeability Prediction Method for Reservoirs with Different Water Quality Based on Machine Learning |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10635 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.7979999780654907 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2210 |
| primary_topic.subfield.display_name | Mechanical Engineering |
| primary_topic.display_name | Hydraulic Fracturing and Reservoir Analysis |
| related_works | https://openalex.org/W2961085424, https://openalex.org/W4306674287, https://openalex.org/W4224009465, https://openalex.org/W4286629047, https://openalex.org/W4306321456, https://openalex.org/W4285260836, https://openalex.org/W3046775127, https://openalex.org/W3170094116, https://openalex.org/W4205958290, https://openalex.org/W3209574120 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.2139/ssrn.4552025 |
| 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.4552025 |
| primary_location.id | doi:10.2139/ssrn.4552025 |
| 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.4552025 |
| publication_date | 2023-01-01 |
| publication_year | 2023 |
| referenced_works_count | 0 |
| abstract_inverted_index | |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/6 |
| sustainable_development_goals[0].score | 0.800000011920929 |
| sustainable_development_goals[0].display_name | Clean water and sanitation |
| citation_normalized_percentile.value | 0.13418816 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |