A prediction method for favorable hydrocarbon accumulation areas in carbonate oil reservoirs based on machine learning and driven by formation water chemical characteristic data.

Saved in:
Bibliographic Details
Title: A prediction method for favorable hydrocarbon accumulation areas in carbonate oil reservoirs based on machine learning and driven by formation water chemical characteristic data.
Authors: Chen, Zhiwei1,2 (AUTHOR), Gao, Jianbo2,3 (AUTHOR) 3486241948@qq.com, Pang, Hong1 (AUTHOR), Huo, Zhipeng2,3 (AUTHOR), Sun, Ningliang2,3 (AUTHOR), Lv, Yanping4 (AUTHOR), Wang, Yan4 (AUTHOR), Wu, Bo4 (AUTHOR)
Source: Carbonates & Evaporites. Dec2024, Vol. 39 Issue 4, p1-18. 18p.
Database: Academic Search Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: asn
DbLabel: Academic Search Ultimate
An: 179979477
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A prediction method for favorable hydrocarbon accumulation areas in carbonate oil reservoirs based on machine learning and driven by formation water chemical characteristic data.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Chen%2C+Zhiwei%22">Chen, Zhiwei</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gao%2C+Jianbo%22">Gao, Jianbo</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<i> 3486241948@qq.com</i><br /><searchLink fieldCode="AR" term="%22Pang%2C+Hong%22">Pang, Hong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huo%2C+Zhipeng%22">Huo, Zhipeng</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sun%2C+Ningliang%22">Sun, Ningliang</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lv%2C+Yanping%22">Lv, Yanping</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Yan%22">Wang, Yan</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wu%2C+Bo%22">Wu, Bo</searchLink><relatesTo>4</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Carbonates+%26+Evaporites%22">Carbonates & Evaporites</searchLink>. Dec2024, Vol. 39 Issue 4, p1-18. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=179979477
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s13146-024-01014-8
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 18
        StartPage: 1
    Titles:
      – TitleFull: A prediction method for favorable hydrocarbon accumulation areas in carbonate oil reservoirs based on machine learning and driven by formation water chemical characteristic data.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Chen, Zhiwei
      – PersonEntity:
          Name:
            NameFull: Gao, Jianbo
      – PersonEntity:
          Name:
            NameFull: Pang, Hong
      – PersonEntity:
          Name:
            NameFull: Huo, Zhipeng
      – PersonEntity:
          Name:
            NameFull: Sun, Ningliang
      – PersonEntity:
          Name:
            NameFull: Lv, Yanping
      – PersonEntity:
          Name:
            NameFull: Wang, Yan
      – PersonEntity:
          Name:
            NameFull: Wu, Bo
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: Dec2024
              Type: published
              Y: 2024
          Identifiers:
            – Type: issn-print
              Value: 08912556
          Numbering:
            – Type: volume
              Value: 39
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: Carbonates & Evaporites
              Type: main
ResultId 1