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dc.contributor.authorYu, Hongyan
dc.contributor.authorWang, Z.
dc.contributor.authorRezaee, Reza
dc.contributor.authorZhang, Y.
dc.contributor.authorNwidee, Lezorgia N.
dc.contributor.authorLiu, X.
dc.contributor.authorVerrall, M.
dc.contributor.authorIglauer, Stefan
dc.date.accessioned2022-11-02T05:55:24Z
dc.date.available2022-11-02T05:55:24Z
dc.date.issued2020
dc.identifier.citationYu, H. and Wang, Z. and Rezaee, R. and Zhang, Y. and Nwidee, L.N. and Liu, X. and Verrall, M. et al. 2020. Formation water geochemistry for carbonate reservoirs in Ordos basin, China: Implications for hydrocarbon preservation by machine learning. Journal of Petroleum Science and Engineering. 185: ARTN 106673.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/89580
dc.identifier.doi10.1016/j.petrol.2019.106673
dc.description.abstract

Formation water can in principal be used to identify hydrocarbon reserves. One such potential reserves are the gas reservoirs in the Ordos basin in China. However, there is limited data for this basin; we thus investigated the geochemical properties of a large range of formation water acquired from the Ordovician in the Ordos basin (42 brine samples obtained from different wells at M5 member) and analyzed their chemical characteristics. The results showed that this formation water is associated with a sealed reservoir, which is good for hydrocarbon storage. This is also related to the demonstrated strong diagenetic transformations. We also proposed statistical relationships between these geochemical properties and hydrocarbon storage based on a machine learning method (Decision tree). The results suggest that the salinity, Na+/Cl− ratio, (Cl−-Na+)/Mg2+ ratio, (HCO3−-CO32-)/Ca2+ ratio and Mg2+/Ca2+ ratio highly correlate with the gas preservation. The results thus provide drastically more accurate predictions in terms of where to find gas reservoirs in the Ordos basin, and can thus lead to significantly better exploitation of these resources.

dc.languageEnglish
dc.publisherELSEVIER
dc.subjectScience & Technology
dc.subjectTechnology
dc.subjectEnergy & Fuels
dc.subjectEngineering, Petroleum
dc.subjectEngineering
dc.subjectFormation water
dc.subjectIon concentration
dc.subjectHydrocarbon preservation
dc.subjectMachine learning
dc.subjectDecision tree
dc.subjectTHERMOCHEMICAL SULFATE REDUCTION
dc.subjectNATURAL HYDROTHERMAL SYSTEMS
dc.subjectCANADA SEDIMENTARY BASIN
dc.subjectSALINE FORMATION WATER
dc.subjectMETEORIC WATER
dc.subjectROCK REACTIONS
dc.subjectGERMAN BASIN
dc.subjectGAS-FIELD
dc.subjectISOTOPIC COMPOSITION
dc.subjectBASALT INTERACTIONS
dc.titleFormation water geochemistry for carbonate reservoirs in Ordos basin, China: Implications for hydrocarbon preservation by machine learning
dc.typeJournal Article
dcterms.source.volume185
dcterms.source.issn0920-4105
dcterms.source.titleJournal of Petroleum Science and Engineering
dc.date.updated2022-11-02T05:55:24Z
curtin.departmentWASM: Minerals, Energy and Chemical Engineering
curtin.accessStatusFulltext not available
curtin.facultyFaculty of Science and Engineering
curtin.contributor.orcidRezaee, Reza [0000-0001-9342-8214]
curtin.contributor.researcheridRezaee, Reza [A-5965-2008]
curtin.identifier.article-numberARTN 106673
dcterms.source.eissn1873-4715
curtin.contributor.scopusauthoridRezaee, Reza [39062014600]
curtin.contributor.scopusauthoridIglauer, Stefan [7801631384]


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