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dc.contributor.authorLi, Zihaoen
dc.contributor.authorDu, Chenguangen
dc.contributor.authorTang, Yongqiangen
dc.contributor.authorLi, Xiangmingen
dc.date.accessioned2020-10-05T13:49:39Z
dc.date.available2020-10-05T13:49:39Z
dc.date.issued2020-08-25en
dc.identifier.issn2470-1343en
dc.identifier.urihttp://hdl.handle.net/10919/100165
dc.description.abstractAn oilfield reservoir over long-term operation may have different petrophysical information, which has a significant impact on oilfield maintenance and finance. Successful oilfield enhanced oil recovery benefits a lot from identifying and analyzing the variations of the critical properties after long-term water-flooding treatments. Since the inspection wells drilled within different development periods contain the core samples that have the petrophysical information at that period, it is necessary to collect and test the samples from different periods to investigate the overall tendency of the petrophysical properties. The samples from four inspection wells, which were drilled in four stages since the very beginning of development, were subjected to in-laboratory core analysis methods to illustrate the variation of some critical parameters in the reservoir. The permeability and porosity variation are revealed clearly by the experimental results. The migration and dissolution of clay minerals play a crucial role in the variation of petrophysical information and pore structure. To quantify the variations above, we applied the multiple linear regression model into our investigation. The dependent variable and all of the predictors in the model come from the experimental results. The quantitative results show the closed correlation between different parameters in the formation. With the development stage moving forward, the weight coefficients for different predictors have multiple trends. The experimental and statistical approach provides a novel understanding of the reservoir properties with the effect of waterflooding treatment.en
dc.description.sponsorshipNational Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41972098]; Virginia Tech Open Access Subvention Funden
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.rightsCreative Commons Attribution-NonCommercial 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/en
dc.titleExperimental and Statistical Investigation of Reservoir Properties with the Effect of Waterflooding Treatmenten
dc.typeArticle - Refereeden
dc.contributor.departmentMining and Minerals Engineeringen
dc.contributor.departmentSchool of Educationen
dc.description.notesThe authors thank the National Natural Science Foundation of China (No. 41972098) for their financial support to carry out this research. The authors also thank the support from the Virginia Tech Open Access Subvention Fund. The collaborators from the Statistical Applications & Innovations Group (SAIG) at Virginia Tech will also be thanked for their assistance and comments on the regression model. The insightful and constructive comments of the anonymous reviewers are also gratefully acknowledged.en
dc.title.serialACS Omegaen
dc.identifier.doihttps://doi.org/10.1021/acsomega.0c02374en
dc.identifier.volume5en
dc.identifier.issue33en
dc.type.dcmitypeTexten
dc.identifier.pmid32875227en


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Creative Commons Attribution-NonCommercial 4.0 International
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