2025-04-04https://repository.covenantuniversity.edu.ng/handle/123456789/43930This paperpresentsdatasetonthebeneficiation ofaNigerianclay mineral fordrillingmudapplication.Theexperimentaldesign applied usedaResponseSurfaceDesign(RSM),whichinvolved24 (2-Level, 4-Factors)togeneratestatisticalmodels,andanalyzethe dataset. Theindependentvariableswere(Bentonite; X1), (Polymer; X2), (SodiumCarbonate, X3) and(AgingTime; X4). Therheological properties ofinterest,whichformstheresponsevariables,were selected basedontheAPIspecification 13-Afordrillinggrade bentonite.Theoutcomesshowthatthesecond-orderstatistical models derivedfromresponses fitted wellwiththeexperimental results. Predictivemodelsobtainedfromthestatisticalcharacter- ization ofthebeneficiation processwouldallowforthedesignand cost-effectiveplanningoftheprocedure.Thebeneficiation ofthe clay usingsodiumcarbonateandKelzans XCDpolymerensuedin an improvementintherheologicalpropertiesoftheformulated drilling mud.ThesepropertieswerecomparablewiththeAPI specification 13-Afordrilling fluid materialsapplication/pdfTP Chemical technologyArticle