Klasifikasi Kualitas Retensi Surfaktan Pada Batuan Sandstone Dengan Menggunakan Metode K Nearest Neighbor

Rezeki, Sri (2021) Klasifikasi Kualitas Retensi Surfaktan Pada Batuan Sandstone Dengan Menggunakan Metode K Nearest Neighbor. Other thesis, Universitas Islam Riau.

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Abstract

Sandstone is a type of sedimentary rock formed from cementation of grains of sand carried by rivers, wind, and waves and eventually accumulates in a place where the rock contains a lot of oil. However, to remove the oil can be done by injecting a surfactant solution. Surfactants work by reducing the interfacial tension between oil and rock, so that the trapped oil can be released from the rock. This event is called surfactant retention which is the main problem when injecting surfactants into rocks. The parameters that affect surfactant retention are Absolute Permeability, Total Acid Number, Temperature, Co-solvent, Polimer Salinity, Max Effluent pH, Mobility Ratio and Molecular weight (MW) Surfactant. To solve this problem, this study makes a classification system to determine the quality of surfactant retention in sandstone using the K Nearest Neighbor method. This method works by finding the proximity of a data to other data. The results of testing the best K value obtained at K = 3 and the results of testing the accuracy of the surfactant retention quality classification system is 82.22% and the implementation results obtained by the system are 76.2% indicating that the surfactant classification system in sandstone rocks can be applied.

Item Type: Thesis (Other)
Contributors:
ContributionContributorsNIDN/NIDK
SponsorSuryani, Desperpustakaan@uir.ac.id
Uncontrolled Keywords: Data Mining, Classification, Method K Nearest Neighbor, Sandstone
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: > Teknik Informatika
Depositing User: Febby Amelia
Date Deposited: 18 Mar 2022 06:35
Last Modified: 18 Mar 2022 06:35
URI: http://repository.uir.ac.id/id/eprint/8943

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