OPTIMIZING SURFACTANT SCREENING IN CHEMICAL ENHANCED OIL RECOVERY (CEOR) USING MACHINE LEARNING MODELS TO PREDICT INTERFACIAL TENSION (IFT) IN OIL-SURFACTANT-WATER SYSTEMS

OPTIMIZING SURFACTANT SCREENING IN CHEMICAL ENHANCED OIL RECOVERY (CEOR) USING MACHINE LEARNING MODELS TO PREDICT INTERFACIAL TENSION (IFT) IN OIL-SURFACTANT-WATER SYSTEMS

Memprediksi tegangan antarmuka sistem minyak-surfaktan-air (IFT) dapat memfasilitasi pemilihan dan injeksi surfaktan CEOR. Prediksi IFT secara tradisional memerlukan studi laboratorium yang memakan waktu dan mahal. Penelitian ini menggunakan algoritma pembelajaran mesin untuk memperkirakan nilai teg...

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Bibliographic Details
Main Author:	Abdillah Aziz, Muhammad
Format:	Final Project
Language:	Indonesia
Subjects:	Pertambangan dan operasi berkaitan
Online Access:	https://digilib.itb.ac.id/gdl/view/82291
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Institut Teknologi Bandung
Language:	Indonesia

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