relation: https://khub.utp.edu.my/scholars/9080/
title: Application of Killer Whale Algorithm in ASP EOR Optimization
creator: Biyanto, T.R.
creator: Matradji
creator: Sawal
creator: Rahman, A.H.
creator: Abdillah, A.I.
creator: Bethiana, T.N.
creator: Irawan, S.
description: Enhanced Oil Recovery (EOR) is utilized to increase oil production after primary and secondary methods. EOR is classified into three main categories i.e. thermal recovery, chemical flooding and miscible flooding. Alkaline Surfactant Polymer (ASP) EOR is a method of chemical flooding in which the increase of oil recovery is ranging from 19 to 34 of original oil in place (OOIP). In order to obtain optimal results of ASP EOR needs to consider several parameters i.e. the concentration of ASP, ASP material procurement costs, the injection pressure and mass flow rate of injection. Beggs-Brill method is used to model the pressure drop in the injection well and production well. The mean error of Beggs-Brill method to PIPESIM simulation result is 0.5076. Meanwhile the modelling of reservoir pressure conducted using Darcy equation shows that the mean error of Darcy equation model to COMSOL Multiphysics simulation result is 3.378�10-5. The optimization results using Killer Whale Algorithm (KWA) exhibits the net profit of ASP EOR increases up to 87.72 or net profit can be optimized from 9586.40 USD/day to 17995.19 USD/day. © 2018 The Authors.
publisher: Elsevier B.V.
date: 2017
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Biyanto, T.R. and Matradji and Sawal and Rahman, A.H. and Abdillah, A.I. and Bethiana, T.N. and Irawan, S.  (2017) Application of Killer Whale Algorithm in ASP EOR Optimization.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041531146&doi=10.1016%2fj.procs.2017.12.142&partnerID=40&md5=b97930916373202d934b75effc716962
relation: 10.1016/j.procs.2017.12.142
identifier: 10.1016/j.procs.2017.12.142