Home           Contact us           FAQs           
   Journal Page   |   Aims & Scope   |   Author Guideline   |   Editorial Board   |   Search
2013 (Vol. 6, Issue: 11)
Article Information:

Optimization of Anaerobic Treatment of Petroleum Refinery Wastewater Using Artificial Neural Networks

H.A. Gasim, S.R.M. Kutty, M. Hasnain Isa and L.T. Alemu
Corresponding Author:  H.A. Gasim 

Key words:  Anaerobic digestion, artificial neural networks, chemical oxygen demand, petroleum refinery wastewater, UASB, ,
Vol. 6 , (11): 2077-2082
Submitted Accepted Published
September 27, 2012 November 08, 2012 July 25, 2013

Treatment of petroleum refinery wastewater using anaerobic treatment has many advantages over other biological method particularly when used to treat complex wastewater. In this study, accumulated data of Up-flow Anaerobic Sludge Blanket (UASB) reactor treating petroleum refinery wastewater under six different volumetric organic loads (0.58, 1.21, 0.89, 2.34, 1.47 and 4.14 kg COD/m3.d, respectively) were used for developing mathematical model that could simulate the process pattern. The data consist of 160 entries and were gathered over approximately 180 days from two UASB reactors that were continuously operating in parallel. Artificial neural network software was used to model the reactor behavior during different loads applied. Two transfer functions were compared and different number of neurons was tested to find the optimum model that predicts the reactor pattern. The tangent sigmoid transfer function (tansig) at hidden layer and a linear transfer function (purelin) at output layer with 12 neurons were selected as the optimum best model.
Abstract PDF HTML
  Cite this Reference:
H.A. Gasim, S.R.M. Kutty, M. Hasnain Isa and L.T. Alemu, 2013. Optimization of Anaerobic Treatment of Petroleum Refinery Wastewater Using Artificial Neural Networks.  Research Journal of Applied Sciences, Engineering and Technology, 6(11): 2077-2082.
    Advertise with us
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved