DOI Number : 10.5614/j.eng.technol.sci.2014.46.1.4
Hits : 14

Designing a Genetic Algorithm for Efficient Calculation in Time-Lapse Gravity Inversion

Eko Januari Wahyudi, Djoko Santoso, Wawan Gunawan Abdul Kadir & Susanti Alawiyah

Applied Geophysics Research Group, Faculty of Mining and Petroleum Engineering, Institut Teknologi Bandung,  Jalan Ganesha 10 Gd. BSC-B Lt.2, Bandung 40132, Indonesia
Email: ekojw@gf.itb.ac.id


Abstract. As an advanced application of soft computation in the oil and gas industry, genetic algorithms (GA) can contribute to geophysical inversion problems in order to achieve better results and efficiency in the computational process. Time-lapse gravity responses to pore-fluid density changes can be modeled to provide the density distribution in the subsurface. This paper discusses the progress of work in inverse modeling of time-lapse gravity data using value encoding with alphabet formulation. The alphabet formulation was designed to provide the solution for positive and negative density change with respect to a reference value (0 gr/cc). The inversion was computed using a genetic algorithm as the optimization method. Working with genetic algorithms, time-intensive computational processes are a challenge, so the algorithm was designed in steps through the evaluation of a GA operator performance test. The performances of several combinations of GA operators (selection, crossover, mutation, and replacement) were tested with a synthetic model of a single-layer reservoir. Sharp boundaries of density changes in the reservoir layer were derived from interpretation of the averaged calculation of several model samples. Analysis showed that the combination of stochastic universal sample–multipoint crossover–quenched simulated annealing per generation–no duplicity achieved the most promising results.

Keywords: genetic algorithm; inverse modeling; optimization; reservoir monitoring; time-lapse gravity.

Download Article
 
Bahasa Indonesia | English
 
 
 

Notification:

Begin on 10 October 2014 this website is no longer activated for article process in Journal of Mathematical and Fundamental Sciences, Journal of Engineering and Technological Sciences, Journal of ICT Research and Applications and Journal of Visual Art and Design. The next process will be proceeded under new website at http://journals.itb.ac.id.

For detail information please contact us to: journal@lppm.itb.ac.id.

 
       
       
       ITB Journal Visitor Number #9594175       
       Jl. Tamansari 64, Bandung 40116, Indonesia Visitor IP Address #       
       Tel : +62-22-250 1759 ext. 121 © 2011 Institut Teknologi Bandung       
       Fax : +62-22-250 4010, +62-22-251 1215 XHTML + CSS + RSS       
       E-mail : journal@lppm.itb.ac.id or proceedings@lppm.itb.ac.id Developed by AVE