Well-Placement Optimization in an Enhanced Geothermal System Based on the Fracture Continuum Method and 0-1 Programming

Liming Zhang, Zekun Deng, Kai Zhang, Tao Long, Joshua Kwesi Desbordes, Hai Sun and Yongfei Yang
Additional contact information
Liming Zhang: School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China
Zekun Deng: School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China
Kai Zhang: School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China
Tao Long: School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China
Joshua Kwesi Desbordes: School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China
Hai Sun: School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China
Yongfei Yang: School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, China

Energies, 2019, vol. 12, issue 4, 1-20

Abstract: The well-placement of an enhanced geothermal system (EGS) is significant to its performance and economic viability because of the fractures in the thermal reservoir and the expensive cost of well-drilling. In this work, a numerical simulation and genetic algorithm are combined to search for the optimization of the well-placement for an EGS, considering the uneven distribution of fractures. The fracture continuum method is used to simplify the seepage in the fractured reservoir to reduce the computational expense of a numerical simulation. In order to reduce the potential well-placements, the well-placement optimization problem is regarded as a 0-1 programming problem. A 2-D assumptive thermal reservoir model is used to verify the validity of the optimization method. The results indicate that the well-placement optimization proposed in this paper can improve the performance of an EGS.

Keywords: enhanced geothermal system; well-placement optimization; fracture continuum method; 0-1 programming (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/12/4/709/pdf (application/pdf)
https://www.mdpi.com/1996-1073/12/4/709/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:12:y:2019:i:4:p:709-:d:208042

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().