Scientific Research An Academic Publisher
OPEN ACCESS
Add your e-mail address to receive free newsletters from SCIRP.
Select Journal AA AAD AAR AASoci AAST ABB ABC ABCR ACES ACS ACT AD ADR AE AER AHS AID AiM AIT AJAC AJC AJCC AJCM AJIBM AJMB AJOR AJPS ALAMT ALC ALS AM AMI AMPC ANP APD APE APM ARS ARSci AS ASM BLR CC CE CellBio ChnStd CM CMB CN CRCM CS CSTA CUS CWEEE Detection EMAE ENG EPE ETSN FMAR FNS GEP GIS GM Graphene GSC Health IB ICA IIM IJAA IJAMSC IJCCE IJCM IJCNS IJG IJIDS IJIS IJMNTA IJMPCERO IJNM IJOC IJOHNS InfraMatics JACEN JAMP JASMI JBBS JBCPR JBiSE JBM JBNB JBPC JCC JCDSA JCPT JCT JDAIP JDM JEAS JECTC JEMAA JEP JFCMV JFRM JGIS JHEPGC JHRSS JIBTVA JILSA JIS JMF JMGBND JMMCE JMP JPEE JQIS JSBS JSEA JSEMAT JSIP JSS JSSM JST JTR JTST JTTs JWARP LCE MC ME MI MME MNSMS MPS MR MRC MRI MSA MSCE NJGC NM NR NS OALib OALibJ ODEM OJA OJAB OJAcct OJAnes OJAP OJApo OJAppS OJAPr OJAS OJBD OJBIPHY OJBM OJC OJCB OJCD OJCE OJCM OJD OJDer OJDM OJE OJEE OJEM OJEMD OJEpi OJER OJF OJFD OJG OJGas OJGen OJI OJIC OJIM OJINM OJL OJM OJMC OJMetal OJMH OJMI OJMIP OJML OJMM OJMN OJMP OJMS OJMSi OJN OJNeph OJO OJOG OJOGas OJOp OJOph OJOPM OJOTS OJPathology OJPC OJPChem OJPed OJPM OJPP OJPS OJPsych OJRA OJRad OJRD OJRM OJS OJSS OJSST OJST OJSTA OJTR OJTS OJU OJVM OPJ POS PP PST PSYCH SAR SCD SGRE SM SN SNL Soft SS TEL TI UOAJ VP WET WJA WJCD WJCMP WJCS WJET WJM WJNS WJNSE WJNST WJV WSN YM
More>>
Bangerth, W., Klie, H., Wheeler, M.F., Stoffa, P.L. and Sen, M.K. (2006) On Optimization Algorithms for the Reservoir Oil Well Placement Problem. Computational Geosciences, 10, 303-319. http://dx.doi.org/10.1007/s10596-006-9025-7
has been cited by the following article:
TITLE: A Computational Comparison between Optimization Techniques for Wells Placement Problem: Mathematical Formulations, Genetic Algorithms and Very Fast Simulated Annealing
AUTHORS: Ghazi D. AlQahtani, Ahmed Alzahabi, Timothy Spinner, Mohamed Y. Soliman
KEYWORDS: Wells Placement Optimization Integer Programming Simulated Annealing Genetic Algorithm
JOURNAL NAME: Journal of Materials Science and Chemical Engineering, Vol.2 No.10, October 28, 2014
ABSTRACT: This study considers several computational techniques for solving one formulation of the wells placement problem (WPP). Usually the wells placement problem is tackled through the combined efforts of many teams using conventional approaches, which include gathering seismic data, conducting real-time surveys, and performing production interpretations in order to define the sweet spots. This work considers one formulation of the wells placement problem in heterogeneous reservoirs with constraints on inter-well spacing. The performance of three different types of algorithms for optimizing the well placement problem is compared. These three techniques are: genetic algorithm, simulated annealing, and mixed integer programming (IP). Example case studies show that integer programming is the best approach in terms of reaching the global optimum. However, in many cases, the other approaches can often reach a close to optimal solution with much more computational efficiency.
Related Articles:
Well Placement Optimization Using a Basic Genetic Search Heuristics Algorithm and a Black Oil Simulator
Charles Y. Onuh, David Alaigba, Oluwatosin J. Rotimi, Bamidele T. Arowolo
DOI: 10.4236/ojogas.2017.24017 379 Downloads 705 Views Citations
Pub. Date: October 30, 2017
Algorithms for the Optimization of Well Placements—A Comparative Study
Stella Unwana Udoeyop, Innocent Oseribho Oboh, Maurice Oscar Afiakinye
DOI: 10.4236/aces.2018.82007 318 Downloads 529 Views Citations
Pub. Date: April 26, 2018
A Comparison between Evolutionary Metaheuristics and Mathematical Optimization to Solve the Wells Placement Problem
Ghazi AlQahtani, Ahmed Alzahabi, Ernee Kozyreff, Ismael R. de Jr. Farias, Mohamed Soliman
DOI: 10.4236/aces.2013.34A1005 2,977 Downloads 4,721 Views Citations
Pub. Date: October 25, 2013
New Regularization Algorithms for Solving the Deconvolution Problem in Well Test Data Interpretation
Vladimir Vasin, Georgy Skorik, Evgeny Pimonov, Fikri Kuchuk
DOI: 10.4236/am.2010.15051 5,121 Downloads 10,480 Views Citations
Pub. Date: November 30, 2010
Study on Rational Well Spacing Optimization of Low Permeability Gas Reservoir
Jian-guo Zhang, Yong Wu, Fang Ai
DOI: 10.4236/ampc.2012.24B045 4,741 Downloads 6,328 Views Citations
Pub. Date: January 16, 2013