{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T08:31:31Z","timestamp":1781685091593,"version":"3.54.5"},"reference-count":84,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2015,7,7]],"date-time":"2015-07-07T00:00:00Z","timestamp":1436227200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2016,10]]},"DOI":"10.1007\/s00521-015-1977-x","type":"journal-article","created":{"date-parts":[[2015,7,6]],"date-time":"2015-07-06T06:26:43Z","timestamp":1436164003000},"page":"1831-1851","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Applications of type-2 fuzzy logic system: handling the uncertainty associated with candidate-well selection for hydraulic fracturing"],"prefix":"10.1007","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0709-1078","authenticated-orcid":false,"given":"Mansoor","family":"Zoveidavianpoor","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abdoullatif","family":"Gharibi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2015,7,7]]},"reference":[{"key":"1977_CR1","doi-asserted-by":"crossref","unstructured":"R\u00fcckheim J, Voigtlnder G, Khokhlov S (2005) The technical and economic challenge of \u201cmature gas fields\u201d: the giant Altmark field, a German example. Paper SPE 94406 presented at SPE Europec\/EAGE annual conference. Madrid, Spain","DOI":"10.2118\/94406-MS"},{"key":"1977_CR2","first-page":"51","volume":"2","author":"M Zoveidavianpoor","year":"2012","unstructured":"Zoveidavianpoor M, Samsuri A, Shadizadeh SR (2012) A review on conventional candidate-well selection for hydraulic fracturing in oil and gas wells. Int J Eng Technol 2:51\u201360","journal-title":"Int J Eng Technol"},{"key":"1977_CR3","unstructured":"Veatch RW Jr, Moschovidis ZA, Fast CR (1989) An overview of hydraulic fracturing, in recent advances in hydraulic fracturing. In: Gidley JL, Holditch SA, Nierode DE, Veatch RW Jr (eds) SPE Monograph vol 12, pp 1\u201338"},{"key":"1977_CR4","first-page":"92","volume":"35","author":"M Zoveidavianpoor","year":"2013","unstructured":"Zoveidavianpoor M, Samsuri A, Shadizadeh SR (2013) Well stimulation in carbonate reservoirs: the needs and superiority of hydraulic fracturing. Energy Resour A Recover Util Environ Eff 35:92\u201398","journal-title":"Energy Resour A Recover Util Environ Eff"},{"key":"1977_CR5","volume-title":"Engineering design reliability handbook","author":"E Nikolaidis","year":"2005","unstructured":"Nikolaidis E (2005) Types of uncertainty in design decision making. In: Nikolaidis E, Ghiocel DM, Singhal S (eds) Engineering design reliability handbook. CRC Press, New York"},{"key":"1977_CR6","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/j.petrol.2004.02.011","volume":"44","author":"S Subbey","year":"2004","unstructured":"Subbey S, Christiea M, Sambridge M (2004) Prediction under uncertainty in reservoir modelling. J Petrol Sci Eng 44:143\u2013153","journal-title":"J Petrol Sci Eng"},{"key":"1977_CR7","doi-asserted-by":"crossref","unstructured":"Christie M, Subbey S, Sambridge M (2002) Prediction under uncertainty in reservoir modeling. Presented in 8th European conference on the mathematics of oil recovery, Freiberg, September 3\u20136, pp 1\u20138","DOI":"10.3997\/2214-4609.201405961"},{"key":"1977_CR8","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511809682","volume-title":"Kernel methods for pattern analysis","author":"J Shawe-Taylor","year":"2004","unstructured":"Shawe-Taylor J, Cristianini N (2004) Kernel methods for pattern analysis. Cambridge University Press, Cambridge"},{"issue":"2","key":"1977_CR9","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1023\/A:1009715923555","volume":"2","author":"CJC Burges","year":"1998","unstructured":"Burges CJC (1998) A tutorial on support vector machines for pattern recognition. Data Min Knowl Disc 2(2):121\u2013167","journal-title":"Data Min Knowl Disc"},{"key":"1977_CR10","doi-asserted-by":"crossref","unstructured":"Suykens J (2009) Support vector machines and kernel-based learning for dynamical systems modelling. In: Proceedings of the 15th IFAC symposium on system identification, Saint-Malo, France","DOI":"10.3182\/20090706-3-FR-2004.00171"},{"key":"1977_CR11","doi-asserted-by":"crossref","unstructured":"Guoyness J, Squire K, Blauch M, Yeager V, Yater J, Wallace R, Frame R, Clark R (2000) Optimizing deliverability in five gas-storage reservoirs-case studies. Paper SPE 65636 presented at the SPE Eastern Regional Meeting. 17-19 October. Morganton, West","DOI":"10.2118\/65636-MS"},{"key":"1977_CR12","doi-asserted-by":"crossref","first-page":"36","DOI":"10.2118\/136757-PA","volume":"50","author":"MC Vincent","year":"2011","unstructured":"Vincent MC (2011) Restimulation of unconventional reservoirs: when are refracs beneficial? J Can Pet Technol 50:36\u201359","journal-title":"J Can Pet Technol"},{"key":"1977_CR13","unstructured":"Xiong H, Holditch SA (1993) Using a fuzzy expert system to choose target well and formations for stimulation. Paper presented at the conference on artificial intelligence in petroleum exploration and production. Dallas, USA"},{"key":"1977_CR14","doi-asserted-by":"crossref","unstructured":"Yang E (2009) Selection of target wells and layers for fracturing with fuzzy mathematics method. Paper presented at the sixth international conference on fuzzy systems and knowledge discovery, pp 366\u2013369","DOI":"10.1109\/FSKD.2009.808"},{"key":"1977_CR15","doi-asserted-by":"crossref","unstructured":"Yin D, Wu T (2009) Optimizing well for fracturing by fuzzy analysis method of applying computer. Paper presented at the 1st international conference on information science and engineering (ICISE), pp 286\u2013290","DOI":"10.1109\/ICISE.2009.814"},{"key":"1977_CR16","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1016\/S0019-9958(65)90241-X","volume":"8","author":"LA Zadeh","year":"1965","unstructured":"Zadeh LA (1965) Fuzzy sets. Inf Control 8:338\u2013353","journal-title":"Inf Control"},{"key":"1977_CR17","doi-asserted-by":"crossref","first-page":"312","DOI":"10.1016\/S0019-9958(76)80011-3","volume":"31","author":"M Mizumoto","year":"1976","unstructured":"Mizumoto M, Tanaka K (1976) Some properties of fuzzy sets of type-2. Inf Control 31:312\u2013340","journal-title":"Inf Control"},{"key":"1977_CR18","doi-asserted-by":"crossref","unstructured":"Mendel JM (2001) Uncertain rule-based fuzzy logic systems: introduction and new directions. (1st ed.). Prentice Hall, Upper-Saddle River, NJ","DOI":"10.1007\/978-3-319-51370-6_12"},{"key":"1977_CR19","doi-asserted-by":"crossref","first-page":"499","DOI":"10.1007\/s00521-012-0944-z","volume":"23","author":"R Singh","year":"2013","unstructured":"Singh R, Vishal V, Singh TN, Ranjith PG (2013) A comparative study of generalized regression neural network approach and adaptive neuro-fuzzy inference systems for prediction of unconfined compressive strength of rocks. Neural Comput Appl 23:499\u2013506","journal-title":"Neural Comput Appl"},{"key":"1977_CR20","doi-asserted-by":"crossref","first-page":"1685","DOI":"10.1007\/s00521-012-0817-5","volume":"22","author":"AK Verma","year":"2013","unstructured":"Verma AK, Singh TN (2013) A neuro-fuzzy approach for prediction of longitudinal wave velocity. Neural Comput Appl 22:1685\u20131693","journal-title":"Neural Comput Appl"},{"key":"1977_CR21","doi-asserted-by":"crossref","first-page":"1018","DOI":"10.1016\/j.scient.2012.06.010","volume":"19","author":"R Singh","year":"2012","unstructured":"Singh R, Vishal V, Singh TN (2012) Soft computing method for assessment of compressional wave velocity. Scientia Iranica 19:1018\u20131024","journal-title":"Scientia Iranica"},{"key":"1977_CR22","doi-asserted-by":"crossref","first-page":"40","DOI":"10.1016\/j.asoc.2011.09.010","volume":"12","author":"R Singh","year":"2012","unstructured":"Singh R, Kainthola A, Singh TN (2012) Estimation of elastic constant using an ANFIS approach. Appl Soft Comput 12:40\u201345","journal-title":"Appl Soft Comput"},{"key":"1977_CR23","unstructured":"Kreinovich V, Quintana C, Reznik L (1992) Gaussian membership functions are most adequate in representing uncertainty in measurements. In: Proceedings of the North American fuzzy information processing society conference, Puerto Vallarta, pp 618\u2013624"},{"key":"1977_CR24","doi-asserted-by":"crossref","unstructured":"Wu D (2012) Twelve considerations in choosing between Gaussian and Trapezoidal membership functions in interval type-2 fuzzy logic controllers, IEEE World Congress on Computational Intelligence, Brisbane, Australia","DOI":"10.1109\/FUZZ-IEEE.2012.6251210"},{"key":"1977_CR25","doi-asserted-by":"crossref","first-page":"1182","DOI":"10.1109\/TC.1977.1674779","volume":"26","author":"EH Mamdani","year":"1977","unstructured":"Mamdani EH (1977) Applications of fuzzy logic to approximate reasoning using linguistic synthesis. IEEE Trans Comput 26:1182\u20131191","journal-title":"IEEE Trans Comput"},{"key":"1977_CR26","unstructured":"Sugeno M (1977) Fuzzy measures and fuzzy integrals: a survey. In: Gupta MM, Saridis GN, Gaines BR (eds) Fuzzy automata and decision processes, North-Holland, New York, pp 89\u2013102"},{"key":"1977_CR27","doi-asserted-by":"crossref","unstructured":"Begian M, Melek W, Mendel J (2008) Stability analysis for type-2 fuzzy systems. In Proceedings IEEE international conference on fuzzy syst., Hong Kong, Jun. 1\u20136: 947\u2013953","DOI":"10.1109\/FUZZY.2008.4630483"},{"key":"1977_CR28","unstructured":"Shaw IS (1998) Fuzzy control of industrial systems: theory and applications. (Illustrated ed). Kluwer, Virginia"},{"key":"1977_CR29","doi-asserted-by":"crossref","unstructured":"Martin AN, Rylance M (2010) Hydraulic fracturing makes the difference: new life for old fields. Paper SPE 127743 presented at the north africa technical conference and exhibition. Cairo, Egypt","DOI":"10.2118\/127743-MS"},{"key":"1977_CR30","first-page":"69","volume":"10","author":"A Hamdi-Cherif","year":"2010","unstructured":"Hamdi-Cherif A (2010) Type-2 fuzzy control for bioinformatics-a systems approach. Int J Comput Sci Netw Secur 10:69\u201375","journal-title":"Int J Comput Sci Netw Secur"},{"key":"1977_CR31","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.csda.2006.04.029","volume":"51","author":"LA Zadeh","year":"2006","unstructured":"Zadeh LA (2006) Generalized theory of uncertainty (GTU)\u2014principal concepts and ideas. Comput Stat Data Anal 51:15\u201346","journal-title":"Comput Stat Data Anal"},{"issue":"5","key":"1977_CR32","doi-asserted-by":"crossref","first-page":"1169","DOI":"10.1007\/s00521-014-1604-2","volume":"25","author":"M Zoveidavianpoor","year":"2014","unstructured":"Zoveidavianpoor M (2014) A comparative study of artificial neural network and adaptive neuro fuzzy inference system for prediction of compressional wave velocity. Neural Comput Appl 25(5):1169\u20131176","journal-title":"Neural Comput Appl"},{"key":"1977_CR33","doi-asserted-by":"crossref","first-page":"371","DOI":"10.2118\/19738-PA","volume":"6","author":"AR Jennings","year":"1991","unstructured":"Jennings AR (1991) Goods wells make the best candidates for well stimulation. SPE Prod Eng 6:371\u2013376","journal-title":"SPE Prod Eng"},{"key":"1977_CR34","doi-asserted-by":"crossref","unstructured":"Green D, Seanard K, Martin AN (2006) Hydraulic fracturing of Miocene and Oligocene sandstones in the Taranaki basin, New Zealand. Paper SPE 101121 presented at the SPE Asia Pacific Oil & Gas conference and exhibition. Adelaide, Australia","DOI":"10.2118\/101121-MS"},{"key":"1977_CR35","unstructured":"Husen A, Hosein P, Ezzat A, Mahmoud K (2003) Hydraulic fracturing the best producer\u2014a myth? Paper SPE 81543 presented at the 13th middle east oil show and conference. Bahrain"},{"key":"1977_CR36","doi-asserted-by":"crossref","unstructured":"Sencenbaugh RN, Lytle DM, Birmingham TJ, Simmons JC, Shaefer MT (2001) Restimulation tight gas sand: case study of the Codell formation. Paper SPE 71045 presented at the SPE rocky mountain petroleum technology conference. Keystone, Colorado, USA","DOI":"10.2118\/71045-MS"},{"key":"1977_CR37","first-page":"4049","volume":"7","author":"M Zoveidavianpoor","year":"2012","unstructured":"Zoveidavianpoor M, Samsuri A, Shadizadeh SR (2012) Fuzzy logic in candidate-well selection for hydraulic fracturing in oil and gas wells: a critical review. Int J Phys Sci 7:4049\u20134060","journal-title":"Int J Phys Sci"},{"key":"1977_CR38","doi-asserted-by":"crossref","unstructured":"Widarsono B, Wong PM, Saptono F (2001) Estimation of rock dynamic elastic property profiles through a combination of soft computing acoustic velocity modeling and laboratory dynamic test on core samples. Paper SPE 68712 presented at SPE Asia Pacific oil and gas conference and exhibition, Jakarta, Indonesia","DOI":"10.2118\/68712-MS"},{"key":"1977_CR39","unstructured":"Zoveidavianpoor M, (2013). Candidate-well selection for hydraulic fracturing by fuzzy logic system in carbonate reservoirs. PhD Dissertation. Universiti Teknologi Malaysia"},{"key":"1977_CR40","first-page":"37","volume":"6","author":"SR Shadizadeh","year":"2009","unstructured":"Shadizadeh SR, Zoveidavianpoor M (2009) A successful experience in optimization of a production well in a southern iranian oil field. Iran J Chem Eng 6:37\u201349","journal-title":"Iran J Chem Eng"},{"key":"1977_CR41","unstructured":"Lynch C, Hagras H, Callaghan V (2006) Embedded interval type-2 neuro-fuzzy speed controller for marine diesel engines. In Proceedings of the IPMU, pp 1340\u20131347"},{"key":"1977_CR42","first-page":"237","volume":"14","author":"O Castillo","year":"2005","unstructured":"Castillo O, Melin P, Montiel O, Rodriguez-Diaz A, Sepulveda R (2005) Handling uncertainty in controllers using type-2 fuzzy logic. J Intell Syst 14:237\u2013262","journal-title":"J Intell Syst"},{"key":"1977_CR43","doi-asserted-by":"crossref","first-page":"2023","DOI":"10.1016\/j.ins.2006.10.004","volume":"177","author":"R Sep\u00falveda","year":"2007","unstructured":"Sep\u00falveda R, Castillo O, Melin P, Rodr\u00edguez-D\u00edaz A, Montiel O (2007) Experimental study of intelligent controllers under uncertainty using type-1 and type-2 fuzzy logic. Inf Sci 177:2023\u20132048","journal-title":"Inf Sci"},{"key":"1977_CR44","first-page":"771","volume":"4","author":"O Castillo","year":"2008","unstructured":"Castillo O, Melin P (2008) Intelligent systems with interval type-2 fuzzy logic. Int J Innov Comput Inform Control 4:771\u2013784","journal-title":"Int J Innov Comput Inform Control"},{"key":"1977_CR45","doi-asserted-by":"crossref","first-page":"1267","DOI":"10.1016\/j.asoc.2011.12.010","volume":"12","author":"O Castillo","year":"2012","unstructured":"Castillo O, Melin P (2012) A review on the design and optimization of interval type-2 fuzzy controllers. Appl Soft Comput 12:1267\u20131278","journal-title":"Appl Soft Comput"},{"key":"1977_CR46","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-540-76284-3","volume-title":"Type-2 fuzzy logic: theory and applications","author":"O Castillo","year":"2008","unstructured":"Castillo O, Melin P (2008) Type-2 fuzzy logic: theory and applications. Springer, Heidelberg"},{"key":"1977_CR47","doi-asserted-by":"crossref","unstructured":"Benatar N, Aickelin U, Garibaldi JM (2012) An investigation into the relationship between type-2 FOU size and environmental uncertainty in robotic control. In: IEEE international conference on fuzzy systems, art. no. 6251257","DOI":"10.1109\/FUZZ-IEEE.2012.6251257"},{"key":"1977_CR48","doi-asserted-by":"crossref","first-page":"1371","DOI":"10.1109\/TIE.2010.2049718","volume":"58","author":"M Biglarbegian","year":"2011","unstructured":"Biglarbegian M, Melek WW, Mendel JM (2011) Design of novel interval type-2 fuzzy controllers for modular and reconfigurable robots: theory and experiments. IEEE Trans Industr Electron 58:1371\u20131384","journal-title":"IEEE Trans Industr Electron"},{"key":"1977_CR49","doi-asserted-by":"crossref","first-page":"1274","DOI":"10.1016\/j.asoc.2007.02.021","volume":"8","author":"O Castillo","year":"2008","unstructured":"Castillo O, Aguilar LT, Cazarez-Castro NR, Cardenas S (2008) Systematic design of a stable type-2 fuzzy logic controller. Appl Soft Comput J 8:1274\u20131279","journal-title":"Appl Soft Comput J"},{"key":"1977_CR50","doi-asserted-by":"crossref","first-page":"19","DOI":"10.1016\/j.ins.2010.02.022","volume":"192","author":"O Castillo","year":"2012","unstructured":"Castillo O, Martinez-Marroquin R, Melin P, Valdez F, Soria J (2012) Comparative study of bio-inspired algorithms applied to the optimization of type-1 and type-2 fuzzy controllers for an autonomous mobile robot. Inf Sci 192:19\u201338","journal-title":"Inf Sci"},{"key":"1977_CR51","doi-asserted-by":"crossref","first-page":"1145","DOI":"10.1007\/s00500-010-0588-9","volume":"15","author":"O Castillo","year":"2011","unstructured":"Castillo O, Melin P, Alanis A, Montiel O, Sepulveda R (2011) Optimization of interval type-2 fuzzy logic controllers using evolutionary algorithms. J Soft Comput 15:1145\u20131160","journal-title":"J Soft Comput"},{"key":"1977_CR52","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.1016\/j.eswa.2010.07.131","volume":"38","author":"Z Bing\u00fcl","year":"2011","unstructured":"Bing\u00fcl Z, Karahan OA (2011) Fuzzy Logic Controller tuned with PSO for 2 DOF robot trajectory control. Expert Syst Appl 38:1017\u20131031","journal-title":"Expert Syst Appl"},{"key":"1977_CR53","first-page":"491","volume":"8","author":"S Boulkhrachef","year":"2012","unstructured":"Boulkhrachef S, Berkouk EM, Barkat S, Benkhoris MF (2012) Self-voltage balancing for the five-level back-to-back converter using multilevel DTC and type-2 fuzzy logic controller. Mediterr J Meas Control 8:491\u2013506","journal-title":"Mediterr J Meas Control"},{"key":"1977_CR54","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1007\/978-3-540-72432-2_8","volume":"41","author":"O Castillo","year":"2007","unstructured":"Castillo O, Martinez AI, Martinez AC (2007) Evolutionary computing for topology optimization of type-2 fuzzy systems. Adv Soft Comput 41:63\u201375","journal-title":"Adv Soft Comput"},{"key":"1977_CR55","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1007\/978-3-540-37421-3_10","volume":"208","author":"O Castillo","year":"2008","unstructured":"Castillo O, Huesca G, Valdez F (2008) Evolutionary computing for topology optimization of type-2 fuzzy controllers. Stud Fuzzin Soft Comput 208:163\u2013178","journal-title":"Stud Fuzzin Soft Comput"},{"key":"1977_CR56","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1007\/978-3-540-72432-2_7","volume":"41","author":"JR Castro","year":"2007","unstructured":"Castro JR, Castillo O, Melin P, Martinez LG, Escobar S, Camacho I (2007) Building fuzzy inference systems with the interval type-2 fuzzy logic toolbox. Adv Soft Comput 41:53\u201362","journal-title":"Adv Soft Comput"},{"key":"1977_CR57","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.compind.2010.10.006","volume":"62","author":"T Dereli","year":"2011","unstructured":"Dereli T, Bavkasoglu A, Durmusoglu A, Turksen IB (2011) Industrial applications of type-2 fuzzy sets and systems: a concise review. Comput Ind 62:125\u2013137","journal-title":"Comput Ind"},{"key":"1977_CR58","doi-asserted-by":"crossref","unstructured":"Castillo O (2012) Interval type-2 Mamdani fuzzy systems for intelligent control. Combining experimentation and theory, pp 163\u2013177","DOI":"10.1007\/978-3-642-28956-9"},{"key":"1977_CR59","unstructured":"MathWorks, Inc, Wei-Cheng Wang (1998) Fuzzy logic toolbox: for use with MATLAB: user\u2019s guide. MathWorks, Incorporated"},{"key":"1977_CR60","first-page":"104","volume-title":"Building fuzzy inference systems with a new interval type-2 fuzzy logic toolbox. Transactions on computational science I","author":"J Castro","year":"2008","unstructured":"Castro J, Castillo O, Melin P, Rodr\u00edguez-D\u00edaz A (2008) Building fuzzy inference systems with a new interval type-2 fuzzy logic toolbox. Transactions on computational science I. Springer, Berlin, pp 104\u2013114"},{"key":"1977_CR61","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/S0920-4105(01)00140-1","volume":"31","author":"MM Rahman","year":"2001","unstructured":"Rahman MM, Rahman MK, Rahman SS (2001) An integrated model for multiobjective design optimization of hydraulic fracturing. J Petrol Sci Eng 31:41\u201362","journal-title":"J Petrol Sci Eng"},{"key":"1977_CR62","unstructured":"Howard GC, Fast CR (1970) Hydraulic fracturing, monograph vol 2, Society of Petroleum Engineers of AIME, New York"},{"key":"1977_CR63","doi-asserted-by":"crossref","unstructured":"Bailey DE, Wickham JF (1984) Sand fracturing vs. fracture acidizing. Paper SPE 12898 presented at the SPE rocky mountain regional meeting, 21\u201323 May. Casper, Wyoming, USA","DOI":"10.2118\/12898-MS"},{"key":"1977_CR64","doi-asserted-by":"crossref","unstructured":"Bustin B, Sierra L (2009) First regional selective packerless acid fracture stimulation with coiled tubing: a documented case history from Saudi Arabia, SPE paper 120938, presented at the SPE\/ICoTA coiled tubing and well intervention conference and exhibition. Woodlands, Texas, USA","DOI":"10.2118\/120938-MS"},{"key":"1977_CR65","unstructured":"Smith MB (2006) Hydraulic fracturing: the multidisciplinary technology. Paper SPE 108827, distinguished lecturer presentation"},{"key":"1977_CR66","doi-asserted-by":"crossref","unstructured":"Moore LP, Ramakrishnan H (2006) Restimulation: candidate selection methodologies and treatment optimization. Paper SPE 102681 presented at the SPE annual technical conference and exhibition, 24\u201327 September. San Antonio, Texas, USA","DOI":"10.2118\/102681-MS"},{"key":"1977_CR67","unstructured":"Shadizadeh SR, Habibnia BA, Syllabee R (2009) Investigation and selection of suitable layers in bangestan reservoir for hydraulic fracturing operation. Sci Iran Trans C: Chem Chem Eng 16(2):149\u2013160"},{"key":"1977_CR68","doi-asserted-by":"crossref","unstructured":"Hashemi A, Shadizadeh SR, Zoveidavianpoor M (2012) A local computerized multi-screening of vast amount of data to select hydraulic fracturing candidates in Iranian carbonate oil fields. Int J Comput Appl 39(8):37\u201345","DOI":"10.5120\/4842-7106"},{"key":"1977_CR69","doi-asserted-by":"crossref","unstructured":"Krasey R (1988) High-grading fracture candidate selection. J Can Pet Technol 27(4):6","DOI":"10.2118\/88-04-03"},{"key":"1977_CR70","doi-asserted-by":"crossref","unstructured":"Crowell RF, Jennings AR (1978) A diagnostic technique for re-stimulation candidate selection. Paper SPE 7556 presented at the SPE annual fall technical conference and exhibition, 1\u20133 October. Houston, Texas, USA","DOI":"10.2118\/7556-MS"},{"key":"1977_CR71","unstructured":"Economides MJ, Nolte KG (2000) Reservoir stimulation. 3rd edn. Wiley, Chichester, England, UK"},{"key":"1977_CR72","doi-asserted-by":"crossref","unstructured":"Lantz T, Greene D, Eberhard M, Norrid S, Pershall R (2007) Refracture treatments proving successful in horizontal Bakken Wells: Richland County, Montana, paper SPE 108117 presented at the rocky mountain oil and gas technology symposium. 16\u201318 April. Denver, USA","DOI":"10.2118\/108117-MS"},{"key":"1977_CR73","doi-asserted-by":"crossref","unstructured":"Sinha S, Ramakrishnan H (2011) A novel screening method for selection of horizontal refracturing candidates in shale gas reservoirs. Paper SPE 144032 presented at the SPE North American unconventional gas conference and exhibition. 14\u201316 June. The Woodlands, Texas, USA","DOI":"10.2118\/144032-MS"},{"key":"1977_CR74","doi-asserted-by":"crossref","unstructured":"Reeves SR, Bastian PA, Spivey JP, Flumerfelt RW, Mohaghegh S, Koperna GJ (2000) Benchmarking of restimulation candidate selection techniques in layered, tight gas sand formations using reservoir stimulation. Paper SPE 63096 presented at the SPE annual technical conference and exhibition. 1\u20134 October. Dallas, Texas, USA","DOI":"10.2118\/63096-MS"},{"key":"1977_CR75","doi-asserted-by":"crossref","unstructured":"Shelley RF (1999) Artificial neural networks identify restimulation candidates in the Red Oak Field. Paper SPE 52190 presented at the SPE mid-continent operations symposium. 28\u201331 March. Oklahoma City, Oklahoma, USA","DOI":"10.2118\/52190-MS"},{"key":"1977_CR76","doi-asserted-by":"crossref","unstructured":"McVey DS, Mohaghegh S, Aminian K, Ameri S (1996) Identification of parameters influencing the response of gas storage wells to hydraulic fracturing with the aid of a neural network. SPE Comput Appl 8(2):54\u201358","DOI":"10.2118\/29159-PA"},{"key":"1977_CR77","doi-asserted-by":"crossref","unstructured":"Reeves SR, Hill DG, Hopkins CW, Conway MW, Tiner RL, Mohaghegh S (1999) Restimulation technology for tight gas sand wells. Paper SPE 57492 presented at the SPE annual technical conference and exhibition, 3\u20136 October. Houston, Texas, USA","DOI":"10.2118\/56482-MS"},{"key":"1977_CR78","doi-asserted-by":"crossref","unstructured":"Malik K, Mohaghegh S, Gaskari R (2006) An intelligent portfolio-management approach to gas storage field deliverability maintenance and enhancement: part one- database development and model building. Paper SPE 104571 presented at the SPE eastern regional meeting, 11\u201313 October. Canton, Ohio, USA","DOI":"10.2118\/104571-MS"},{"key":"1977_CR79","unstructured":"East L, Craig D (2006) Refracs reverse production dips: single- and multiple-zone wells wee output gains after refracturing. E&P Mag 79(11):45\u201347"},{"key":"1977_CR80","doi-asserted-by":"crossref","unstructured":"Emrich E, Shaw D, Reasoner S, Ponto D (2001) Codell restimulation evolve to 200% rate of return. Paper SPE 67211 presented at the SPE production and operations symposium, 24\u201327 March. Oklahoma City, Oklahoma, USA","DOI":"10.2118\/67211-MS"},{"key":"1977_CR81","unstructured":"Economides MJ, Martin T (2007) Modern fracturing: enhancing natural gas production. 1st edn. ET Publication, Huston"},{"key":"1977_CR82","doi-asserted-by":"crossref","unstructured":"Mohaghegh S, Reeves S, Hill D (2000) Development of an intelligent system approach for restimulation candidate selection. Paper SPE 59767 presented at the SPE\/CERI gas technology symposium, 3\u20135 April. Calgary, Canada","DOI":"10.2118\/59767-MS"},{"key":"1977_CR83","doi-asserted-by":"crossref","unstructured":"Oberwinkler C, Economides M (2003) The definite identification of candidate wells for refracturing. Paper SPE 84211 presented at the SPE annual technical conference and exhibition, 5\u20138 October 2003. Denver, Colorado, USA","DOI":"10.2118\/84211-MS"},{"key":"1977_CR84","doi-asserted-by":"crossref","unstructured":"Grieser B, Shelley B, Johnson BJ, Fielder EO, Heinze JR, Werline JR (2008) Data analysis of barnett shale completions. SPE J 13(3):366\u2013374","DOI":"10.2118\/100674-PA"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-015-1977-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-015-1977-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-015-1977-x","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,4]],"date-time":"2020-09-04T17:18:17Z","timestamp":1599239897000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-015-1977-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,7,7]]},"references-count":84,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2016,10]]}},"alternative-id":["1977"],"URL":"https:\/\/doi.org\/10.1007\/s00521-015-1977-x","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,7,7]]}}}