{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T11:52:25Z","timestamp":1787313145327,"version":"build-2736575974"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2017,10,17]],"date-time":"2017-10-17T00:00:00Z","timestamp":1508198400000},"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":[[2019,7]]},"DOI":"10.1007\/s00521-017-3208-0","type":"journal-article","created":{"date-parts":[[2017,10,16]],"date-time":"2017-10-16T23:48:12Z","timestamp":1508197692000},"page":"2485-2494","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["New predictive method for estimation of natural gas hydrate formation temperature using genetic programming"],"prefix":"10.1007","volume":"31","author":[{"given":"Danial","family":"Abooali","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ehsan","family":"Khamehchi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2017,10,17]]},"reference":[{"key":"3208_CR1","volume-title":"Clathrates hydrates of natural gas","author":"ED Sloan","year":"2008","unstructured":"Sloan ED, Koh CA (2008) Clathrates hydrates of natural gas, 3rd edn. Taylor & Francis group, Boca Raton","edition":"3"},{"key":"3208_CR2","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1680\/geot.2005.55.6.423","volume":"55","author":"CR Clayton","year":"2005","unstructured":"Clayton CR, Priest JA, Best AI (2005) The effects of disseminated methane hydrate on the dynamic stiffness and damping of a sand. Geotechnique 55:423\u2013434","journal-title":"Geotechnique"},{"key":"3208_CR3","doi-asserted-by":"publisher","first-page":"RG4003","DOI":"10.1029\/2008RG000279","volume":"47","author":"WF Waite","year":"2009","unstructured":"Waite WF, Santamarina JC, Cortes DD, Dugan B, Espinoza DN, Germaine J, Jang J, Jung JW, Kneafsey TJ, Shin H, Soga K (2009) Physical properties of hydrate-bearing sediments. Rev Geophys 47:RG4003","journal-title":"Rev Geophys"},{"key":"3208_CR4","doi-asserted-by":"publisher","first-page":"851","DOI":"10.1021\/ie50296a010","volume":"26","author":"EG Hammerschmidt","year":"1934","unstructured":"Hammerschmidt EG (1934) Formation of gas hydrates in natural gas transmission lines. Ind Eng Chem 26:851\u2013855","journal-title":"Ind Eng Chem"},{"key":"3208_CR5","doi-asserted-by":"publisher","first-page":"662","DOI":"10.1021\/ie50377a027","volume":"33","author":"WI Wilcox","year":"1941","unstructured":"Wilcox WI, Carson DB, Katz DL (1941) Natural gas hydrates. Ind Eng Chem 33:662\u2013665","journal-title":"Ind Eng Chem"},{"key":"3208_CR6","doi-asserted-by":"publisher","first-page":"140","DOI":"10.2118\/945140-G","volume":"160","author":"DL Katz","year":"1944","unstructured":"Katz DL (1944) Predictions of conditions for hydrate formation in natural gases. Trans AIME 160:140\u2013144","journal-title":"Trans AIME"},{"key":"3208_CR7","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1016\/j.fluid.2014.07.012","volume":"379","author":"S Shahnazar","year":"2014","unstructured":"Shahnazar S, Hasan N (2014) Gas hydrate formation condition: review on experimental and modeling approaches. Fluid Phase Equilib 379:72\u201385","journal-title":"Fluid Phase Equilib"},{"key":"3208_CR8","volume-title":"Hydrates of natural gas","author":"Y Makogon","year":"1981","unstructured":"Makogon Y (1981) Hydrates of natural gas. Penn Well Publishing Company, Tulsa"},{"key":"3208_CR9","doi-asserted-by":"crossref","unstructured":"Berge BK (1986) Hydrate prediction on a microcomputer. In: SPE 15306, presented at the society of petroleum engineers symposium on petroleum industry applications. Colorado, USA, Silvercreek, 18\u201320 June","DOI":"10.2118\/15306-MS"},{"key":"3208_CR10","volume-title":"Petroleum engineering handbook","author":"R Kobayashi","year":"1987","unstructured":"Kobayashi R, Song K, Sloan E (1987) Phase behavior of water\/hydrocarbon systems. In: Bradley HB, Gipson Fred W (eds) Petroleum engineering handbook. Society of Petroleum Engineers, Richardson"},{"key":"3208_CR11","first-page":"98","volume":"70","author":"M Motiee","year":"1991","unstructured":"Motiee M (1991) Estimate possibility of hydrate. Hydrocarb Process 70:98\u201399","journal-title":"Hydrocarb Process"},{"key":"3208_CR12","first-page":"61","volume":"84","author":"BF Towler","year":"2005","unstructured":"Towler BF, Mokhatab S (2005) Quickly estimate hydrate formation conditions in natural gases. Hydrocarb Process 84:61\u201362","journal-title":"Hydrocarb Process"},{"key":"3208_CR13","doi-asserted-by":"publisher","first-page":"453","DOI":"10.1016\/S1003-9953(08)60143-7","volume":"18","author":"A Bahadori","year":"2009","unstructured":"Bahadori A, Vuthaluru HB (2009) A novel correlation for estimation of hydrate forming condition of natural gases. J Nat Gas Chem 18:453\u2013457","journal-title":"J Nat Gas Chem"},{"key":"3208_CR14","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/S1003-9953(07)60020-6","volume":"16","author":"A Bahadori","year":"2007","unstructured":"Bahadori A (2007) A numerical approach for multicomponent vapor solid equilibrium calculations in gas hydrate formation. J Nat Gas Chem 16:16\u201321","journal-title":"J Nat Gas Chem"},{"key":"3208_CR15","doi-asserted-by":"publisher","first-page":"2052","DOI":"10.1016\/j.enconman.2009.04.005","volume":"50","author":"G Zahedi","year":"2009","unstructured":"Zahedi G, Karami Z, Yaghoobi H (2009) Prediction of hydrate formation temperature by both statistical models and artificial neural network approaches. Energy Convers Manage 50:2052\u20132059","journal-title":"Energy Convers Manage"},{"key":"3208_CR16","doi-asserted-by":"publisher","first-page":"508","DOI":"10.1016\/S1003-9953(11)60398-8","volume":"21","author":"MM Ghiasi","year":"2012","unstructured":"Ghiasi MM (2012) Initial estimation of hydrate formation temperature of sweet natural gases based on new empirical correlation. J Nat Gas Chem 21:508\u2013512","journal-title":"J Nat Gas Chem"},{"key":"3208_CR17","first-page":"41","volume":"1","author":"E Khamehchi","year":"2013","unstructured":"Khamehchi E, Shamohammadi E, Yousefi H (2013) Predicting the hydrate formation temperature by a new correlation and neural network. Gas Process J 1:41\u201350","journal-title":"Gas Process J"},{"key":"3208_CR18","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1016\/j.jngse.2014.08.003","volume":"21","author":"MA Ghayyem","year":"2014","unstructured":"Ghayyem MA, Izadmehr M, Tavakoli R (2014) Developing a simple and accurate correlation for initial estimation of hydrate formation temperature of sweet natural gases using an eclectic approach. J Nat Gas Sci Eng 21:184\u2013192","journal-title":"J Nat Gas Sci Eng"},{"key":"3208_CR19","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1016\/j.jngse.2014.03.012","volume":"18","author":"H Riazi","year":"2014","unstructured":"Riazi H, Heydari H, Ahmadpour E, Gholami A, Parvizi S (2014) Development of novel correlation for prediction of hydrate formation temperature based on intelligent optimization algorithms. J Nat Gas Sci Eng 18:377\u2013384","journal-title":"J Nat Gas Sci Eng"},{"key":"3208_CR20","doi-asserted-by":"publisher","first-page":"1025","DOI":"10.1016\/j.jngse.2014.11.006","volume":"21","author":"D Abooali","year":"2014","unstructured":"Abooali D, Khamehchi E (2014) Estimation of dynamic viscosity of natural gas based on genetic programming methodology. J Nat Gas Sci Eng 21:1025\u20131031","journal-title":"J Nat Gas Sci Eng"},{"key":"3208_CR21","doi-asserted-by":"publisher","first-page":"1083","DOI":"10.1590\/0104-6632.20160334s20150374","volume":"33","author":"D Abooali","year":"2016","unstructured":"Abooali D, Khamehchi E (2016) Toward predictive models for estimation of bubble-point pressure and formation volume factor of crude oil using an intelligent approach. Braz J Chem Eng 33:1083\u20131090","journal-title":"Braz J Chem Eng"},{"key":"3208_CR22","doi-asserted-by":"publisher","first-page":"657","DOI":"10.1007\/s00521-009-0317-4","volume":"19","author":"AF Cabalar","year":"2010","unstructured":"Cabalar AF, Cevik A, Guzelbey IH (2010) Constitutive modeling of Leighton Buzzard Sands using genetic programming. Neural Comput Appl 19:657\u2013665","journal-title":"Neural Comput Appl"},{"key":"3208_CR23","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1016\/j.cherd.2012.08.010","volume":"91","author":"M Ghavipour","year":"2013","unstructured":"Ghavipour M, Ghavipour M, Chitsazan M, Najibi SH, Shiry Ghidary S (2013) Experimental study of natural gas hydrates and a novel use of neural network to predict hydrate formation conditions. Chem Eng Res Des 91:264\u2013273","journal-title":"Chem Eng Res Des"},{"key":"3208_CR24","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1016\/S0378-3812(97)00141-6","volume":"139","author":"J Nixdorf","year":"1997","unstructured":"Nixdorf J, Oellrich LR (1997) Experimental determination of hydrate equilibrium conditions for pure gases, binary and ternary mixtures and natural gases. Fluid Phase Equilib 139:325\u2013333","journal-title":"Fluid Phase Equilib"},{"key":"3208_CR25","volume-title":"Genetic programming","author":"J Koza","year":"1992","unstructured":"Koza J (1992) Genetic programming. Massachusetts Institute of Technology, New York"},{"key":"3208_CR26","unstructured":"Searson DP, Leahy DE, Willis MJ (2010) GPTIPS: an open source genetic programming toolbox for multigene symbolic regression. In: IMECS, 17\u201319 March, Hong Kong"},{"key":"3208_CR27","unstructured":"Searson DP (2009) GPTIPS: Genetic programming and symbolic regression for MATLAB. User Guide"},{"key":"3208_CR28","doi-asserted-by":"publisher","first-page":"1889","DOI":"10.3923\/jas.2009.1889.1897","volume":"9","author":"E Khamehchi","year":"2009","unstructured":"Khamehchi E, Rashidi F, Omranpour H, Shiry Ghidary S, Ebrahimian A, Rasouli H (2009) Intelligent system for continuous gas lift operation and design with unlimited gas supply. J Appl Sci 9:1889\u20131897","journal-title":"J Appl Sci"},{"key":"3208_CR29","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1016\/j.petrol.2014.07.033","volume":"123","author":"E Khamehchi","year":"2014","unstructured":"Khamehchi E, Rahimzadeh Kivi I, Akbari M (2014) A novel approach to sand production prediction using artificial intelligence. J Petrol Sci Eng 123:147\u2013154","journal-title":"J Petrol Sci Eng"},{"key":"3208_CR30","unstructured":"CSMHYD open source program. \n                    http:\/\/hydrates.mines.edu\/CHR\/Software.html"},{"key":"3208_CR31","unstructured":"Jager MD, Sloan ED (2002) Structural transition of clathrate hydrates formed from a natural gas. In: Fourth international conference on gas hydrates, Yokohama, Japan, 19\u201323 May, pp 575\u2013579"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-017-3208-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-017-3208-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-017-3208-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,1]],"date-time":"2019-08-01T13:28:39Z","timestamp":1564666119000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-017-3208-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10,17]]},"references-count":31,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2019,7]]}},"alternative-id":["3208"],"URL":"https:\/\/doi.org\/10.1007\/s00521-017-3208-0","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,10,17]]},"assertion":[{"value":"28 November 2015","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 October 2017","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 October 2017","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}