{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:42:09Z","timestamp":1740134529744,"version":"3.37.3"},"reference-count":11,"publisher":"Wiley","license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51375520","cstc2013jcyA40044","CK2011B06","CK2013Z11"],"award-info":[{"award-number":["51375520","cstc2013jcyA40044","CK2011B06","CK2013Z11"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Chongqing National Science Foundation","award":["51375520","cstc2013jcyA40044","CK2011B06","CK2013Z11"],"award-info":[{"award-number":["51375520","cstc2013jcyA40044","CK2011B06","CK2013Z11"]}]},{"DOI":"10.13039\/501100002369","name":"Chongqing University","doi-asserted-by":"publisher","award":["51375520","cstc2013jcyA40044","CK2011B06","CK2013Z11"],"award-info":[{"award-number":["51375520","cstc2013jcyA40044","CK2011B06","CK2013Z11"]}],"id":[{"id":"10.13039\/501100002369","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002369","name":"Chongqing University","doi-asserted-by":"publisher","award":["51375520","cstc2013jcyA40044","CK2011B06","CK2013Z11"],"award-info":[{"award-number":["51375520","cstc2013jcyA40044","CK2011B06","CK2013Z11"]}],"id":[{"id":"10.13039\/501100002369","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Applied Mathematics"],"published-print":{"date-parts":[[2014]]},"abstract":"<jats:p>Beam pumping system which is widely used in petroleum enterprises of China is one of the most energy-consuming equipment. It is difficult to be modeled and optimized due to its complication and nonlinearity. To address this issue, a novel intelligent computing based method is proposed in this paper. It firstly employs the general regression neural network (GRNN) algorithm to obtain the best model of the beam pumping system, and secondly searches the optimal operation parameters with improved strength Pareto evolutionary algorithm (SPEA2). The inputs of GRNN include the number of punching, the maximum load, the minimum load, the effective stroke, and the computational pump efficiency, while the outputs are the electric power consumption and the oil yield. Experimental results show that there is good overlap between model estimations and unseen data. Then sixty-one sets of optimum parameters are found based on the obtained model. Also, the results show that, under the optimum parameters, more than 5.34% oil yield is obtained and more than 3.75% of electric power consumption is saved.<\/jats:p>","DOI":"10.1155\/2014\/317130","type":"journal-article","created":{"date-parts":[[2014,4,14]],"date-time":"2014-04-14T17:02:46Z","timestamp":1397494966000},"page":"1-7","source":"Crossref","is-referenced-by-count":3,"title":["Modeling and Optimization of Beam Pumping System Based on Intelligent Computing for Energy Saving"],"prefix":"10.1155","volume":"2014","author":[{"given":"Xiaohua","family":"Gu","sequence":"first","affiliation":[{"name":"Department of Electrical and Information Engineering, Chongqing University of Science and Technology, Chongqing 401331, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Taifu","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Electrical and Information Engineering, Chongqing University of Science and Technology, Chongqing 401331, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiqiang","family":"Liao","sequence":"additional","affiliation":[{"name":"College of Electronic Engineering, Xi\u2019an Shiyou University, Xi\u2019an 710065, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liping","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ling","family":"Nie","sequence":"additional","affiliation":[{"name":"Department of Electrical and Information Engineering, Chongqing University of Science and Technology, Chongqing 401331, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"issue":"3","key":"1","first-page":"41","volume":"27","year":"1999","journal-title":"Oil Machinery"},{"issue":"5","key":"2","first-page":"49","volume":"19","year":"2001","journal-title":"Oil Machinery"},{"issue":"3","key":"4","first-page":"60","volume":"35","year":"2006","journal-title":"Oil Field Equipment"},{"issue":"2","key":"5","first-page":"258","volume":"27","year":"2005","journal-title":"Journal of Jianghan Petroleum Institute"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1016\/S1876-3804(08)60085-3"},{"issue":"6","key":"9","first-page":"137","volume":"24","year":"2004","journal-title":"Proceedings of the Chinese Society of Electrical Engineering"},{"issue":"12","key":"10","doi-asserted-by":"crossref","first-page":"1076","DOI":"10.3923\/jas.2010.1076.1082","volume":"10","year":"2010","journal-title":"Journal of Applied Sciences"},{"key":"11","doi-asserted-by":"publisher","DOI":"10.1109\/72.97934"},{"issue":"1","key":"12","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/0893-6080(90)90049-Q","volume":"3","year":"1990","journal-title":"Neural Networks"},{"volume-title":"SPEA2: improving the strength pareto evolutionary algorithm for multi-objective optimization","year":"2001","key":"13"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.1109\/4235.797969"}],"container-title":["Journal of Applied Mathematics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/jam\/2014\/317130.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/jam\/2014\/317130.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/jam\/2014\/317130.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,22]],"date-time":"2017-06-22T07:34:21Z","timestamp":1498116861000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.hindawi.com\/journals\/jam\/2014\/317130\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"references-count":11,"alternative-id":["317130","317130"],"URL":"https:\/\/doi.org\/10.1155\/2014\/317130","relation":{},"ISSN":["1110-757X","1687-0042"],"issn-type":[{"type":"print","value":"1110-757X"},{"type":"electronic","value":"1687-0042"}],"subject":[],"published":{"date-parts":[[2014]]}}}