{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T14:14:25Z","timestamp":1762352065707,"version":"3.41.2"},"reference-count":12,"publisher":"Emerald","issue":"10","license":[{"start":{"date-parts":[[2009,10,16]],"date-time":"2009-10-16T00:00:00Z","timestamp":1255651200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2009,10,16]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-heading\">Purpose<\/jats:title><jats:p>The purpose of this paper is to present a new approach for selecting the good heavy oil reservoirs to develop preferentially, which can avoid the huge economical loss resulted from wrong decision.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Design\/methodology\/approach<\/jats:title><jats:p>A new method of ranking the development priority of heavy oil reservoir is present, in which the neural network is applied for the first time to acquire reservoir parameters' weights through training samples and the genetic algorithm is used to optimize the joint weighs of neurons in case that neural network falling into local minimum. Additionally, the paper establishes subordinate function of every parameter. Eventually, comprehensive evaluation values of all heavy oil reservoirs are obtained.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Findings<\/jats:title><jats:p>The method can ensure the veracity and creditability of the parameters' weights, avoid the randomicity brought by experts.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Research limitations\/implications<\/jats:title><jats:p>Accessibility of the data of many heavy oil reservoirs is the main limitation.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Practical implications<\/jats:title><jats:p>A very useful and new method for the decision makers of heavy oil reservoirs development.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-heading\">Originality\/value<\/jats:title><jats:p>The new approach of ranking the development priority of heavy oil reservoir based on the neural network and the genetic algorithm. The paper is aimed at the leaders who manage the development of heavy oil reservoirs.<\/jats:p><\/jats:sec>","DOI":"10.1108\/03684920910994042","type":"journal-article","created":{"date-parts":[[2009,11,14]],"date-time":"2009-11-14T07:00:33Z","timestamp":1258182033000},"page":"1684-1692","source":"Crossref","is-referenced-by-count":2,"title":["Application of neural network combined genetic algorithm to rank the development priority of heavy oil reservoirs"],"prefix":"10.1108","volume":"38","author":[{"given":"Xiaodong","family":"Wu","sequence":"first","affiliation":[]},{"given":"Junfeng","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Fujun","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Yaru","family":"Wang","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"key":"key2022012820205557900_b10","unstructured":"Guojun, Y., Pingyuan, C. and Linlin, L. (2001), \u201cApplying and realizing of genetic algorithm in neural networks control\u201d, Acta Simulata Systematica Sinica (China), Vol. 13 No. 5, pp. 567\u201070."},{"key":"key2022012820205557900_b4","unstructured":"Li, Z. and Liu, T. (2006), \u201cPrediction for the loading\u223csettlement relation of composite ground upon improved BP artificial neural network\u201d, Advances in Systems Science and Applications, Vol. 6 No. 4, pp. 552\u20106."},{"key":"key2022012820205557900_b9","unstructured":"Liu, F. and Li, R. (2003), \u201cThe evolving artificial neural network based on genetic algorithm\u201d, Acta Simulata Systematica Sinica (China), Vol. 15 No. 10, pp. 1431\u20103."},{"key":"key2022012820205557900_b1","unstructured":"Liu, W. (1997), Steam Injection Engineering of Heavy Oil, Petroleum Industry Press, Beijing, pp. 247\u201078."},{"key":"key2022012820205557900_b8","unstructured":"Lunjun, C. (2005), Application of Genetic Algorithm to Mechanical Optimization, Mechanical Industry Press, Beijing, pp. 45\u201058."},{"key":"key2022012820205557900_b5","unstructured":"Peng, S., Wang, W. and Xie, X. (2006), \u201cAn face recognition research based on the improved BP neural network\u201d, Advances in Systems Science and Applications, Vol. 6 No. 3, pp. 504\u20109."},{"key":"key2022012820205557900_b2","unstructured":"Sun, L. and Fu, W. (2001), \u201cConditions of cold production technology for heavy oil\u201d, Oil & Gas Geology (China), Vol. 22 No. 4, pp. 378\u201081."},{"key":"key2022012820205557900_b11","unstructured":"YanJun, S. and Shuai, W. (2002), \u201cThe application of the nerve network expert system in screening of heavy oil production schemes\u201d, Drilling & Production Technology, Vol. 25 No. 1, pp. 46\u20109."},{"key":"key2022012820205557900_b7","doi-asserted-by":"crossref","unstructured":"Yu, X.H. and Chen, G.A. 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(1992), Introduction to Artificial Neural Systems, West Publishing Company, St Paul, MN, pp. 221\u20103."}],"container-title":["Kybernetes"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/www.emeraldinsight.com\/doi\/full-xml\/10.1108\/03684920910994042","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/03684920910994042\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/03684920910994042\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T23:53:48Z","timestamp":1753401228000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/k\/article\/38\/10\/1684-1692\/271913"}},"subtitle":[],"editor":[{"given":"Mian\u2010yun","family":"Chen","sequence":"first","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2009,10,16]]},"references-count":12,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2009,10,16]]}},"alternative-id":["10.1108\/03684920910994042"],"URL":"https:\/\/doi.org\/10.1108\/03684920910994042","relation":{},"ISSN":["0368-492X"],"issn-type":[{"type":"print","value":"0368-492X"}],"subject":[],"published":{"date-parts":[[2009,10,16]]}}}