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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Li Tuo-chen Ding Ying-ying |
| Copyright Year | 2012 |
| Description | Author affiliation: School of Economics and Management, Harbin Engieering University, China, 150001 (Li Tuo-chen; Ding Ying-ying) |
| Abstract | This paper makes use of experimental research methods to explore the important impact on the volcanic rocks fracturing to petroleum exploration innovation. The experiment carried out in the Daqing Oilfield Co.Ltd. Production Engineering Research Institute, and a number of experts and laboratory personnel have completed the experimental task. The existing literature at home and abroad on the volcanic oil fracturing technology research is very little, and the paper is to do some exploration about the petroleum fracturing technology. It detailedly integrates the geological engineering data, sets up effective KID library, refers TRIZ methods to resolve problems, and uses computer software programming to determine six types of G fuction characteristics and four quantitative characterististic parameters of the volcanic, and then according to the material-field analysis builds the Daqing volcanic condition diagnosis model and last develops the volcanic fracturing design construction assisted analysis system. Finally, Orioles 2 deep well 173 III layer is verified the validity of the experimental methods and the accuracy of the experimental procedures with a view to the benefits of the future development of the oil industry and the volcanic exploration technology innovation. |
| Starting Page | 1666 |
| Ending Page | 1672 |
| File Size | 395103 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781467330152 |
| ISSN | 21551855 |
| e-ISBN | 9781467330145 |
| DOI | 10.1109/ICMSE.2012.6414396 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-09-20 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Knowledge engineering Technological innovation petroleum fracturing Knowledge based systems volcanic rocks TRIZ Rocks Reservoirs Data models technology innovation knowledge management Stress |
| Content Type | Text |
| Resource Type | Article |
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