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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ting Xiong Zhen Liu Zhilong Huang Lu Qing Xiaohua Xiong |
| Copyright Year | 2011 |
| Description | Author affiliation: China University of Petroleum, The State Key Laboratory for Petroleum Resources & Prospecting, Beijing, China (Ting Xiong; Zhen Liu; Zhilong Huang; Lu Qing) || Petrchina Xinjiang Oilfield Company, Petroleum Research institution of ZhunDong, China (Xiaohua Xiong) |
| Abstract | Genetic algorithm, grey relational analysis and BP neural network can be used to get the optimization of seismic attributions by which “Oil saturation” can be predicted accurately. Parallel searching is the distinguishing feature of genetic algorithm, and it can correct the faults of contraction of BP neural network. Therefore, the combination of GA and BP does not only improve the effect of searching, but also incorporate the study and predictive function of neural network. We can search optimum solutions in short time with this method. When the data were initialized by genetic algorithm, grey relational analysis can be used to decrease the redundant and non-valid seismic attributions data. The processing velocity can be improved. Meanwhile, the time of calculation will be saved. Weights can be computed by multiple linear regression, when the real oil saturations in well were set as the objective functions and the seismic attributions were set as the constraint equations. The resolutions solved by GA-BP optimization are better than the resolution of multiple linear regression. In practical application, relative accuracy is very important and the best solution may not be the best scheme. The best ten solutions solved by GA-BP method can be selected by different destinations, which were benefit for the ultimate decision. Practical research showed that the combination of genetic algorithm, grey relational analysis and BP neural network could offset the defects of single method and develop the strong points. This method has been proved correctly in practical application. |
| Starting Page | 2336 |
| Ending Page | 2340 |
| File Size | 285872 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424499502 |
| ISSN | 21579563 |
| e-ISBN | 9781424499533 |
| DOI | 10.1109/ICNC.2011.6022558 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-07-26 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Training Grey relational analysis Correlation Accuracy BP neural network Genetic algorithm Standardization optimization of seismic attributes Optimization Petroleum Genetic algorithms |
| Content Type | Text |
| Resource Type | Article |
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