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Xiong T.,China University of Petroleum - Beijing | Liu Z.,China University of Petroleum - Beijing | Huang Z.,China University of Petroleum - Beijing | Qing L.,China University of Petroleum - Beijing | Xiong X.,Petrchina Xinjiang Oilfield Company
Proceedings - 2011 7th International Conference on Natural Computation, ICNC 2011 | Year: 2011

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. © 2011 IEEE. Source


Xiong T.,China University of Petroleum - Beijing | Liu Z.,China University of Petroleum - Beijing | Huang Z.,China University of Petroleum - Beijing | Xiong X.,Petrchina Xinjiang Oilfield Company | Qing L.,China University of Petroleum - Beijing
Advanced Materials Research | Year: 2012

Taking the Q area in Zhunger Basin for example, reservoirs and traps in the subwater fan in WuTonggou Formation can be identified by sequence stratigraphy, the analysis of seismic attributions and the optimization which can also be used to analyze the oil saturation. Therefore, the region of hydrocarbon can be predicted. The oil source rocks are in the middle of Permian System, and the major reservoirs are in the Upper Permian System. The WuTonggou Formation in upper Permian system can be divided into three parts: LST, TST and HST. Sand bodies of LST are the targets of this research. The subwater apron deposited from east to west. The braided channel in the middle fan is the best reservoir. The resolution was improved by the technology of seismic frequency division, and the strata slices of 40HZ seismic data were proved the best. Obviously, the subwater fan deposited from east and the braided channel changed its location continuously. The major flow direction of braided channel changed from the west to the south. It is also illustrated that the northern part of Q area uplifted and the sedimentary center migrated from northwest to southwest. The original sandstone was sealed by mudstone along with the transfer of braided channel. Therefore, the lithologic traps were updip pinch out, which can be generated because of the uplift of northern part. After the optimization of seismic attributes based on GA-BP, results showed that the areas of high oil saturation were in the west and southwest, especially the reservoirs which were in the southwest had the highest oil saturation. © (2012) Trans Tech Publications, Switzerland. Source

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