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THE APPLICATION OF GA+BP HYBRID NEURAL NETWORK TO INTER-BED DEPOSIT PREDICTION |
LIU Hong-lin1, HU Jian1, WANG Jin-shan2, ZHU Qiu-ying1 |
1. Daqing Petroleum Institute, Daqing 163318, China;
2. Daqing Petroleum Research Institute, Daqing 163318, China |
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Abstract Seismic signals are directly affected by the rock and the physical character of liquid. The extraction of information about rock and deposit from the seismic data is of great realistic significance. There exist nonlinear relationships between the seismic attributes, which are affected obviously by the environment. BP algorithm can establish the high nonlinear mapping between the object and the seismic attributes. GA algorithm can select the survival of the fittest. The BP algorithm can quickly converge, and the GA can globally search the fittest result in all data. The improvement of BP algorithm and the application of the GA+BP hybrid algorithm in inter-bed prediction can achieve a satisfactory result.
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Received: 15 May 2003
Published: 24 October 2004
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