A SELF-ORGANIZING NERVE-TREE MODEL OF VARIOUS SEIMIC INFORMATION FOR HYDROCARBON PREDICTION
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摘要: 本文提出油气预测的自组织神经树模型,并选取一组标样作为研究对象,预测成功率达100%,结果表明,该方法性能良好,可望成为利用地震信息预测油气的一种有效辅助手段。Abstract: A self-organizing nerve tree model for hydrocarbon standard prediction was presented and a group of training samples were selected as study objective in the paper, in which the successful rate for prediction is 100%. Could be with high quantity, the model therefore could be a potential for hydrocarbon predition on seismic information.
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