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为了弄清地震波特征对储层含油气的响应，了解有油样本与无油样本地震波特征差异，在应用神经网络油气预测方法的前提下，提出了两种储层特征逐步优化的计算方法。实际运算表明，逐步优化不仅运算速度快，而且得到了与组合优化完全一致的结果。
In order to understand the response of seismic wave characteristics to reservoir-based oil and gas, and to understand the difference of seismic wave characteristics between oil-bearing and non-oil-bearing samples, two computational methods for stepwise optimization of reservoir characteristics are proposed based on the application of neural network prediction method. The actual operation shows that the step-by-step optimization is not only fast in operation, but also obtains exactly the same result as the combined optimization.