摘要
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。
To find out the response of seismic wave to oil and gas in reservoirs and understand the difference of seismic wave characteristics between petroliferous samples and barren samples, this paper presents two kinds of calculation methods for the gradual optimization of reservoir characteristics on the premise of applying neural network in oil and gas prediction. The actual calculation indicates that the gradual optimization not only has rapid calculation speed but also yields consistent results with the combination optimization.
出处
《石油物探》
EI
CSCD
北大核心
1998年第4期41-47,共7页
Geophysical Prospecting For Petroleum
关键词
地震波特征
储集层特征
油气勘探
地震勘探
seismic wave characteristic, neural network, oil and gas prediction, optimization method
