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通过分析地震资料，最大限度地提取各种特征参数，确定各种地震参数及其分布规律，再使用综合参数法、判别分析法、自组织学习人工神经网络和有监督学习人工神经网络等多种技术对廊固拗陷已知油藏J砂体进行了预测验证，并对B砂体和C砂体从正反两方面进行了成功预测。
By analyzing seismic data, extracting various characteristic parameters to the maximum extent, determining various seismic parameters and their distribution rules, and then using multiple parameter methods, discriminant analysis, self-organizing learning artificial neural network and supervised learning artificial neural network The technique is used to predict and verify the J reservoir of the known reservoir in the Langzhuang depression and to predict the success of both the B and C sand bodies in both positive and negative directions.