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论述了油田区块开发前期和中期利用三维地震保幅叠偏资料以及钻井地质和测井资料，采用神经网络技术进行储层间的隔（夹）层预测方法及实际应用问题。通过实例分析，认为该方法技术的精度和可靠性较高，其结果为油田区块开发方案的制定提供了较可靠的依据。
This paper discusses the prediction methods and practical application of interval (clamp) layer prediction between reservoirs by using neural network technology in the early and mid-term of oilfield block development, using 3D seismic amplitude-preserving seismic data and drilling geology and well logging data. Through the example analysis, it is considered that the method has high accuracy and reliability, and the results provide a reliable basis for the formulation of the oilfield development plan.