中文摘要：

测井曲线包含丰富的地质信息，测井曲线的形态、幅度可以反映出岩性和沉积旋回韵律等地层特征。在综述国内外研究成果的基础上，认为基于测井资料进行层序地层单元划分的方法可以分为定性和定量识别两种，其中，定性方法有自然电位和自然电位镜像法、声波时差与电阻率曲线重叠法、声波时差法、自然电位和视电阻率组合法以及累计地层倾角测井法等；定量识别方法有时频分析技术、INPEFA技术、多尺度小波分析技术、经验模态分解法、测井曲线分形分析和测井多尺度数据融合方法等。人工神经网络、人工智能技术和多尺度数据融合方法将是测井识别层序地层单元研究的趋势。结合INPEFA定量识别方法对西湖凹陷钻井层序地层单元定量识别进行实例分析，效果良好。

英文摘要：

The logging curve contains abundant geological information. The shape and amplitude reflect the lithological and sedimentary cycles of strata. Based on the research results of domestic and overseas scholars, the paper proposes the subdivision of the recognition of sequence stratigraphic units based on the welllog data into qualitative and quantitative methods. The qualitative methods to recognize sequence stratigraphic units include SP, SP mirror image method, crossing method of AC and RA, AC method, method of combination of SP and RA, accumulation angle method. The quantitative methods to recognize sequence stratigraphic units include time-frequency analysis technology, INPEFA technology, wavelet analysis technology, fractal analysis method, and multiscale analysis method, et al. Artificial neural network, artificial intelligence processing and multiseale analysis method will be the research tendency of quantitative recognition of sequence stratigraphic units. As one example, the sequence stratigraphic units of Xihu Depression are recognized quantitatively using the INPEFA method with excellent comparison to traditional sequence stratigraphic methods.