基于频谱属性趋势分析和小波变换的层序界面识别方法——以珠三坳陷中新统珠江组—韩江组为例

Identification method of sequence boundary based on INPEFA and wavelet transform: a case study of Miocene Zhujiang to Hanjiang Formation in Zhu-3 Depression

闾伟 董艳蕾 葛家旺 孙连浦 谢向东 贾天鹏 郑赛飞 李元亮

中国石油大学（北京）油气资源与探测国家重点实验室，北京 102249 中国石油大学（北京）地球科学学院，北京 102249 西南石油大学
地球科学与技术学院，四川 成都 610050 华夏吉泰（北京）科技有限公司，北京 100015 中国石化胜利油田分公司孤岛采油厂，山东 东营 257231 中国石化中原油田分公司勘探开发研究院，河南 濮阳 457001

State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China College of Geosciences, China University of Petroleum, Beijing 102249, China College of Geosciences and Technology, Southwest Petroleum University, Chengdu 610500, China Sino Geotech (Beijing) Co., Ltd., Beijing 100015, China Gudao Oil Production Plant, Shengli Oilfield Company, SINOPEC, Dongying 257231, China Exploration and Development Research Institute, Zhongyuan Oilfield Company, SINOPEC, Puyang 457001, China

珠江口盆地珠三坳陷勘探程度相对较低，建立层序地层格架是有效开展油气勘探的重要基础。文中运用基于测井曲线的频谱属性趋势分析（INPEFA）和小波变换技术，识别各级层序界面和最大海泛面。即通过对自然伽马曲线进行最大熵谱分析，得到INPEFA曲线；利用INPEFA曲线的趋势和拐点，提取自然伽马曲线隐藏的周期性特征，进而划分出不同级次的层序界面；同时利用小波变换技术，对自然伽马曲线重构，分析重构后的小波系数曲线和时频色谱图，并采用曲线的异常震动和时频色谱图的能量变化识别三级层序界面和最大海泛面。研究结果表明，在珠江口盆地珠三坳陷中新统珠江组—韩江组识别出3个二级层序界面及6个三级层序界面，划分了2个二级层序和8个三级层序。利用文中方法，各级层序界面识别更直观、更明显，同时能够提高旋回划分及对比的精度和准确性，为研究区后续勘探开发提供技术支撑。

The exploration degree of Zhu-3 Depression in the Pearl River Mouth Basin is relatively low, so the establishment of  sequence stratigraphic framework is important for oil-gas exploration. In this paper, integrated prediction error filter analysis（INPEFA) technology and wavelet transform technology based on logging curve are used to identify sequence boundary of each order and maximum flooding surface（MFS）. The INPEFA curve was obtained by the maximum entropy spectrum analysis technology of GR curve. The trend and inflection points in the INPEFA curve were used to extract the hidden periodic features in the GR curve, and then the sequence boundaries of different orders were divided. Meanwhile, the GR curve was reconstructed by wavelet transform technology, and the reconstructed wavelet coefficient curve and the time-frequency chromatogram were analyzed. The third-order sequence boundary and the MFS are identified by the anomalous vibration of the curve and the energy change of the spectrogram. The results show that three second-order sequence boundaries and six third-order sequence boundaries are identified from Miocene Zhujiang Formation to Hanjiang Formation in Zhu-3 Depression, which are divided into two second-order sequences and eight third-order sequences. The method in this paper can make the sequence interface more intuitive and obvious, and improve the precision and accuracy of cycle division and comparison, which provides technical support for the subsequent exploration and development of the study area.

10.6056/dkyqt202303012