物探化探计算技术2023，Vol.45Issue(6)：726-737,12.DOI:10.3969/j.issn.1001-1749.2023.06.05
改进的完备经验模态分解和FWEO能量在南海油气识别中的应用
Application of improved complete empirical mode decomposition and FWEO energy to oil and gas identification in the South China sea
摘要
Abstract
The traditional Hilbert-Huang transform(HHT)is a time-frequency analysis method with poor recognition accuracy and suffers from endpoint effects and modal aliasing.The improved Complete Empirical Mode Decomposition(ICEEMD)can decompose complex seismic signals into a series of single-component signals,which can better solve the prob-lem of modal aliasing.However,the instantaneous amplitude and instantaneous frequency extracted by the combined Hilbert transform still have serious endpoint effects on the processing of real seismic data.FWEO(Frequency-weighted Energy Oper-ator)is a non-negative frequency-weighted operator that combines TK energy difference algorithm and the Hilbert transform complex analysis idea,and has higher time resolution than the Hilbert transform.However,due to the algorithm itself,the FWEO energy can only be applied to single-component signals and not directly to complex seismic data.Therefore,this paper combines the advantages of the improved complete empirical mode decomposition method and FWEO energy separation algo-rithm to extract the instantaneous amplitude and frequency information of the actual seismic records in a work zone in the South China Sea and compares the prediction results with the logging data with good prediction agreement and high recognition accu-racy,which proves that the method can accurately reflect the reservoir characteristics.关键词
FWEO能量/ICEEMD/模态混叠/瞬时属性/储层预测Key words
FWEO energy/ICEEMD/modal aliasing/instantaneous properties/reservoir prediction分类
地质学引用本文复制引用
赵品恒,周怀来,王元君,邬蒙蒙..改进的完备经验模态分解和FWEO能量在南海油气识别中的应用[J].物探化探计算技术,2023,45(6):726-737,12.基金项目
四川省科技厅重点研发计划项目(21ZDYF2939) （21ZDYF2939）
