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希尔伯特—黄变换(Hilbert—Huang)是针对非线性、非平稳地震信号一种新的研究方法,其核心算法是利用经验模态分解(EMD)将信号分解为固有(或本质)模态函数(IMF)的组合。对IMF作Hilbert变换,应用于地震资料解释,可以得到更加清晰的瞬时频率和瞬时相位等参数。处理后的非线性信号在信噪比和分辨率方面有一定的提高,对地震资料的去噪和油气检测有重要意义。
Hilbert-Huang is a new research method for nonlinear and non-stationary seismic signals. Its core algorithm is to decompose signals into intrinsic (or essential) modes by using empirical mode decomposition (EMD) The combination of state functions (IMFs). Applying Hilbert transform to IMF to seismic data interpretation, more clear parameters such as instantaneous frequency and instantaneous phase can be obtained. The processed nonlinear signal has certain improvement in signal-to-noise ratio and resolution, and is of great significance to the denoising of seismic data and the detection of oil and gas.