An Improved Q Estimation Approach: Weighted Centroid Frequency Shift

摘要: Accurate estimation of Q factor is great importance to enhance the resolution seismic data, image and interpret subsurface precisely, predict delineate reservoirs. Centroid frequency shift method (CFS) one most commonly used methods. However, for data containing noise, accuracy stability extracted using CFS depends on choice band. Aiming reduce influence band selection get with greater precision higher robustness, we present an improved measurement approach—weighted (WCFS), by incorporating a Gauss-like weighting coefficient into calculation procedure. In novel method, first construct function centroid variance source wavelet, then employ it as original signal amplitude spectrum, finally conventional adopted weighted spectrum so extract factor. Numerical tests noise-free synthetic demonstrate that this approach feasible yields more accurate results than CFS. Tests noisy indicate our developed has better anti-noise ability Finally applied field VSP also shows good performance.