本文選題：保邊去噪 + 變分模態(tài)分解��； 參考：《中國科技論文》2017年21期

【摘要】：為了更好地對(duì)地震資料進(jìn)行保邊去噪處理,提出了1種基于變分模態(tài)分解(variational mode decomposition,VMD)的動(dòng)態(tài)閾值分區(qū)濾波方法。該方法通過在不同頻帶上針對(duì)分布強(qiáng)度不同的噪聲進(jìn)行自適應(yīng)的閾值判斷處理,將頻帶數(shù)據(jù)分為2個(gè)分別代表噪聲和邊界結(jié)構(gòu)信息的特征區(qū)域,再對(duì)這2個(gè)區(qū)域選擇適當(dāng)?shù)臑V波方法進(jìn)行噪聲濾除。模型和實(shí)際資料驗(yàn)證結(jié)果表明,該方法不僅能提高地震資料信噪比而且保護(hù)并恢復(fù)了地層不連續(xù)性信息。
[Abstract]:In order to improve the edge preserving denoising processing of seismic data, a dynamic threshold partition filtering method based on variational mode decomposition (VMD) is proposed. In this method, the frequency band data are divided into two characteristic regions representing the noise and boundary structure information, respectively, by the adaptive threshold judgment processing for the noise with different distribution intensity in different frequency bands, and the frequency band data is divided into two characteristic regions, which represent noise and boundary structure information respectively. Then the appropriate filtering methods are selected for the two regions to remove the noise. The verification results of the model and the actual data show that the proposed method can not only improve the signal-to-noise ratio of seismic data, but also protect and restore the formation discontinuity information.
【作者單位】： 成都理工大學(xué)數(shù)學(xué)地質(zhì)四川省重點(diǎn)實(shí)驗(yàn)室;西南石油大學(xué)理學(xué)學(xué)院;
【基金】：國家自然科學(xué)基金資助項(xiàng)目(41304111) 四川省科技廳重點(diǎn)項(xiàng)目(2016JY0200) 四川省教育廳重點(diǎn)項(xiàng)目(17ZA0030,16ZB0101,14ZA0061,13ZA0205)
【分類號(hào)】：P631.44
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本文編號(hào)：1902426