INTER-SOURCE PASSIVE BODY-WAVE INTERFEROMETRY BY MULTIDIMENSIONAL DECONVOLUTION(MDD)
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- 英文论文题名：INTER-SOURCE PASSIVE BODY-WAVE INTERFEROMETRY BY MULTIDIMENSIONAL DECONVOLUTION(MDD)
- 论文作者：Li-wen XU ; Hao CHEN ; Xiu-mei ZHANG
- 英文论文作者：Li-wen XU ; Hao CHEN ; Xiu-mei ZHANG ; State Key Laboratory of Acoustics ; Institute of Acoustics ; Chinese Academy of Sciences
- 年：2016
- 作者机构：State Key Laboratory of Acoustics, Institute of Acoustics,Chinese Academy of Sciences;
- 英文论文关键词：Seismic interferometry ; Multidimensional deconvolution ; Inversion ; Body wave
- 会议召开时间：2016-10-21
- 会议录名称：2016年全国压电和声波理论及器件应用研讨会论文摘要集
- 英文会议录名称：Abstract Book of 2016 Symposium on Piezoelectricity, Acoustic Waves and Device Applications
- 语种：英文
- 分类号：P315.6
- 学会代码：AGLU
- 会议名称：2016年全国压电和声波理论及器件应用研讨会
- 会议地点：中国陕西西安
- 主办单位：中国力学学会、中国声学学会、IEEE UFFC分会
- 学会名称：中国力学学会
- 页数：2
- 文件大小：91k
- 原文格式：D
- 会议级别：全国
摘要
Background, Motivation and Objective Analogous to optical interferometry, scientists have developed seismic interferometry(SI) method, and its application in the field data have promoted the understanding and study of seismic wave propagation. Seismic interferometry can be applied to both controlled-source data and passive data. Under specific circumstances, the useful subsurface information can be retrieved with passive noise source seismic interferometry. In recent years, researchers have successfully retrieved body waves by cross-correlating wave fields observed at two receivers. The retrieved wave fields are mostly between pairs of receivers in the surface. When the new wave fields are retrieved between two receiver positions, it is called inter-receiver SI, and the inter-source SI is the wave fields retrieved between two source positions. The principle is known as seismic interferometry or Green's function retrieval. An alternative to the cross correlation(CC) is the multidimensional deconvolution(MDD), which has the potential to suppress artifacts due to source irregularity. Statement of Contribution/Methods Using source-receiver reciprocity, we can retrieve the Green's function between pairs of sources positions. With a numerical example, we show that the retrieved wave fields by inter-source MDD is more adequate than that by CC. To suppress the artifacts, we separate the wave fields recording at receivers into inward and outward wave fields to improve the quality of imaging. In a simple model, the inward and outward wave fields reduce to primary reflected waves and direct waves. In this letter, we use the method for passive seismic interferometry by inter-source MDD and established two kinds of model, one is the sources are aligned at a given depth and the other one is the irregular source distribution. We compare the results of both CC and inter-source MDD, and analyzed to further demonstrate the effectiveness of the inter-source MDD method. Results The results show that the waveform, amplitude, arrival time match between the reference and the retrieved wave fields is more accurate for inter-source MDD, and the method compensates for irregularities in the source distribution. With respect to CC, MDD ignores the properties of the source wavelet, suppresses spurious multiples due to one-sided illumination. Discussion and Conclusions By applying source and receiver reciprocity, we retrieved the virtual wave fields between pairs of source positions with the inter-source seismic interferometry by multi-dimensional deconvolution. This method creates a virtual acquisition geometry which the subsurface sources are transformed into virtual receivers to image closely to the target. MDD is a kind of data-driven method which we do not need know complete velocity of the subsurface. Unlike in the cross correlation method, MDD is relative insensitivity to irregular source distributions and the characteristics of the source. We also find that accurate wave field separation is important to the imaging result, especially to the outward and inward wave fields separation.
Background, Motivation and Objective Analogous to optical interferometry, scientists have developed seismic interferometry(SI) method, and its application in the field data have promoted the understanding and study of seismic wave propagation. Seismic interferometry can be applied to both controlled-source data and passive data. Under specific circumstances, the useful subsurface information can be retrieved with passive noise source seismic interferometry. In recent years, researchers have successfully retrieved body waves by cross-correlating wave fields observed at two receivers. The retrieved wave fields are mostly between pairs of receivers in the surface. When the new wave fields are retrieved between two receiver positions, it is called inter-receiver SI, and the inter-source SI is the wave fields retrieved between two source positions. The principle is known as seismic interferometry or Green's function retrieval. An alternative to the cross correlation(CC) is the multidimensional deconvolution(MDD), which has the potential to suppress artifacts due to source irregularity. Statement of Contribution/Methods Using source-receiver reciprocity, we can retrieve the Green's function between pairs of sources positions. With a numerical example, we show that the retrieved wave fields by inter-source MDD is more adequate than that by CC. To suppress the artifacts, we separate the wave fields recording at receivers into inward and outward wave fields to improve the quality of imaging. In a simple model, the inward and outward wave fields reduce to primary reflected waves and direct waves. In this letter, we use the method for passive seismic interferometry by inter-source MDD and established two kinds of model, one is the sources are aligned at a given depth and the other one is the irregular source distribution. We compare the results of both CC and inter-source MDD, and analyzed to further demonstrate the effectiveness of the inter-source MDD method. Results The results show that the waveform, amplitude, arrival time match between the reference and the retrieved wave fields is more accurate for inter-source MDD, and the method compensates for irregularities in the source distribution. With respect to CC, MDD ignores the properties of the source wavelet, suppresses spurious multiples due to one-sided illumination. Discussion and Conclusions By applying source and receiver reciprocity, we retrieved the virtual wave fields between pairs of source positions with the inter-source seismic interferometry by multi-dimensional deconvolution. This method creates a virtual acquisition geometry which the subsurface sources are transformed into virtual receivers to image closely to the target. MDD is a kind of data-driven method which we do not need know complete velocity of the subsurface. Unlike in the cross correlation method, MDD is relative insensitivity to irregular source distributions and the characteristics of the source. We also find that accurate wave field separation is important to the imaging result, especially to the outward and inward wave fields separation.
Background, Motivation and Objective Analogous to optical interferometry, scientists have developed seismic interferometry(SI) method, and its application in the field data have promoted the understanding and study of seismic wave propagation. Seismic interferometry can be applied to both controlled-source data and passive data. Under specific circumstances, the useful subsurface information can be retrieved with passive noise source seismic interferometry. In recent years, researchers have successfully retrieved body waves by cross-correlating wave fields observed at two receivers. The retrieved wave fields are mostly between pairs of receivers in the surface. When the new wave fields are retrieved between two receiver positions, it is called inter-receiver SI, and the inter-source SI is the wave fields retrieved between two source positions. The principle is known as seismic interferometry or Green's function retrieval. An alternative to the cross correlation(CC) is the multidimensional deconvolution(MDD), which has the potential to suppress artifacts due to source irregularity. Statement of Contribution/Methods Using source-receiver reciprocity, we can retrieve the Green's function between pairs of sources positions. With a numerical example, we show that the retrieved wave fields by inter-source MDD is more adequate than that by CC. To suppress the artifacts, we separate the wave fields recording at receivers into inward and outward wave fields to improve the quality of imaging. In a simple model, the inward and outward wave fields reduce to primary reflected waves and direct waves. In this letter, we use the method for passive seismic interferometry by inter-source MDD and established two kinds of model, one is the sources are aligned at a given depth and the other one is the irregular source distribution. We compare the results of both CC and inter-source MDD, and analyzed to further demonstrate the effectiveness of the inter-source MDD method. Results The results show that the waveform, amplitude, arrival time match between the reference and the retrieved wave fields is more accurate for inter-source MDD, and the method compensates for irregularities in the source distribution. With respect to CC, MDD ignores the properties of the source wavelet, suppresses spurious multiples due to one-sided illumination. Discussion and Conclusions By applying source and receiver reciprocity, we retrieved the virtual wave fields between pairs of source positions with the inter-source seismic interferometry by multi-dimensional deconvolution. This method creates a virtual acquisition geometry which the subsurface sources are transformed into virtual receivers to image closely to the target. MDD is a kind of data-driven method which we do not need know complete velocity of the subsurface. Unlike in the cross correlation method, MDD is relative insensitivity to irregular source distributions and the characteristics of the source. We also find that accurate wave field separation is important to the imaging result, especially to the outward and inward wave fields separation.
引文