Depth-domain angle and depth variant seismic wavelets extraction for prestack seismic inversion

Abstract

Many pre-stack depth migration (PSDM) methods have been developed and widely utilized to generate depth domain seismic images, resulting in a need for depth domain pre-stack seismic inversion of the subsurface elastic properties for reservoir characterization. Time domain inversion techniques are often used after the depth domain dataset is transformed to the time domain. We provide a new technique for directly inverting depth domain pre-stack seismic data for subsurface elastic properties: P-impedance (Ip), S-impedance (Is), and density (?) in the depth domain. The proposed depth domain work ow eliminates the need for time-depth/depth-time conversion, making it both efficient and effective. Using a depth-wavenumber decomposition approach, the suggested work flow fi rst extracts a collection of depth and angle varying wavelets to handle the potential nonstationarity of the depth domain pre-stack seismic data. The extracted depth and angle variant wavelets were used in a basis pursuit inversion, which enhanced the resolution of the inversion results. The work flow was tested on the Wenan three-dimensional field dataset, demonstrating its viability for practical applications.

A Wavelet Extraction Method of Attenuation Media for Direct Acoustic Impedance Inversion in Depth Domain

“…Basis pursuit (BP) is an optimization method with an L 1 norm. Considering the sparsity of subsurface stratigraphy, the BP has been gradually applied to seismic inversion in recent years, which improves the detectability and resolution of thin layers [23,24]. Here, we use the BP inversion approach to obtain the reflectivity, and the inverted AI should be recovered by the following:…”

“…And then it directly carries out seismic inversion in the depth domain. The approaches used for estimating depth-domain seismic wavelets mainly include point spread functions [21,22] and depth-wavenumber spectral decomposition [20,23,24]. Fletcher et al (2012Fletcher et al ( , 2016 replaced the 1D wavelet in conventional time-depth inversion with the point spread functions of depth imaging processing, attaining direct seismic inversion in the depth domain [21,22].…”