A Born–WKBJ Pre-Stack Seismic Inversion Based on a 3-D Structural-Geology Model Building

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Abstract
Estimation of subsurface properties by using the scattering integral equation is a method that finds increasing use in near-surface and shallow oil/gas exploration, based on seismic, low-frequency electromagnetic, and surface-radar surveys. The method can accurately simulate physical realizations induced by small-scale perturbations, but its accuracy depends on a suitable low-frequency property model. We propose a 3-D geological-structure-guided model building to provide a reliable low-frequency model and combine it with the Born–Wentzel–Kramers–Brillouin–Jeffreys (WKBJ)-approximation-based inversion algorithm. Instead of the traditional approach based on artificially interpreted horizons, we use 3-D seismic-slope attributes as lateral constraints, which contain more geological information. Plane-wave destruction (PWD) in 3-D is exploited to extract the 2-D slopes along the inline and crossline directions, which are the key factors in computing 3-D slopes. Then, by introducing the shaping regularization, we build low-frequency models by solving the inverse problem. Numerical analysis indicates that an appropriate background model is essential for seismic modeling with the Born–WKBJ approximation. The methodology is applied to synthetic and 3-D field data, and the examples show that it provides reliable background models and improves the inversion performance.
Funding Information
  • National Natural Science Foundation of China (42004111)
  • China Postdoctoral Science Foundation (2021T140175, 2019M661716, 2020M681860)
  • Fundamental Research Funds for the Central Universities of China (B200202135)
  • Jiangsu Innovation and Entrepreneurship Plan
  • Jiangsu Province Science Fund for Distinguished Young Scholars

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