Simultaneous inversion of prestack seismic data for rock properties using simulated annealing

A new prestack inversion algorithm has been developed to simultaneously estimate acoustic and shear impedances from P‐wave reflection seismic data. The algorithm uses a global optimization procedure in the form of simulated annealing. The goal of optimization is to find a global minimum of the objective function, which includes the misfit between synthetic and observed prestack seismic data. During the iterative inversion process, the acoustic and shear impedance models are randomly perturbed, and the synthetic seismic data are calculated and compared with the observed seismic data. To increase stability, constraints have been built into the inversion algorithm, using the low‐frequency impedance and background Vs/Vp models. The inversion method has been successfully applied to synthetic and field data examples to produce acoustic and shear impedances comparable to log data of similar bandwidth. The estimated acoustic and shear impedances can be combined to derive other elastic parameters, which may be use...

[1]  Paul G. Richards,et al.  Quantitative Seismology: Theory and Methods , 1980 .

[2]  William L. Goffe,et al.  SIMANN: FORTRAN module to perform Global Optimization of Statistical Functions with Simulated Annealing , 1992 .

[3]  N. Frazer.  Seismic Wave Propagation in Stratified Media , 1987 .

[4]  W. J. Ostrander.  Plane-wave reflection coefficients for gas sands at nonnormal angles of incidence , 1984 .

[5]  Mrinal K. Sen,et al.  Nonlinear one-dimensional seismic waveform inversion using simulated annealing , 1991 .

[6]  Xin-Quan Ma,et al.  A constrained global inversion method using an overparameterized scheme : Application to poststack seismic data , 2001 .

[7]  J. Pendrel,et al.  Estimation and interpretation of P and S impedance volumes from simultaneous inversion of P-wave offset seismic data , 2000 .

[8]  John P. Castagna,et al.  Offset-dependent reflectivity : theory and practice of AVO analysis , 1993 .

[9]  G. C. Smith,et al.  Detection of gas in sandstone reservoirs using AVO analysis: A 3-D seismic case history using the Geostack technique , 1994 .

[10]  Subhashis Mallick,et al.  Model-based inversion of amplitude-variations-with-offset data using a genetic algorithm , 1995 .

[11]  X. Ma.  Global joint inversion for the estimation of acoustic and shear impedances from AVO derived P- and S-wave reflectivity data , 2001 .

[12]  G. C. Smith,et al.  Weighted stacking for rock property estimation and detection of gas , 1987 .

[13]  A. Tarantola.  A strategy for nonlinear elastic inversion of seismic reflection data , 1986 .

[14]  P. Mora.  Nonlinear two-dimensional elastic inversion of multioffset seismic data , 1987 .

[15]  N. Metropolis,et al.  Equation of State Calculations by Fast Computing Machines , 1953, Resonance.

[16]  R. White,et al.  Partial coherence matching of synthetic seismograms with seismic traces , 1980 .

[17]  Moshe Reshef,et al.  Three-dimensional elastic modeling by the Fourier method , 1988 .

[18]  John P. Castagna,et al.  An integrated target-oriented prestack elastic waveform inversion: Sensitivity, calibration, and application , 1994 .

[19]  Jon Downton,et al.  Improved AVO Fluid Detection And Lithology Discrimination Using Lamé Petrophysical Parameters; “λρ”, μρ, λμ Fluid Stack”, From P And S Inversions. , 1997 .

[20]  Yanghua Wang.  Simultaneous inversion for model geometry and elastic parameters , 1999 .