1887

Abstract

Summary

A seismic inversion algorithm is proposed to simultaneously retrieve P&S-wave velocities, density, and wavelet characteristics (shape and phase). Conditioned and NMO-corrected pre-stack seismic gathers in time and slowness domains are the main input. Inversion process can be executed in two different modes by replicating either NMO-corrected or raw synthetic gathers. In the latter mode, raw gathers are generated and NMO-correction is applied internally on raw gathers using intermediate P-wave velocity in each iteration. Full elastic reflectivity is the forward modelling algorithm utilized to replicate pre-stack seismic gathers. Very fast simulated annealing (VFSA) is the special global optimization algorithm employed to minimize objective function. The optimization algorithm is stochastic in nature and is enable to estimate uncertainty in model parameters. Unlike commercial software, no assumption is made on correlations between P&S-wave velocities and density. No smoothed background model is needed and only bounds on model parameters are necessary. The proposed workflow is claimed to recover sharp boundaries. This is due to the fact that non-liner full elastic reflectivity is used instead of linearized Zoeppritz equations. Thin beds are also recovered for the same reason and because of high resolution model parameters provided by stochastic component of the workflow.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202011973
2020-12-08
2024-03-29
Loading full text...

Full text loading...

References

  1. Ingber, L.
    , [1989] Very fast simulated re-annealing, Mathematical and computer modelling, 12, 967–973.
    [Google Scholar]
  2. Kennett, B. L. N.
    , [1983] Seismic wave propagation in stratified media: Cambridge University Press.
    [Google Scholar]
  3. Myers, M. T., Hathon, L. A.
    , [2012] Staged differential effective medium (SDEM) models for the acoustic velocity in carbonates, American Rock Mechanics Association, 46th U.S. Rock Mechanics/Geomechanics Symposium, 24–27 June, 553.
    [Google Scholar]
  4. Nur, A., Mavko, G., Dvorkin, J., and Gal, D.
    , [1995] Critical porosity: the key to relating physical properties to porosity in rocks, The Leading Edge17, 357–362.
    [Google Scholar]
  5. Sen, M.K, and Stoffa, P.L
    , [1995] Global optimization methods in geophysical inversion, Elsevier Science Publications, Netherlands.
    [Google Scholar]
  6. Shahin, A., Myers, M.T., Hathon, L.A.
    , [2017] Carbonates’ dual-physics modeling aimed at seismic reservoir characterization, Journal of Seismic Exploration, 26, 351–365.
    [Google Scholar]
  7. , [2019] Deciphering dual porosity carbonates using multiphysics modeling and inversion, Third EAGE WIPIC Workshop: Reservoir Management in Carbonates, 18–20 November 2019, Doha, Qatar.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.202011973
Loading
/content/papers/10.3997/2214-4609.202011973
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error