12 Facts About Seismic inversion

In geophysics, seismic inversion is the process of transforming seismic reflection data into a quantitative rock-property description of a reservoir.

All modern seismic inversion methods require seismic data and a wavelet estimated from the data.

An example of a post-stack seismic resolution inversion technique is the constrained sparse-spike inversion.

Pre-stack Seismic inversion is often used when post-stack Seismic inversion fails to sufficiently differentiate geologic features with similar P-impedance signatures.

Simultaneous Seismic inversion solves for S-impedance and density, in addition to P-impedance.

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An important part in the inversion procedure is the estimation of the seismic wavelets.

The lowest frequencies from the inversion are replaced with information from the geologic model since they are poorly constrained by the seismic data.

The simultaneous inversion algorithm takes multiple angle-stacked seismic data sets and generates three elastic parameter volumes as output.

AVA geostatistical Seismic inversion software uses leading-edge geostatistical techniques, including Markov chain Monte Carlo sampling and pluri-Gaussian lithology modeling.

The use of multiple-angle-stack seismic volumes in AVA geostatistical inversion enables further evaluation of elastic rock properties and probable lithology or seismic facies and fluid distributions with greater accuracy.

The quality of the inversion result is dependent upon the extracted seismic wavelets.

The AVA geostatistical Seismic inversion is then run to generate the desired number of realizations, which match all the input data.