inversion | quantitative interpretation
A successful inversion predicts existing and future well properties.
Inversion is not an algorithm, rather a series of carefully executed interlinked steps.
A number of factors control the quality of the final inversion output. These include:
We use our GWLA and AVATAR workflows to optimize the quality of the individual data-sets, and help generate the best possible well-tie.
Even given good quality data, the underlying rock-physics describing rock and fluid properties and seismic response must be sufficient to allow for a clear relationship to be identifiable in the seismic domain. We use our modeling workflows to investigate thoroughly this relationship prior to seismic inversion.
We use our well-based rock-physics models to calibrate our impedance and/or facies models to rock and fluid properties.