LTrace Bayesian Linearized Inversion (BLI)
LTrace BLI provides a deterministic elastic seismic inversion using the linearized Bayesian methodology for estimating velocities or impedances and density. We use angle stacked seismic data – such as near, mid and far – along with low frequency models to quickly perform the inversion. The results are comparable to a constrained sparse spike inversion but are obtained 6x to 10x faster. The software implements an approximation on the horizontal continuity model, allowing the user to impose lateral correlation on the results with a low overhead.
A suggested workflow is to perform quality control (QC) comparing the inversion results with well log data. The QC implementation enables the user to change the parameters and quickly run the inversion on a limited area, automatically updating the QC window with the new results. After defining the optimal parameters, the user can perform the inversion on the full volume.
The software uses the latest Graphics Processing Unit (GPU) technologies to accelerate the inversion processing. If the user has an NVIDIA® GPU, the inversion will be automatically processed using it. Using GPUs provides a performance gain over CPUs of 4 to 7 times in our benchmarks, depending on the model of the GPU and the vertical gate selected at the inversion.