The inversion of E&P seismic data to elastic properties has become a standard part of many seismic reservoir characterization workflow.
Inversion to elastic properties is not an end goal bu an intermediate step towards improved interpretation of the seismic data in terms of properties that are relevant to understanding the geological characteristics of the subsurface.
There are a many approaches to construct the low frequency model to start the seismic inversion, such as: 1) using well-log only; 2) using well-log and seismic velocities; 3) using multi-attributes from seismic and well-logs.
My question are related with 3).
I appreciate if are there any colleagues with the experiences for run 3) with focus on Hampson Russell environment.
Best wishes, Mario E. Sigismondi
Dear Zhiguo fu, thank you very much for your answer.
Please, if you have some example, let me know by: [email protected]
best wishes, Mario
Hi Mario, the Emerge module in Hampson-Russell will help you with the multi-attribute approach to obtain your low frequency model (LFM). You can check out these papers that show the workflow: https://www.geoconvention.com/archives/2015/291_GC2015_A_novel_approach_for_low_frequency_model_generation.pdf
http://www.chopraseismic.com/wp-content/uploads/2016/04/18514-FB16-TA-Chopra-04-06-low-res.pdf
In addition to that, you can also check out my research where I used multi-attribute regression and PNN to estimate rock parameters, and the training procedure for the log and seismic data would be the same in Emerge to obtain a LFM. My research explains in a more detailed way how to work and understand the results obtained in Emerge:
Thesis Prediction of reservoir properties for geomechanical analysi...
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