We have collected information about The Delivery Open-Source Seismic-Inversion Toolkit for you. Follow the links to find out details on The Delivery Open-Source Seismic-Inversion Toolkit.
https://ui.adsabs.harvard.edu/abs/2004CG.....30..619G/abstract
Jul 01, 2004 · Abstract. We introduce a new open-source toolkit for model-based Bayesian seismic inversion called Delivery. The prior model in Delivery is a trace-local layer stack, with rock physics information taken from log analysis and layer times initialised from picks.Author: James Gunning, Michael E. Glinsky
http://www.qitech.biz/tech_papers/DeliveryEAGE.pdf
Delivery: an open-source Bayesian seismic inversion tool James Gunning, CSIRO Petroleum Michael Glinsky, BHP Billiton
http://sepwww.stanford.edu/oldsep/joe/Vienna/14_Gunning.pdf
We present an overview of the "Delivery" open-source toolkit for (1) stochastic seismic inversion, (2) wavelet extraction, and (3) production of geo-models from "Delivery" inversion models. These three major open-source pieces of software have been produced by …File Size: 12KB
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.201.6921
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): We introduce a new open-source toolkit for model-based Bayesian seismic inversion called Delivery. The prior model in Delivery is a trace–local layer stack, with rock physics information taken from log analysis and layer times initialised from picks. We allow for uncertainty in both the fluid type and saturation in ...
https://www.researchgate.net/publication/222555204_Delivery_An_Open-Source_Model-Based_Bayesian_Seismic_Inversion_Program
We introduce a new open-source toolkit for model-based Bayesian seismic inversion called Delivery. The prior model in Delivery is a trace-local layer stack, with rock physics information taken ...
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.13.2061
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): We introduce a new open-source toolkit for model-based Bayesian seismic inversion called Delivery. The prior model in Delivery is a trace--local layer stack, with rock physics information taken from log analysis and layer times initialised from picks. We allow for uncertainty in both the fluid type and saturation in ...
Searching for The Delivery Open-Source Seismic-Inversion Toolkit?
You can just click the links above. The data is collected for you.
