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https://www.sciencedirect.com/science/article/pii/S0098300404000640
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
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 ...
https://ui.adsabs.harvard.edu/abs/2004CG.....30..619G/abstract
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.
http://www.qitech.biz/tech_papers/DeliveryPaperNew3.pdf
software tool Delivery for Bayesian seismic inversion, and demonstrate how this code implements a model–based Bayesian approach to the inversion prob-lem. The software described in this paper is a trace–based inversion routine, and is designed to draw stochastic samples …
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 ...
https://www.researchgate.net/publication/228659762_Detection_of_reservoir_quality_using_Bayesian_seismic_inversion
Detection of reservoir quality using Bayesian seismic inversion ... with floating grains into a Bayesian seismic inversion code that operates directly on rock-physics variables. ... distributed as ...
http://www.qitech.biz/tech_papers/DeliveryEAGE.pdf
Delivery: an open-source Bayesian seismic inversion tool James Gunning, CSIRO Petroleum Michael Glinsky, BHP Billiton. Application areas nDevelopment, appraisal and exploration situations nRequisite information nSeismic nAt least one relevant well
https://en.wikipedia.org/wiki/Seismic_inversion
All modern seismic inversion methods require seismic data and a wavelet estimated from the data. Typically, a reflection coefficient series from a well within the boundaries of the seismic survey is used to estimate the wavelet phase and frequency. Accurate wavelet estimation is critical to the success of any seismic inversion.
http://sepwww.stanford.edu/oldsep/joe/Vienna/14_Gunning.pdf
program to "Delivery" in that the wavelet is extracted using exactly the same forward modelling assumptions as that used in the inversion code. Our program approaches the well-tie problem from a Bayesian view, which is the most natural way to integrate prior knowledge THE "DELIVERY" OPEN-SOURCE SEISMIC-INVERSION TOOLKITFile Size: 12KB
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