*Rock Physics SIG: Automated Facies Classification for Seismic Inversion - Sep 11th
Sponsored by: CGG and Ikon Science
Event Location:
CGG
10300 Town Park Dr.
Houston, TX 77072
NOTE: You Must be Logged In to Register.
Speaker: Dr. James Gunning, Research Scientist at CSIRO
We introduce an algorithm for simultaneous facies classification and The fitting of rock physics models from multivariate well log data. Special features of the methodology are designed to render it resilient to data outliers. The algorithm is a robust and globalized variety of the expectation-maximization algorithm. Facies classifications are natural byproducts of the expectation step, and optimized rock physics models are produced by the maximization step. The practical advantages of the approach are illustrated using data from the Satyr-5 well, located in the Northern Carnarvon Basin, North West Shelf of Australia. Outputs of the algorithm include facies labels and free parameters in the corresponding rock-physics models, which can be easily interpreted and directly used in downstream workflows such as facies-based seismic inversion.
Speaker Biography: Dr. James Gunning, Research Scientist at CSIRO
Twenty-two years’ experience in the oil business involving reservoir characterization, spatial statistics, and the use of remote-sensed data. His professional accomplishments include (i) authoring the CSIRO 'Delivery' suite of open-source tools for Bayesian stochastic inversion, well-tie and wavelet extraction, and CSEM inversion, and (ii) a facies-elastic inversion code (Ji-Fi) for which Ikon Geosciences received the 2019 Queen’s Award for Innovation.
Broader research interests are in spatial statistics, Bayesian methodologies, uncertainty quantification, data integration, discrete and continuous optimization, and inverse problems from seismic and other remote sensed data.
NOTE: You Must be Logged in to Register
5:15pm Refreshments
5:30pm Presentation Begins
6:30pm Adjourn
THANK YOU TO OUR GENEROUS SPONSORS:
GOLD SPONSOR:
