In seismic interpretation and reservoir characterization, the rock properties prediction is critical. OpendTect's Geophysics Package "Inversion & Rock Properties" provides the tools to enhance the seismic resolution (Seismic Spectral Blueing), perform seismic inversion (Coloured Inversion, Deterministic and Stochastic Inversion), and finally to perform facies analysis for object prediction (Neural Networks). Please join dGB's Claire Pierard, who will introduce a workflow made possible using the Inversion & Rock Properties package.
This webinar will be held on Wednesday, February 1st: click here to see the time in your time zone. Click here to register for this webinar.
2011-2012 Webinars
Webinars are back! A great lineup of new plugins, basic use, and proven workflows has been arranged. Keep watching your emails, Facebook, and LinkedIn for more information to come soon!
Thursday, 12 January 2012 09:10
dGB Earth Sciences Signs Off On Highly Successful 2011 As Open Source Business Model Reaps Dividends
Company Sees 35% Increase in Turnover During 2011 and Over 73,000 Downloads of its OpendTect Software over Last Two Years. ‘Freemium’ Business Model Sees Increase in Commercial Opportunities.
dGB Earth Sciences, the open-source seismic interpretation provider, has teamed up with Geoinfo SRL to bring the latest OpendTect plug-in for petrophysics interpretation.
The Computer Log Analysis Software (CLAS) plug-in will result in improved well-to-seismic ties, the enhanced calibration of seismic attributes to reservoir properties, more robust models and the more accurate interpretation of 3D seismic data.
"This is a major step forward for OpendTect enabling interpreters to combine seismic data with petrophysical data to provide an even more accurate characterisation of the prospective reservoir", said Kristofer Tingdahl CEO of dGB Earth Sciences.
With CLAS, seismic interpreters can edit well logs and generate vital information on oil in place through data on the saturation, clay volume, porosity, lithology and fluid content of the reservoir.
CLAS will also allow net pay to be estimated from seismic attributes and will be able to use dGB's neural networks plug-in to generate accoustic logs. The result will be the building of accurate models and improved acoustic and elastic impedance inversion.