Everything you need to complete large 2-D and 3-D seismic interpretation projects, >20 times faster than legacy software
Unique solutions to model lamina and outcrop scales heterogeneity and seamlessly integrated with seismic scale reservoir models within one project
Easy-to-use workflows for integrating seismic inversions, well data and make reservoir property grids and maps
Fast interpretation of core photos to deliver “ground-truth” logs of litho-facies, Vshale, porosity and permeability.
Interactively calculation of seismic attributes with data conditioning, seamless integration with well data and reservoir modeling
Advanced 4-D visualization and SRV estimation within fracking stage, evaluate parent-child relations in horizontal drilling
Full-cycle workflow solution for CO2 storage site selection, reservoir mapping and characterization, modeling and leakage monitoring
Build local rock physics templates (RPT) for fast QI interpretation of seismic inversion volumes
Fit-for-purse ML workflows built for integrating production data and near-wellbore seismic attributes for predicting sweet spots and future production
Phone numbers of subsurfaceAI support teams. Request for more information from us
Published case studies listed by products
Recommend hardware, operating systems & cloud
Published case studies listed by reservoir types
Training topics and schedule
List of published technical references and case studies
Seismic facies classification is an attribute analysis and interpretation method that can help in identifying different seismic facies and depositional settings or structural features in the subsurface. It also can be used to delineate subtle variations and to detect patterns in the seismic data.
In this webinar, we will look at different methods and workflows on how to generate seismic facies classification maps and volumes including: unsupervised facies classification using neural networks, waveform correlation mapping and analysis, and crossplotting.
Date: Thursday, January 25, 2018
Time: 9:00 AM (MST) (10 am CST)
Presenter: Mr. Mohammed (Mo) Al-lbrahim, P. Geo. Senior Geophysicist
This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.
Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings.
If you disable this cookie, we will not be able to save your preferences. This means that every time you visit this website you will need to enable or disable cookies again.
This website uses Google Analytics to collect anonymous information such as the number of visitors to the site, and the most popular pages.
Keeping this cookie enabled helps us to improve our website.
Please enable Strictly Necessary Cookies first so that we can save your preferences!