Scalable subsurface inverse modeling using big environmental data sets.
Conference
·
OSTI ID:1422155
Abstract not provided.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1422155
- Report Number(s):
- SAND2016-1781C; 643720
- Country of Publication:
- United States
- Language:
- English
Similar Records
Efficient inverse modeling of huge data sets with an application :
Big data analytics in a national security setting.
A Scalable Sampling-Free Non-Gaussian Data Assimilation Algorithm for Large Scale Computational Models using Large Data Sets.
Conference
·
Mon Nov 30 23:00:00 EST 2015
·
OSTI ID:1503956
Big data analytics in a national security setting.
Conference
·
Sun Apr 01 00:00:00 EDT 2012
·
OSTI ID:1104776
A Scalable Sampling-Free Non-Gaussian Data Assimilation Algorithm for Large Scale Computational Models using Large Data Sets.
Conference
·
Wed Jun 01 00:00:00 EDT 2016
·
OSTI ID:1369005