The Core Carbon Storage and Monitoring Research Program (CCSMR) aims to advance emergent monitoring and field operations optimization technologies that can be used in commercial carbon storage projects.
Barry M. Freifeld
bmfreifeld@lbl.gov
Thomas Daley
tmdaley@lbl.gov
Helen G. Prieto
hgprieto@lbl.gov
Dark Fiber Project Jonathan
Jonathan Ajo-Franklin
jbajo-franklin@lbl.gov
The DECOVALEX (Development of Coupled Models and their Validation against Experiments) Project is a unique international research collaboration for advancing the understanding and mathematical modeling of coupled thermo-hydro-mechanical (THM) and thermo-hydro-chemical (THC) processes in geological systems.
Jens Birkholzer
jtbirkholzer@lbl.gov
Induced seismicity associated with energy production and waste disposal will become an increasingly important issue (geothermal, CO2 sequestration, and oil and gas, etc.) as energy production in a climate-constrained earth progresses. Although induced seismicity has been noted for many years and associated with a variety of causes, recent attention has been focused on oil and gas, geothermal, and potential CO2 sequestration sites. This web site is meant to provide useful information regarding these three areas.
Ernest L. Majer
elmajer@lbl.gov
Thomas Daley
tmdaley@lbl.gov
Burton M. Kennedy
bmkennedy@lbl.gov
Curtis M. Oldenburg
cmoldenburg@lbl.gov
Kurt Toshimi Nihei
ktnihei@lbl.gov
ENIGMA— Ecosystems and Networks Integrated with Genes and Molecular Assemblies—seeks to advance understanding of microbial biology and the impact of microbial communities on their ecosystems. Team members collaborate closely to generate detailed quantitative understanding across scales—from molecular to cellular and community levels. Scientists within ENIGMA have the technological and scientific skills and experience to link environmental microbiological field-studies to both highly advanced field and laboratory meta-functional genomic and genetics tools.
Romy Chakraborty
rchakraborty@lbl.gov
The U.S. Department of Energy’s (DOE) Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) is a new data archive for earth and environmental science data.
Deb Agarwal
DAAgarwal@lbl.gov
Charuleka Varadharajan
cvaradharajan@lbl.gov
LBNL-ESD and the U.S. Army Core of Engineers—Cold Regions Research and Engineering Laboratory (USACE—CRREL) are collaborating to explore the use of distributed fiber-optic sensors to monitor the state of permafrost underlying transportation infrastructure, such as roads, runways, and rail lines.
Jonathan Ajo-Franklin
jbajo-franklin@lbl.gov
In the aftermath of the Fukushima Daiichi Nuclear Power Plant accident in Japan in 2011, LBNL-EESA and the Japan Atomic Energy Agency (JAEA) have collaborated to develop numerical methodologies for understanding and predicting the long-term transport of radionuclides within and among different surface-environmental compartments (farmland and forest soils, water bodies, soil pore water and groundwater systems) in Japan. This research, initiated in June 2014, also contributes to the R&D activities related to environmental remediation and decommissioning after the accident.
Jens Birkholzer
jtbirkholzer@lbl.gov
Carl I. Steefel
cisteefel@lbl.gov
Haruko Murakami Wainwright
hmwainwright@lbl.gov
The overall goal of this research is to understand in a quantitative way the coupling between flow and deformation and damage so that measurements of the deformation and damage along with changes in geophysical rock properties may be used to determine where the fluid is flowing and what processes the flow is provoking.
Steven R. Pride
srpride@lbl.gov
LBNL-ESD researchers are currently supporting the Nuclear Regulatory Commission's need for further technical information about a set of related technical topics. The main objective of the project is to develop the technical basis for new NRC staff guidance to applicants and licensees on critical issues related to the seismic analysis and design of new nuclear power plants (NPPs), in the broad area of time-domain soil-structure-interaction (SSI) modeling.
Robert Jay Budnitz
rjbudnitz@lbl.gov
