Geology plays a large role in determining how fluids flow - or do not flow - through the subsurface system, and where water and petroleum resources are likely to be found. The characteristics of the geologic units are also important factors in salinity mapping.
Constructing Geologic Framework Models
Geologic framework models include images constructedto help scientists explore the geometry and characteristics of the subsurface. Past research has resulted in framework models covering many of the COGG study areas.
Extrapolating to Formation Maps
Geologic modelers transform well-specific data into interpolated 3D frameworks using techniques ranging from fairly simple layer models, such as the one shown in the first example below, to geostatistical models of lithologies (Burow and others, 2005; Faunt and others, 2009; Faunt and others, 2010).
We can also use the lithology data to create 3D images of the boundaries between geologic formations. These are important because flow properties change from one formation to another. The following 3D visualization is an example of how we map formation boundaries and was constructed using data from the Fruitvale field (a detailed report and complete peer reviewed data set on Fruitvale are planned for publication).
Using the Geologic Framework Models
The COGG program uses geologic framework data and models in several ways, including:
- Designing regional monitoring networks
- Comparing salinity within and between formations
- Mapping fault locations within a study area to support interpretative analyses of whether they are serving as conduits or barriers
- Exploring flow gradients in study areas
- Identifying where oil and water wells are located in 3D in relation to the geology, including where fluid movement between these resources is most likely due to close proximity and/or relatively permeable sediments
Water management programs can also use these data to build or refine groundwater-flow models. An example of a regional scale flow model constructed using geologic framework models is the USGS Central Valley Hydrologic Model.
Burow, K.R., Shelton, J.L., Hevesi, J.A., and Weissmann, G.S., 2004, Hydrogeologic characterization of the Modesto area, San Joaquin Valley, California: U.S. Geological Survey Scientific Investigations Report 2004-5232, 54 p.
Hosford Scheirer, Allegra, ed., 2007, Petroleum systems and geologic assessment of oil and gas in the San Joaquin Basin Province, California: U.S. Geological Survey Professional Paper 1713.
Faunt, C.C., ed., 2009, Groundwater Availability of the Central Valley Aquifer, California: U.S. Geological Survey Professional Paper 1766, 225 p.
Faunt, C.C., Belitz, K., and Hanson, R.T., 2010, Development of a three-dimensional model of sedimentary texture in valley-fill deposits of Central Valley, California, USA: Hydrogeology Journal, v. 18, p. 625-649, DOI: 10.1007/s10040-009-0539-7
Sweetkind, D.S., Faunt, C.C., and Hanson, R.T., 2013, Construction of 3-D geologic framework and textural models for Cuyama Valley groundwater basin, California: U.S. Geological Survey Scientific Investigations Report 2013-5127.
Ponti, D.J., Wagner, B.J., Land, M., and Landon, M.K., 2014, Characterization of potential transport pathways and implications for groundwater management near an anticline in the Central Basin area, Los Angeles County, California: U.S. Geological Survey Open-File Report 2014-1087, 84 p., DOI: 10.3133/ofr20141086
California Department of Water Resources, 2015, Water quality data reports: Digital spatial data with water quality data for groundwater wells; data received June 2015 via email.
California State Water Resources Control Board, 2015, Electronic Data Transfer Library, accessed February 2015 at: https://www.waterboards.ca.gov/drinking_water/certlic/drinkingwater/EDTlibrary.html
Division of Oil, Gas, and Geothermal Resources, 2015, DOGGR Well Finder: Digital spatial data for oil wells in California; California Department of Conservation, accessed February 28, 2015 at: https://maps.conservation.ca.gov/doggr/wellfinder/#/-118.94276/37.12009/6
U.S. Geological Survey, 2015, National Water Information System - Web interface: U.S. Geological Survey water database, DOI: 10.5066/F7P55KJN