Data used to estimate groundwater salinity above the Montebello oil field (California, USA)
This release contains borehole geophysical electrical log data (elogs), total dissolved solids sample data (TDS), and geostatistical program files used to estimate the salinity distribution in groundwater above and in the vicinity of the Montebello Oil Field, located near Los Angeles, California, USA. Original data are drawn from a variety of publicly available sources and are combined here for use in geostatistical simulation and estimation. The extent of the estimation area is a 3-mile buffer zone surrounding the Montebello Oil Field administrative boundary, and the subsurface aquifer region lying above locally mapped oil-bearing units. The data compilation and analysis were done as part of the California State Water Resources Control Board Oil and Gas Regional Monitoring Program and the associated USGS California Oil, Gas, and Groundwater (COGG) Program.
Citation Information
| Publication Year | 2021 |
|---|---|
| Title | Data used to estimate groundwater salinity above the Montebello oil field (California, USA) |
| DOI | 10.5066/P9L0XGEG |
| Authors | Neil C Terry, Jennifer S Stanton, Matthew K Landon, Michael T Land |
| Product Type | Data Release |
| Record Source | USGS Digital Object Identifier Catalog |
| USGS Organization | Water Resources Mission Area - Headquarters |
Related Content
Geostatistical mapping of salinity conditioned on borehole logs, Montebello Oil Field, California
Matthew K Landon
Program Chief, California Oil, Gas and Groundwater
Related Content
- Publications
Geostatistical mapping of salinity conditioned on borehole logs, Montebello Oil Field, California
We present a geostatistics-based stochastic salinity estimation framework for the Montebello Oil Field that capitalizes on available total dissolved solids (TDS) data from groundwater samples as well as electrical resistivity (ER) data from borehole logging. Data from TDS samples (n = 4924) was coded into an indicator framework based on falling below four selected thresholds (500, 1000, 3000, andAuthorsNeil Terry, Frederick Day-Lewis, Matthew K. Landon, Michael Land, Jennifer S. Stanton, John W. Lane - Connect
Matthew K Landon
Program Chief, California Oil, Gas and GroundwaterEmailPhone