well-n-calm¶
The well-n-calm is a resource to guide archiving various well data related to groundwater problems in California. Currently, it is focused to provide a consistent format to organize compiled well data in Envrionmental Geophysics group at Stanford. We share our lessons learned to compile well data in our group for past 5 years while solving groundwater problems in California. List of major projects incuding well data are:
- Butte
- Kaweah (Tulare)
- Indian Wells Valley
- San Louis Obispo
With the organization of well data in these projects, we also develop a basic python code base such that one can easily explore the existing data sets, import new data, and export the data sets to various formats (e.g. LAS, CSV).
Contents:¶
Data Sources¶
WCR¶
Well Completion Report (WCR)
- Provider: California Department of Water Resources (DWR)
- Data types: PDF version of Lithology logs and geophysical logs (not discretized as readable to computer; ~10 \(^6\))
CASGEM¶
The California Statewide Groundwater Elevation Monitoring (CASGEM) Program
- Provider:
- Data types:
DOGGR¶
Division of Oil, Gas, and Geothermal Resources (DOGGR)
- Provider: California Department of conservation
- Data types: lithology logs, geophysical logs (resistivity, self-potential, gamma, …)
GAMMA¶
Groundwater Ambient Monitoring and Assessment (GAMMA) Program
- Provider: California Water Boards
- Data types: water quality data (~282,000 wells)
SGMA¶
Sustainable Groundwater Management Act (SGMA).
- Provider: California Department of Water Resources (DWR)
- Data types:
EM resistivity¶
- SkyTEM
- towed-TEM
Data Format¶
To organize the well data, we consider two diffent file format:
- Interval file
- Collar file
Common Variables¶
Project
:ID
:ReferenceDepth
:From
:To
:Projection
Zone
X
:Y
:
Data Types¶
- Lithology log
- Water level data
- Water quality data (e.g. total dissoved solidds(TDS))
Data explorer¶
Data explorer is a python code base which allows us to explore the organized well data connected to specific projects in our Environmental Geophysics group.
Lessons Learned¶
Exploring well data in California, and convert them into a usuable format such that one can extract useful information about groundwater is not simple. Main roadblock for this is …