40 datasets found
  1. a

    Oklahoma Groundwater Wells

    • home-owrb.opendata.arcgis.com
    Updated Mar 26, 2016
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    Oklahoma Water Resources Board (2016). Oklahoma Groundwater Wells [Dataset]. https://home-owrb.opendata.arcgis.com/maps/d96fcad9d6514429a986e06dfcc45e57
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    Dataset updated
    Mar 26, 2016
    Dataset authored and provided by
    Oklahoma Water Resources Board
    Area covered
    Description

    To ensure the integrity of water well construction and prevent potential pollution of state groundwaters, the OWRB supervises the licensing of water well drillers and pump installers. This program is guided by comprehensive standards developed in cooperation with the Well Drillers Advisory Committee. Licensed drillers are required to submit well logs online or by mail within sixty days of the completion of a new well or plugging or reconditioning of an existing well.Well Driller Licensing Fact Sheet

  2. c

    Water well data used for preliminary regional groundwater salinity mapping...

    • s.cnmilf.com
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Water well data used for preliminary regional groundwater salinity mapping near selected oil fields in central and southern California [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/water-well-data-used-for-preliminary-regional-groundwater-salinity-mapping-near-selected-o
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Southern California, California
    Description

    This digital dataset is comprised of three separate data files that contain total dissolved solids, well construction, and well identifying information for 3,546 water wells used to map salinity in and around 31 southern and central California oil fields. Salinity mapping was done for 27 fields located in the southern San Joaquin Valley of Kern County (North Belridge, South Belridge, Canfield Ranch, North Coles Levee, South Coles Levee, Cymric, Edison, Elk Hills, Fruitvale, Greely, Jasmin, Kern Bluff, Kern Front, Kern River, Lost Hills, Mount Poso, Mountain View, Poso Creek, Rio Bravo, Rosedale, Rosedale Ranch, Round Mountain, San Emidio Nose, Tejon, Ten Section, Wheeler Ridge, and Yowlumne), 3 fields in the LA Basin of Los Angeles County (Montebello, Santa Fe Springs, and Wilmington), and 1 field in the central coast area of Santa Barbara and San Luis Obispo Counties (Santa Maria Valley). Unlike petroleum wells, water wells both within and adjacent to oil fields of interest were used for salinity mapping. Water wells within an area (buffer) of 2-miles from the administrative field boundaries, with the exception of the Wilmington oil field with a buffer of 1-mile, were used for salinity mapping. Water wells located within overlapping buffer areas of adjacent oil fields were assigned to multiple fields for the purpose of being able to map salinity on a field-by-field basis. The dataset includes total dissolved solids (TDS) analyses from 1927 to 2016. Many of the analyses represent TDS concentrations that were calculated, as part of the salinity mapping, from specific conductance (SC) in lieu of reported TDS concentrations. Approximately 30 percent of the mapped water wells are wholly or partially derived from SC. In addition, approximately 50 percent of the water wells have TDS or SC analyses from more than one unique sample date. For wells having multiple analyses TDS represents the median value for the entire period of record, irrespective of whether it is from reported, calculated, or a combination of both TDS types. This dataset also includes ancillary data in the form of bottom perforation depth, well depth, or hole depth, land-surface elevation at the well head, and well _location and identifier information. Bottom perforation depth was missing for about 65 percent of all water wells used for salinity mapping and were assigned a alternative value for plotting purposes. Where available, well depth or hole depth were used in lieu of bottom perforation depth. For water wells lacking bottom perforation, well depth, or hole depth (40 percent), the bottom perforation was estimated based on screen length when available (5 percent), or when the median bottom perforation or median well depth for all wells associated with an individual field is provided as an approximation for the purpose of vertical plotting (35 percent). Summary data about each well used for salinity mapping is contained in the file called Water_Wells_Summary_Data. Detailed information about all individual TDS values including those used for determining median TDS values, are contained in the file called Water_Wells_All_Data. Data used for the development of linear regression equations for calculating TDS from specific conductance in lieu of reported TDS values are contained in the file called Water_Wells_Regress_Data.

  3. a

    Maine Well Database - Well Depth

    • mgs-maine.opendata.arcgis.com
    • data-smpdc.opendata.arcgis.com
    • +1more
    Updated Oct 19, 2017
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    State of Maine (2017). Maine Well Database - Well Depth [Dataset]. https://mgs-maine.opendata.arcgis.com/datasets/maine-well-database-well-depth
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    Dataset updated
    Oct 19, 2017
    Dataset authored and provided by
    State of Maine
    Area covered
    Description

    Point locations of domestic wells reported to the Maine Geological Survey. This dataset is based on an original survey of well drillers in the 1970s, a voluntary well driller reporting program in the mid-1980s, and the present mandatory reporting program which relies on the submission of well information by drillers. Wells have been located using GPS coordinates submitted by the drillers, e911 address information submitted by the drillers and/or ownership data and tax records.

  4. K

    Texas Water Well Reports

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 25, 2018
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    Texas Water Development Board (2018). Texas Water Well Reports [Dataset]. https://koordinates.com/layer/97852-texas-water-well-reports/
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    dwg, mapinfo tab, mapinfo mif, geodatabase, geopackage / sqlite, pdf, kml, shapefile, csvAvailable download formats
    Dataset updated
    Sep 25, 2018
    Dataset authored and provided by
    Texas Water Development Board
    Area covered
    Description

    Texas Department of Licensing and Regulation's (TDLR) Submitted Driller's Report Database. This database contains water well reports submitted to TDLR from February 2001 to present.

  5. Groundwater Wells and Springs Ireland (ROI) ITM - Dataset - data.gov.ie

    • data.gov.ie
    Updated Oct 22, 2021
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    data.gov.ie (2021). Groundwater Wells and Springs Ireland (ROI) ITM - Dataset - data.gov.ie [Dataset]. https://data.gov.ie/dataset/groundwater-wells-and-springs-ireland-roi-itm
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    Dataset updated
    Oct 22, 2021
    Dataset provided by
    data.gov.ie
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Ireland, Ireland
    Description

    A well is a hole dug into the ground usually for the purpose of taking water from the ground but also for monitoring groundwater. Most private wells are used for home and farm water supplies are in rural areas. Springs occur where groundwater comes out at the surface. A borehole is a hole drilled into the ground to gain access to groundwater. The hole is usually deep, narrow and round. This map shows the location of the dug wells, springs and boreholes in Ireland. Data was collected by GSI drilling or submitted to the GSI from Local Authorities and other state bodies, Private Well Grants, Drillers, Consultants, Group Water Schemes and Academia. The location accuracy is visually portrayed on the GSI webmapping viewer by the size of the circle displaying the record. It is NOT a comprehensive database and many wells and springs are not included in this database. You should not rely only on this database, and should undertake your own site study for wells in the area of interest if needed. This map is to the scale 1:100,000. This means it should be viewed at that scale. When printed at that scale 1cm on the map relates to a distance of 1km. It is a vector dataset. Vector data portray the world using points, lines, and polygons (areas). The data is shown as polygons. Each polygon holds information on the location of the borehole (X and Y coordinates), Well ID (well identifier), hole details, location details, yield, abstraction ,drilling details.

  6. a

    Water Wells - Southwest Michigan

    • gis-michigan.opendata.arcgis.com
    • gis-egle.hub.arcgis.com
    • +1more
    Updated Jul 31, 2020
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    Michigan Dept. of Environment, Great Lakes, and Energy (2020). Water Wells - Southwest Michigan [Dataset]. https://gis-michigan.opendata.arcgis.com/maps/egle::water-wells-southwest-michigan
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    Dataset updated
    Jul 31, 2020
    Dataset authored and provided by
    Michigan Dept. of Environment, Great Lakes, and Energy
    Area covered
    Description

    The data in these six files is derived from Wellogic, the EGLE statewide ground water database. The six files combined contain information on over 575,000 spatially verified water well records. The six files are intended to provide water well information for wells in counties clustered by geographic region: Upper Peninsula, Northern Lower Peninsula, East Central Lower Peninsula, West Central Lower Peninsula, Southwest Lower Peninsula and the South Central – Southeastern Lower Peninsula. The files are constructed to be easily merged, containing the same number and type of attribute fields. Although the derived data in these files represents the best readily available data, the six files do not represent a complete database of all wells or well records in existence. Beginning January 1, 2000 virtually 100% of new wells constructed are accounted for in Wellogic, however for wells older than 2000 the rate of inclusion varies from county to county, and may be considerably lower. Further, there is a quality control check on location that may exclude a limited number of wells from Wellogic from the six files made available on this site. The locational data also has varying degrees of accuracy; ranging from precise GPS point collection to address geocoding, but there may also be erroneous locations regardless of collection method that have not been corrected as of yet. Refer to the METHD_COLL field to determine each individual record’s potential locational accuracy. Field codes described below.------------------------------------------------------------------------------------------Field Definitions:WELLID : Wellogic ID number (unique identifying number, first 2 digits represent county number)PERMIT_NUM : Well permit number as assigned by local health departmentWELL_TYPE : Type of wellOTH = OtherHEATP = Heat pumpHOSHLD = HouseholdINDUS = IndustrialIRRI = IrrigationTESTW = Test wellTY1PU = Type I publicTY2PU = Type II publicTY3PU = Type III publicTYPE_OTHER : Type of well if WELL_TYPE is 'OTH'WEL_STATUS : Status of wellOTH = OtherACT = ActiveINACT = InactivePLU = Plugged/AbandonedSTATUS_OTH : Status of well if WEL_STATUS is 'OTH' WSSN : Water Supply Serial Number, only if public wellWELL_NUM : Individual well number/name, only if public wellDRILLER_ID : Water Well Drilling Contractor Registration Number as assigned by State of Michigan DRILL_METH : Method used to drill the well boreholeOTH = OtherAUGBOR = Auger/BoredCABTOO = Cable ToolCASHAM = Casing HammerDRIVEN = Driven HandHOLROD = Hollow RodJETTIN = JettedMETH_OTHER : Method used to drill if DRILL_METH is 'OTH'CASE_TYPE : Well casing typeOTH = OtherUNK = UnknownPVCPLA = PVC PlasticSTEBLA = Steel-blackSTEGAL = Steel-GalvanizedCASE_OTHER : Well casing type is CASE_TYPE is 'OTH'CASE_DIA : Well Casing Diameter (in inches)CASE_DEPTH : Depth of Casing (in feet) SCREEN_FRM : Depth of top of screen (in feet)SCREEN_TO : Depth of bottom of screen (in feet)SWL : Depth of Static Water Level (in feet)FLOWING : Naturally flowing well (Y or N)AQ_TYPE : Aquifer typeDRIFT = Well draws water from the glacial driftROCK = Well draws water from the bedrockDRYHOL = Dry hole, well did not produce waterUNK = UnknownTEST_DEPTH : Depth of drawdown when the well was developed (in feet)TEST_HOURS : Duration of pumping when the well was developed (in hours)TEST_RATE : Rate of water flow when the well was developed (in Gallons per Minute)TEST_METHD : Method used to develop the wellUNK = UnknownOTH = OtherAIR = AirBAIL = BailerPLUGR = PlungerTSTPUM = Test Pump TEST_OTHER : Method used to develop the well if TEST_METHD is 'OTH'GROUT : Whether the well was grouted or notPMP_CPCITY : Capacity of the pump installed in the well (in Gallons per minute)METHD_COLL : Method of collection of the latitude/longitude coordinates001 = Address Matching-House Number002 = Address Matching-Street Centerline004 = Address Matching-Nearest Intersection012 = GPS Carrier Phase Static Relative Position Tech.013 = GPS Carrier Phase Kinematic Relative Position Tech.014 = GPS Code Measurement Differential (DGPS)015 = GPS Precise Positioning Service016 = GPS Code Meas. Std. Positioning Service SA Off017 = GPS Std. Positioning Service SA On018 = Interpolation-Map019 = Interpolation-Aerial Photo020 = Interpolation-Satellite Photo025 = Classical Surveying Techniques027 = Section centroid028 = TownRange centroid036 = Quarter-Quarter-Quarter centroidELEV_METHD : Method of collection of the elevation003 = GPS Code Measurement Differential (DGPS)005 = GPS Code Meas. Std. Positioning Svc. SA Off007 = Classical Surveying Techniques014 = Topographic Map InterpolationOTH = OtherUNK = UnknownWITHIN_CO: Whether the well is within the stated countyWITHIN_SEC: Whether the well is within the stated land survey sectionLOC_MATCH: Whether the well is within the stated Tier/RangeSEC_DIST: Whether the well point is within 200 feet of the stated land survey sectionELEV_DEM: Elevation in feet above mean sea levelELEV_DIF: Absolute difference, in feet, between ELEVATION and ELEV_DEMLANDSYS: The Land System Group polygon that the well falls withinDEPTH_FLAG:1: WELL_DEPTH = 02: WELL_DEPTH < 25ft or WELL_DEPTH > 1000ftELEV_FLAG:1: ELEVATION (Wellogic Field) =02: ELEVATION (Wellogic Field) < 507ft OR > 1980ft3: ELEVATION (Wellogic Field) < DEM min OR > DEM max4: ELEV_DIF > 20 ftSWL_FLAG:1: SWL = 02: SWL >= WELL_DEPTH in a Bedrock well OR SWL >= SCREEN_BOT in a Glacial well3: SWL > 900ftSPC_CPCITY: Specific Capacity = (TEST_RATE / TEST_DEPTH). Only calculated if TEST_METHD = BAIL, PLUGR or TSTPUMAQ_CODE:N: No Lithology Record associated with the well recordB: Blank (AQTYPE = null) noted among the strataD: Drift (Glacial) WellR: Rock WellU: Unknown Lithology noted among the strata* PROCESSING NOTE – This evaluation reads the [AQTYPE] field for each stratum from the LITHOLOGY table, beginning at the top and looping down to each subjacent stratum. If the previous stratum = ‘R’ AND the bottommost stratum = ‘R’, then [AQ_CODE] is set to ‘R’. If the previous stratum = ‘R’ AND the next stratum = ‘D’, then [AQ_CODE] is set to ‘D’ and [AQ_FLAG] is set to ‘L’. If aType = ‘R’ AND screendepth > 0 R’ AND screendepth <= welldepth, then [AQ_CODE] is set to ‘D’ and [AQ_FLAG] is set to ‘S’. If aType = ‘R’ AND welldepth <= topofrock, then [AQ_CODE] is set to ‘D’ and [AQ_FLAG] is set to ‘D’.

  7. Water Wells

    • gis-modnr.opendata.arcgis.com
    Updated Jun 29, 2020
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    Missouri Department of Natural Resources (2020). Water Wells [Dataset]. https://gis-modnr.opendata.arcgis.com/datasets/water-wells
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    Dataset updated
    Jun 29, 2020
    Dataset authored and provided by
    Missouri Department of Natural Resources
    Area covered
    Description

    Water wells in Missouri

  8. d

    Water Wells - 2003 - OSE

    • catalog.data.gov
    • s.cnmilf.com
    • +2more
    Updated Dec 2, 2020
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    (Point of Contact) (2020). Water Wells - 2003 - OSE [Dataset]. https://catalog.data.gov/dataset/water-wells-2003-ose
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    Dataset updated
    Dec 2, 2020
    Dataset provided by
    (Point of Contact)
    Description

    The exported ESRI point shapefile 'allwells' was made using Arc Map 8.2 on a Win2000 pc The points were created from a download of the informix data base in June, 2002. Source of the location of the points varies. All State Plane Coordinates were entered by the applicant as the location of his well, usually from looking at a 1:24k USGS topographical map. A UTM coordinate is calculated to the center of the third quarter, or the smallest quarter of a section of land within the Public Land Survey System (PLSS). These quarters were also identified by the applicant as the location of the well. If no quarter was given, the UTM coordinate is calculated to the center of the section. The Bureau of Land Management's GCDB *.lx files were used to plot the wells in the database that are entered by section, quarter, quarter, quarter description. Points that were originally located in the State Plane Coordinate system were projected using ArcInfo to UTM Zone 13, NAD83. The final data set is projected in UTM Zone 13, NAD83. Attributes found with this coverage are downloaded from the OSE WATERS database with the exception of X-coord, y-coord which were calculated. Accuracy of well informatioin will be greatly enhanced when the entire state has been abstracted.

  9. Well Records

    • open.canada.ca
    • catalogue.arctic-sdi.org
    • +1more
    html, pdf, shp, zip
    Updated Jul 23, 2025
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    Government of Ontario (2025). Well Records [Dataset]. https://open.canada.ca/data/en/dataset/c1a624a7-fbd4-4bc8-8e65-41b294443123
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    pdf, html, shp, zipAvailable download formats
    Dataset updated
    Jul 23, 2025
    Dataset provided by
    Government of Ontariohttps://www.ontario.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Jan 1, 1899 - Jun 30, 2024
    Description

    This dataset provides information submitted by well contractors as prescribed by Regulation 903, and is stored in the Water Well Information System (WWIS). Spatial information for all of the well records reported in Ontario are also provided. Well record map *[WWIS]: Water Well Information System This data is related to: * Well records * Map: Well records * Topic: Drinking water * Law: Reg. 903: Wells Related data: * Petroleum wells

  10. v

    Total well depths for water wells overlying and adjacent to oil and gas...

    • res1catalogd-o-tdatad-o-tgov.vcapture.xyz
    • s.cnmilf.com
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Total well depths for water wells overlying and adjacent to oil and gas fields in California [Dataset]. https://res1catalogd-o-tdatad-o-tgov.vcapture.xyz/dataset/total-well-depths-for-water-wells-overlying-and-adjacent-to-oil-and-gas-fields-in-californ
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    California
    Description

    There are 487 onshore oil and gas fields in California encompassing 3,392 square miles of aggregated area. The California State Water Resources Control Board (State Water Board) initiated a Regional Monitoring Program (RMP) in July 2015, intended to determine where and to what degree groundwater quality may be at potential risk to contamination related to oil and gas development activities including well stimulation, well integrity issues, produced water ponds, and underground injection. The first step in monitoring groundwater in and near oil and gas fields is to prioritize the 487 fields using consistent statewide analysis of available data that indicate potential risk of groundwater to oil and gas development. There were limited existing data on potential groundwater risk factors available for oil and gas fields across the state. During 2014-2016, the U.S. Geological Survey (USGS) extracted and compiled data from various sources, including the California Division of Oil, Gas, and Geothermal Resources (DOGGR) and the Department of Water Resources (DWR). In 2014, total well depths for groundwater wells in California were extracted from digital copies of well completion reports provided to the USGS by DWR. This digital dataset contains 16,912 well depths for domestic, municipal, irrigation, industrial, and agricultural wells that were overlying oil and gas fields or within 5 kilometers of a field boundary. Wells were attributed with approximate location, well use, and depth using information provided by DWR, and were attributed with land surface elevations using the California National Elevation Dataset. Wells were also attributed with the nearest oil and gas field using DOGGR All Wells geospatial data included in this data release.

  11. d

    Water level test data for groundwater monitoring wells near Three Oaks...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Water level test data for groundwater monitoring wells near Three Oaks Recreational Area, Crystal Lake, Illinois [Dataset]. https://catalog.data.gov/dataset/water-level-test-data-for-groundwater-monitoring-wells-near-three-oaks-recreational-area-c
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    Crystal Lake, Illinois
    Description

    Hydrologic influences on water levels were investigated at Three Oaks Recreation Area (TORA), a former sand-and-gravel quarry converted into recreational lakes in Crystal Lake, Illinois. From 2009 to 2015, average water levels in the lakes declined nearly 4 feet. It was not clear if these declines were related to variations in weather (precipitation or evaporation) or other hydrologic influences such as municipal supply pumping or nearby quarry operations. Data were collected using three approaches to determine the possibility of such hydrologic influences. First, water levels were collected at 15-minute intervals at three wells equipped with pressure transducers from April 14 through September 27, 2016. The continuous data allowed assessment of lake and well water-level responses to precipitation, pumping influences, and quarry operations. Second, a single-day synoptic water-level survey was completed to create a water-table map to determine groundwater flow directions. Third, single-well aquifer tests (slug tests) were completed on the three data-collection wells to estimate the aquifer’s horizontal hydraulic conductivity. Collectively, these data were used to estimate the velocity and volume of water entering and exiting TORA. The single-well aquifer tests (mechanical slug tests) were conducted on monitoring wells 421317088182301--43N8E-9.5f (South Lake), 421244088180201--43N8E-9.2a (Rakow Road), and 421301088191501--43N8E-8.2c (Canterbury Park) within the vicinity of Three Oaks Recreational Area (TORA), in Crystal Lake, Illinois, about 35 miles northwest of Chicago. The tests were conducted April 26, 2016, for monitoring well 43N8E-9.2a, and May 20, 2016, for the remaining two wells. This data was used to support the project work described in: Gahala, A.M., 2018, Hydrologic influences on water levels at Three Oaks Recreation Area, Crystal Lake, Illinois, April 14 through September 27, 2016: U.S. Geological Survey, Scientific Investigations Report 2018-xxxx, xx p., http://dx.doi.org/XXXXXXX

  12. k

    Water Wells WWC5

    • hub.kansasgis.org
    • kgs-gis-data-and-maps-ku.hub.arcgis.com
    Updated Sep 15, 2023
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    The University of Kansas (2023). Water Wells WWC5 [Dataset]. https://hub.kansasgis.org/datasets/KU::water-wells-wwc5
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    Dataset updated
    Sep 15, 2023
    Dataset authored and provided by
    The University of Kansas
    Area covered
    Description

    The Water Well Completion Form Database (WWC5) contains information from records submitted by water well drillers to the Kansas Department of Health and Environment. Data is compiled by the Kansas Geological Survey. Drilling companies are mandated by state legislation under the Kansas Groundwater Exploration and Protection Act (KSA 82a-1201 et seq.) to provide information pertaining to the location, type, use, casing, nearest source of contamination, and so on of the well drilled using the WWC5 form. No water quality data is provided in this database. A good portion of the archived WWC5 records are in the form of electronically scanned images of the forms themselves. As such, the only standard database items entered into an Oracle RDBMS relate to the location information of the WWC5 wells, use of the well, when the well was completed, status of the wells, well depth, static water elevation, and the name of the drilling company servicing the site.

  13. U

    Inorganic chemistry data for groundwater wells near selected oil fields in...

    • data.usgs.gov
    • s.cnmilf.com
    • +1more
    Updated May 29, 2021
    + more versions
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    Loren Metzger; Phillip Herrera; Olga Rodriguez; Kevin Gereghty (2021). Inorganic chemistry data for groundwater wells near selected oil fields in the southwestern San Joaquin Valley, central California [Dataset]. http://doi.org/10.5066/P9XK9AQ1
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    Dataset updated
    May 29, 2021
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Loren Metzger; Phillip Herrera; Olga Rodriguez; Kevin Gereghty
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Time period covered
    1923 - 2018
    Area covered
    San Joaquin Valley, Central California, California
    Description

    This digital dataset contains geochemical and other information for 1,209 samples of groundwater from 343 wells located within 3-miles of the Buena Vista, Elk Hills, Midway-Sunset, and North and South Coles Levee oil fields in the southwestern San Joaquin Valley of central California. Data were compiled by the U.S. Geological Survey (USGS) from preexisting datasets and transferred manually into two separate data files described as follows: 1) a summary data file identifying each well, it's location, basic well construction, the number of chemistry samples and period of record, and data sources; and 2) a data file of geochemistry analyses for selected water-quality indicators, major and minor ions, nutrients, and trace elements, plus parameter code and (or) method, reporting level, reporting level type, and supplemental notes. A data dictionary was created to describe the geochemistry data file and is provided with this data release.

  14. Water Well Drilling Services in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Nov 1, 2014
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    IBISWorld (2014). Water Well Drilling Services in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/water-well-drilling-services-industry/
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    Dataset updated
    Nov 1, 2014
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United States
    Description

    Water well drilling contractors have enjoyed growth, driven by the Infrastructure Investment and Jobs Act (IIJA) of 2021. This legislation funneled over $50 billion into water infrastructure improvements, propelling demand for new water well installations, replacements and upgrades. As municipalities sought to meet stricter safety and environmental standards, specialized contractors found growth opportunities. Yet, this surge coincided with labor shortages, creating tension as the industry's workforce struggled to keep pace with demand. The shortage of licensed well drillers, combined with an aging workforce and challenging entry conditions, has contributed to increased competition for skilled employees, which has led to rising wages and added pressure on profit. Overall, industry-wide revenue has been growing at a CAGR of 1.8% over the past five years and is expected to total $9.6 billion in 2025, when revenue will rise by an estimated 1.7%. Over the past five years, water well drilling contractors have navigated a maze of challenges and opportunities. Severe drought conditions in various parts of the United States, notably in the West, Southwest and Plains, have exacerbated water scarcity. This has driven farmers and property owners to seek alternative water sources, boosting demand for well services. The construction sector delivered mixed signals, with low interest rates initially sparking a boom in housing starts before higher rates slowed residential growth. Commercial construction saw selective growth, especially in warehouse and data center projects, while industrial building for water-intensive facilities further supported contractors. Looking ahead, the next five years promise a complex but optimistic horizon for water well drilling contractors. Tariffs on essential materials like steel and machinery will likely challenge profitability with rising costs. Yet, continued federal funding and initiatives targeting water contamination and aging infrastructure sustain a steady demand for contractors' expertise. The housing shortage, coupled with potential interest rate cuts, could spur new residential construction in less dense areas, benefiting water well services. Moreover, the rise of water-intensive data centers, especially in regions like the Southeast, is poised to keep demand robust. As these facilities require extensive water resources, contractors stand to gain from drilling new wells or enhancing existing ones. Overall, industry revenue is forecast to grow at a CAGR of 1.1% to total $10.1 billion through the end of 2030.

  15. i

    USGS Groundwater Monitoring Well Locations 2023

    • indianamap.org
    • hub.arcgis.com
    • +1more
    Updated Mar 20, 2023
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    IndianaMap (2023). USGS Groundwater Monitoring Well Locations 2023 [Dataset]. https://www.indianamap.org/datasets/usgs-groundwater-monitoring-well-locations-2023/about
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    Dataset updated
    Mar 20, 2023
    Dataset authored and provided by
    IndianaMap
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    From the USGS: "As part of the U.S. Geological Survey's (USGS) program for disseminating water data within USGS, to USGS cooperators, and to the general public, the USGS maintains a distributed network of computers and fileservers for the acquisition, processing, review, and long-term storage of water data. This water data is collected at over 1.5 million sites around the country and at some border and territorial sites. This distributed network of computers is called the National Water Information System (NWIS). Many types of data are stored in NWIS, including comprehensive information for site characteristics, well-construction details, time-series data for gage height, streamflow, ground-water level, precipitation, and physical and chemical properties of water. Additionally, peak flows, chemical analyses for discrete samples of water, sediment, and biological media are accessible within NWIS."NWISWeb is the USGS public web interface to much of the data stored and managed within NWIS. Data provided by NWISWeb are updated from NWIS on a regularly scheduled basis, and real-time data are generally updated upon receipt at local Water Science Centers. NWISWeb provides several output options including: graphs of real-time streamflow, water levels, and water quality; tabular output in HTML and ASCII tab-delimited files; and summary lists for selected sites that can be used as a basis for reselection to acquire refined details."NWISWeb provides a framework to obtain data on the basis of category, such as surface water, ground water, or water quality, and by geographic area. Further refinement is possible by choosing specific site-selection criteria and by defining the output desired. In addition, there are nearly 70 million water-quality results from nearly 4.5 million water samples collected at hundreds of thousands of sites."

  16. A

    Data from: Methane contamination of drinking water accompanying gas-well...

    • data.amerigeoss.org
    • cloud.csiss.gmu.edu
    • +1more
    pdf
    Updated Aug 9, 2019
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    Energy Data Exchange (2019). Methane contamination of drinking water accompanying gas-well drilling and hydraulic fracturing [Dataset]. https://data.amerigeoss.org/hr/dataset/methane-contamination-of-drinking-water-accompanying-gas-well-drilling-and-hydraulic-fracturing
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    pdf(1032059)Available download formats
    Dataset updated
    Aug 9, 2019
    Dataset provided by
    Energy Data Exchange
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Directional drilling and hydraulic-fracturing technologies are dramatically increasing natural-gas extraction. In aquifers overlying the Marcellus and Utica shale formations of northeastern Pennsylvania and upstate New York, we document systematic evidence for methane contamination of drinking water associated with shalegas extraction. In active gas-extraction areas (one or more gas wells within 1 km), average and maximum methane concentrations in drinking-water wells increased with proximity to the nearest gas well and were 19.2 and 64 mg CH4 L−1 (n ¼ 26), a potential explosion hazard; in contrast, dissolved methane samples in neighboring nonextraction sites (no gas wells within 1 km) within similar geologic formations and hydrogeologic regimes averaged only 1.1 mgL−1 (P < 0.05; n ¼ 34). Average δ13C-CH4 values of dissolved methane in shallow groundwater were significantly less negative for active than for nonactive sites (−37 7‰ and −54 11‰, respectively; P < 0.0001). These δ13C-CH4 data, coupled with the ratios of methane-to-higher-chain hydrocarbons, and δ2H-CH4 values, are consistent with deeper thermogenic methane sources such as the Marcellus and Utica shales at the active sites and matched gas geochemistry from gas wells nearby. In contrast, lower-concentration samples from shallow groundwater at nonactive sites had isotopic signatures reflecting a more biogenic or mixed biogenic/ thermogenic methane source. We found no evidence for contamination of drinking-water samples with deep saline brines or fracturing fluids. We conclude that greater stewardship, data, and—possibly—regulation are needed to ensure the sustainable future of shale-gas extraction and to improve public confidence in its use.

  17. f

    An Evaluation of Water Quality in Private Drinking Water Wells Near Natural...

    • acs.figshare.com
    xlsx
    Updated Jun 1, 2023
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    Brian E. Fontenot; Laura R. Hunt; Zacariah L. Hildenbrand; Doug D. Carlton Jr.; Hyppolite Oka; Jayme L. Walton; Dan Hopkins; Alexandra Osorio; Bryan Bjorndal; Qinhong H. Hu; Kevin A. Schug (2023). An Evaluation of Water Quality in Private Drinking Water Wells Near Natural Gas Extraction Sites in the Barnett Shale Formation [Dataset]. http://doi.org/10.1021/es4011724.s002
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    xlsxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    ACS Publications
    Authors
    Brian E. Fontenot; Laura R. Hunt; Zacariah L. Hildenbrand; Doug D. Carlton Jr.; Hyppolite Oka; Jayme L. Walton; Dan Hopkins; Alexandra Osorio; Bryan Bjorndal; Qinhong H. Hu; Kevin A. Schug
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    Natural gas has become a leading source of alternative energy with the advent of techniques to economically extract gas reserves from deep shale formations. Here, we present an assessment of private well water quality in aquifers overlying the Barnett Shale formation of North Texas. We evaluated samples from 100 private drinking water wells using analytical chemistry techniques. Analyses revealed that arsenic, selenium, strontium and total dissolved solids (TDS) exceeded the Environmental Protection Agency’s Drinking Water Maximum Contaminant Limit (MCL) in some samples from private water wells located within 3 km of active natural gas wells. Lower levels of arsenic, selenium, strontium, and barium were detected at reference sites outside the Barnett Shale region as well as sites within the Barnett Shale region located more than 3 km from active natural gas wells. Methanol and ethanol were also detected in 29% of samples. Samples exceeding MCL levels were randomly distributed within areas of active natural gas extraction, and the spatial patterns in our data suggest that elevated constituent levels could be due to a variety of factors including mobilization of natural constituents, hydrogeochemical changes from lowering of the water table, or industrial accidents such as faulty gas well casings.

  18. b

    Water Well Buffers

    • data.bellevuewa.gov
    • hub.arcgis.com
    Updated May 3, 2023
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    City of Bellevue (2023). Water Well Buffers [Dataset]. https://data.bellevuewa.gov/datasets/cobgis::water-well-buffers-1
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    Dataset updated
    May 3, 2023
    Dataset authored and provided by
    City of Bellevue
    Area covered
    Description

    This feature class describes areas around water supply wells described by “AESI_InfilInfeas_WaterWells_KingCounty” and “AESI_InfilInfeas_WaterWells_CityOfBellevue” where infiltration is not permitted.100 foot buffers were applied around the point describing the well location except where location accuracy was indicated to be parcel scale. For wells where location accuracy was indicated as parcel-scale, the buffer was applied to the parcel boundary.This feature class is part of Appendix C, GIS Files and Documentation, of the Infiltration Infeasibility Analysis and Technical Report, prepared for the City of Bellevue Utilities Department by Associated Earth Sciences, Inc, April 4, 2016.

  19. t

    Groundwater Database - Texas Water Data Hub

    • txwaterdatahub.org
    Updated Sep 4, 2023
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    (2023). Groundwater Database - Texas Water Data Hub [Dataset]. https://txwaterdatahub.org/dataset/groundwater-database
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    Dataset updated
    Sep 4, 2023
    Description

    The Texas Water Development Board (TWDB) Groundwater Database (GWDB) contains information on selected water wells, springs, oil/gas tests (that were originally intended to be or were converted to water wells), water levels, and water quality to gain representative information about aquifers in Texas to support water planning from a local to a more regional perspective. This is a scientific database, not a registry of every well drilled in the state.

  20. a

    Model probability of sand from water well data

    • hub.arcgis.com
    • mngs-umn.opendata.arcgis.com
    • +1more
    Updated Aug 17, 2021
    + more versions
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    University of Minnesota (2021). Model probability of sand from water well data [Dataset]. https://hub.arcgis.com/datasets/UMN::surficial-geology-nobles-co-plate-3-wfl1?layer=2
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    Dataset updated
    Aug 17, 2021
    Dataset authored and provided by
    University of Minnesota
    Area covered
    Description

    Points indicating probably of water-bearing materials 5 feet thick or greater and dominantly sand and/or gravel. If not present around wells, the water-bearing areas are typically less than 5 feet thick or are not dominantly sand and/or gravel. Probability points extend down in 5ft increments if data exists.

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Oklahoma Water Resources Board (2016). Oklahoma Groundwater Wells [Dataset]. https://home-owrb.opendata.arcgis.com/maps/d96fcad9d6514429a986e06dfcc45e57

Oklahoma Groundwater Wells

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Dataset updated
Mar 26, 2016
Dataset authored and provided by
Oklahoma Water Resources Board
Area covered
Description

To ensure the integrity of water well construction and prevent potential pollution of state groundwaters, the OWRB supervises the licensing of water well drillers and pump installers. This program is guided by comprehensive standards developed in cooperation with the Well Drillers Advisory Committee. Licensed drillers are required to submit well logs online or by mail within sixty days of the completion of a new well or plugging or reconditioning of an existing well.Well Driller Licensing Fact Sheet

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