Identification_Information: Citation: Citation_Information: Originator: Steven L. Garman Originator: Jamie L. McBeth Publication_Date: 2013 Title: Digital Representation of Oil and Natural Gas Well Pad Scars in Southwest Wyoming Geospatial_Data_Presentation_Form: Vector Digital Data Set (Polygon) Series_Information: Series_Name: U.S. Geological Survey Data Series Issue_Identification: DS-800 Publication_Information: Publication_Place: Denver, Colorado Publisher: U.S. Geological Survey Online_Linkage: http://pubs.usgs.gov/ds/800 Description: Abstract: The recent proliferation of oil and natural gas energy development in southwest Wyoming has stimulated the need to understand wildlife responses to this development. Central to many wildlife assessments is the use of geospatial methods that rely on digital representation of energy infrastructure. An important but unavailable infrastructure layer has been surface disturbance of the well pad scars associated with oil and natural gas extraction. To provide a digital baseline of this surface disturbance, we extracted visible oil and gas well pad scars from 1-m NAIP imagery (National Agriculture Imagery Program) acquired in 2009 for a 7.7 million-hectare (MHA) region of southwest Wyoming. Scars include the pad area where wellheads, pumps, and storage facilities reside, and the surrounding area that is scraped and denuded of vegetation during the establishment of the pad. Also, scars containing tanks, compressors, and the storage of oil and gas related equipment, and produced-water ponds were opportunistically collected. Our extraction method was a two-step process starting with automated extraction followed by manual inspection and clean up. We used available well point information to guide manual clean up and to derive estimates of year of origin and duration of activity on a pad scar. We also derived estimates of the proportion of non-vegetated area on a scar using a Normalized Difference Vegetation Index derived using 1-m NAIP imagery. We extracted 16,973 pad scars of which 15,318 were oil and gas well pads. Digital representation of pad scars along with time-stamps of activity and estimates of non-vegetated area provides important baseline (circa 2009) data for assessments of wildlife responses, land-use trends, and disturbance-mediated pattern assessments. Purpose: The purpose of this report is to publish the geospatial oil and gas pad scar data for southwest Wyoming, and document the methods used to extract pad scars from 1-m NAIP (National Agriculture Imagery Program) imagery. Pad scars include the disturbed surface area resulting from the drilling of oil and gas wells, and subsequent pumping and storage of extracted fluid minerals and produced water. Typically, pad scars consist of a core area of disturbed soil with wellheads, and pumping and storage facilities. Water extracted from drilling and well operation also may be stored in small ponds located within this core area. Re-vegetation of the core area often is limited due to continuous vehicular and foot traffic during the operation of oil and gas wells. The area around the core tends to be scraped and denuded of vegetation during construction of a pad. Re-vegetation of this surrounding area varies with the restoration regulations in-place during the development of the pad, and years since the pad was established. The core and surrounding scraped area is collectively considered a pad scar. Visible oil and gas well pad scars from current and past operations were included in this data set. Although not a primary goal, scarred areas that lacked wellheads but contained tanks, compressors, equipment storage, and large ponds of produced water related to oil and gas development were opportunistically extracted. Scars are labeled to identify the type (oil and gas well pad, storage, produced-water pond). Data are available from: http://pubs.usgs.gov/ds/800. Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 2009 Currentness_Reference: imagery collection date Status: Progress: Complete Maintenance_and_Update_Frequency: None planned Spatial_Domain: Bounding_Coordinates: West_Bounding_Coordinate: -111.04833731 East_Bounding_Coordinate: -107.904971206 North_Bounding_Coordinate: 43.161335495 South_Bounding_Coordinate: 40.960960304 Keywords: Theme: Theme_Keyword_Thesaurus: None Theme_Keyword: Oil Theme_Keyword: Natural Gas Theme_Keyword: Gas Theme_Keyword: Energy Development Theme_Keyword: Wildlife Assessment Theme_Keyword: Habitat Assessment Theme_Keyword: Surface Disturbance Theme_Keyword: Imagery Theme_Keyword: NAIP Imagery Theme_Keyword: Energy Infrastructure Theme_Keyword: Extraction Theme_Keyword: Pad Scar Theme_Keyword: Wyoming Oil and Gas Conservation Commission Theme_Keyword: WOGCC Theme_Keyword: U.S. Geological Survey Theme_Keyword: USGS Place: Place_Keyword_Thesaurus: None Place_Keyword: Wyoming Landscape Conservation Initiative Place_Keyword: WLCI Place_Keyword: southwest Wyoming Place_Keyword: Green River Basin Place_Keyword: WY Place_Keyword: Wyoming Place_Keyword: United States Place_Keyword: USA Access_Constraints: None. Please see 'Distribution Info' for details. Use_Constraints: None. Users are advised to read the data set metadata thoroughly to understand appropriate use and data limitations. Point_of_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Steven L Garman Contact_Position: Research Ecologist Contact_Address: Address_Type: Mailing Address: Box 25046, Denver Federal Center, Mail Stop 980 City: Denver State_or_Province: Colorado Postal_Code: 80225-0046 Country: USA Contact_Voice_Telephone: 303-236-1353 Contact_Facsimile_Telephone: 303-236-5349 Contact_Electronic_Mail_Address: slgarman@usgs.gov Data_Set_Credit: We thank Lori Baer, Rick Poss, and Harumi Warner for their assistance in the manual clean-up and digitizing of pad scars. Funding for this effort was provided by the USGS Land Change Science and the USGS Ecosystems Status and Trends programs. Native_Data_Set_Environment: Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; ESRI ArcCatalog 10.0 (Build 2414) Service Pack 5 (Build 4400) Data_Quality_Information: Attribute_Accuracy: Attribute_Accuracy_Report: We used a two-step process to produce a digital representation of primarily oil and gas well pad scars from 1-m NAIP imagery. We first developed automated procedures to extract pad scars from 4-band (red, green, blue, near infrared), 1-m NAIP imagery acquired in the summer of 2009 (total of 2200 images). Using digitized pads and other infrastructure features from a high-intensity energy field as training data and corresponding NAIP imagery, we developed a Classification Tree (CT) model that predicted surface-disturbance classes. For each NAIP image, the CT model assigned each pixel to a disturbance class. The overall intent of our extraction procedure was to provide an initial representation of possible pad scars to facilitate the subsequent manual editing procedure, not to provide highly accurate representation of scars. Previous studies (Germaine and others, 2012) and initial assessments of our classification efficiency demonstrated limited accuracy with automated extraction methods. Our extraction procedure simply provided a baseline for the manual evaluation of pad scars. The second step consisted of verifying and correcting the results from the automated procedure. Well points from Biewick (2011) and the Wyoming Oil and Gas Conservation Commission Approved Drill Permits (2009) [WOGCC ADPs] served as reference points for locating pad scars in NAIP imagery. Well points and extracted pad scar polygons were overlaid on NAIP imagery, and each image was scanned for pad scar accuracy (omission, commission, and completeness). Well points with no visible associated scar were checked for positional accuracy using the WOGCC ADPs data set. If the well point was located correctly according to the PLSS (Public Land Survey System) information, the surrounding area was scanned again to insure scars were not missed. There were instances where the well points were appropriately located but a scar was not visible due to re-growth of vegetation. Where extracted pad scars corresponded to scars in the image, the shape and size of extracted scars were evaluated and adjusted, if necessary, to match the imagery. Misclassified scars were eliminated. Omitted pad scars were added by on-screen digitizing. For consistency, only five individuals were involved in editing. Our primary objective was to provide digital representation of visible oil and gas well pad scars, but ancillary scars were also acquired. There were instances where large scars containing tanks, compressors and the storage of oil and gas equipment, and produced-water storage ponds were extracted in the automated procedure or were incidentally collected in the manual clean-up process. This opportunistic collection of scars was retained in the final shapefiles. However, since these types of scars were not the primary target, we do not claim to have extracted all oil and gas storage and produced-water scars in the study area. A pad-scar type attribute was used to identify the different types of extracted scars oil and gas well pad, storage, and produced-water pond. We recommend that a user of these data inspect the quality and accuracy of pad scars for their area of interest and relative to study objectives to determine necessary enhancements in terms of scar shape and size, and omission of scars. Also, because the vintage of these data is 2009, contemporary applications will require the addition of pad scars since 2009. Logical_Consistency_Report: Analyses were completed to insure there were no duplicate polygons and no unwanted multipart polygons. Completeness_Report: Our goal was to provide a baseline (circa 2009) digital representation of oil and gas well pad scars in the WLCI study area for use in wildlife habitat assessments, and more generally, in assessments of land-use trends. Despite our efforts to extract and accurately delineate the shape of all visible pad scars, it is likely that some extant pads were omitted and the boundaries of some scars are not exact. The ability to discern older pad scars varied among NAIP images due to differences in image brightness and color contrast, and the amount of naturally occurring bareground. The ability to delineate exact boundaries of pad scars also varied with the reflectance properties of images, the amount of natural bareground in the vicinity, and scar age. We recommend that a user of these data inspect the quality and accuracy of pad scars for their area of interest and relative to study objectives to determine necessary enhancements in terms of scar shape and size, and omission of scars. Also, because the vintage of these data is 2009, contemporary applications will require the addition of pad scars since 2009. Positional_Accuracy: Horizontal_Positional_Accuracy: Horizontal_Positional_Accuracy_Report: A formal accuracy assessment of the horizontal positional information in the data set has not been conducted. Vertical_Positional_Accuracy: Vertical_Positional_Accuracy_Report: A formal accuracy assessment of the vertical positional information in the data set has either not been conducted, or is not applicable. Lineage: Source_Information: Source_Citation: Citation_Information: Originator: Wyoming Oil and Gas Conservation Commission Publication_Date: 2012 Title: Wyoming Wells Database Geospatial_Data_Presentation_Form: Digital and/or Hardcopy Resources Publication_Information: Publication_Place: Casper, Wyoming Publisher: State of Wyoming, Wyoming Oil and Gas Conservation Commission Online_Linkage: http://wogcc.state.wy.us/ Type_of_Source_Media: Digital and/or Hardcopy Resources Source_Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 2009 Ending_Date: 2012 Source_Currentness_Reference: most recent data retrieval in 2012 Source_Citation_Abbreviation: WOGCC Source_Contribution: Wyoming oil and gas well permit information Source_Information: Source_Citation: Citation_Information: Originator: Laura R.H. Biewick Publication_Date: 2011 Title: Geodatabase of Wyoming statewide oil and gas drilling activity to 2010 Geospatial_Data_Presentation_Form: Digital and/or Hardcopy Resources Publication_Information: Publication_Place: Denver, Colorado Publisher: U.S. Geological Survey Online_Linkage: http://pubs.usgs.gov/ds/625/ Type_of_Source_Media: Digital and/or Hardcopy Resources Source_Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 2010 Source_Currentness_Reference: data retrieval date of 2010 Source_Citation_Abbreviation: Biewick 2011 Source_Contribution: Dates of drilling activity; well point locations Source_Information: Source_Citation: Citation_Information: Originator: USDA-FSA-APFO Aerial Photography Field Office Publication_Date: 2010 Title: NAIP Digital Ortho Photo Images Geospatial_Data_Presentation_Form: Digital and/or Hardcopy Resources Publication_Information: Publication_Place: Salt Lake City, Utah Publisher: USDA-FSA-APFO Aerial Photography Field Office Online_Linkage: http://datagateway.nrcs.usda.gov/ Online_Linkage: http://gis.apfo.usda,gov/arcgis/services Type_of_Source_Media: Digital and/or Hardcopy Resources Source_Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 2009 Source_Currentness_Reference: imagery collection date Source_Citation_Abbreviation: 2009 WY NAIP imagery Source_Contribution: Digital georectified images Process_Step: Process_Description: Using digitized pads and other infrastructure features from a high-intensity energy field as training data and corresponding NAIP imagery, we developed a Classification Tree (CT) model that predicted surface-disturbance classes. For each NAIP image, the CT model assigned each pixel to a disturbance class. Pond and pad scar classes then were combined to form patches. Subsequent processing relied on the tendency for pad scars to have shapes different from other surface disturbance features and naturally occurring bareground patches. Because pads tend to be oval to rectangular in shape, we eliminated elongated and irregularly shaped features which tended to be natural patches of very sparse vegetation or bareground, and roads. The result of this process was patches that were likely pad scars. The coordinates of oil and gas wells from Biewick (2011), referred to as well points (location of the drill hole), were used to identify patches that overlapped with well points. Patches with overlapping well points were coded to indicate a high probability of being an actual pad scar. Other patches were coded as low probability of being a pad scar. The output from this first step was an Esri grid file of probable pad scars that was converted to polygons for input to the next step. Process_Date: 2010-2012 Process_Step: Process_Description: The second step consisted of verifying and correcting the results from the automated procedure. Well points from Biewick (2011) and the Wyoming Oil and Gas Conservation Commission Approved Drill Permits (2009) [WOGCC ADPs] served as reference points for locating pad scars in NAIP imagery. Well points and extracted pad scar polygons were overlaid on NAIP imagery, and each image was scanned for pad scar accuracy (omission, commission, and completeness). Well points with no visible associated scar were checked for positional accuracy using the WOGCC ADPs data set. If the well point was located correctly according to the PLSS (Public Land Survey System) information, the surrounding area was scanned again to insure scars were not missed. There were instances where the well points were appropriately located but a scar was not visible due to re-growth of vegetation. Where extracted pad scars corresponded to scars in the image, the shape and size of extracted scars were evaluated and adjusted, if necessary, to match the imagery. Misclassified scars were eliminated. Omitted pad scars were added by on-screen digitizing. Manual edits were completed using the tools of the Editor Toolbar in ArcMap Desktop (versions 9.3 and 10). Typically, an entire pad scar could be represented by a single polygon. However, some large scars were dissected by roads. To avoid including the road area, the scar area on each side of a road was represented by separate polygons, with one typically being much larger than the other and containing one or more wellhead locations. Since all pad scar polygons were uniquely numbered, an attribute field was used to identify separate polygons representing a single pad scar. There were instances where large scars containing tanks, compressors and the storage of oil and gas equipment, and produced-water storage ponds were extracted in the automated procedure or were incidentally collected in the manual clean-up process. This opportunistic collection of scars was retained in the final shapefiles. However, since these types of scars were not the primary target, we do not claim to have extracted all oil and gas storage and produced-water scars in the study area. A pad-scar type attribute was used to identify the different types of extracted scars oil and gas well pad, storage, and produced-water pond. Process_Date: 2010-2012 Process_Step: Process_Description: To estimate when a pad scar was created and the last year of activity on a pad, we used well permit data which included drilling dates, well status, and dates of status reports. The primary data source was Biewick (2011) who calculated start and stop years of wells from 2010 WOGCC data. In initial assessments, we discovered pad scars associated only with permitted wells that were never drilled. That is, all permits for the well location had a status of Expired Permit (EP), but it was clear from the NAIP imagery that an area had been scraped in preparation for drilling. Because EP information was not used in Biewick (2011), we generated a newer version of start and stop years for all well points using the WOGCC ADP data set and status information from WOGCC Well Files (2012) which included EP wells. We followed procedures in Biewick (2011) where the permit history of a well point was scrutinized to determine the spud date (year when drilled), and the year of the most recent status report and the corresponding status (e.g., permanently abandoned, producing gas). Additionally, we determined if only EPs were associated with a well location. If so, we assumed the year of the first EP was the origin year of an associated pad scar. Time period of activity and number of well points associated with a pad scar were derived using the following described procedures. These procedures were performed separately with Biewicks (2011) data and the well point summary we derived. We used the results from our summary information where well points overlapped a pad scar or were closer to a pad scar compared to results with Biewick (2011), or where only EP wells occurred on or near a pad scar. Otherwise, results using Biewick (2011) were recorded. We recorded the source of information used to derive well-point numbers and activity years (D_source). We first performed a spatial join of the well points and the pad scars with the is closest to it option in ArcMap. This assigned each well point to the closest pad scar and recorded the distance from the point to the scar. For each pad scar, we derived the number of overlapping well points (Pts_scar), and the minimum start (Start1) and maximum stop year (Stop1) of these points. If only well points with EPs overlapped a pad scar, the year of the earliest permit was assigned to the start and stop year of the pad scar, and the use of only EP information was noted (EP_scar). There were numerous well points that were near but not on a pad scar, either due to inaccurate georegistration or mis-interpretation of the bounds of a pad scar. Based on visual inspection, well points within 100 m of a pad scar tended not to be associated with another visible pad scar. Thus, we assumed these well points were likely associated with the pad scar less than or equal to 100 m away. We recorded the number (Pts_100m), the maximum distance from a pad scar (MDist100_m), the minimum start (Start2), and the maximum stop year (Stop2) of well points within 100 m of a pad scar. The maximum distance of well points was recorded to aid in assessing the reliability of associating start and stop years from non-overlapping well points to a pad scar. If there were no well points overlapping a pad scar and only wells with EPs were within 100 m of a scar, then the year of the first permit was used as the start and stop year for the scar, and the use of only EP information for this distance interval was noted (EP_100m). Where no well points occurred less than or equal to 100 m of a scar, the number (Pts_200m), maximum distance from the scar (MDist200_m), and the minimum start (Start3) and maximum stop years (Stop3) of well points >100 and less than or equal to 200 m from a scar were recorded. Information from well points with EPs was only recorded if there were no other well points less than or equal to 200 m of a scar (EP_200m). The 200-m distance threshold was considered a maximum for providing credible information about pad-scar activity whenever closer well points were not available. Start and stop years for pads lacking well points within 200 m were set to 0 for unknown, and the scar type (Type) was set to POG to indicate a possible oil and gas well pad scar but not substantiated by having documented well points in proximity. Process_Date: 2012 Process_Step: Process_Description: Because 2010 data were used by Biewick (2011), the maximum stop year recorded in our activity duration assessment was 2010. The most recent status report of a well point provides an indication of active or inactive status. For each pad scar, we recorded the number of well points with a stop year of 2010 that were considered to be active or inactive in each of the 3 distance intervals (Act_scar, Act_100m, Act_200m, Inact_scar, Inact_100m, Inact_200m). Where status of well points with a stop year of 2010 was not provided, numbers of active and inactive wells were set to 0. Process_Date: 2012 Process_Step: Process_Description: Visible well pad scars in the 2009 NAIP imagery included abandoned and currently used pads, and consequently differed in the amount of vegetation cover and bareground. Estimates of vegetation cover or the lack of cover may be useful in assessments of wildlife habitat, soil erosion, and hydrologic responses. To provide a measure related to ground cover, we developed a relatively rapid method to estimate non-vegetated area for each pad scar. We developed an automated procedure that used the 2009 1-m NAIP imagery, a road data layer, and NDVI (Normalized Difference Vegetation Index) values to estimate the proportion of each pad scar that lacked noticeable vegetation (NonVeg). Unpaved road surfaces served as a reference for determining NDVI values representative of non-vegetated areas. For each image, we generated NDVI values for each 1-m pixel, overlaid a 1-m raster representing unpaved roads and derived the distribution of NDVI values for these roads, then overlaid a 1-m raster of the pad scars. The proportion of a pad scar with NDVI values equal to or less than the 50th percentile of the road NDVI distribution was ascribed as the proportion of non-vegetated area. We assessed different percentile thresholds, but found results using the 50th to have the highest correlation (r=0.89) with manually derived estimates (on-screen digitizing) of non-vegetated area for 100 randomly selected pad scars. Process_Date: 2012 Spatial_Data_Organization_Information: Direct_Spatial_Reference_Method: Vector Point_and_Vector_Object_Information: SDTS_Terms_Description: SDTS_Point_and_Vector_Object_Type: G-polygon Point_and_Vector_Object_Count: 13093 Spatial_Reference_Information: Horizontal_Coordinate_System_Definition: Planar: Grid_Coordinate_System: Grid_Coordinate_System_Name: Universal Transverse Mercator Universal_Transverse_Mercator: UTM_Zone_Number: 12 Transverse_Mercator: Scale_Factor_at_Central_Meridian: 0.9996 Longitude_of_Central_Meridian: -111.0 Latitude_of_Projection_Origin: 0.0 False_Easting: 500000.0 False_Northing: 0.0 Planar_Coordinate_Information: Planar_Coordinate_Encoding_Method: coordinate pair Coordinate_Representation: Abscissa_Resolution: 0.6096 Ordinate_Resolution: 0.6096 Planar_Distance_Units: Meter Geodetic_Model: Horizontal_Datum_Name: D_North_American_1983 Ellipsoid_Name: GRS_1980 Semi-major_Axis: 6378137.0 Denominator_of_Flattening_Ratio: 298.257222101 Entity_and_Attribute_Information: Detailed_Description: Entity_Type: Entity_Type_Definition: Table containing attribute information associated with spatial data Entity_Type_Definition_Source: Producer defined Entity_Type_Label: Attribute Table Attribute: Attribute_Label: ID Attribute_Definition: Accession number of collected scar starting with 1. Accession numbering continues across the two shapefiles (starting with 1 in padscar_utm12). Attribute_Definition_Source: U. S. Geological Survey (USGS) Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 1 Range_Domain_Maximum: 13093 Attribute: Attribute_Label: Area_Ha Attribute_Definition: Area of scar (hectares). Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.012699999846518 Range_Domain_Maximum: 161.142395019531 Attribute_Units_of_Measure: hectares Attribute: Attribute_Label: UTM Attribute_Definition: UTM zone Attribute_Definition_Source: Gauss and Kruger Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 12 Range_Domain_Maximum: 12 Attribute: Attribute_Label: NonVeg Attribute_Definition: Estimated proportion of a scar that lacks noticeable vegetation. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 1 Attribute: Attribute_Label: Type Attribute_Definition: Type of scar Attribute_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: OG Enumerated_Domain_Value_Definition: oil and gas well pad Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: P Enumerated_Domain_Value_Definition: produced-water ponds from oil and gas extraction Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: POG Enumerated_Domain_Value_Definition: possible OG but lacks documented well points in the vicinity Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: S Enumerated_Domain_Value_Definition: tanks, compressors and storage of oil and gas-related equipment Enumerated_Domain_Value_Definition_Source: USGS Attribute: Attribute_Label: SPAD Attribute_Definition: This field is set greater than 0 for pad scars that appear to be a smaller piece of a large scar but are separated from the larger piece by a road. The value of this field is the ID of the larger portion of the scar. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 12779 Attribute: Attribute_Label: Pts_scar Attribute_Definition: Number of well points overlapping a pad scar. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 43 Attribute: Attribute_Label: Start1 Attribute_Definition: Minimum start year of well points overlapping a pad scar. Set to zero if no points overlap a scar or if year information was not available. Attribute_Definition_Source: USGS (based on Wyoming Oil and Gas Conservation Commission data) Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 2010 Attribute: Attribute_Label: Stop1 Attribute_Definition: Maximum stop year of well points overlapping a pad scar. Set to zero if no points overlap a scar or if year information was not available. Attribute_Definition_Source: USGS (based on Wyoming Oil and Gas Conservation Commission data) Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 2010 Attribute: Attribute_Label: EP_scar Attribute_Definition: Set to EP if Pts_scar, Start1, and Stop1 were based on Expired Permit information. Attribute_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: BLANK Enumerated_Domain_Value_Definition: The well points occurring on the pad scar, if any, had permits with a status other than EP. Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: EP Enumerated_Domain_Value_Definition: Pts_scar, Start1, and Stop1 were based on Expired Permit information. Enumerated_Domain_Value_Definition_Source: USGS Attribute: Attribute_Label: Pts_100m Attribute_Definition: Number of well points occurring greater than 0 m and less than or equal to 100 m of the scar. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 20 Attribute: Attribute_Label: Mdist_100m Attribute_Definition: Maximum distance from the scar of well points included in Pts_100m. Set to zero if Pts_100m=0. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 100 Attribute_Units_of_Measure: meters Attribute: Attribute_Label: Start2 Attribute_Definition: Minimum start year for all well points greater than 0 m and less than or equal to 100 m of a scar. Set to zero if Pts_100m=0 or if year information was not available. Attribute_Definition_Source: USGS (based on Wyoming Oil and Gas Conservation Commission data) Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 2010 Attribute: Attribute_Label: Stop2 Attribute_Definition: Maximum stop year for all well points greater than 0 m and less than or equal to 100 m of a scar. Set to zero if Pts_100m=0 or if year information was not available. Attribute_Definition_Source: USGS (based on Wyoming Oil and Gas Conservation Commission data) Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 2010 Attribute: Attribute_Label: EP_100m Attribute_Definition: Set to EP if Pts_100m, Start2, and Stop2 were based on Expired Permit information. Attribute_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: BLANK Enumerated_Domain_Value_Definition: The well points occurring greater than 0 m and less than or equal to 100 m of a pad scar, if any, had permits with a status other than EP. Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: EP Enumerated_Domain_Value_Definition: Pts_100m, Start2, and Stop2 were based on Expired Permit information. Enumerated_Domain_Value_Definition_Source: USGS Attribute: Attribute_Label: Pts_200m Attribute_Definition: Number of well points occurring greater than 100 m and less than or equal to 200 m of a scar. Information for this field is not acquired if well points occurred less than or equal to 100 m of a scar. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 7 Attribute: Attribute_Label: Mdist_200m Attribute_Definition: Maximum distance from the scar of well points included in Pts_200m. Set to zero if Pts_200m=0. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 199.3 Attribute_Units_of_Measure: meters Attribute: Attribute_Label: Start3 Attribute_Definition: Minimum start year for all well points greater than 100 m and less than or equal to 200 m of a scar. Set to zero if Pts_200m=0 or if year information was not available. Attribute_Definition_Source: USGS (based on Wyoming Oil and Gas Conservation Commission data) Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 2010 Attribute: Attribute_Label: Stop3 Attribute_Definition: Maximum stop year for all well points greater than 100 m and less than or equal to 200 m of a scar. Set to zero if Pts_200m=0 or if year information was not available. Attribute_Definition_Source: USGS (based on Wyoming Oil and Gas Conservation Commission data) Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 2010 Attribute: Attribute_Label: EP_200m Attribute_Definition: Set to EP if Pts_200m, Start3, and Stop3 were based on Expired Permit information. Attribute_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: BLANK Enumerated_Domain_Value_Definition: The well points occurring greater than 100 m and less than or equal to 200 m of a pad scar, if any, had permits with a status other than EP. Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: EP Enumerated_Domain_Value_Definition: Pts_200m, Start3, and Stop3 were based on Expired Permit information. Enumerated_Domain_Value_Definition_Source: USGS Attribute: Attribute_Label: D_source Attribute_Definition: Source of the activity information (number of well points, and start and stop years). Attribute_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: B Enumerated_Domain_Value_Definition: Source of activity information is Biewick (2011). Enumerated_Domain_Value_Definition_Source: USGS Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: G Enumerated_Domain_Value_Definition: Source of activity information is the well-point summary from this study. Enumerated_Domain_Value_Definition_Source: USGS Attribute: Attribute_Label: Act_scar Attribute_Definition: Number of well points overlapping a scar with a stop year of 2010 and classified as active. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 38 Attribute: Attribute_Label: Act_100m Attribute_Definition: Number of well points greater than 0 m and less than or equal to 100 m of a scar with a stop year of 2010 and classified as active. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 12 Attribute: Attribute_Label: Act_200m Attribute_Definition: Number of well points greater than 100 m and less than or equal to 200 m of a scar that has a stop year of 2010 and classified as active. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 1 Attribute: Attribute_Label: Inact_scar Attribute_Definition: Number of well points overlapping a scar with a stop year of 2010 and classified as inactive. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 5 Attribute: Attribute_Label: Inact_100m Attribute_Definition: Number of well points greater than 0 m and less than or equal to 100 m of a scar that has a stop year of 2010 and classified as inactive. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 2 Attribute: Attribute_Label: Inact_200m Attribute_Definition: Number of well points greater than 100 m and less than or equal to 200 m of a scar that has a stop year of 2010 and classified as inactive. Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 1 Distribution_Information: Distributor: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Steven L Garman Contact_Position: Research Ecologist Contact_Address: Address_Type: Mailing Address: USGS Information Services Address: Box 25286 Denver Federal Center City: Denver State_or_Province: Colorado Postal_Code: 80225 Country: USA Contact_Voice_Telephone: 1-888-ASK-USGS Contact_Facsimile_Telephone: 303-202-4693 Contact_Electronic_Mail_Address: http://answers.usgs.gov Distribution_Liability: Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this information product, for the most part, is in the public domain, it also contains copyrighted materials as noted in the text. Permission to reproduce copyrighted items must be secured from the copyright owner. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and/or contained herein. This database, identified as DS-800, has been approved for release and publication by the U.S. Geological Survey (USGS). Although this database has been subjected to rigorous review and is substantially complete, the USGS reserves the right to revise the data pursuant to further analysis and review. Furthermore, it is released on condition that neither the USGS nor the U.S. Government may be held liable for any damages resulting from its authorized or unauthorized use. Standard_Order_Process: Digital_Form: Digital_Transfer_Information: Format_Name: Vector Digital Data Set (Polygon) Digital_Transfer_Option: Online_Option: Computer_Contact_Information: Network_Address: Network_Resource_Name: http://pubs.usgs.gov/ds/800 Fees: None. No fees are applicable for obtaining the data set. Metadata_Reference_Information: Metadata_Date: 20130430 Metadata_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Steven L Garman Contact_Organization: U.S. Geological Survey Contact_Position: Research Ecologist Contact_Address: Address_Type: Mailing Address: Box 25046, Denver Federal Center, Mail Stop 980 City: Denver State_or_Province: Colorado Postal_Code: 80225-0046 Country: USA Contact_Voice_Telephone: 303-236-1353 Contact_Facsimile_Telephone: 303-236-5349 Contact_Electronic_Mail_Address: slgarman@usgs.gov Metadata_Standard_Name: FGDC Content Standard for Digital Geospatial Metadata Metadata_Standard_Version: FGDC-STD-001-1998