43 datasets found
  1. F

    All Employees, Oil and Gas Extraction

    • fred.stlouisfed.org
    json
    Updated Jun 6, 2025
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    (2025). All Employees, Oil and Gas Extraction [Dataset]. https://fred.stlouisfed.org/series/CES1021100001
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    jsonAvailable download formats
    Dataset updated
    Jun 6, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for All Employees, Oil and Gas Extraction (CES1021100001) from Jan 1972 to May 2025 about extraction, logging, oil, mining, gas, establishment survey, employment, and USA.

  2. a

    Global Oil and Gas Features

    • hub.arcgis.com
    • maps-cadoc.opendata.arcgis.com
    • +1more
    Updated Nov 25, 2020
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    Oil Spill Response Ltd (2020). Global Oil and Gas Features [Dataset]. https://hub.arcgis.com/maps/ef2d703fcf43426ba4a6108001974570
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    Dataset updated
    Nov 25, 2020
    Dataset authored and provided by
    Oil Spill Response Ltd
    License

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

    Area covered
    Description

    Version: GOGI_V10_2This data was downloaded as a File Geodatabse from EDX at https://edx.netl.doe.gov/dataset/global-oil-gas-features-database. This data was developed using a combination of big data computing, custom search and data integration algorithms, and expert driven search to collect open oil and gas data resources worldwide. This approach identified over 380 data sets and integrated more than 4.8 million features into the GOGI database.Access the technical report describing how this database was produced using the following link: https://edx.netl.doe.gov/dataset/development-of-an-open-global-oil-and-gas-infrastructure-inventory-and-geodatabase” Acknowledgements: This work was funded under the Climate and Clean Air Coalition (CCAC) Oil and Gas Methane Science Studies. The studies are managed by United Nations Environment in collaboration with the Office of the Chief Scientist, Steven Hamburg of the Environmental Defense Fund. Funding was provided by the Environmental Defense Fund, OGCI Companies (Shell, BP, ENI, Petrobras, Repsol, Total, Equinor, CNPC, Saudi Aramco, Exxon, Oxy, Chevron, Pemex) and CCAC.Link to SourcePoint of Contact: Jennifer Bauer email:jennifer.bauer@netl.doe.govMichael D Sabbatino email:michael.sabbatino@netl.doe.gov

  3. United States Employment: NF: sa: PW: NR: MG: Oil & Gas Extraction

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Employment: NF: sa: PW: NR: MG: Oil & Gas Extraction [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-employment-production-worker-non-farmseasonally-adjusted/employment-nf-sa-pw-nr-mg-oil--gas-extraction
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Employment: NF: sa: PW: NR: MG: Oil & Gas Extraction data was reported at 83.400 Person th in May 2018. This records an increase from the previous number of 82.800 Person th for Apr 2018. United States Employment: NF: sa: PW: NR: MG: Oil & Gas Extraction data is updated monthly, averaging 81.100 Person th from Jan 1972 (Median) to May 2018, with 557 observations. The data reached an all-time high of 115.000 Person th in Nov 1982 and a record low of 60.200 Person th in Oct 1973. United States Employment: NF: sa: PW: NR: MG: Oil & Gas Extraction data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G031: Current Employment Statistics Survey: Employment: Production Worker: Non FarmSeasonally Adjusted.

  4. United States AHE: PW: ML: Oil & Gas Extraction

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States AHE: PW: ML: Oil & Gas Extraction [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-average-hourly-earnings-production-workers/ahe-pw-ml-oil--gas-extraction
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    United States
    Variables measured
    Wage/Earnings
    Description

    United States AHE: PW: ML: Oil & Gas Extraction data was reported at 43.800 USD in Mar 2025. This records an increase from the previous number of 43.700 USD for Feb 2025. United States AHE: PW: ML: Oil & Gas Extraction data is updated monthly, averaging 18.240 USD from Jan 1972 (Median) to Mar 2025, with 639 observations. The data reached an all-time high of 44.880 USD in May 2024 and a record low of 1.700 USD in Aug 1972. United States AHE: PW: ML: Oil & Gas Extraction data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G: Current Employment Statistics: Average Hourly Earnings: Production Workers.

  5. p

    Petroleum Products Companies in Iowa, United States - 32 Verified Listings...

    • poidata.io
    csv, excel, json
    Updated Jun 27, 2025
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    Poidata.io (2025). Petroleum Products Companies in Iowa, United States - 32 Verified Listings Database [Dataset]. https://www.poidata.io/report/petroleum-products-company/united-states/iowa
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    excel, json, csvAvailable download formats
    Dataset updated
    Jun 27, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Iowa, United States
    Description

    Comprehensive dataset of 32 Petroleum products companies in Iowa, United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  6. Oil & Gas Data - C-suite Contact Data | Global Energy Sector Executives |...

    • datarade.ai
    Updated Oct 27, 2021
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    Success.ai (2021). Oil & Gas Data - C-suite Contact Data | Global Energy Sector Executives | Verified Work Emails & Decision-maker Profiles | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/oil-gas-data-c-suite-contact-data-global-energy-sector-success-ai
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    Madagascar, Jersey, Kyrgyzstan, Grenada, Congo (Democratic Republic of the), Saint Martin (French part), United Arab Emirates, South Sudan, Curaçao, Brazil
    Description

    Success.ai’s Oil & Gas Data with B2B CEO Contact Data for Global Energy Sector Executives offers businesses a powerful solution to connect with key decision-makers, influencers, and industry leaders across the energy spectrum. Drawing from over 170 million verified professional profiles, this dataset includes work emails, phone numbers, and enriched profiles of executives in oil and gas, renewable energy, utilities, and other energy-related sectors. Whether you’re targeting CEOs, operations managers, or sustainability directors, Success.ai ensures that you have the accurate and relevant information needed for effective outreach and strategic engagement.

    Why Choose Success.ai’s Energy Sector Executive Data?

    1. Comprehensive Contact Information
    2. Access verified work emails, direct phone numbers, and LinkedIn profiles for executives and decision-makers in the global energy industry.
    3. AI-driven validation ensures 99% accuracy, providing reliable data for sales, marketing, and partnership initiatives.

    4. Global Reach Across Energy Verticals

    5. Includes profiles of leaders in oil and gas, renewable energy, utilities, nuclear power, and emerging energy technologies.

    6. Covers regions such as North America, Europe, Asia-Pacific, South America, and the Middle East, helping you connect with executives in established and emerging markets.

    7. Continuously Updated Datasets

    8. Real-time updates keep your data current, ensuring that your outreach remains timely, relevant, and competitive in a rapidly evolving industry.

    9. Ethical and Compliant

    10. Adheres to GDPR, CCPA, and other global data privacy regulations, ensuring that all outreach and engagement strategies are ethically sourced and legally compliant.

    Data Highlights

    • 170M+ Verified Professional Profiles: Includes energy sector executives, managers, and thought leaders worldwide.
    • 50M Work Emails: AI-validated for precise and effective communication.
    • 30M Company Profiles: Deep insights into energy companies and their key personnel for informed targeting.
    • 700M Global Professional Profiles: Enriched datasets to support comprehensive, scalable business strategies.

    Key Features of the Dataset:

    1. Energy Sector Decision-Maker Profiles
    2. Identify and engage with C-suite executives, operations managers, sustainability directors, and other key influencers in the energy sector.
    3. Connect with professionals who shape policy, direct investments, and lead initiatives in traditional and renewable energy fields.

    4. Advanced Filters for Precision Targeting

    5. Filter by industry segment (oil, gas, wind, solar, hydro, nuclear), company size, geographic location, and specific roles to focus your outreach on relevant contacts.

    6. Refine campaigns to maximize engagement and conversion rates.

    7. AI-Driven Enrichment

    8. Profiles enriched with actionable data deliver valuable insights, ensuring that each interaction is timely, informed, and impactful.

    Strategic Use Cases:

    1. Sales and Business Development
    2. Present technology solutions, equipment, or consulting services directly to decision-makers in the energy sector.
    3. Forge relationships with executives responsible for procurement, strategic partnerships, and operational efficiency.

    4. Marketing and Brand Awareness

    5. Launch targeted campaigns to promote energy-related software, sustainable energy solutions, or investment opportunities.

    6. Leverage accurate contact data to increase engagement and drive better campaign results.

    7. Investment and M&A Activities

    8. Connect with key players in energy startups, established utilities, and global energy conglomerates exploring mergers, acquisitions, or investment deals.

    9. Identify the right decision-makers to streamline negotiations and capital deployment.

    10. Sustainable and Renewable Energy Initiatives

    11. Engage leaders in the renewable energy space to foster partnerships, promote clean energy solutions, and encourage sustainable practices.

    12. Position your business as a strategic ally in achieving long-term environmental and economic goals.

    Why Choose Success.ai?

    1. Best Price Guarantee
    2. Access premium-quality verified data at competitive prices, ensuring maximum return on investment.

    3. Seamless Integration

    4. Incorporate the data into your CRM or marketing automation tools using APIs or custom download formats.

    5. Data Accuracy with AI Validation

    6. Trust in 99% data accuracy for confident decision-making, strategic targeting, and consistent outreach results.

    7. Customizable and Scalable Solutions

    8. Tailor datasets to meet your unique objectives, whether focusing on a specific region, energy vertical, or company size.

    APIs for Enhanced Functionality:

    1. Data Enrichment API
    2. Enrich your existing records with verified contact data for energy sector executives, improving targeting and personalization.

    3. Lead Generation API

    4. Automate lead...

  7. Texas oil and gas industry water spills 2013-2022

    • kaggle.com
    Updated Nov 20, 2023
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    Sujay Kapadnis (2023). Texas oil and gas industry water spills 2013-2022 [Dataset]. https://www.kaggle.com/datasets/sujaykapadnis/texas-oil-and-gas-industry-water-spills-2013-2022/versions/1
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 20, 2023
    Dataset provided by
    Kaggle
    Authors
    Sujay Kapadnis
    Area covered
    Texas
    Description

    For a recent Inside Climate News investigation, Martha Pskowski and Peter Aldhous wrangled data on 10,000+ wastewater spills reported by oil and gas companies to the Texas government between 2013 and 2022. These “spill logs” — obtained through public records requests, then cleaned and standardized by the journalists — correspond to more than 148 million gallons of “produced water,” a byproduct of drilling and fracking. The data indicate each spill’s date, location, facility, operator, type of operation, volume of wastewater released, volume recovered, and much more.

    Spills of produced water by the Texas oil and gas industry from 2013 to 2022

    Data and R code for the analysis underlying this Inside Climate News article, analyzing a decade of spills in Texas of produced water — which emerges from wells along with crude oil and gas during fossil fuel extraction.

    Data cleaning/processing

    Records of these spills are maintained by the Texas Railroad Commission, which regulates the state's oil and gas industry, in spreadsheets it calls “spill logs.” Through public records requests, we obtained logs held centrally by the Railroad Commission, and those held by the commission's individual district offices throughout the state.

    The data required extensive cleaning in R, OpenRefine, and Google Sheets to diagnose and fix problems including incorrectly entered dates, inconsistent units for volume, misaligned columns, duplicated entries, and multiple variants of company names, which we standardized for the largest operators. The centrally-held logs were maintained in spreadsheets with individual sheets or tabs named by month and year, allowing us to assign a month and year to any spills lacking a spill date.

    Where volumes of produced water were given as greater than or less than a particular value, we used that value. Where a range was given, we used the midpoint of that range. In a small number of cases in which the volume of water recovered was shown as greater than the volume released, we corrected the volume recovered to equal the volume released. We multiplied all volumes given in barrels by 42 to give volumes in U.S. gallons, used for our analysis.

    The spill logs documented releases of crude oil, condensates (hydrocarbons with a density less than that of crude oil), natural gas, and produced water, with some records involving spills of more than one substance simultaneously. For our analysis of spills of produced water, we filtered to remove records with no entry for the volume of produced water released, or with a value of zero, and to remove any spills that occured before or after the calendar years 2013 to 2022.

    The cleaned and filtered data is in the two data input files described below.

    Analysis

    Our analysis of the number and volume of releases of produced water based on the spill logs held centrally by the Railroad Commission is given here and in the file tx-spills-central.Rmd. A corresponding analysis for the logs held by commission's district offices is here and in the file tx-spills-district.Rmd.

    Other files/folders

    • data Input data files:

      • central_cleaned.csv Cleaned and filtered data on releases of produced water processed from the spill logs held centrally by the Texas Railroad Commission.
      • district_cleaned.csv Cleaned and filtered data on releases of produced water processed from the spill logs held by individual Railroad Commission district offices.
    • discrepancies.R Script used to find spills that seemed to be present in either the central- or district-level spill logs only, based on matching by Railroad Commission district and RRC job number/notification number. The largest of these spills were scrutinized manually against the original spreadsheet files to identify genuine mismatches between the two sets of logs.

    Questions/Feedback

    Email Peter Aldhous at peter.aldhous@insideclimatenews.org.

  8. United States Employment: NF: sa: PW: NR: MG: ex Oil & Gas

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Employment: NF: sa: PW: NR: MG: ex Oil & Gas [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-employment-production-worker-non-farmseasonally-adjusted/employment-nf-sa-pw-nr-mg-ex-oil--gas
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Employment: NF: sa: PW: NR: MG: ex Oil & Gas data was reported at 141.300 Person th in May 2018. This records a decrease from the previous number of 141.400 Person th for Apr 2018. United States Employment: NF: sa: PW: NR: MG: ex Oil & Gas data is updated monthly, averaging 175.600 Person th from Jan 1990 (Median) to May 2018, with 341 observations. The data reached an all-time high of 240.800 Person th in May 1990 and a record low of 133.700 Person th in Aug 2016. United States Employment: NF: sa: PW: NR: MG: ex Oil & Gas data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G031: Current Employment Statistics Survey: Employment: Production Worker: Non FarmSeasonally Adjusted.

  9. Forecast: Employees in Crude Petroleum and Natural Gas Extraction Sector in...

    • reportlinker.com
    Updated Apr 7, 2024
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    ReportLinker (2024). Forecast: Employees in Crude Petroleum and Natural Gas Extraction Sector in the US 2024 - 2028 [Dataset]. https://www.reportlinker.com/dataset/74c01142752f7712f80b8d654483f47a57002dca
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    Dataset updated
    Apr 7, 2024
    Dataset authored and provided by
    ReportLinker
    License

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

    Area covered
    United States
    Description

    Forecast: Employees in Crude Petroleum and Natural Gas Extraction Sector in the US 2024 - 2028 Discover more data with ReportLinker!

  10. d

    Mud logs from the Oxnard Oil Field, Ventura County, California

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Mud logs from the Oxnard Oil Field, Ventura County, California [Dataset]. https://catalog.data.gov/dataset/mud-logs-from-the-oxnard-oil-field-ventura-county-california
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    U.S. Geological Survey
    Area covered
    Ventura County, Oxnard, California
    Description

    The U.S. Geological Survey (USGS) in cooperation with the California State Water Resources Control Board (SWRCB) compiled and digitized mud logs from oil and gas wells in the Oxnard Oil Field area. Scanned copies of the mud logs were downloaded from the California Geologic Energy Management Division (CalGEM) online data and were digitized. Thirteen available mud logs associated with the Pliocene Tar Sand pool code (Vaca Tar Sand) were digitized. Mud-logging technology (mud logs) allows for identification and relative concentration measurement in parts per million by volume (ppmv) of light hydrocarbon gases (methane through pentane) occurring in drilling mud returned to the surface throughout the drilling process as well as estimates of percent oil in mud log cuttings (oil shows). The data provided here are apparent concentrations of hydrocarbon gas (methane, ethane, propane, butane, and pentane) and percent oil shows with depth. Apparent concentrations do not equal actual concentrations or presence of the compound at a given depth. Apparent concentrations reflect a digitized position on a mud log and positive values may not indicate presence of the compound; these values are reported as “mud log RAW.csv” values in this data release (see process step 1 and 2 for further description). Estimates of apparent concentration compared to other depths should be estimated by calculating the deviation with depth from the baseline or minimum value. In the larger work, the reported apparent concentrations represent a relative apparent concentration calculated from the raw digitized data for each mud log and each respective gas component (methane, ethane, propane, butane, and pentane); these value are reported as “mud log PROCESSED.csv” (see process step 3 for further description). A baseline concentration was estimated for each processed mud log and represents the minimum apparent relative gas concentration considered for evaluating the presence of the gas components (see process step 4 for further details). Values above baseline or minimum at a single discrete depth should be regarded with caution. Apparent concentration values should not be compared between sites, as minimum or baseline values result from differences in the digitizing process between sites. These data were analyzed in an accompanying manuscript as part of the SWRCB oil and gas Regional Monitoring Program and the USGS California Oil, Gas, and Groundwater (COGG) program to assess regional groundwater quality overlying and adjacent to the Oxnard Oil Field.

  11. p

    Petroleum Products Companies in Louisiana, United States - 40 Verified...

    • poidata.io
    csv, excel, json
    Updated Jun 28, 2025
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    Poidata.io (2025). Petroleum Products Companies in Louisiana, United States - 40 Verified Listings Database [Dataset]. https://www.poidata.io/report/petroleum-products-company/united-states/louisiana
    Explore at:
    csv, json, excelAvailable download formats
    Dataset updated
    Jun 28, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Louisiana, United States
    Description

    Comprehensive dataset of 40 Petroleum products companies in Louisiana, United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  12. a

    Michigan Orphan Wells

    • gis-michigan.opendata.arcgis.com
    • hub.arcgis.com
    Updated Dec 18, 2023
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    Michigan Dept. of Environment, Great Lakes, and Energy (2023). Michigan Orphan Wells [Dataset]. https://gis-michigan.opendata.arcgis.com/maps/egle::michigan-orphan-wells
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    Dataset updated
    Dec 18, 2023
    Dataset authored and provided by
    Michigan Dept. of Environment, Great Lakes, and Energy
    Area covered
    Description

    This data is visualized in the Michigan Orphan Wells Dashboard. Michigan’s Orphan Well Program was created in 1994. Orphan wells are abandoned or improperly plugged wells for which there is no known solvent existing owner or operator. EGLE’s Oil, Gas, and Minerals Division (OGMD) worked with the oil and gas industry for the passage of Act 308, P.A. 1994, which established an Orphan Well Fund within the Michigan Department of Treasury. OGMD utilizes the fund, paid for by revenue created by a severance tax on the oil and gas industry, to plug and remediate orphan well sites. Since the passage of Act 308 nearly 30 years ago, approximately 400 sites have either been plugged or remediated. As of October 1, 2022, Michigan had 447 documented orphan sites as well as additional associated orphaned facilities, piping, and contamination that remained to be addressed.Beginning October 1, 2022, OGMD began utilizing federal grant funds awarded under the Infrastructure Investment and Jobs Act (IIJA), 2021, also known as the Bipartisan Infrastructure Law Section 40601, to provide additional financial assistance for the Orphan Well Program. The IIJA created three types of grants for states to apply for to help address orphan wells and orphan facilities on federal, state, tribal, and private lands.This data also includes state funded orphan well cleanups. The orphan well data is updated nightly. A NULL in a field means that the field does not have any value.EGLE makes every attempt to ensure data accuracy but cannot guarantee the completeness or accuracy of the information contained within this dataset. For content related questions or to submit feedback, reach out to EGLE-Maps@Michigan.gov. Please visit the orphan well program in Michigan webpage for more information.

    See below for a description of the data fields. Notes: MIRBDMSNET is the Michigan EGLE-OGMD Oil and Gas Well database, which stands for: Michigan Risk Based Data Management System .net. Field Name Field Description

    OrphanGroup Funding groups for Orphan well/facility derived from MIRBDMSNET database. State= State fundedIIJA= funded through the Federal Infrastructure Investment and Jobs Act (IIJA)

    AssignedStaff OGMD staff code from MIRBDMSNET database. Codes may change as staff changes. Reach out to EGLE for current staff code list.

    OrphanCategory Category of Orphan well/facility derived from MIRBDMSNET database. Categories are 1, 2, or 3.Category 1= wells are abandoned, leaking wellsCategory 2= wells are abandoned, non-leaking wellsCategory 3= environmental remediation investigations and cleanups

    ProjectName Name of Orphan project from MIRBDMSNET database.

    ProjectType Type of Orphan Project from MIRBDMSNET databaseindividual=individual plugging projectmultiple=multiple well plugging projectwellandfac= well and facility decommissioning and site restoration projects

    ProjectScore Score for orphan project from MIRBDMSNET database. Scores are derived from separate form filled out by the orphan well team to take into account many risk factors to gauge the overall risk. A higher score indicates a higher risk and therefore a higher priority level.

    IndividualScore Individual well/facility score from MIRBDMSNET database. Scores are derived from separate form filled out by the orphan well team to take into account many risk factors to gauge the overall risk. A higher score indicates a higher risk and therefore a higher priority level.

    MichiganPermitNumber Well permit number from MIRBDMSNET.

    PN_WELLSN Well permit number from MIRBDMSNET.

    PN_WELLST Well permit number from MIRBDMSNET. For labeling purposes.

    Well_Name Well name from MIRBDMSNET.

    MichiganFacilityNumber Facility number from MIRBDMSNET.

    FACN2 Facility number from MIRBDMSNET. For labeling purposes.

    FacilityName Facility name from MIRBDMSNET.

    LABEL Combined labels for both wells and facilities. This is derived from other columns.

    STATUS Status of well or facility derived from MIRBDMSNET.

    Data_Element Type of object in Orphan list- well or facility- derived from MIRBDMSNET. Either an orphan facility or an orphan well.

    Element_Status Status of orphan object- well or facility- derived from MIRBDMSNET.Active= not plugged or removedPlugged=well is pluggedComplete=facility is removed.

    US_Well_ID_API API number for wells, derived from MIRBDMSNET

    WellID_DataSource Source of well ID- always "API".

    WellType Type of well, derived from MIRBDMSNET.

    CountyName County location of well/facility, derived from MIRBDMSNET.

    TownshipName Township location of well/facility, derived from MIRBDMSNET.

    TRS Section, township, range location of well/facility, derived from MIRBDMSNET.

    Quarter Quarter location of well/facility, derived from MIRBDMSNET.

    QuarterQuarter Quarter quarter location of well/facility, derived from MIRBDMSNET.

    QuarterQuarterQuarter Quarter quarter quarter location of well/facility, derived from MIRBDMSNET.

    DTD Drilled total depth of well in ft, derived from MIRBDMSNET.

    TVD Total vertical depth of well in ft, derived from MIRBDMSNET.

    FieldName Field name associated with well/facility, derived from MIRBDMSNET.

    FieldType Type of field associated with well/facility, derived from MIRBDMSNET.G=gasO=oilGS= gas storage

    ProducingFormation The geologic formation associated with well/facility, derived from MIRBDMSNET.

    Year Year well or facility established, derived from MIRBDMSNET.

    Company Last company to own well/facility, derived from MIRBDMSNET.

    Longitude Longitude location of well/facility, derived from MIRBDMSNET.

    Latitude Latitude location of well/facility, derived from MIRBDMSNET.

    HorizontalDatum Horizontal datum of well/facility. Always "Nad83", derived from MIRBDMSNET.

    LocationAccuracy Source of location information, derived from MIRBDMSNET.

    RemedialAction Describes if remedial action required. derived from MIRBDMSNET database. Options are Yes, No, NA.

    StateHouse State house number where well/facility is located, derived from MIRBDMSNET database.

    StateSenate State senate number where well/facility is located, derived from MIRBDMSNET database.

    SurfaceManagEntityType Surface managing entity type, derived from MIRBDMSNET database. Options are:PrivateStateFederalTribeMixed

    SubsurfaceManagEntityType Subsurface managing entity type, derived from MIRBDMSNET database. Options are:PrivateStateFederalTribeMixed

    State Always "Michigan", derived from MIRBDMSNET database.

    Tribe Tribe involved in orphan project, derived from MIRBDMSNET database.

    BayMills: Bay Mills Indian CommunityGTraverse: Grand Traverse Band of Ottawa and ChippewaHannahville: Hannahville Indian CommunityKeweenaw: Keweenaw Bay Indian CommunityLacVieux: Lac Vieux Desert Band of Lake Superior ChippewaLittleRiver: Little River Band of OttawaLTraverse: Little Traverse Bay Bands of OdawaMatch: Match E Be Nash She Wish Band of PotawatomiNottaw: Nottawaseppi Huron Band of PotawatomiPokagon: Pokagon Band of PotawatomiSaginaw: Saginaw ChippewaSaultSteMarie: Sault Ste Marie Tribe of Chippewa

    PrePlugMethaneMeas Measurement of methane pre-plugging, derived from MIRBDMSNET database. Unit is grams/hour or g/hr.

    PostPlugMethaneMeas Measurement of methane post-plugging, derived from MIRBDMSNET database. Unit is grams/hour or g/hr.

    MethaneMeasMethod Method for measuring methane, derived from MIRBDMSNET database. Options are:AVO: Audio, Visual, and OlfactoryOGI: Optical Gas ImageryHandheldMass SamplingNA

    HabitatRestored Was habitat restored?, derived from MIRBDMSNET database. Options are Yes, No, NA.

    AmountHabitatRestored Amount of habitat restored, derived from MIRBDMSNET database. In Acres.

    RestorationEndpoint Description of final restoration, derived from MIRBDMSNET database.

    DateRestoreComplete Date restoration was completed, derived from MIRBDMSNET database.

    SurfWtrContamination Does surface water contamination exist?, derived from MIRBDMSNET database. Options are Yes, No, TBD.

    SurfWtrContamIndicator Kind of testing indicating surface water contamination, derived from MIRBDMSNET database. Options are AVO (Audio, Visual, and Olfactory), Sample, or NA.

    SurfWtrRemediation Is surface water remediation needed?, derived from MIRBDMSNET database. Options are Yes, No, TBD, or NA.

    SurfWtrRemedMethod Describe method for surface water remediation, derived from MIRBDMSNET database.

    SurfWtrRemedCompleteDate Date surface water remediation was completed, derived from MIRBDMSNET database.

    GroundWtrContamination Does ground water contamination exist?, derived from MIRBDMSNET database. Options are Yes, No, TBD.

    GroundWtrContamIndicator Kind of testing indicating ground water contamination, derived from MIRBDMSNET database. Options are AVO (Audio, Visual, and Olfactory), Sample, or NA.

    GroundWtrRemediation Is ground water remediation needed?, derived from MIRBDMSNET database. Options are Yes, No, TBD, or NA.

    GroundWtrRemedMethod Describe method for ground water remediation, derived from MIRBDMSNET database.

    GroundWtrRemedCompleteDate Date ground water remediation was completed, derived from MIRBDMSNET database.

    CommunityImpact Does this location have community impact, derived from MIRBDMSNET database. Options are Yes, No, TBD, NA. From the US-DOI: " Indicates whether this

  13. U

    National Assessment of Oil and Gas Project Bighorn Basin (5034) Quarter-Mile...

    • data.usgs.gov
    • search.dataone.org
    • +4more
    Updated Feb 24, 2024
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    United States Geological Survey (2024). National Assessment of Oil and Gas Project Bighorn Basin (5034) Quarter-Mile Cells [Dataset]. http://doi.org/10.5066/P9ABI6YF
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    Dataset updated
    Feb 24, 2024
    Dataset authored and provided by
    United States Geological Surveyhttp://www.usgs.gov/
    License

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

    Time period covered
    2008
    Area covered
    Bighorn Basin
    Description

    Cell maps for each oil and gas assessment unit were created by the USGS to illustrate the degree of exploration, type of production, and distribution of production in an assessment unit or province. Each cell represents a quarter-mile square of the land surface, and the cells were then coded to indicate whether the wells included within the cell are predominantly oil-producing, gas-producing, are both oil- and gas-producing, or are dry or the type of production is unknown. The well information was initially retrieved from the IHS Energy Group, PI/Dwights PLUS Well Data on CD-ROM, which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary PI/Dwights PLUS Well Data. No proprietary data are displayed or included in the cell maps. The data from PI/Dwights PLUS Well Data were current as of 2004 when the cell maps were created in 2007.

  14. W

    Native American Training Program in Petroleum Technology

    • cloud.csiss.gmu.edu
    html
    Updated Aug 8, 2019
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    The citation is currently not available for this dataset.
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Aug 8, 2019
    Dataset provided by
    Energy Data Exchange
    Description

    This report outlines a comprehensive training program for members of Native American tribes whose lands have oil and gas resources. The program has two components: short courses and internships. Programs are proposed for: (1) adult tribes representatives who are responsible for managing tribal mineral holdings, setting policy, or who work in the oil and gas industry; (2) graduate and undergraduate college students who are tribal members and are studying in the appropriate fields; and (3) high school and middle school teachers, science teachers. Materials and program models already have been developed for some components of the projects. The plan is a coordinated, comprehensive effort to use existing resources to accomplish its goals. Partnerships will be established with the tribes, the BIA, tribal organizations, other government agencies, and the private sector to implement the program.

  15. United States Employment: NF: PW: CO: Oil & Gas Pipeline Construction

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). United States Employment: NF: PW: CO: Oil & Gas Pipeline Construction [Dataset]. https://www.ceicdata.com/en/united-states/current-employment-statistics-survey-employment-production-worker-non-farm/employment-nf-pw-co-oil--gas-pipeline-construction
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Employment: NF: PW: CO: Oil & Gas Pipeline Construction data was reported at 123.200 Person th in May 2018. This records an increase from the previous number of 115.100 Person th for Apr 2018. United States Employment: NF: PW: CO: Oil & Gas Pipeline Construction data is updated monthly, averaging 70.700 Person th from Jan 1990 (Median) to May 2018, with 341 observations. The data reached an all-time high of 136.700 Person th in Oct 2014 and a record low of 52.000 Person th in Jan 1994. United States Employment: NF: PW: CO: Oil & Gas Pipeline Construction data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.G030: Current Employment Statistics Survey: Employment: Production Worker: Non Farm.

  16. Automated oil vapor inhalation exposure system

    • data.virginia.gov
    • healthdata.gov
    • +1more
    Updated Nov 20, 2024
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    Centers for Disease Control and Prevention (2024). Automated oil vapor inhalation exposure system [Dataset]. https://data.virginia.gov/dataset/automated-oil-vapor-inhalation-exposure-system
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    Dataset updated
    Nov 20, 2024
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    In August 2020 there were over 186,000 employees in the oil and gas extraction industry in the United States (United States Department of Labor. Bureau of Labor Statistics, 2020). Many workers in the upstream oil extraction industry have potential risk of crude oil vapor (COV) inhalation. There are many current knowledge gaps regarding the health effects from inhalation of complex mixtures found in crude oil vapors. To aid research in filling these gaps, an automated system that could carefully deliver and control the COV concentration within an animal inhalation exposure chamber was needed. The objective of this project was to develop an automated computer-controlled system to expose small laboratory animals to precise concentrations of crude oil vapor (COV).

  17. p

    Petroleum Products Companies in Utah, United States - 18 Verified Listings...

    • poidata.io
    csv, excel, json
    Updated Jul 2, 2025
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    Poidata.io (2025). Petroleum Products Companies in Utah, United States - 18 Verified Listings Database [Dataset]. https://www.poidata.io/report/petroleum-products-company/united-states/utah
    Explore at:
    excel, json, csvAvailable download formats
    Dataset updated
    Jul 2, 2025
    Dataset provided by
    Poidata.io
    Area covered
    Utah, United States
    Description

    Comprehensive dataset of 18 Petroleum products companies in Utah, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

  18. Employment by industry, annual

    • www150.statcan.gc.ca
    • open.canada.ca
    • +2more
    Updated Mar 27, 2025
    + more versions
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    Government of Canada, Statistics Canada (2025). Employment by industry, annual [Dataset]. http://doi.org/10.25318/1410020201-eng
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    Dataset updated
    Mar 27, 2025
    Dataset provided by
    Government of Canadahttp://www.gg.ca/
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Number of employees by North American Industry Classification System (NAICS) and type of employee, last 5 years.

  19. 2025 Green Card Report for Mining Quarrying and Oil and Gas Extractio

    • myvisajobs.com
    Updated Jan 16, 2025
    + more versions
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    MyVisaJobs (2025). 2025 Green Card Report for Mining Quarrying and Oil and Gas Extractio [Dataset]. https://www.myvisajobs.com/reports/green-card/industry/mining-quarrying-and-oil-and-gas-extraction1/
    Explore at:
    Dataset updated
    Jan 16, 2025
    Dataset provided by
    MyVisaJobs.com
    Authors
    MyVisaJobs
    License

    https://www.myvisajobs.com/terms-of-service/https://www.myvisajobs.com/terms-of-service/

    Variables measured
    Salary, NAICS Industry, Petitions Filed
    Description

    A dataset that explores Green Card sponsorship trends, salary data, and employer insights for mining quarrying and oil and gas extractio in the U.S.

  20. Business bankruptcies and liabilities, by North American Industry...

    • open.canada.ca
    • data.urbandatacentre.ca
    • +4more
    csv, html, xml
    Updated Jan 17, 2023
    + more versions
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    Statistics Canada (2023). Business bankruptcies and liabilities, by North American Industry Classification System (NAICS), Annual [Dataset]. https://open.canada.ca/data/en/dataset/6e1483a8-a01b-4fb3-bf45-13e92eac3f65
    Explore at:
    csv, html, xmlAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

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

    Description

    This table contains 588 series, with data for years 2004 - 2007 (not all combinations necessarily have data for all years), and was last released on 2008-06-12. This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Canada; Newfoundland and Labrador; Nova Scotia; Prince Edward Island ...), Bankruptcies (2 items: Business bankruptcies; Value of liabilities ...), North American Industry Classification System (NAICS) (21 items: Total; all industries; Mining and oil and gas extraction; Utilities; Agriculture; forestry; fishing and hunting ...).

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(2025). All Employees, Oil and Gas Extraction [Dataset]. https://fred.stlouisfed.org/series/CES1021100001

All Employees, Oil and Gas Extraction

CES1021100001

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5 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Jun 6, 2025
License

https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

Description

Graph and download economic data for All Employees, Oil and Gas Extraction (CES1021100001) from Jan 1972 to May 2025 about extraction, logging, oil, mining, gas, establishment survey, employment, and USA.

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