Generates reports on mine's ownership, inspections, accidents, violations, VPID, POV, and Health Samples history. 20 various flat files, uploaded every Friday, are under section Explore MSHA Datasets.

Lists all Coal and Metal/Non-Metal mines under MSHA's jurisdiction. Including current status of each mine (Active, Abandoned, Nonproducing, etc.), the current owner and operating company, commodity codes and physical attributes of the mine. Mine ID is the unique key for this data. (Includes Abandoned or Abandoned and Sealed Mines)

The Inflation Reduction Act of 2022 (IRA) became law on August 8, 2022. Under the law, new qualifying renewable and/or carbon-free electricity generation projects constructed in certain areas of the US, called energy communities, are eligible for bonus worth an additional 10% to the value of the production tax credit or a 10 percentage point increase in the value of the investment tax credit. The IRA does not explicitly map or list these specific communities. Instead, eligible communities are defined by a series of qualifications:

1. a brownfield site,
2. a metropolitan statistical area (MSA) or non-metropolitan statistical area with either (a) 0.17% or greater employment or (b) 25% or greater local tax revenues related to the extraction, processing, transport, or storage of coal, oil, or natural gas; and an unemployment rate at or above the national average for the previous year, or
3. a census tract containing or adjacent to (a) a coal mine closed after December 31, 1999 or (b) a coal-fired electric generating unit retired after December 31, 2009.

These maps and data layers contain GIS data for coal mines, coal-fired power plants, fossil energy related employment, and brownfield sites. Each record represents a point, tract or metropolitan statistical area and non-metropolitan statistical area with attributes including plant type, operating information, GEOID, etc. The input data used includes:

1. Brownfields – Source: EPA. No analysis was performed on this data layer. However, tract polygon layers have a column denoting brownfield presence (0 for no brownfield site, 1 if the tract contains a brownfield somewhere within the polygon).
2. Eligible Employment MSAs (“Final_Employment_Qualifying_MSAs”) – Source: US Census County Business Patterns. MSAs and non-MSA regions with employment over 0.17% in the fossil fuel industry (defined here as NAICS codes 211, 2121, 213, 23712, 324, 4247, and 486) and unemployment greater than or equal to 3.9% (the average national unemployment rate in 2021, according to the Bureau of Labor Statistics).

--Possibly Eligible MSAs (“FossilFuel_Employment_Qualifying_MSAs”) are MSA and non-MSA regions that meet or exceed the 0.17% employment in the fossil fuel industry threshold but do not exceed the unemployment threshold.

--Relevant columns include:

a) SUM_nhgis0: Total employment in 2020.

b) SUM_nhgis1: Total unemployment in 2020.

c) P_Unemp: Percent unemployment in 2020.

d) Q_Unemp: Boolean column indicating if the MSA or non-MSA’s unemployment rate is at or above the national average of 3.9%.

e) FF_Qual: Boolean column indicating if the MSA or non-MSA had employment in the fossil fuel industry at or above 0.17% in the past 11 years.

f) final_Qual: Boolean column indicating if an MSA or non-MSA qualifies for both unemployment rate and fossil fuel employment under the IRA.

1. Retired Power Plants – Source: EIA via HFLID. Qualifying power plants were selected by use of coal in at least one generator, and if they were retired (RET_DATE) on or after January 1, 2010. This data goes through December 2021.

--Adjacent tract data was derived by Cecelia Isaac using ESRI ArcGIS Pro.

1. Abandoned Coal Mines – Source: MSHA. Mines labeled “Abandoned”, “Abandoned and Sealed” or “NonProducing” between January 1, 2000 and September 2022.

--Adjacent tract data was derived by Cecelia Isaac using ESRI ArcGIS Pro.

5) US State Borders– Source: IPUMS NHGIS.

Also included here are polygon shapefiles for Onshore Wind and Solar Candidate Project Areas from Princeton REPEAT. These files have been updated to include columns related to the energy communities.

New columns include:

1. CoalPlantTract: Boolean column indicating if the CPA is within a tract that qualifies because of a retired coal plant.
2. CoalMineTract: Boolean column indicating if the CPA is within a tract that qualifies because of a closed coal mine.
3. FossilFuelEmp: Boolean column indicating if the CPA is within an MSA or non-MSA with greater than or equal to 0.17% employment in the fossil fuel industry.
4. UnempQualification: Boolean column indicating if the CPA is within an MSA or non-MSA with greater than or equal to 0.17% employment in the fossil fuel industry.
5. MSA_non_to: The code of the MSA or non-MSA area that contains the CPA.
6. P_Unemp: The percent unemployment of the MSA or non-MSA that contains the CPA in 2021.

Automatic data processing in the Hydrogeology Section of the Mines Department is considered a necessity. A computer-orientated system is proposed with details of data coding and card formats. It is recommended that the proposed system be given a... Automatic data processing in the Hydrogeology Section of the Mines Department is considered a necessity. A computer-orientated system is proposed with details of data coding and card formats. It is recommended that the proposed system be given a trial run on the borehole data for County Robe so that technical and administration problems of conversion can be analysed and solved. It is here recommended that a contractor be asked to assist in the conversion techniques, and in providing explanation notes for geologists on the magnetic tape data retrieval system, with particular reference to usable and dead storage. It is not considered advisable to leave the final operation of the system to a consulting body. A Geomathematics Data Processing Section within the Mines Department could operate this and other systems of geodata storage and retrieval.

Mine Management System Market Outlook

The global mine management system market size was valued at approximately $3.5 billion in 2023 and is projected to reach around $6.8 billion by 2032, growing at a CAGR of 7.5% during the forecast period. This significant growth is driven by factors such as the increasing adoption of digital solutions and automation in mining operations, stringent safety regulations, and the rising importance of efficient resource extraction.

One of the primary growth drivers is the ongoing digital transformation in the mining sector. The integration of advanced technologies such as IoT, AI, and big data analytics is reshaping traditional mining operations. Companies are increasingly investing in sophisticated mine management systems to enhance operational efficiency, ensure safety, and optimize resource management. The adoption of these technologies facilitates real-time monitoring, predictive maintenance, and automation of various mining processes, thereby reducing operational costs and downtime.

The emphasis on safety and regulatory compliance is another critical factor propelling the market growth. Governments and regulatory bodies worldwide are enforcing stringent safety guidelines to mitigate mining hazards. Mine management systems equipped with advanced safety features, including real-time monitoring and automated alerts, help mining companies comply with these regulations while ensuring the safety of their workforce. This compliance not only reduces the risk of accidents but also enhances the overall reputation and reliability of mining operations.

Moreover, the increasing demand for minerals and metals driven by rapid urbanization and industrialization is fueling the need for efficient mine management systems. As the global population continues to grow and urban areas expand, the demand for construction materials, energy resources, and technological devices rises. This surge in demand necessitates the extraction of minerals and metals in a more efficient and environmentally sustainable manner, which in turn drives the adoption of advanced mine management systems.

In the realm of mining operations, the role of Mine Design Software has become increasingly pivotal. This software facilitates the creation of detailed and accurate mine designs, which are essential for efficient resource extraction and operational planning. By leveraging advanced algorithms and data analytics, mine design software enables mining companies to simulate various mining scenarios, assess potential risks, and optimize the layout of their operations. The ability to visualize and plan every aspect of a mining project before actual execution helps in minimizing costs and maximizing resource utilization. As the mining industry continues to embrace digital transformation, the integration of mine design software into mine management systems is becoming a standard practice, driving further advancements in mining efficiency and safety.

Regionally, Asia Pacific dominates the mine management system market, driven by the presence of major mining countries such as China, Australia, and India. The region's growth is attributed to the extensive mining activities, significant investments in mining infrastructure, and the adoption of advanced technologies. North America and Europe are also significant markets due to their strong regulatory frameworks and focus on sustainable mining practices. Latin America and the Middle East & Africa are experiencing moderate growth, supported by increasing mining activities and investments in mining projects.

Component Analysis

The mine management system market is segmented by components into software, hardware, and services. The software segment includes various applications such as fleet management, workforce management, and data analytics. This segment is anticipated to witness substantial growth due to the rising adoption of advanced software solutions that enable real-time monitoring, predictive maintenance, and data-driven decision-making. Mining companies are increasingly leveraging software to optimize their operations, reduce costs, and enhance productivity.

The hardware segment comprises equipment such as sensors, communication devices, and control systems. The demand for robust and reliable hardware components is driven by the need for seamless integration of various technologies within the mining environment. Hardware components play a crucial role in ensurin

The US Department of Energy (DOE) Morgantown Energy Technology Center has implemented a comprehensive program to demonstrate the technical and economic viability of coalbed methane as an energy resource. The program is directed toward solution of technical and institutional problems impeding the recovery and use of large quantities of methane contained in the nation's minable and unminable coalbeds. Conducted in direct support of the DOE Methane Recovery from Coalbeds Project, this study analyzes the economic aspects of a horizontal borehole methane recovery system integrated as part of a longwall mine operation. It establishes relationships between methane selling price and annual mine production, methane production rate, and the methane drainage system capital investment. Results are encouraging, indicating that an annual coal production increase of approximately eight percent would offset all associated drainage costs over the range of methane production rates and capital investments considered.

AbstractThis map shows the location and status of Australian operating mines, mines under development and mines under care and maintenance as at December 2024. Operating mines represent projects that were operational as at December 2024. Developing mines are deposits where the project has a positive feasibility study, development has commenced or all approvals have been received. Mines under care and maintenance represent those projects with known resource estimations where production has ceased but the site is managed to ensure it remains in a safe and stables condition, with potential to recommence operations in the future.CurrencyDate Modified: 1 February 2025Modification Frequency: AnnuallyData ExtentSpatial ExtentNorth: -10.0°South: -44.0°East: 156.0°West: 105.0°Source InformationThe Australian Operating Mines Map and Data (2024) is available in different formats from the Geoscience Australia"s Product Catalogue.Catalogue Entry: Australian Operating Mines Map 2024Lineage StatementThis dataset was created by the Minerals, Energy and Groundwater Division from Geoscience Australia.Note: The Digital Atlas of Australia downloaded the Australian Operating Mines Map Data 2024 (XLSX) in April 2025; this was then converted into a Point Feature Class using Geoprocessing tools in ArcGIS Pro. No alterations were made to the content of the data.Data DictionaryAttribute nameDescriptionOBJECTIDAutomatically generated system IDNameThe name of the mineStateThe name of Australian State or Territory that the power station site is located in; the full name is abbreviated to 2 or 3 letters all capitals.LattitudeDescribes the latitude of the mine site. All latitudes are in decimal form.LongitudeDescribes the longitude of the mine site. All longitudes are in decimal form.StatusDescribes the operating status for the mine. There are 3 possible operating statuses: Operating mines represent projects that have reported production as at December 2024. Mines under development represent projects that have a completed positive definitive feasibility study, development has commenced, or all approvals have been received. Mines under care and maintenance represent those projects with known resource estimations where production has ceased but the site is managed to ensure it remains in a safe and stable condition, with potential to recommence operations in the future.Commodity GroupRepresents the resource that is being mined at the particular location. They are broadly categorised as: Base metals, Battery/Alloy Metals, Bauxite, Coal, Diamond, Fertiliser elements, Graphite, Heavy mineral sands, High-purity elements, Iron ore, Magnesium, Manganese, Precious Metals, Rare earth elements, Tin, Tungsten, Uranium. - Major Elements being mined are shown outside of brackets (minor elements in brackets).ContactGeoscience Australia, clientservices@ga.gov.au

Abstract This dataset and its metadata statement were supplied to the Bioregional Assessment Programme by a third party and are presented here as originally supplied. These data represent the OZMIN Oracle relational database containing geological and resource information for Australian mineral deposits. OZMIN has been compiled from published references and has been designed so that attribute information can be retrieved and analysed in relation to spatial data contained in geographic information systems. The national mineral deposits dataset contains data on over one thousand major and historically significant mineral deposits for 60 mineral commodities (including coal). Extracted from the Australian Mines Atlas - 24 July 2013 ## Dataset History The data within this dataset is derived directly from the corporate ORACLE OZMIN Mineral Deposits database. An ASCII extraction of the Geoscience Australia ORACLE database is generated as ASCII comma-delimited files for each table that is part of or used by the OZMIN database. Only data that is part of the current release of OZMIN (Release 3 - October 2000) is included. An MS ACCESS database format is also replicated from the ORACLE database and uses the same table structure. Only data that is part of the current release of OZMIN (Release 3 - October 2000) is included. The spatial representation of this database in (ArcView and MapInfo format) is extracted and generated using ArcInfo GIS software to meet the published data standard within the Geoscience Australia. The extraction of the spatial GIS datasets is done within ArcInfo using advanced AML code (ORACOV.AML) developed by Dmitar Butrovski, Geoscience Australia. Extracted from the Australian Mines Atlas - 24 July 2013 Original source metadata: http://www.ga.gov.au/metadata-gateway/metadata/record/gcat_a05f7892-b68d-7506-e044-00144fdd4fa6/OZMIN+Mineral+Deposits+Database ## Dataset Citation Geoscience Australia (2013) Australian Mineral Deposits. Bioregional Assessment Source Dataset. Viewed 27 November 2017, http://data.bioregionalassessments.gov.au/dataset/14e96462-b029-469a-9af8-06410f39589b.

Digital survey and interview data for Ph.D. research project on social-ecological reclamation of oil sands mine sites and adaptive management in site and regional reclamation. Data collected as requirement of Ph.D. project. Selected participants data submitted based on consent for long-term data storage. Dataset contains digital survey and interview data with participants that approved long-term storage of their data. Keywords: adaptive management; mine reclamation; oil sands; social-ecological system; Alberta; Canada Digital survey and interview transcription from 10 of 17 participants

Permit or Lease - Mineral Estate includes a variety of permits or leases including Oil and Gas Lease, Shallow Gas Lease, Exploration License, Geothermal Permit or Lease, Mining Lease, Offshore Prospecting Permit or Lease, Coal Prospecting Permit or Lease.

This shape file characterizes the geographic representation of land parcels within the State of Alaska contained by the Mineral Estate-Mineral Permit or Lease category. It has been extracted from data sets used to produce the State status plats. This data set includes cases noted on the digital status plats up to one day prior to data extraction.

Each feature has an associated attribute record, including a Land Administration System (LAS) file-type and file-number which serves as an index to related LAS case-file information. Additional LAS case-file and customer information may be obtained at: http://dnr.alaska.gov/projects/las/ Those requiring more information regarding State land records should contact the Alaska Department of Natural Resources Public Information Center directly.