The Development of Assessment Techniques and Analysis Project (DATAPII) objective is to modernize the application and development of USGS mineral resource and integrated multiresource assessment methodologies and capacity that are applicable at a variety of spatial and temporal scales, and national and international in scope.
Science Issue and Relevance
Mineral resource assessments provide government and industry leaders with information about undiscovered resources in terms of potential occurrence, distribution, type, quality, amount, value, and certainty in assessment results. The USGS needs to expand expertise and build additional capacity and methodology to undertake quantitative and qualitative mineral resource assessments. Since the development and wide-acceptance of the 3-Part form of assessment, geospatial technologies and statistical techniques have become fundamental to resource assessment and exploration targeting. These can better integrate mineralizing system concepts into existing USGS assessment methods, as well as provide a foundation on which to build new assessment approaches, methods, and tools. Sustained research, development, and application are needed to continue and expand USGS approaches to qualitative and quantitative mineral resource and integrated multiresource assessments.
Methodology to Address Issue
This project is an ongoing effort under which project personnel work to maintain and innovate USGS capacity in mineral resource assessment science. Refinements and reprioritizations are driven by both internal (software update needs, new geospatial technologies, additional geostatistical and coding capacity, minerals-system approach application) and external factors (national priorities related to critical and strategic minerals, green technologies and energy, alternative sources for mineral resources).
- Methods / Data / Tools - research and development into refining existing and developing new assessment methodologies and techniques
- Training - instruction and demonstration of resource assessment approaches through short courses
- Assessments - conduct mineral resource assessments
- Big Data - utilize various statistical, geostatistical, quantitative and qualitative methods, including "Big Data" analytics
and Machine Learning techniques
Since the project's launch in 2015, project personnel have:
- developed a new methodology and implemented an operation Monte Carlo simulation tool,
- created various geospatial tools to facilitate resource assessment,
- made advances towards developing economic filters for evaluating quantitative assessment results,
- explored and applied techniques for quantitative assessments of strataiform mineral deposit types,
- conducted, facilitated, and participated in domestic and internal resource assessment efforts,
- developing training materials and provided training in resource assessment for USGS and cooperators,
- developed mineral deposit inventory databases and descriptive and grade-tonnage models,
- collaborative efforts developed and continued both within USGS and with other country geological surveys and research institutes
- published widely on a range of topics, including quantitative mineral resource assessment methods, mineral and multi-resource assessment results, mineral deposit studies and deposit models, critical minerals, remote-sensing applications to mineral resource assessment, and minerals supply.
Data Releases (see the Data and Tools tab for other data releases)
Hammarstrom, J.M., Zientek, M.L. and Parks, H.L., 2018, Global Mineral Resource Assessment: Summary simulation results for estimates of amounts of copper in undiscovered porphyry copper deposits: U.S. Geological Survey data release, https://doi.org/10.5066/F70K26Q4.
Below are other science projects associated with this project.
Uranium Mineral Systems
New Mineral Deposit Models for Gold, Phosphate Rare Earth Elements, and Placer Rare Earth Element-Titanium Resources
Sagebrush Mineral Resource Assessment
Global Mineral Resource Assessments
Below are data releases associated with this project.
Rare Earth Element Occurrences in the United States
GIS and Data Tables for Focus Areas for Potential Domestic Nonfuel Sources of Rare Earth Elements
Rhenium Occurrences in the United States
Database of significant deposits of gold, silver, copper, lead, and zinc in Alaska
Electron microprobe data for monazite and xenotime used in consideration of gold deposit formation models (ver. 2.0, May 2023)
Rare Earth Element Occurrence Database of the Tien Shan Region, Central Asia
Below are publications associated with this project.
Assessment of undiscovered copper resources of the world, 2015
Resource Assessment Economic Filter (RAEF)—A graphical user interface supporting implementation of simple engineering mine cost analyses of quantitative mineral resource assessment simulations
Effect of size-biased sampling on resource predictions from the three-part method for quantitative mineral resource assessment—A case study of the gold mines in the Timmins-Kirkland Lake area of the Abitibi greenstone belt, Canada:
User’s guide for Assessment Tract Aggregation GUI (ATA GUI)—A graphical user interface for the AggtEx.fn R script
World distribution of uranium deposits
User’s guide for MapMark4GUI—A graphical user interface for the MapMark4 R package
Quartz-pebble-conglomerate gold deposits: Chapter P in Mineral deposit models for resource assessment
Element migration of pyrites during ductile deformation of the Yuleken porphyry Cu deposit (NW-China)
Rare earth element and rare metal inventory of central Asia
Assessment of undiscovered resources in calcrete uranium deposits, Southern High Plains region of Texas, New Mexico, and Oklahoma, 2017
New method to integrate remotely sensed hydrothermal alteration mapping into quantitative mineral resource assessments
Geology and undiscovered resource assessment of the potash-bearing Pripyat and Dnieper-Donets Basins, Belarus and Ukraine
Below are data releases associated with this project.
- Overview
The Development of Assessment Techniques and Analysis Project (DATAPII) objective is to modernize the application and development of USGS mineral resource and integrated multiresource assessment methodologies and capacity that are applicable at a variety of spatial and temporal scales, and national and international in scope.
Science Issue and Relevance
Mineral resource assessments provide government and industry leaders with information about undiscovered resources in terms of potential occurrence, distribution, type, quality, amount, value, and certainty in assessment results. The USGS needs to expand expertise and build additional capacity and methodology to undertake quantitative and qualitative mineral resource assessments. Since the development and wide-acceptance of the 3-Part form of assessment, geospatial technologies and statistical techniques have become fundamental to resource assessment and exploration targeting. These can better integrate mineralizing system concepts into existing USGS assessment methods, as well as provide a foundation on which to build new assessment approaches, methods, and tools. Sustained research, development, and application are needed to continue and expand USGS approaches to qualitative and quantitative mineral resource and integrated multiresource assessments.
Methodology to Address Issue
This project is an ongoing effort under which project personnel work to maintain and innovate USGS capacity in mineral resource assessment science. Refinements and reprioritizations are driven by both internal (software update needs, new geospatial technologies, additional geostatistical and coding capacity, minerals-system approach application) and external factors (national priorities related to critical and strategic minerals, green technologies and energy, alternative sources for mineral resources).
- Methods / Data / Tools - research and development into refining existing and developing new assessment methodologies and techniques
- Training - instruction and demonstration of resource assessment approaches through short courses
- Assessments - conduct mineral resource assessments
- Big Data - utilize various statistical, geostatistical, quantitative and qualitative methods, including "Big Data" analytics
and Machine Learning techniques
Since the project's launch in 2015, project personnel have:
- developed a new methodology and implemented an operation Monte Carlo simulation tool,
- created various geospatial tools to facilitate resource assessment,
- made advances towards developing economic filters for evaluating quantitative assessment results,
- explored and applied techniques for quantitative assessments of strataiform mineral deposit types,
- conducted, facilitated, and participated in domestic and internal resource assessment efforts,
- developing training materials and provided training in resource assessment for USGS and cooperators,
- developed mineral deposit inventory databases and descriptive and grade-tonnage models,
- collaborative efforts developed and continued both within USGS and with other country geological surveys and research institutes
- published widely on a range of topics, including quantitative mineral resource assessment methods, mineral and multi-resource assessment results, mineral deposit studies and deposit models, critical minerals, remote-sensing applications to mineral resource assessment, and minerals supply.
Data Releases (see the Data and Tools tab for other data releases)
Hammarstrom, J.M., Zientek, M.L. and Parks, H.L., 2018, Global Mineral Resource Assessment: Summary simulation results for estimates of amounts of copper in undiscovered porphyry copper deposits: U.S. Geological Survey data release, https://doi.org/10.5066/F70K26Q4.
- Science
Below are other science projects associated with this project.
Uranium Mineral Systems
To assure adequate uranium to supply electricity from nuclear power, the US Geological Survey is working to better understand the genetic controls, distribution, and quantities of domestic uranium. Because of the heavy reliance on imported uranium, scientists also lead international groups of uranium resource experts to monitor world uranium supply. This research benefits the mining industry...New Mineral Deposit Models for Gold, Phosphate Rare Earth Elements, and Placer Rare Earth Element-Titanium Resources
USGS Mineral Deposit Models are "an organized arrangement of information describing the essential characteristics or properties of a class of mineral deposits. Models themselves can be classified according to their essential attributes (for example: descriptive, grade-tonnage models, genetic, geoenvironmental, geophysical, probability of occurrence, and quantitative process models)." (Stoeser and...Sagebrush Mineral Resource Assessment
The USGS Mineral Resources Program completed a comprehensive assessment and inventory of potential mineral resources covering approximately10 million acres of federal and adjacent lands in Oregon, Idaho, Nevada, Utah, Wyoming and Montana.Global Mineral Resource Assessments
In response to the growing demand for information on the global mineral-resource base, the U.S. Geological Survey (USGS) completed assessments for undiscovered resources of porphyry and sediment-hosted copper, platinum-group elements, and potash. - Data
Below are data releases associated with this project.
Rare Earth Element Occurrences in the United States
This data release provides descriptions of more than 200 mineral districts, mines, and mineral occurrences (deposits, prospects, and showings) within the United States that are reported to contain substantial enrichments of the rare earth elements (REEs). These mineral occurrences include mined deposits, exploration prospects, and other occurrences with notable concentrations of the REEs. The inclGIS and Data Tables for Focus Areas for Potential Domestic Nonfuel Sources of Rare Earth Elements
In response to Executive Order 13817 of December 20, 2017, the U.S. Geological Survey (USGS) coordinated with the Bureau of Land Management (BLM) to identify 35 nonfuel minerals or mineral materials considered critical to the economic and national security of the United States (U.S.). Acquiring information on possible domestic sources of these critical minerals is the basis of the USGS Earth MappiRhenium Occurrences in the United States
This data release provides descriptions of more than 100 mining districts, mines, and mineral occurrences (deposits and prospects) within the United States that are reported to contain enrichments of rhenium (Re). These mineral occurrences include mined deposits, exploration prospects, and other occurrences with notable concentrations of rhenium. The inclusion of a particular mineral occurrence inDatabase of significant deposits of gold, silver, copper, lead, and zinc in Alaska
This data release provides descriptions and locations of 134 significant deposits in Alaska. Approximately 99 percent of past production and remaining identified resources of gold, silver, copper, lead, and zinc in the United States are accounted for by deposits that originally contained at least 2 metric tons (t) of gold, 85 t silver, 50,000 t copper, 30,000 t lead, and 50,000 t zinc. Deposits ofElectron microprobe data for monazite and xenotime used in consideration of gold deposit formation models (ver. 2.0, May 2023)
The genetic origin of many gold deposits, including Pogo in Alaska, remains controversial with questions as to whether they formed due to magmatic-hydrothermal or metamorphic-hydrothermal fluids. Gaining a better understanding of the formation mechanisms for these deposits is critical for defining proper exploration criteria in gold-bearing regions and production within these deposits. Monazite arRare Earth Element Occurrence Database of the Tien Shan Region, Central Asia
Central Asia, site of the historic Silk Road trade network, has long been a conduit for the movement of people, energy, and mineral resources between Europe and Asia. Once part of the former Soviet Union, this region was and continues to be an important producer of base and precious metals, rare metals (RM), including niobium, tantalum, and beryllium, and a past producer of rare earth elements (RE - Publications
Below are publications associated with this project.
Filter Total Items: 36Assessment of undiscovered copper resources of the world, 2015
The U.S. Geological Survey completed the first-ever global assessment of undiscovered copper resources for the two most significant sources of global copper supply: porphyry copper deposits and sediment-hosted stratabound copper deposits. The geology-based study identified 236 areas for undiscovered copper in 11 regions of the world. Estimated amounts of undiscovered copper resources are reportedAuthorsJane M. Hammarstrom, Michael L. Zientek, Heather L. Parks, Connie L. DickenResource Assessment Economic Filter (RAEF)—A graphical user interface supporting implementation of simple engineering mine cost analyses of quantitative mineral resource assessment simulations
Economic evaluations of undiscovered mineral resources provide important context in which to consider the results of quantitative mineral resource assessments. The U.S. Geological Survey economic analysis method uses a simple engineering cost model approach developed by the U.S. Bureau of Mines that applies mine and mill engineering cost equations to simulated undiscovered deposits. The importantAuthorsJason L. Shapiro, Gilpin R. Robinson,Effect of size-biased sampling on resource predictions from the three-part method for quantitative mineral resource assessment—A case study of the gold mines in the Timmins-Kirkland Lake area of the Abitibi greenstone belt, Canada:
The three-part method for quantitative mineral resource assessment is used by the U.S. Geological Survey to predict, within a specified assessment area, the number of undiscovered mineral deposits and the quantity of mineral resources in those undiscovered deposits. The effects of size-biased sampling on such predictions are evaluated in a case study that involves gold mines from the Timmins-KirklAuthorsKarl J. EllefsenUser’s guide for Assessment Tract Aggregation GUI (ATA GUI)—A graphical user interface for the AggtEx.fn R script
The U.S. Geological Survey three-part method for mineral resource assessments estimates numbers of undiscovered mineral deposits as probability distributions in geologically defined regions termed “permissive tracts.” This report describes a graphical user interface (GUI) script developed in open-source statistical software (R) that aggregates estimated undiscovered deposits of a given type from tAuthorsJason L. Shapiro, Gilpin R. Robinson,World distribution of uranium deposits
Deposit data derived from IAEA UDEPO (http://infcis.iaea.org/UDEPO/About.cshtml) database with assistance from P. Bruneton (France) and M. Mihalasky (U.S.A.). The map is an updated companion to "World Distribution of Uranium Deposits (UDEPO) with Uranium Deposit Classification, IAEA Tech-Doc-1629". Geology was derived from L.B. Chorlton, Generalized Geology of the World, Geological Survey of CanaAuthorsM. C. Fairclough, J. A. Irvine, L. F. Katona, W. L. Simmon, P. Bruneton, Mark J. Mihalasky, M. Cuney, M. Aranha, O. Pylypenko, K. PoliakovskaUser’s guide for MapMark4GUI—A graphical user interface for the MapMark4 R package
MapMark4GUI is an R graphical user interface (GUI) developed by the U.S. Geological Survey to support user implementation of the MapMark4 R statistical software package. MapMark4 was developed by the U.S. Geological Survey to implement probability calculations for simulating undiscovered mineral resources in quantitative mineral resource assessments. The GUI provides an easy-to-use tool to input dAuthorsJason L. ShapiroQuartz-pebble-conglomerate gold deposits: Chapter P in Mineral deposit models for resource assessment
Quartz-pebble-conglomerate gold deposits represent the largest repository of gold on Earth, largely due to the deposits of the Witwatersrand Basin, which account for nearly 40 percent of the total gold produced throughout Earth’s history. This deposit type has had a controversial history in regards to genetic models. However, most researchers conclude that they are paleoplacer deposits that have bAuthorsRyan D. Taylor, Eric D. AndersonElement migration of pyrites during ductile deformation of the Yuleken porphyry Cu deposit (NW-China)
The strongly deformed Yuleken porphyry Cu deposit (YPCD) occurs in the Kalaxiangar porphyry Cu belt (KPCB), which occupies the central area of the Central Asian Orogenic Belt (CAOB) between the Sawu’er island arc and the Altay Terrane in northern Xinjiang. The YPCD is one of several typical subduction-related deposits in the KPCB, which has undergone syn-collisional and post-collisional metallogenAuthorsTao Hong, Xing-Wang Xu, Jungang Gao, Stephen Peters, Jilei Li, Mingjian Cao, Peng Xiang, Chu Wu, Jun YouRare earth element and rare metal inventory of central Asia
Rare earth elements (REE), with their unique physical and chemical properties, are an essential part of modern living. REE have enabled development and manufacture of high-performance materials, processes, and electronic technologies commonly used today in computing and communications, clean energy and transportation, medical treatment and health care, glass and ceramics, aerospace and defense, anAuthorsMark J. Mihalasky, Robert D. Tucker, Karine Renaud, Ingrid M. VerstraetenAssessment of undiscovered resources in calcrete uranium deposits, Southern High Plains region of Texas, New Mexico, and Oklahoma, 2017
The U.S. Geological Survey estimates a mean of 40 million pounds of in-place uranium oxide (U3O8) remaining as potential undiscovered resources in the Southern High Plains region of Texas, New Mexico, and Oklahoma. This estimate used a geology-based assessment method specific to calcrete uranium deposits.AuthorsSusan M. Hall, Mark J. Mihalasky, Bradley S. Van GosenNew method to integrate remotely sensed hydrothermal alteration mapping into quantitative mineral resource assessments
Hydrothermal alteration data mapped using the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) were compiled into hydrothermal alteration polygons for use in an assessment of porphyry copper mineral resource potential in the southwestern United States. Hydrothermal alteration polygons along with geochemistry, gravity and magnetic, lithologic, and deposit and prospects data weAuthorsJohn C. Mars, Jane M. Hammarstrom, Gilpin R. Robinson, Stephen Ludington, Lukas Zürcher, Helen W. Folger, Mark E. Gettings, Federico Solano, Thomas KressGeology and undiscovered resource assessment of the potash-bearing Pripyat and Dnieper-Donets Basins, Belarus and Ukraine
Undiscovered potash resources in the Pripyat Basin, Belarus, and Dnieper-Donets Basin, Ukraine, were assessed as part of a global mineral resource assessment led by the U.S. Geological Survey (USGS). The Pripyat Basin (in Belarus) and the Dnieper-Donets Basin (in Ukraine and southern Belarus) host stratabound and halokinetic Upper Devonian (Frasnian and Famennian) and Permian (Cisuralian) potash-bAuthorsMark D. Cocker, Greta J. Orris, Pamela Dunlap, Bruce R. Lipin, Steve Ludington, Robert J. Ryan, Mirosław Słowakiewicz, Gregory T. Spanski, Jeff Wynn, Chao Yang - Web Tools
Below are data releases associated with this project.