U.S. Gold explores for gold and silver in the Americas and is advancing its El Gallo Project in Mexico and their Gold Bar Project in Nevada towards production. U.S. Gold has a strong treasury with approximately $100 million in cash and gold and silver bullion.
Geologic Information in ArcGIS
In late 1989, U.S. Gold completed construction of a milling facility at their Tonkin Springs mine site near Elko, Nevada. However, the mill facility did not reach its commercial operation deadline of June, 1990. Due to a series of complications, the operation was put on a "stand-by" status. When a feasibility study of the area was generated in early 2001 showing positive potential, U.S. Gold determined to invest in reopening the mine site. Digital Data Services, Inc. (DDS) was tasked to visit the Tonkin Springs, Nevada mine site and inventory historic paper maps and digital data. This project also included consultation on merging this information within a current Geographic Information Systems (GIS) application.
Tonkin Springs Map Catalog in an Access Database
DDS performed an onsite assessment of the hard-copy documents, which included the discovery of an outdated cataloging system of the archived paper maps. These maps were cataloged on paper index cards. DDS obtained and converted these paper indexes into a user-friendly database. The database contained fields of which the archive manager (or librarian) could log-in any future documents for easy retrieval. DDS also brought back several hundred maps to be scanned, georeferenced, and digitized into a GIS system. A metadata template was created for U.S. Gold for any future GIS work, which would provide a link to the archived paper maps. The end results of this project enabled U.S. Gold to compare their historic data and bring that information into more advanced GIS and CAD software applications.
Management of Large Volumes of Information
Custom Database Creation
Inventory & Analysis of Historic Information
Case Studies: Oil & Gas
Bass-Trigon- Pipeline Solutions in GIS
Bass-Trigon Software LLC, now part of American Innovations, designs and develops software for integrity management, risk assessment, pipeline compliance, and corrosion data management.
Pipeline Sheet in AutoCAD
The company obtained large quantities of pipeline information from their customers to facilitate analyses of pipeline systems. Because the data was in various formats, including paper and AutoCAD, the company contracted Digital Data Services, Inc. (DDS) to provide solutions that would deliver uniform and accurate pipeline information.
Pipelines in ESRI ArcMap
DDS converted these different datasets into one uniform pipeline coverage, allowing linear referencing (stationing) within the Esri Geographic Information Systems (GIS) environment. The solution also allowed the company to collect and store ongoing information regarding pipeline facilities; both inline and physical inspection histories; regulatory compliance information; risk assessment studies; work history events; and geographic information, such as environmentally sensitive areas, political boundaries (e.g., state and county), right-of-way boundaries, and various types of crossings.
Ability to Analyze Critical Information within a GIS Environment
Assists in Regulatory Compliance
Aids in Risk Assessment Studies
Case Studies: Oil & Gas
IHS- Well Data Analysis
Information Handling Services (IHS) offers products and solutions for all aspects of oil and gas asset management workflow from strategic planning through exploration, production and delivery.
The IHS Well Database
The IHS Well Database it is the largest, most comprehensive U.S. well database, accounting for virtually every well drilled and produced back to 1859. IHS approached Digital Data Services, Inc. (DDS) with a need to populate over 3.5 million petroleum well locations with their appropriate surface elevation values. Surface elevation values in well databases are important information to aid in the analysis of well depths against approximate surface heights.
Well Data in ArcGIS
Through the utilization of DDS' internal high resolution elevation datatsets, a spatial join was created linking the client supplied well data to the elevation dataset. By doing this, DDS was able to automatically assign the wells an elevation attribute based on their spatial location. The delivered database now contained a field titled "elevation" with the appropriate surface elevation shown in feet. This well information is used by Geologists, Engineers, and GeoTechnicians in the comprehensive understanding of a well's history, along with complete details on surrounding wells.
Comparing and Analyzing Multiple Spatial Datasets
File to File Translation and Conversion
Utilization of "In-House" Datasets to Perform GIS Analysis