Inorganic IRMS
Past New Requirement Updated
- Agency
-
Department of the Interior
- Solicitation expected
- Estimated value
- $500,000 to $999,000
- Set-aside
- No set-aside
Forecast facts
- Anticipated award
- NAICS code
- 334516 Analytical Laboratory Instrument Manufacturing
- Place of performance
- Denver, CO
- Forecast number
- 52572
- Points of contact
-
- Sean Jones smjones@ios.doi.gov
Forecast details come from the GSA Acquisition Gateway. Agencies' dates and values are estimates.
About this forecast
The Department of the Interior is procuring a Gas Bench Isotope Ratio Mass Spectrometer (IRMS) system to generate stable isotope data for characterizing carbonate components in geologic samples, with solicitation release estimated for August 1, 2026 and award targeted for September 30, 2026. The U.S. Geological Survey Energy Resources Program currently lacks this analytical capability and relies on external laboratories with inconsistent quality and methodology; acquiring this system will enable the program to produce reliable "goldstandard" science for petroleum systems interpretation and related USGS deliverables.
The estimated award value ranges from $500,000 to $999,000 for this definitive contract, which carries a current fiscal-year projected obligation of $550,000. Place of performance is Denver, Colorado. Sean Jones (smjones@ios.doi.gov) is the federal point of contact; the procuring office is the Rocky Mountain Mission Area of the U.S. Geological Survey, managed under the Energy Resources Team cost center.
Forecast text
Stable isotope data generated by a Gas Bench Isotope Ratio Mass Spectrometer (IRMS) are essential for accurately characterizing carbonate components in geologic samples. These measurements underpin interpretations of petroleum systems and directly support key priorities within the Energy Resources Program (ERP). Because ERP currently lacks this capability, staff must rely on external laboratories, where analytical quality and methodological consistency vary widely. These limitations hinder ERP’s ability to produce the reliable “gold‑standard” science expected for USGS deliverables.
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