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This Government Contract opportunity from Department Of The Interior was posted on May 28, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Multi-Layer and Multi-Rate Pressure Test Modeling Support

Closed
Federal

Contract Overview

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This contract involves providing specialized advanced modeling services focused on multi-layer and multi-rate pressure tests. The scope includes the development and support of tools that allow for detailed post-model adjustments and tuning of parameters to enhance the accuracy of pressure test analyses. It is structured as a subcontract under the Department of the Interior’s Acquisition Management Division. The opportunity was posted on May 28, 2026, with a response deadline set for June 15, 2026. It falls under the NAICS code 541690, which pertains to specialized scientific and technical consulting services. While details about the place of performance, organization type, and points of contact are not specified, the contract is aimed at improving pressure testing methodologies through advanced computational modeling to assist the agency’s operational and analytical needs.

General Info

Subcontract for advanced multi-layer pressure test modeling and tool development under Department of the Interior.

Agency

Department Of The Interior → Acquisition Management Division

NAICS

541690 - Other Scientific and Technical Consulting ServicesView NAICS

Place of Performance

VA

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of The Interior → Acquisition Management Division
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of The Interior → Acquisition Management Division
Office AddressN/A
ContactsNo contact information available

Full Description

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Provide advanced modeling capabilities for multi-layer and multi-rate pressure tests, including post-model parameter adjustments and tuning functionality to improve accuracy.