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CONSERVATION & NATURAL RESOURCES has floated a tender for Geologic Contractor Mrci Project. The project location is USA and the tender is closing on 22 Mar 2021. The tender notice number is 6100052658, while the TOT Ref Number is 51007459. Bidders can have further information about the Tender and can request the complete Tender document by Registering on the site.
Procurement Summary
Country : USA
Summary : Geologic Contractor Mrci Project
Deadline : 22 Mar 2021
Other Information
Notice Type : Tender
TOT Ref.No.: 51007459
Document Ref. No. : 6100052658
Financier : Self Financed
Purchaser Ownership : -
Tender Value : Refer Document
Purchaser's Detail
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Login to see detailsTender Details
Geologic Contractor Mrci Project
Purchaser : Conservation & Natural Resources
Tender Number : 6100052658
Type : IFB
County : Allegheny
Publication date : 3/8/2021
Deadline : 3/22/2021 10:00:00 AM
Description : The Pennsylvania Department of Conservation and Natural Resources (DCNR) Bureau of Geologic Survey (BGS) has been performing geologic carbon sequestration research in Pennsylvania and neighboring states since 2003. The Midwest Regional Carbon Initiative (MRCI) Project is an U.S. Department of Energy (DOE)-funded effort for which Battelle Memorial Institute (Battelle) has subcontracted with multiple states, including Pennsylvania, to provide ongoing carbon storage research support and to facilitate the deployment of carbon capture utilization and storage (CCUS) throughout the Appalachian Basin, as well as the larger Midwest to Northeastern regions of the U.S. This new effort serves as a follow-on project to the Midwest Regional Carbon Sequestration Partnership (MRCSP), for which BGS had served as a long-time research contributor (2003-2019).BGS is seeking a qualified contractor to perform data entry, data mining, digital mapping, and assessment work to support Task 3 of the MRCI Project, which involves aggregating existing data and assessing it for further analysis, determining gaps in data and analyses, facilitating data sharing with project collaborators, and supporting the Project team-s assessment of machine learning techniques for advan...
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