Provision of Artificial Intelligence/ Machine Learning Tender
Notice for Provision of Artificial Intelligence/ Machine Learning Solution for Reconstructing and Predicting Missing Well Log Data in the Tldd Field, Blocks 01/97&02/97, Offshore Vietnam in Vietnam. The reference ID of the tender is 148505001 and it is closing on 17 Aug 2026.
Tender Details
- Country: Viet Nam
- Summary: Provision of Artificial Intelligence/ Machine Learning Solution for Reconstructing and Predicting Missing Well Log Data in the Tldd Field, Blocks 01/97&02/97, Offshore Vietnam
- VNT Ref No: 148505001
- Deadline: 17 Aug 2026
- Financier: Self Financed
- Purchaser Ownership: Government
- Tender Value: Refer Document
- Notice Type: Tender
- Document Ref. No.: IB2600408109-00
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- Description:
- Provision of Artificial Intelligence/ Machine Learning solution for reconstructing and predicting missing well log data in the TLDD field, Blocks 01/97&02/97, Offshore Vietnam
- Documents:
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CLICK HERE TO LOGINProvision of Artificial Intelligence/ Machine Learning Solution for Reconstructing and Predicting Missing Well Log Data in the Tldd Field, Blocks 01/97&02/97, Offshore Vietnam - Vietnam Tender
The BRANCH IN HO CHI MINH CITY - LIMITED LIABILITY COMPANY - PETROLEUM EXPLORATION AND EXPLOITATION CORPORATION, a Government sector organization in Viet Nam, has announced a new tender for Provision of Artificial Intelligence/ Machine Learning Solution for Reconstructing and Predicting Missing Well Log Data in the Tldd Field, Blocks 01/97&02/97, Offshore Vietnam. This tender is published on VietnamTenders under VNT Ref No: 148505001 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2026-08-17.
The estimated tender value is Refer Document, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.
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