Artificial intelligence, Machine Learning, and Deep Learning as a Service - Development; Hiring of services for well planning process through automation of Drilling and Workover rig scheduling process and implementation of AI/ML-driven drilling solutions
Oil India Limited · Port Blair, Andaman and Nicobar Islands · IT & Software Services · open
Key facts
- EMD: ₹2.1Cr
- Published: 13 Aug 2026
- Closing date: 26 Nov 2026
- Status: open
- Status as of: 14 Nov 2026 23:36 UTC
- Ministry: Ministry of Petroleum and Natural Gas
- Department: Oil India Limited
- Office: Oil India Limited
Description
Oil India Limited seeks services for two schedules: automation of well planning and drilling/workover rig scheduling through a collaborative platform, and implementation of a solution combining historical drilling, petrophysical, surface and downhole data with AI/ML predictive analytics. Contract period is 5 years 8 months. Evaluation and award are schedule-wise.
Eligibility & requirements
- Startup relaxation: No
- MSE relaxation: No
- Documents required: Additional Doc 1 (Requested in ATC), Additional Doc 2 (Requested in ATC), Additional Doc 3 (Requested in ATC), Additional Doc 4 (Requested in ATC), Supporting documents to prove eligibility for exemption from Experience / Turnover Criteria, if exemption is sought
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Commercial terms
- Bid type: Two Packet Bid
- Evaluation: Item wise evaluation
- Make in India (MII): Yes
- MSE preference: Yes
Line items (2)
- Artificial Intelligence, Machine Learning, And Deep Learning As A Service - Development; Hiring Of Services For Well Planning Process Through Automation Of Drilling And Workover Rig Scheduling Process, Enablement Of A Collaborative Platform For Well Planning Activities — Qty: 1 Lumpsum Based
- Artificial Intelligence, Machine Learning, And Deep Learning As A Service - Development; Hiring Of Services For Implementation Of Solution Which Combines Historical Drilling Data, Petrophysical Models, Historical Surface Data, Downhole Data, And AI/ML-Driven Predictive Analytics — Qty: 1 Lumpsum Based
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