Bharat in Betastartup field guide
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No. 1349Problem statementManufacturing and materials

Digital Twin for Well-to-Surface Optimization of Cyclic Steam Stimulation (CSS) and Sucker Rod Pump (SRP) Operations for Heavy Oil Wells of Baghewala Field.

Source

Source summary

The Baghewala heavy-oil proposal combines reservoir, wellbore and surface operations in an AI-enabled digital twin. It should jointly assess cyclic steam stimulation and sucker-rod pumping, using production, injection, equipment and failure histories to forecast thermal behaviour and guide operation. Monitoring should address rod floating, impact loads, pump performance and steam/energy use. Increased recovery and fewer failures are intended outcomes requiring validation, not achieved results.

No. 026Existing businessManufacturing and materials

Specialty-chemical development platforms

Digitizing chemical R&D and compliance; Scimplify is the cited example.

No. 747Problem statementManufacturing and materials

Development of indigenous ship design Software

Develop secure, modular indigenous ship-design software covering concept through production for Indian defence shipbuilding. The source identifies dependence on imported proprietary tools for hulls, stability, structures and performance, along with licensing cost, export-control and support concerns. The platform should accommodate Indian design/classification rules and lifecycle support. These are proposed capabilities, not proof of an existing domestic replacement.

No. 748Problem statementManufacturing and materials

AI powered Hull-form optimization

Develop AI-assisted hull-form design using knowledge from existing hulls and their design relationships. The source contrasts this with manually modifying reference lines or using standard series, and asks for candidates meeting technical and operational requirements, including hull forms beyond those already built. A suggested form still requires naval-architect assessment; novelty is not proof of performance.