Baker Hughes Oilfield Operations LLC

Muhammad Faisal Iqbal

Mikhail Gladkikh

Juan Carlos Flores Perez

Jayesh Jain

Mackenzie Dreese

Murali Kalyan Chamarthy

Examples described herein provide a computer-implemented method that includes aggregating data. The method further includes filtering the data to eliminate objects known not to be suitable for additive manufacturing. The method further includes performing machine learning on the data to identify objects suitable for additive manufacturing. The method further includes generating, using additive manufacturing, at least one of the objects identified as being suitable for additive manufacturing.

Identifying candidate objects for additive manufacturing

Methods may involve accepting pre-manufacture verification of manufacturer capabilities and product precursors for a product. Discrete packets of operational parameters to enable an additive manufacturing device to manufacture the product may be generated, each packet enabling manufacture of a respective portion of the product. The respective packets may be sent for only after receipt of confirmation that a previous packet is complete and associated operational parameters for the previous packet have been deleted. A time from completion of the previous packet may be sufficient to ensure that manufacture of another respective portion of the product may begin without interruption in an additive manufacturing process. In-manufacture verification of operational parameters utilized by the additive manufacturing device may be accepted. During at least some stages, a blockchain may be updated to associate data representative of workflows for the product with an encrypted, secure identifier utilizing a secure, distributed transaction ledger.

Systems and methods for verifying additive manufacturing workflows

Methods may involve sending identification of a product to an additive manufacturer. Confirmation from the additive manufacturer of availability may be received. Approval of a respective additive manufacturer may be confirmed. Discrete packets of operational parameters to enable an additive manufacturing device to manufacture respective portions of the product may be generated. Respective packets of operational parameters may be encrypted and sent to a network-connected additive manufacturing device. The respective packets may be sent only after confirmation that a previous packet is complete and has been deleted. A time from completion of the previous packet may be sufficient to ensure that manufacturing of another portion of the product may begin without interruption in an additive manufacturing process. During at least some stages, a blockchain may be updated to associate data representative of workflows for the product with an encrypted, secure identifier utilizing a secure, distributed transaction ledger.

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Richmond, TX, United States of America

Muhammad Faisal Iqbal