Uncover 2% Advanced Production Optimization across Complex Operational Plants through Industry 4.0, AI and Digital Twin

D. Piotrowski; J. Kalagnnanam

doi:10.3997/2214-4609.202032027

Uncover 2% Advanced Production Optimization across Complex Operational Plants through Industry 4.0, AI and Digital Twin
Authors D. Piotrowski¹, J. Kalagnnanam¹
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Affiliations: ¹ IBM
Publisher: European Association of Geoscientists & Engineers
Source: Conference Proceedings, First EAGE Digitalization Conference and Exhibition, Nov 2020, Volume 2020, p.1 - 5
DOI: https://doi.org/10.3997/2214-4609.202032027

Abstract

Summary

This is a client case study illustrating an advanced implementation of Industry 4.0, AI, and digital twin to achieve material gain in production optimization across complex, interdependent plant processes. From working with leadership and selecting a the right impactful business case to implementation and garnering support from operational stakeholders, we demonstrate how end-to-end value chain optimization is possible.

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2020-11-30

2024-04-29

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References

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Uncover 2% Advanced Production Optimization across Complex Operational Plants through Industry 4.0, AI and Digital Twin

Conference Proceedings 2020, 1 (2020); https://doi.org/10.3997/2214-4609.202032027

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Uncover 2% Advanced Production Optimization across Complex Operational Plants through Industry 4.0, AI and Digital Twin

Abstract

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Most Cited This Month Most Cited RSS feed

The natural combination of full and image‐based waveform inversion

Poststack diffraction imaging using reverse‐time migration

Characterizing the effect of elastic interactions on the effective elastic properties of porous, cracked rocks

Fracture detection by Gaussian beam imaging of seismic data and image spectrum analysis

Laboratory measurements of guided‐wave propagation within a fluid‐saturated fracture