Bit Design Optimization with AI-Enhanced Photometric Dull Grading
Abstract The continuous advancement of drilling technology has brought about the need for more sophisticated tools and methodologies to enhance the performance and efficiency of drilling operations. One such innovation is Cutter Analytics (CA) technology, which leverages a multi-platform approach to provide comprehensive insights into bit performance and wear. This article explores the five main platforms of CA technology: the digital acquisition system, AI-empowered analysis of digital inputs, 360-degree integrated view, big data analytics, and AI-driven optimization and recommendation capabilities.
Authors
- Galymzhan Konysbekuly
- Rui Santana (ORCID: https://orcid.org/0000-0003-1370-3242)
- Juan MacFarlane
- V. Radhakrishnan
- Ole Gjertsen
Publication Details
- Published
- 2025-09-16
- DOI
- https://doi.org/10.2118/227238-ms
- Citations
- 1
- Primary Topic
- Advanced machining processes and optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.71