AccuStrike
Short-makeup drill bit
AccuStrike short-makeup drill bit
Rapid dull grading and drilling record system
The SnapScan rapid dull grading and drilling record system delivers high-quality IADC dull grading through an AI mobile application. It collects accurate cutter-by-cutter dull grade information and is connected to drilling metadata from a drilling records database, enabling drillers to make more accurate, efficient business decisions. The application enhances bit development when considering forensics data for objective cutter damage characterization while also driving technology development.
The SnapScan rapid dull grading and drilling record system can be used for both onshore and offshore drilling operations.
The system is trained on more than 20,000 images, which classify cutter primary characteristics. The photographic digital dull information is incorporated into workflows, enabling rapid improvement in cutting structure and cutter development life cycles with corresponding rapid improvements in drilling improvements.
The SnapScan system consists of five main platforms: digital acquisition system, empowered analysis of digital inputs, 360‑degree integrated view, big data analytics, and AI‑driven optimization and recommendation capabilities. All data captured is uploaded to the cloud, where the algorithm digests cutter information, records, and support analytics. The information is delivered through a mobile application, which can generate a bit report. A dedicated web-based tenant platform performs further data management.
The SnapScan application is trained on more than 20,000 images, which classify cutter primary characteristics into worn cutter, chipped cutter, broken cutter, spalled cutter, delaminated, bond failure, lost cutter, and others. The photographic digital dull information is incorporated into workflows, enabling rapid improvement in cutting structure and cutter development life cycles with corresponding rapid improvements in drilling performance.
The SnapScan system is faster, easier, and more accurate than manually dull grading bits postrun.
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