论文信息 - Augmenting Operations Monitoring by Mining Unstructured Drilling Reports - 字舞流文

Augmenting Operations Monitoring by Mining Unstructured Drilling Reports

Mohamed Sidahmed | Christopher J. Coley | Shawn Shirzadi

[1] Hae-Sang Park,et al. A simple and fast algorithm for K-medoids clustering , 2009, Expert Syst. Appl..

[2] Eric Ziegel,et al. Enhancing Wellwork Efficiency With Data Mining and Predictive Analytics , 2014 .

[3] Colin James Mason,et al. New Real-Time Casing Running Advisory System Reduces NPT , 2013 .

[4] Fionn Iversen,et al. Drilling Automation: Potential for Human Error , 2013 .

[5] Eric Ziegel,et al. Using Data Mining to Build a Tool to Estimate the Extent of Pipeline Corrosion , 2011 .

[6] Ivan Rizzo Guilherme,et al. An Ontology Based for Drilling Report Classification , 2006, MICAI.

[7] Keat-Choon Goh,et al. Production Surveillance And Optimization With Data Driven Models , 2007 .

[8] Ronen Feldman,et al. Book Reviews: The Text Mining Handbook: Advanced Approaches to Analyzing Unstructured Data by Ronen Feldman and James Sanger , 2008, CL.