USE CASES PUBLICATIONS BLOG

Van Oort Real-time rig-activity detection helps identify and minimize invisible lost time

Real-time rig-activity detection helps identify and minimize invisible lost time In a recent Shell study, automatic rig-activity detection was shown to yield cost and time savings on both deepwater and land wells.

Automated Real Time Hookload and Torque Monitoring

This paper was prepared for presentation at the 2008 IADC/SPE Drilling Conference held in Orlando, Florida, U.S.A., 4–6 March 2008.

Mathis Mastering Real Time Data Quality Control.

This paper was prepared for presentation at the 11th International Conference on Petroleum Data Integration, Information and Data Management in Amsterdam, 19-20 April 2007

Hybrid Simulation using Neural Networks to Predict Drilling Hydraulics in Real Time

This paper was prepared for presentation at the 2006 SPE Annual Technical Conference and Exhibition held in San Antonio, Texas, U.S.A., 24–27 September 2006.

Automated Reporting Using Rig Sensor Data Enables Superior Drilling ProjectManagement

This paper was prepared for presentation at the 2006 SPE Annual Technical Conference and Exhibition held in San Antonio, Texas, U.S.A., 24–27 September 2006.

Use of Real-Time Rig Sensor Data to Improve Daily Drilling Reporting, Benchmarkingand Planning – A Case Study

This paper was prepared for presentation at the 2006 SPE Intelligent Energy Conference and Exhibition held in Amsterdam, The Netherlands, 11–13 April 2006.

Using Real-Time Data for Automated Drilling Performance Analysis

Abstract Drilling performance analysis from the operating company’s view is part of the workflow for E&P drilling activity and stim- ulates organizational learning.

Analysis of Hook Load Data to Optimize Ream and Wash Operations

This paper was selected for presentation by an SPE/IADC Program Committee following
review of information contained in an abstract submitted by the author(s).