10/03/18

Implementation of a Fully Automated Real-Time Torque and Drag Model for Improving Drilling Performance: Case Study

written by: M. Shahri, T. Wilson, Taylor Thetford, B. Nelson, M. Behounek, A. Ambrus, J. D’Angelo, P Ashok

Paper SPE-191426-MS, presented at the SPE Annual Technical Conference and Exhibition, 24-26 September, Dallas, Texas, 2018. The drilling industry has made significant progress on physics-based torque and drag (T&D) models that can run either offline (pre-job or post-job) or in real-time. Despite its numerous benefits, real-time T&D analysis is not prevalent since it requires merging…

10/03/18

Adopting Physical Models in Real-Time Drilling Application: Wellbore Hydraulics

written by: A. Ambrus, P. Ashok, D. Ramos, A. Chintapalli, A. Susich, T. Thetford, B. Nelson, M. Shahri, J. McNab, M. Behounek

Paper SPE-191797-MS, presented at the SPE Liquids-Rich Basins Conference – North America, 5-6 September, Midland, Texas, 2018. The first step towards drilling optimization and automation is a reliable data acquisition and handling system. This includes receiving and processing different frequency data across multiple platforms and ensuring proper data quality. Once we implement such a platform,…

08/18/18

Automatic Sensor Data Validation: Improving the Quality and Reliability of Rig Data

written by: Ashok P, van Oort E, and Ambrus A.

Paper SPE-163726, presented at the SPE Digital Energy Conference, The Woodlands, Texas, March 5–7. The hostile and uncertain environment in which sensors are used and the low priority typically given to regular calibration of these sensors are the primary reasons for poor quality drilling data. Today, online streaming of sensor data from primary sensors on…

03/27/18

Self-Learning Probabilistic Detection and Alerting of Drillstring Washout and Pump Failure Incidents During Drilling Operations

written by: Ambrus A, Ashok P, Ramos D, Chintapalli A, Susich A, Thetford T, Nelson B, Shahri M McNab J, and Behounek M.

Paper IADC/SPE 189700, presented at the IADC/SPE Drilling Conference and Exhibition, Fort Worth, Texas, March 6–8, 2018. Recently, Intellicess applied unique beliefs-based early detection and alerting system to drillstring washout and pump failure detection during drilling. The methodology was used to focus primarily on the time signatures of real-time and modeled pump pressure in relation…

09/08/17

A Novel Probabilistic Rig Based Drilling Optimization Index to Improve Drilling Performance

written by: Ambrus A, Ashok P, Chintapalli A, Ramos D, Behounek M, Thetford T, and Nelson B.

Paper SPE 186166, presented at the SPE Offshore Europe Conference and Exhibition, Aberdeen, Scotland, UK, 5-8 September 5-8, 2017. (DOI: 10.2118) Currently, because available drilling data is uncertain and humans cannot aggregate and act appropriately on multiple data streams in real time, adjustments to drilling parameters are based primarily on experience. This paper describes a…

08/19/17

Human Factors Engineering in the Design and Deployment of a Novel Data Aggregation and Distribution System for Drilling Operations

written by: Behounek M, Thetford T, Yang L, Hofer E, White M, Ashok P, Ambrus A, and Ramos D.

Paper SPE 184743, presented at the SPE/IADC Drilling Conference and Exhibition, The Hague, The Netherlands, March 14–16, 2017. Automated monitoring software only adds value when end users follow up with actions based on the information and knowledge derived from it. Within the drilling process, such follow through is dependent on a few key personnel on…

08/19/16

A Step by Step Approach to Improving Data Quality in Drilling Operations: Field Trials in North America

written by: Ashok P, Ambrus A, Ramos D, Lutteringer J, Behounek M, Yang YL, Thetford T, and Weaver T.

Paper SPE 181076, presented at the SPE Intelligent Energy International Conference and Exhibition, Aberdeen, Scotland, UK, September 6–8, 2016. Multiple literature studies have indicated that a significant amount of data collected during drilling operations is unreliable. To move towards better data quality, two critical hurdles need to be overcome. First, the case for the value…