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…

Read more
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…

Read more
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…

Read more