Real-Time Analytics Improves Process Safety in a Drilling-Contractor Operations Center

Abstract

This article, written by JPT Technology Editor Judy Feder, contains highlights of paper OTC 28824, “Operational and Safety Improvements of Applying Real-Time Analytics in a Drilling-Contractor RTOC,” by A.L.F. Madaleno, S.L.S. Neto, L.A. dos Santos, and C.A.L. de Oliveira, QGOG Constellation, prepared for the 2018 Offshore Technology Conference, Houston, 30 April–3 May. The paper has not been peer reviewed. Copyright 2018 Offshore Technology Conference. Reproduced by permission. Digitally enabled collaboration between operators and service companies is driving significant improvements in process safety in the upstream oil and gas industry. However, drilling contractors generally have been considered only the owners of the systems that generate part of the surface drilling data and, as such, have not been engaged in the development of real-time analytics tools. The role of a real-time operations center (RTOC) with a drilling contractor is itself a new factor. This paper explains how an ultradeepwater drilling contractor is applying real-time analytics and machine learning to leverage its RTOC to improve process safety and performance. Introduction The increasing availability of digital drilling data and the emergence of reliable communication between offshore rigs and well operators’ offices enabled a proliferation of RTOCs in the 2000s, spawning a collaborative environment between well operators and service companies that enabled enhanced support and optimized use of expert resources to improve process safety and operational efficiency. Drilling contractors generally were not engaged in developing the real-time analytics tools for the RTOCs. One consequence is that the majority of RTOC software solutions are only appropriate for wellsite information transfer standard markup language (WITSML) data visualization, or they feature embedded tools for well operators and service companies focused on drilling efficiencies but the data and models they use are not accessible to the rig operators. Essential aspects of process safety and operational performance, such as procedural discipline and critical equipment health, can be addressed by drilling contractors in real time if appropriate resources are in place. The contractor’s RTOC has enhanced process safety and surveillance after moving to an approach in which drilling engineers, assisted by software developers with robust experience in real-time data analytics, began writing automated operation-identification and problem-detection algorithms. The cooperative work allowed the creation of tools adapted to the company’s needs and provided a streamlined process to implement, customize, and repair these tools over time. During the planning phase, it was agreed that initial developments should be grouped into six important dimensions that strongly influence the overall process safety and operational performance of the rig. The contractor applied real-time analytics and machine learning to identify and alert RTOC engineers of abnormal situations automatically. The detection of the abnormal situations by RTOC engineers and the comparison of the standard by which various drilling crews react to them feeds a lessons-learned data base, which, in turn, sustains the procedural advancement initiatives, ensuring continuous improvement.