Achieving Savings Through Reliability Using Real Time Data
| Autor: | Jesse Roye, David M. Pritchard, Patrick L. York |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer science
business.industry 02 engineering and technology 010502 geochemistry & geophysics 01 natural sciences Reliability engineering 020401 chemical engineering Process safety Embedded system Real-time data 0204 chemical engineering business Reliability (statistics) 0105 earth and related environmental sciences |
| Zdroj: | Day 3 Wed, May 04, 2016. |
| DOI: | 10.4043/26935-ms |
| Popis: | Historically, the drilling industry has utilized real time data (RTD) for improving drilling efficiencies, documenting occurred events, and reactive decision-making. RTD should promote situational awareness with respect to wellbore instability and hazards. Drilling trends identifiable in RTD change over time as abnormal trends leading to hazards and rarely occur instantaneously. These destabilizing events such as cuttings loading, barrier compromise, kicks, pack-offs, wellbore collapse, or other mechanical and pressure-related causes, whether in rotating or flat-time operations, can be avoided or mitigated. Accepting these hazards as a necessary outcome of drilling operations can be a dangerous proposition and denies risk accountability. Enhancing the systemic approach to process safety represents a paradigm shift in the industry and requires changing behaviors through proactively managing and controlling the pace of the drilling process. A new paradigm suggests the use of a deterministic, physics-based model of real time force-balance in the wellbore during the construction process. Identifying the trends of these forces become predictors of hazards. Mitigating and correcting the trends, in real time avoids process safety failures and consistently results in improvements in non-productive time (NPT) and removable lost time (RLT), notwithstanding the large associated costs. The drilling trend behaviors that predict hazards can facilitate leading as opposed to lagging Key Performance Indicators (KPIs). The new paradigm suggested enables hazards avoidance and thus significantly reduces the costs of drilling. This paper describes and explains these predictive techniques as well as offers suggestions for industry training with respect to surveillance and hazards avoidance using RTD simulators, much as airline pilots would use for continual training. |
| Databáze: | OpenAIRE |
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