Achieving Savings Through Reliability Using Real Time Data

摘要

Historically, the drilling industry has utilized real time data (RTD) for improving drilling efficiencies,rndocumenting occurred events, and reactive decision-making. RTD should promote situational awarenessrnwith respect to wellbore instability and hazards. Drilling trends identifiable in RTD change over time asrnabnormal trends leading to hazards and rarely occur instantaneously. These destabilizing events such asrncuttings loading, barrier compromise, kicks, pack-offs, wellbore collapse, or other mechanical andrnpressure-related causes, whether in rotating or flat-time operations, can be avoided or mitigated. Acceptingrnthese hazards as a necessary outcome of drilling operations can be a dangerous proposition and deniesrnrisk accountability.rnEnhancing the systemic approach to process safety represents a paradigm shift in the industry andrnrequires changing behaviors through proactively managing and controlling the pace of the drilling process.rnA new paradigm suggests the use of a deterministic, physics-based model of real time force-balance in thernwellbore during the construction process. Identifying the trends of these forces become predictors ofrnhazards. Mitigating and correcting the trends, in real time avoids process safety failures and consistentlyrnresults in improvements in non-productive time (NPT) and removable lost time (RLT), notwithstandingrnthe large associated costs. The drilling trend behaviors that predict hazards can facilitate leading asrnopposed to lagging Key Performance Indicators (KPIs). The new paradigm suggested enables hazardsrnavoidance and thus significantly reduces the costs of drilling. This paper describes and explains thesernpredictive techniques as well as offers suggestions for industry training with respect to surveillance andrnhazards avoidance using RTD simulators, much as airline pilots would use for continual training.