Achieving Operational Excellence Using an Interactive Drilling Time Analysis and Benchmarking Methods

OBJECTIVE / SCOPE Performance improvement to reduce the cost is a common goal for the industry, there are many initiatives and processes now in place, applying different techniques. Most of these techniques are dependent on operational time-distribution analysis, to benchmark current performance and predict future performance, while identifying improvement opportunities. An objective, standard, yet flexible tool is required to support these different approaches. Authors will share their experience of developing a method and tool that serves this purpose. METHODS, PROCEDURES, PROCESS The tool provides an environment that enables users perform different types of analytics: descriptive, predictive and prescriptive on the operational time-distribution data. The data sources in this environment are integrated seamlessly to facilitate comparative analyses on many aspects of drilling performance providing the following: Compare actual performance with the planAllow pre-, post-, and active-execution performance analysisIdentify current performance limitations and potential improvementBenchmark performance for different teams, contractors and service providersInvestigate lost time incidents; evaluate their impact; and discover root causes behind itProduce an automated Ultimate Drilling Curve and build realistic time estimates for future wells RESULTS, OBSERVATIONS, CONCLUSIONS The proposed system architecture contains four main modules, which provide the aforementioned functionalities, through comprehensive interactive tools to facilitate analysis of drilling time at different levels of granularity. These modules are: Wells Similarity Identification, filtration, and Selection moduleGeneral Time Distribution Comparison moduleProgress Charts (time versus depth) Analysis moduleLearning Curve Evaluation module The proposed system functionality will be introduced through this paper in addition to a methodology to utilize these tools to perform variety of comprehensive performance analysis studies. NOVEL/ADDITIVE INFORMATION The proposed system is an integrated interactive platform for different user groups to run sophisticated performance analytics and studies efficiently and effectively without being limited to specific scenarios or data types.