Abstract

Multiwell drilling performance benchmarking delivers an accurate understanding of well construction performance across multiple wells by computing and comparing drilling-specific key performance indicators (KPIs). It also provides systematic enforcement of technical limits in various operations. The benchmarking workflow involves intelligent measuring techniques with an embedded automated rig operations detection algorithm. The analysis of data from rig sensor and operation reports from multiple teams enables the evaluation of every drilling activity with high degree of granularity. Effective KPIs are created to pinpoint the best way to optimize procedures and reduce invisible lost time and nonproductive time. The performance benchmarking from this unbiased system generates detailed metrics for consistent comparison of well construction processes, including flat-time operations, with pre-agreed targets calibrated from historical performance involving multiple rigs, wells, and crews. This approach continuously drives the team to work towards the technical limit of their operations by identifying lost time and adopting innovative drilling practices. For an operator in a brownfield, offshore Malaysia, there was previously no daily tracking of operational performance that could be shared immediately with the crew. This new approach stimulates awareness among the crews to perform consistently. Furthermore, the best practices are discussed regularly before a crew change or a job to ensure the same or improved level of performance. Wells drilled during the recent seven-well drilling campaign have adopted this workflow as part of new operator excellence and "drilling the limit" initiatives, which has translated to a more than 20% reduction in invisible lost time. Overall, the total well construction days has been reduced compared to the plan, and the 10% cost saving of the authorization for expenditure (AFE) provided clear reveal of this new drilling optimization method with the support of dedicated performance engineers. The database of improved drilling parameters will promote better planning for the next stage of enhanced oil recovery (EOR) and the future development campaign. This method also empowers an in-depth probabilistic approach for planning new wells and provides a more accurate prediction of well time for AFEs planning. This system serves as a platform for measuring the performance of ongoing operations and provides consistent, fact-based decisions for selecting the ideal operating approach for each well.

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