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This paper is focus on the performance benefits when drilling data is streamed from rig sensors (high-frequency) and is integrated with daily drilling reports and well plans (low-frequency). The purpose is to systematically monitor and evaluate the performance of the entire rig fleet across the well construction process in the 20 land rigs drilling and completing oil and gas wells. The first step is to segregate each activity in the well construction process in main categories to allow the system to recognize the operational sequence from all the historical wells. A set of KPIs are defined for each one of the activities and the benchmark is set. Both high-frequency and low-frequency data are quality checked and computed into the pre-defined KPIs. Through the systematic analysis approach, the indicators are reviewed and in-deep understanding of rig capabilities, crew performance, operational constrains and drilling tools efficiency is made available to the team members, accessed via web-based application or automated daily report. With the help of the data coming from the rig sensors and the data collected from the daily drilling reports a perfect match result in a reliable source for the KPI generation is done. The procession of all the historical data provides a good insight to support the benchmark and proceed with the next step, which is the computation of the Invisible Lost Time, measuring the inefficiency of each one of the well construction activities. The drilling team takes appropriate actions using continuous improvement principles to identify waste and performance improvement opportunities. This also involves implementing all the best practices and introduce changes on the way we perform operations. Improvement plans can be prepared for achieving greater operational efficiency by evaluating everyday performance against agreed benchmarks and extend technical limits of established well plans, generating automated best composite times for future wells. Additionally, cost saving initiatives are identified in underperforming areas, non-productive time, and invisible lost time operations. This performance-based approach along with the multi-rig analysis platform has been a tremendous improving tool in the project and greatly enhanced rig performance, and some of the cases and insights to be shared might mutually benefit other operators and service companies in the region. |
