Bringing Excellence in Asset Management through Streamlined Automated Reporting & KPI Tracking System

Abstract

During the asset management life cycle, one needs to deal with a range of operational problems on a day-to-day basis that are associated with various domains. This consists of handling of massive increment in data streaming per millisecond, real-time data processing, quality control and model feed for proactive problem identification and finally accurate allocation and prediction. The success is still measured by how the investment in real-time systems is leveraged effectively for real-time optimization while minimizing operating expense (OPEX) and improving the profitability of the project. This paper explains with a case study that this cannot be possible just by implementation of integrated data management system, but understanding the business process and streamlining the decisions in fully automated way is the key to success. The case study talks about a mature offshore oilfield, where a lean team was handling around 26 ad-hoc reports manually spending 3-4 hours daily, combining many different data sources, spreadsheets and still prone to human error, inconsistencies and reactive decisions. After thorough business process mapping and key performance indicator (KPI) mapping study, a new streamlined "To-Be" process was designed to deliver analytical production and operational reporting system. Based on full workflow automation, the system is deployed for data acquisition, allocation, reporting and analysis. This has increased accuracy, accountability, and timely availability of quality data, which has helped end users to improve productivity. The comprehensive reporting tool provides access to operational and production reports online, secured approvals and automatic notifications via e-mail for managers. Output reports are available in various formats for nontechnical users without direct access to the core application. The framework allows a streamlined data flow for dynamic updates of well and simulation models, improving process integration and reducing the run-time cycle. A successful deployment of an integrated analytical management system based on application assimilation and workflow automation is helping to improve overall productivity on various levels – Improved data management: Consolidated central database enabling easy data integration and sharing with various processes and applications and reducing the downtime & heightened securityPowerful surveillance: Provides effective KPI tracking, detecting and flagging any data issues and abnormal well behaviour aids entire performance management and decision-making processProactive management: alarms and notifications on operation issues, helping engineers to make proactive operational decisions.Faster cycle times: Business decision cycle times have been reduced from few hours to minutes resulting over 62% efficiency improvementExcellence: Trustworthy and accessible data, streamlined workflows, and application integration have thus provided engineers with faster, better, and confident proactive decision making. Leveraging investment in digital oilfield for quick value delivery by streamlined corporate business process geared towards achieving operational excellence.