Teasing Insight Out of Reams of Data using Advanced Data Visualization and Analytics Software for Improved Reservoir Management, Rokan Light Oil, Indonesia

摘要

Production and well intervention history for the Rokan Light Oil, Sumatra, Indonesia operations region spans 90 years across 115 fields and more than 5000 wells. This vast production history results in large and diverse datasets that are difficult to manage. A simple and cost-effective data analytics solution, the "Well History Browser", was developed using the Data Analytic Application platform to address issues of big data management and analysis. Prior to development of the Well History Browser, Petroleum Engineer and Earth Scientist workflows relied on the need to work through multiple software platforms, such as web access portals, well log applications, homeless local drive files, and purpose-built Excel spreadsheets. Complicating matters was the fact that most legacy tools were developed for specific field assets and were not transferable to other assets within the organization. Furthermore, many of the tools were dependent on specific developers for maintenance and modification, which made it difficult to keep the tools working after staffing and organizational changes. The Well History Browser was developed to address these issues by providing a compact and efficient access point to all information within a single platform analysis. Data streams available within the analysis include a complete history of well metadata and status, allocated production and injection, well tests, well interventions, well opportunities, swab tests, spinner surveys, pressure surveys, perforations, and wellbore equipment. Example workflows that use the Well History Browser include offset / analog well production analysis for infill drilling, workover opportunity assessment and planning, daily field and well performance monitoring, subsurface integrity monitoring, decline type curve analysis, and production forecasting. Key enablers for development of the tool include construction of custom database tables and views, the use of data-on-demand database connections, IronPython scripts (streamlines the analysis by enabling development of shortcuts and automation), and TERR scripts (extends the computational power to allow for development of custom analyses). Shortly following release two years ago, the user-friendly tool was rapidly adopted by petrotech staff across the organization. The current daily user base is greater than 70 staff. Since initial release, tool developers have responded to user feedback by implementing visualization changes, adding analytic functions and creating automated workflows, all of which have been facilitated by the richly featured, low-code development platform. The Well History Browser has had a profound impact on staff efficiency in reducing cycle time spent in accessing well data and in increasing effectiveness in production data analysis. The result has been an increase in the quantity and the quality of well intervention and infill well opportunity identification.