Leveraging the Power of Data to Develop a New Well Integrity Management System

Abstract

A novel and alternate field-wide well integrity management system is presented that uses historical wireline acquired well integrity data along with relevant static and dynamic data to generate visually interactive and customizable well integrity maps, reports, and plots that could facilitate field development planning and reduce surveillance and well intervention efforts and costs. The initial system has been designed using two commonly acquired types of well integrity data, namely corrosion and cement evaluation data. However, the proposed solution can be extended to incorporate any type of cased hole or open-hole data. The key components of this novel system are a centralized database for all related data, customizable corrosion and cement quality maps, field characterization maps, candidate ranking lists, and a centralized repository for all historical processed logs and reports. To ensure the accuracy of the data visualization and data analytics, all the acquired wireline logs are first quality-checked, processed, and interpreted on a processing and interpretation platform such as Techlog (SLB software). The results are then organized and stored on an Oil Field Manager (OFM, SENSIA Software) compatible database such as Microsoft (MS) Access. Finally, the results are pushed to a visualization platform, such as OFM for subsequent data visualization and analytics. This management system aims to address the challenges associated with well integrity data. This data comes from many sources, uses different technologies, is acquired by different vendors, and as a result is stored in different formats. This makes it cumbersome for operators to extract actionable information from this data efficiently and accurately. The deployment of the proposed management system provides operators with a high-level view of the present well integrity status of the field, contains information on the well integrity history of the field, as well as has the potential to predict future well integrity related issues. Integration of relevant static and dynamic data also facilitates a deeper understanding of the field-wide well integrity by facilitating correlations between different well-level parameters. Based on all the data inputs and subsequent outputs, a candidate ranking system is generated which ranks the wells based on the prevalence and seriousness of well integrity issues, thereby alerting operators to take appropriate action. A future use-case of these maps is linkage with dynamic databases, which will enable continuous data flow through surface sensors and gauges. This will provide operators with a live, integrated snapshot of the production and well integrity performance of their assets. This novel well integrity management system is conceptualized to shift operators' focus from data gathering to data analytics by leveraging and integrating multiple sources of massive data and providing operators with a high-level snapshot of the well integrity status of the entire field. This system is envisioned to improve efficiency, optimize workovers, and greatly reduce the carbon footprint associated with well intervention operations. Eventually, through enhanced data analytics, operators can exercise greater control over the well integrity of their fields.