Cloud-Based Slickline Reporting Software Improves Operational Efficiency

Abstract Slickline is the most frequent well intervention conveyance, with thousands of jobs worldwide every month. Slickline job reporting has traditionally employed tally books, spreadsheets, or text documents. This hinders the process of extracting learning and insights from operational data, and therefore limits efficiency and performance improvements. A new cloud-based slickline reporting software offers a fit-for-purpose application to record and archive all relevant data for slickline operations in a consistent and agile manner. Well and equipment information is captured through built-in modules and can be reused across jobs and shared with other users, reducing the amount of double input. Once the job starts, the operational steps are captured using a structured wellsite sequence that prepopulates the most common events, and a single click or tap can capture the completion time of a step. After the job is completed, the data is captured in a structured database that enables generation of standard reports and analytics. Since 2023, the cloud-enabled slickline reporting software has been used in more than 5,000 onshore and offshore jobs across multiple geographies, including the Middle East, South America, Africa, and Asia. The tool has simplified the reporting process and removed the need to update and share multiple documents. The entire crew works collaboratively on a single digital report in the cloud. The software supports computer, mobile, or tablet, providing flexibility depending on specific location requirements. If connectivity is lost, the software switches to offline mode, ensuring business continuity. Upon job completion, the final report is generated with a single click. The database in which the data is archived provides a simple way to access job and well history for analytics and planning of future operations, opening the door to improving slickline performance, utilization, and efficiency at scale. This reduces the time to gain insights into the operations and to perform investigations and optimization activities. In one example, it enabled a study that resulted in adjustments for operations with a unique cable setting, reducing operating time by at least 2 hours per descent and saving an estimated 7.5 rig days and the related carbon emissions annually for that location.