Abstract The main objective of this paper is to present a robust and well-supported workflow to identify optimization opportunities in gas-lifted wells through real-time data analysis and surveillance-by-exception methodology. It also shares the initial results of applying this workflow and how the operator received technically supported recommendations on operational parameters, providing a complementary perspective for production optimization. The process begins by retrieving historical production and injection data to identify performance trends, particularly in variables such as gas lift rates and production system pressures. Based on this analysis, optimized operational envelopes are defined under a "traffic light" system, which categorizes operational conditions into green (optimal), yellow (suboptimal), and red (critical) zones. Simultaneously, real-time data is visualized using a web-client interface with tailored plots aligned with the operational envelope framework. This routine is designed as a technical solution that enables assets to monitor their wells more effectively, focusing human intervention on analysis rather than constant manual surveillance. The improved data analysis routine monitors the performance of wells, identifies potential problems, and generates alerts. This allows for rapid responses to issues before they escalate into more significant problems, reducing downtime and improving operational continuity. From the non-operator's perspective, the process optimizes production by continuously monitoring performance, identifying bottlenecks, and adjusting gas lift rates to maximize output. In broader terms, it contributes to increased oil recovery rates by optimizing production processes, resulting in more oil being extracted from each well. Sharing real-time data from a joint venture asset with a non-operator is not common practice. However, this initiative demonstrates its benefits, enabling better resource management and more agile responses to deviations from optimal production conditions. Moreover, it fosters a more collaborative technical environment between partners, aiming to enhance asset performance through shared insights and coordinated actions.
Tavara et al. (Tue,) studied this question.