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On December 2, Liang Huiyan, a third-level engineer at the Digital Operation and Maintenance Center of the Second Oil Production Plant in Daqing Oilfield of China National Petroleum Corporation, and Liu Dongxue, a data management technician, were working on computer to study low-pressure testing algorithms. Since the beginning of this year, the Digital Operation and Maintenance Center of Daqing Oilfield’s Second Oil Production Plant has focused on leveraging digital technologies to enhance production efficiency. With improving the effectiveness of low-pressure testing as its main goal, it has made targeted efforts in the areas of data, algorithms, and software, enabling a transformative upgrade from traditional manual methods to digital intelligent approaches and thus achieving improvements in both quality and efficiency. Data governance: unified standards to lay a solid foundation for testing. Further advance the standardized processing of downhole rod and tubing data as well as data from intermission pumping wells within the oil production and surface engineering operation management system, to provide accurate and consistent foundational data support for digital low-pressure testing. Comprehensively gather the data related to pipes and rods from the construction summaries in the oil production and surface engineering operation management system; clarify the sources of such data and define the applicable scenarios, thereby addressing the issues of scattered data and inconsistent standards, and ensuring that the basic data on pipes and rods used in testing and calculations is accurate and unambiguous ； A comprehensive verification of the data entered for the inter pumping wells in the oil production and surface engineering operation management system is carried out; data discrepancies are corrected based on the actual conditions on site. At the same time, cross-referencing is performed using the core data resources from both the oil, gas, and water well production data management system and the oil production and surface engineering operation management system, so as to eliminate data differences promptly and ensure that the data related to inter pumping wells is accurate from the source and unified across all areas” ； By leveraging the FDL data platform to automatically fetch the latest construction summary data from the system, and using predefined algorithms for automatic data updating and dynamic maintenance, this approach replaces the traditional manual data entry method. It reduces data update delays to the minute level, providing real-time and efficient data support for low-voltage testing. Algorithm optimization enables precise calculations to overcome testing bottlenecks. The algorithm model is iteratively optimized by focusing on two key areas: power diagram analysis and multi-parameter integration, to achieve accurate and automated calculation of low-pressure test data. Real-time acquisition of wellhead dynamic data enables precise measurement of key parameters such as stroke, number of strokes, and load. By building on existing technical capabilities, algorithms for analyzing performance diagrams and determining the liquid level are improved, providing a fundamental basis for the calculation of data from low-pressure tests ； By deeply integrating static data such as downhole rod and tubing specifications and basic information on wells with intermittent pumping, as well as real-time data, a multi-dimensional \"dynamic + static\" calculation model is established. This approach overcomes the limitations of using single parameters for calculations, enabling the test results to better reflect the actual operating conditions in the field ； By using optimization algorithms, the conversion and calculation of data related to low-voltage testing are carried out automatically, replacing the traditional manual calculation method. This approach eliminates human errors at the technical level, thereby significantly improving the reliability and consistency of the test data. Software integration and functional aggregation enhance test support. Integrate multiple functions to create an integrated automated testing software platform, enabling efficient, end-to-end operation of the entire testing process. The optimized low-pressure testing algorithm is integrated into the software system, enabling automated execution of functions such as power diagram analysis and multi-parameter fusion calculations; core data calculations can be completed without manual intervention, thus laying a solid foundation for automated testing ； It integrates various functions such as data querying, data generation, and supplementary well number entry. By utilizing standardized data, it enables precise filtering on the software interface; algorithms are used to automatically filter out a large amount of invalid data. Meanwhile, it consolidates the core data from the oil, gas, and water well production management system as well as the oil extraction and surface engineering operation management system. Complete data support can be obtained without the need to switch between different platforms, allowing for \"one-stop\" processing of test data without having to switch systems, which significantly simplifies the workflow and improves efficiency in coordinating different processes ； A linkage mechanism is established between the test data and the data related to the treatment of rod pipes and interval pumping wells, enabling real-time data sharing and retrospective analysis. This not only provides a basis for verifying test results but also offers integrated data references for subsequent operation and maintenance decisions. (Hu Linlin)