Abstract: Continuous updates of information management in gas fields lead to data volume increasing dramatically. Due to small volume in data management and low efficiency in data analysis, conventional gas productivity curves may waste precious data resources and fail to detect problems in gas well production in a timely manner. To change this situation, an innovative gas productivity curve containing K-line plot has been developed, which involves building daily and hourly charts using relevant software. By replacing, amplifying, shrinking and comparing relevant curves, trends and patterns of daily and hourly charts can be identified accurately. In this way, sophisticated dynamic analyses for individual wells can be performed more efficiently. Field applications of this technique in high-sulfur gas fields show the innovative daily and hourly gas productivity curves can accurately respond to changes of production performance both in trend and pattern. With abnormal conditions in gas well production identified effectively, proper countermeasures can be taken in advance. In addition to enhance accuracy and predictability of dynamic analyses in gas wells, the newly developed technique can significantly promote further development of dynamic analysis techniques of gas wells on IT platform.