Design and development of intelligent well logging interpretation system

In recent years, the traditional well logging interpretation method manually operated by experts has shown some problems, such as low efficiency and poor results, facing the challenges of high dimension, diversity and complexity of current logging data. With the progress of artificial intelligence, its effectiveness and efficiency in logging interpretation have gradually attracted researchers' attention. However, the uncertainty of logging process necessitates the preprocess of collected logging data before employing the artificial intelligence techniques. Thus, an intelligent well logging interpretation system is designed and developed in this paper. Since the logging data anomalies may include data repetition, null value, etc., a specific preprocessing module is designed in the system to tackle the data anomalies, so as to ensure that the data input into the algorithms is correct and complete. Data governance can effectively enhance the effectiveness of data, so it is used to guide the design and implementation of logging interpretation system. Moreover, user mode and debug mode are designed to solve the problem of cross functional conflict in data governance.