Implementation and Applications of Intelligent Batch Processing Technology for Isotope Injection Profile Logging Interpretation
Isotope injection profile logging is the main monitoring method for understanding the water absorption status of each sub layer in water drive oilfields. The annual logging workload in China's oilfields is about 30000 wells, which plays a dominant role in dynamic monitoring of water injection reservoirs. The traditional isotope water injection profile relies on manual interpretation, which has low work efficiency, huge workload, and strong multi-solution, and is easily influenced by human factors of different analysts. It is no longer able to meet the growing production demand. By utilizing technologies such as big data monitoring and machine learning, key technical challenges such as basic data input, raw data decomposition, deep matching, tool recognition, curve stacking, and comprehensive evaluation have been solved, forming intelligent batch processing technology. Through integrated operation on the national major scientific and technological integration platform CIFLog, the single well processing time is reduced from 30～60 minutes to 30 seconds, and the manual intervention rate is less than 12％, verifying the effectiveness of the processing process and algorithm.
万方数据
维普
