神经网络技术在录井参数解释中的应用

Application of neural network technology in interpretation of well logging parameters

近年来,随着计算机技术的飞速发展,涌现出许多新方法新技术,人工神经网络技术就是其中之一。神经网络模型的语言识别、图像处理等方面获得了有价值的应用和进展,其研究成果也很快被引入到油气田勘探开发领域,其中包括资料的处理及解释。将计算机神经网络技术应用于录井行业,处理受钻井条件影响大、地质条件复杂,油气水层识别有一定困难的录井资料解释中,已成为目前国内录井行业探索的一个方向。

Artificial neural network technology is one of the new methods and technologies springing up along with the rapid development of computer technology in recent years. Valuable application and progress of neural network model have been achieved in the fields of speech reorganization and image processing. Its research findings have been introduced to the oil and gas field exploration and development,including the processing and interpretation of documents. It has become a new direction of domestic investigation in well logging to apply the artificial neural network technology to the logging of well. It is capable of processing and explaining well logging documents collected from the wells which are greatly influenced by the condition of well drilling,located in complicated geological conditions,and are difficult in oil-gas-water layers identification.