基于实例推理的钻井液配方设计系统

Case-based reasoning designing system for drilling fluid formulation.

基于实例推理技术是近年发展起来的一种人工智能方法。基于实例推理是一种相似问题求解方法,其核心在于用过去实际中所用的实例和经验解决新问题。它可根据问题的特征,从实例库中检索出相似的实例,然后以知识库中的领域知识和经验为指导,根据问题的实际情况对检索到的实例加以调整、修改和综合,使之达到解决问题的需要。将基于实例推理的技术应用于钻井液配方的设计中,主要解决实例描述、特征提取、实例推理以及实例评价和修改等几个问题。通过钻井液配方实例的检索和实例推理算法的探讨,进一步加快人工智能技术在钻井液配方设计中的应用,可以提高钻井液配方设计效率,并使钻井液配方的设计更具规范性和合理性。

Case-Based Reasoning (CBR) is an intelligent method developed in recent years. As an analog approach, its core is to solve new problems based on case histories and experience obtained in past drilling practice. The treating procedure is to search the case database for the similar case history according to characters of the new problem; and adjust, modify or integrate the selected cases based on the real condition in which the problem would appear, so as to improve them to satisfy the requirements. When this technology is applied in drilling fluid formulation designing, it mainly focuses on the issues such as case description, characters screening, case reasoning, evaluation and modification. By searching case histories, modifying and reusing the past drilling fluid formulations, studying the basic procedure of case-based reasoning calculation, this system will accelerate the application of the artificial intelligent technology in drilling fluid formulation design. Furthermore, it may increase the drilling fluid formulation designing efficiency, making the design more canonical and more reasonable.