Case-based-reasoning (CBR) is another soft computing technology developed to deal with uncertainty, approximate reasoning and exploit knowledge domain. Case-based reasoning, also known as computer reasoning by analogy, is a simple and practical technique that solves new problems by comparing them to ones that have already been solved in the past, thus saving time and money. This paper provides a general framework of case-base reasoning along with a review of the four-step cycle that characterizes the technology (retrieve, reuse, revise and retain), followed by two specific applications where the technology was used in field operations. The proposed methodology extracts the relevant historical information thus capturing critical knowledge, utilizes a rule-based system to make adaptations, and then suggests the most appropriate solution for decision making. These simple case-studies demonstrates how case-base reasoning can be applied to improve the design, planning and execution of well operations, thus significantly increasing the job execution success while avoiding known pitfalls. In addition, the work demonstrates the value of captured “on-site” experience and shows the advantages of using intelligent systems in information and knowledge management.