According to the World Petroleum Council (WPC), the average age of employees in Oil and Gas companies is 50 years, and it is estimated that in the next 5 years 40-60% of them will retire. The consequence is an age-related crisis in the sector, given that, in many cases, the knowledge accumulated goes with the retiring “gray-beards.” This is also a problem in many other mature industries. In this scenario, new software technologies are mandatory to retain decades of expertise of veterans, allowing them to transfer it to new employees. The objective of this project is to start paving the way for the development of a novel software system that supports timely decision-making tasks based on lessons learned and best practices in the oil and gas industry. The proposed project is composed of two main components focused on reducing the overhead of the complicated process of retrieving all necessary pieces of information to solve a problem. One component will integrate textual information from different sources, such as manuals, lessons learned, emails, and so on, allowing a total recall using natural language processing technologies to simplify the communication between users and computers. The second component will provide a simple and intuitive visual interface to enable users to navigate through the information space using an interactive active learning process that refines the recovered information to manageable sizes. A final key to the project is ensuring adequate involvement of the human “expert” to assist in the decision-making process..