An agent-based curve-digitizing system for well-logging data management

To permanently keep and efficiently use data implied in curves on well-logging parameter graphs is becoming very important in the petroleum industry. In this paper, we contribute a system based on multi-agent technology to digitize well-logging curves and store the data into the Oracle database by means of an agent-based database broker. We employed some ideas of Gaia and Open Agent Architecture (OAA) to analyze and design the system. We applied the line adjacency graph (LAG) data structure to develop the image-compressing agent, which compresses image files with great efficiency. According to the characteristics of the well-logging parameter graph, the digitizing algorithms based on a centimeter grid of coordinates, which perfectly rectify the distortion of the parameter graph, are proposed for implementing the digitizing agent. We applied middleware agents to operate databases in the uniform Database-based Agent Communication Language (DBACL). The experimental results show that all agents in the system can work cooperatively.