An Agent-based Framework for Well-Logging Information Management

Abstract

In this paper, we contribute a framework based on multi-agent technique to manage large amounts of well-logging parameter graph information and store the data into Oracle database. We employed the idea of Gaia to design the framework. which consists of three levels, namely, role model level agent type level and agent instance level. Four agent types, which correspond to the four roles, are proposed. We design the architectural model of agent instances with Open Agent Architecture. The experimental results show that all agents in the system can work cooperatively.