A Platform to Integrate well-log Information Application on heterogeneous Environments

The well-log information is very important for determining the crude oil and natural gas reservoirs. Because there are diversified generating methods and applications, well-log information is usually stored and processed on heterogeneous operating systems and data resources. How to share well-log information on heterogeneous enviromnents efficiently is a big problem in petroleum industry. In this paper, we propose an agent-based platform in order to operate well-log information from heterogeneous data resources in uniform statements. The application and processing agents of well-log information on heterogeneousoperating systems are dynamically integrated into the platform. A ring-based architectural model of middle agents, which is based on ring-based organizational structure and token-based coordination mechanism, is proposed for promoting the robustness and scalability of the platform. The heterogeneous data resources and operating systems are effectively integrated by using middle agents with ring-based architectural model.Aprototype ofthis platform is implemented. The experimental results show that the platform works effectively. Index Tenns-Artificial intelligence,Heterogeneous platform, Software agent, Well-log information