Agent-Based Soft Computing Society Applied in the Research of Reservoir Sedimentary Facies in Oil Fields

Authors:
Fuhua Shang;Ruishan Du;Yang Li
Affiliations:
Daqing Petroleum Institute, China;Daqing Petroleum Institute, China;Daqing Petroleum Institute, China
Venue:
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Year:
2006

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Abstract

The type of sedimentary facies in oil fields is a primary factor affecting the performance of the reservoir accumulation. The sedimentary facies research is the indispensable foundation work in process of exploring and developing the oil fields, which is determined by the many kinds of generalized analysis methods such as the geology, the earthquake, the oil well logging and so on. The technology of Agent is a new method that applies the agent-based Hybrid Intelligent Methodology, which is suitable for studying the integrative system. This paper presents a multi-Agent-based soft computing society model by methodology of Gaia, based on the research of Reservoir Sedimentary Facies.