Time-lapse seismic attributions clustering analysis

Abstract

Time-lapse attribution clustering analysis technology is studied. By analyzing many kinds of time-lapse seismic attribution and the geologic condition, the clustering analysis is done using the time-lapse seismic attribution with small correlative coefficient in the attribution relation graphics and the matrix distributing graphics, to determine the relationship between the time-lapse seismic attribution and the reservoir characteristic parameter. A practical clustering analysis class that is developed using object-oriented technology is introduced. It can complete the fundamental operation dynamic clustering analysis programming with little information. This paper also proposes the idea of adopting data parallelism when designing a parallel clustering algorithm. The clustering analysis technology and parallel clustering algorithm studied in this paper can also be used to design a network information propagation monitoring system combined with Chinese information processing and to achieve text cluster and theme discovery.