An approach to seismic attributes fusion and reduction based on rough polarization sparse matrix
Liu Taoping1, Liu Hongjie2, Lou bing2, Gao xinfeng2
1. School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China;
2. Geophysical Research Institute, Research Institute of Exploration and Development, Xinjiang Oilfield Company, PetroChina, Urumqi, Xinjiang 830013, China
Abstract：In the oil seismic exploration, seismic attributes are mainly adopted for oil and gas prediction. However, too many seismic attributes involved may not lead to a better prediction, and they may lower prediction accuracy instead. Therefore the selection of seismic attributes shall be optimized in accordance with the prediction object. As a result, research on seismic attributes reduction approaches has become a significant part. With the basis of the rough set theory and the polarization matrix, we propose an approach to seismic multi-attribute fusion in this paper. All the seismic attribute reductions are obtained by sparse polarization matrix combination. The feasibility of the proposed approach is further testified in the theory. It is a simple and easy way to access. Simulation tests and practical applications manifest that the proposed approach can not only decrease multiplicity and improve oil and gas prediction accuracy, but also improve prediction efficiency in practice.
刘涛平, 刘宏杰, 娄兵, 高新峰. 基于粗糙极化稀疏矩阵的地震属性融合约简方法及其应用[J]. 石油地球物理勘探, 2016, 51(4): 774-781.
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