Common mid-point bin attribute analysis of three-dimensional seismic geometry using parallel computation method
LI Feng-Chun1,2, WANG Run-Qiu1, ZHAO Wei-Wei2, DU Qing-Bo2, GUO Wu2, WANG Han-Jun2
1. College of Geophysics and Information Engineering, China University of Petroleum, Beijing 102249, China;
2. Acquisition Technique Supports, BGP Inc., CNPC, Zhuozhou 072751, China
For the purpose of common mid-point bin attribute analysis from high density exploration and three-dimensional seismic geometry,this paper analyzes the calculation characteristics of bin analysis,and proposes an efficient parallel algorithm for bin attribute analysis based on Open Computing Language (OpenCL) heterogeneous programming model.The algorithm divides bin grid into several sub-regions under hardware memory constraint.Tasks of sub-regions are executed with coarse-grained parallelization by assigning task to different devices,whereas pairs of source-receiver in sub-region are executed with fine-grained parallelization.With HP's Z820 desktop workstation,experiment was carried out with high density three-dimensional geometry from seismic exploration.The experimental results show that the parallel algorithm takes full advantage of multiprocessor's parallel processing capability,and the processing speed is about 30 times faster than that on CPU-based implementation (single core) under the condition that the precision is not changed.
李逢春, 王润秋, 赵薇薇, 杜清波, 郭武, 王汉钧. 地震三维观测系统共中心点面元属性的并行计算方法[J]. 物探与化探, 2015, 39(5): 1074-1078.
LI Feng-Chun, WANG Run-Qiu, ZHAO Wei-Wei, DU Qing-Bo, GUO Wu, WANG Han-Jun. Common mid-point bin attribute analysis of three-dimensional seismic geometry using parallel computation method. Geophysical and Geochemical Exploration, 2015, 39(5): 1074-1078.
