石油物探2024，Vol.63Issue(4)：807-816,10.DOI:10.12431/issn.1000-1441.2024.63.04.009
基于Spark的叠加能量寻优反射波剩余静校正算法的工程化实现
Engineering realization of reflection residual static correction optimized using Spark-based stacked energy
摘要
Abstract
Reflection residual static correction optimized using stacked energy is an effective means to solve the problem of residual static correction with high accuracy.However,it suffers from a large amount of calculation and multi-domain data switching.Due to the growing volume of raw data,efficient computation has become a bottleneck in practical applications.In this paper,we analyze the computation-intensive and communication-intensive characteristics of reflection residual static correction optimized using stacked energy,and put forward a technical solution based on the Spark distributed in-memory computing model to address the is-sue of parallel computation.We realize high-efficiency transfer of elastically distributed mass seismic data and flexible switching of multi-domain data,and accomplish multi-node distributed parallel computing of reflection residual static correction optimized using stacked energy,with significantly improved computational efficiency and feasibility.Practical applications show that the software implementation of our method,featuring strong adaptability and high computational efficiency,is good enough for seismic data pro-cessing in the areas with complicated near-surface conditions,e.g.mountainous and desert areas.关键词
反射波剩余静校正/Spark框架/工程化实现/分布式并行计算Key words
reflection residual static correction/Spark computing framework/engineering realization/distributed parallel computing分类
天文与地球科学引用本文复制引用
袁联生..基于Spark的叠加能量寻优反射波剩余静校正算法的工程化实现[J].石油物探,2024,63(4):807-816,10.基金项目
中国石化科技部项目"a地震处理系统新技术集成(P23025)"、"π处理系统特色技术集成与软件工程化管理(P22185)"、"系列特色应用模块的集成(P20053-1)"和"π应用系统关键应用功能完善与实用化(P21066-2)"共同资助.This research is financially supported by the Science and Technology Project of SINOPEC(Grant Nos.P23025,P22185,P20053-1,P21066-2). （P23025）
