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An adaptive over/under data combination method
Authors:Jian-Wei He  Wen-Kai Lu  Zhong-Xiao Li
Affiliation:1. CNOOC China Ltd., Zhanjiang, 524000, China
2. State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Automation, Tsinghua University, Beijing, 100084, China
Abstract:The traditional “dephase and sum” algorithms for over/under data combination estimate the ghost operator by assuming a calm sea surface. However, the real sea surface is typically rough, which invalidates the calm sea surface assumption. Hence, the traditional “dephase and sum” algorithms might produce poor-quality results in rough sea conditions. We propose an adaptive over/under data combination method, which adaptively estimates the amplitude spectrum of the ghost operator from the over/under data, and then over/under data combinations are implemented using the estimated ghost operators. A synthetic single shot gather is used to verify the performance of the proposed method in rough sea surface conditions and a real triple over/under dataset demonstrates the method performance.
Keywords:Over/under data combination   dephase and sum   deghost   amplitude spectrum
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