Gorgon OBN Seismic Survey
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This project is about the scientific analyses of the continuous seismic dataset from the Ocean Bottom Node (OBN) seismic survey acquired over the Gorgon Gas Field. This survey was the first commercial OBN seismic survey of Australia funded by Chevron and its partners. OBN surveys are in general expensive to acquire, but also offers unprecedented opportunities Because of the large spatial extent (over 3000 sampled points), and also continuous nature of the dataset (approx. 70 Tb data), it offers unique scientific opportunities that will be tackled by the members of Deep Earth Imaging FSP (DEI) and wider CSIRO. These activities are in the domains of full waveform inversion, passive seismology, and joint seismic inversion. In each of the activity, the aim is to increase our understanding of the subsurface. Initially, we planned the following activities: 1. Test DEI’s recently developed 2D Bayesian Full Waveform Seismic Inversion algorithm. 2. Use P and S wavefields in a joint Bayesian inversion setting to investigate the feasibility of the approach. 3. Test seismic noise and scattered wavefield cross and autocorrelations to retrieve the response of the earth beneath the array. T 4. Retrieve and use Scholte waves as a constraint for inverting S wave velocity with bathymetry. 5. Check the imprint of regional seismic events originated from Indonesia and surroundings across the seismic array and investigate the use of it for gross-scale deep seismic imaging.
本项目针对取自戈尔贡气田（Gorgon Gas Field）的海底节点（Ocean Bottom Node, OBN）地震勘探连续地震数据集开展科学分析。本次勘探是澳大利亚首个由雪佛龙（Chevron）及其合作方资助的商业化海底节点地震勘探项目。海底节点地震勘探通常采集成本高昂，但也蕴含前所未有的研究机遇：本数据集空间覆盖范围极广（采样点超3000个）且为连续型数据（总数据量约70太字节），因此为深部地球成像研究联盟（Deep Earth Imaging FSP, DEI）成员及澳大利亚联邦科学与工业研究组织（CSIRO）的广大科研人员提供了独特的科学研究契机。相关研究将围绕全波形反演、被动地震学以及联合地震反演三大领域展开，各研究方向的核心目标均为深化对地下地质结构的认知。项目初期规划开展以下研究工作：1. 测试DEI团队近期研发的二维贝叶斯全波形地震反演算法；2. 结合纵波（P波）与横波（S波）场开展联合贝叶斯反演，探究该方法的可行性；3. 通过对地震噪声与散射波场进行互相关与自相关处理，反演获取阵列下方地球介质的响应特征；4. 提取肖莱波（Scholte waves）并将其作为约束条件，结合水深数据开展横波速度反演；5. 分析由印度尼西亚及其周边区域产生的区域性地震事件在整个地震勘探阵列中的响应特征，并探究其在大尺度深部地震成像中的应用潜力。
