首页> 外文会议>Society of Petroleum Engineers/European Association of Geoscientists and Engineers Conference and Exhibition >Ocean Bottom Nodes (OBN) Processing Case History: Dalia 3D Survey, Offshore Angola
【24h】

Ocean Bottom Nodes (OBN) Processing Case History: Dalia 3D Survey, Offshore Angola

机译:海底节点(OBN)处理案例历史:Diralia 3D调查,离岸安哥拉

获取原文

摘要

In 2008 and 2009, Ocean Bottom Nodes (OBN) have been used by Total to acquire an industrial scale seismic survey on the Dalia oilfield in deep offshoreAngola, and compare it to conventional undershoot as an alternative technology to overcome field obstruction issues and related HSE risks that occur in such production environments. This acquisition was part of a time lapse survey program involving baseline and monitor towed streamer acquisitions. This acquired OBN monitor data has a significant overlap with its streamer equivalent monitor, and can easily be compared to conventional acquisition and processing. Processing OBN data was a challenging task requiring quick learning and was based on several objectives: 1- repositioning; 2- to correct time shifts from tide, synchronization or clock drift; 3- to reduce differences between OBN and towed streamers; 4- to preserve the bandwidth; 5- to match the OBN data to the streamer data. The processing team strongly benefited from the framework of the R&D collaboration in place between CGGVeritas and Total. Numerous innovations were quickly transferred to the operation, to be used or tested for future surveys. Finally, when compared, OBN data and towed streamer data give close results and a relevant 4D response.
机译:2008年和2009年,海底节点(OBN)已被总共使用,以在深度偏离海底戈拉的DALIA OILFIELD中获取工业规模地震调查,并将其与传统的欠冲作为替代技术进行比较,以克服现场障碍问题和相关的HSE风险在这种生产环境中发生。此次收购是涉及基线和监控拖曳拖缆收购的时间流逝调查计划的一部分。此次收购的OBN监视器数据具有与其拖缆等效显示器的显着重叠,并且可以轻松地与传统的采集和处理进行比较。处理OBN数据是一个具有挑战性的任务,需要快速学习,并基于若干目标:1-重新定位; 2-纠正从潮汐,同步或时钟漂移的时间转移; 3-减少OBN和牵引拖缆之间的差异; 4-保留带宽; 5-与OBN数据匹配到流数据。加工团队强烈利益,从CGGVeritas和总共之间的研发协作框架中受益。众多创新迅速转移到运行,用于将来调查或测试。最后,当比较时,OBN数据和牵引流媒体数据给出了接近的结果和相关的4D响应。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号