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Abstract

Summary

Nowadays, with the improvement in seismic data needed for oilfield development, the problems existing in the legacy data are gradually emerging, which brings sharply into focus the higher requirements for new seismic acquisition and corresponding challenges for data processing and imaging. As the number and complexity of facilities in a producing oilfield increases with its maturity of development this increases the difficulty of acquiring the improved quality seismic data required for optimised field development. The Ocean Bottom Node (OBN) solution is an effective means to solve these problems in highly congested producing field areas. In this paper we will describe the techniques for working in congested shallow water, explain the comprehensive OBN data quality control techniques needed for such high channel count acquisition, such as the node positioning accuracy QC and geophone tilt accuracy QC. Additionally, the paper will present distinctive marine processing technologies: the latest development in AI-based first-break picking, as well as a robust tomo-statics inversion package for seismic acquisition in shallow water areas. With the support of fault AI detection, the resulting fault distribution maps are clearer and more geologically reasonable. BGP’s proprietary technologies have been proven to be a successful solution for shallow water seismic acquisition.

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/content/papers/10.3997/2214-4609.2023628020
2023-09-18
2026-02-06
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References

  1. Wang, W, et. al, Application of deep learning in first-break picking of shallow OBN data, 2023. GoTech Gas & Oil Technology Showcase & Conference
    [Google Scholar]
  2. LyuXiaolin, et.al, Solving processing and imaging challenges in a Southern Caspian Sea complex structure through modern OBN acquisition, 2023. GoTech Gas & Oil Technology Showcase & Conference
    [Google Scholar]
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