- 专利标题: Building accurate training images for automatic seismic interpretation
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申请号: US17152329申请日: 2021-01-19
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公开(公告)号: US11079509B1公开(公告)日: 2021-08-03
- 发明人: Anne-Laure Tertois , Jean-Laurent Mallet , Zvi Koren
- 申请人: Emerson Paradigm Holding LLC
- 申请人地址: US TX Houston
- 专利权人: Emerson Paradigm Holding LLC
- 当前专利权人: Emerson Paradigm Holding LLC
- 当前专利权人地址: US TX Houston
- 代理机构: Pearl Cohen Zedek Latzer Baratz LLP
- 主分类号: G01V1/32
- IPC分类号: G01V1/32 ; G01V99/00 ; G06T3/00 ; G06N20/00 ; G06K9/62 ; G01V1/34
摘要:
Automatic propagation of real-world parent seismic images to efficiently generate a collection of realistic synthetic child training images to train a model for accurate automatic seismic interpretation. A 3D structural model in a present-day geological space (e.g., GB) depicting subsurface locations of particles (e.g., in region B) may be transformed by a 3D coordinate space transformation (e.g., uvtB) to a depositional space (e.g., G*B) depicting past depositional locations of those particles (e.g., corresponding depositional region B). A real-world parent image depicting subsurface locations of particles (e.g., in region A) may be transformed, via a forward transformation (e.g., uvtA), to a depositional seismic image in the depositional space of the three-dimensional structural model (e.g., G*A=G*B). A reverse transformation (e.g., uutB−1) may transform the depositional seismic image from the depositional space into synthetic child training images in the present-day geological space (e.g., GB) for training the model.