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公开(公告)号：US20240151866A1
公开(公告)日：2024-05-09
申请号：US18485339
申请日：2023-10-12
CPC分类号： G01V1/301 , E21B49/087 , G01V1/306 , G01V11/005 , G01V2210/66
摘要： A geological projection system may receive seismic survey data, the seismic survey data including a seismic surface of a geological feature. A geological projection system may receive resistivity sensor data from a downhole resistivity sensor, the resistivity sensor data being for a reference length uphole of a reference depth. A geological projection system may generate a sensed surface over the reference length using the resistivity sensor data. A geological projection system may generate a displacement field of a difference between the sensed surface and the seismic surface for the reference length. A geological projection system may apply an uncertainty model to at least one of the resistivity sensor data, the seismic survey data, or the displacement field, the uncertainty model generating an output including an uncertainty distribution of a projected surface of the geological feature downhole of the reference depth.
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公开(公告)号：US11360233B2
公开(公告)日：2022-06-14
申请号：US16646910
申请日：2018-09-12
IPC分类号： G01V1/50 , E21B47/002 , E21B7/04 , E21B49/00 , G01V99/00
摘要： A method can include receiving seismic image data; processing the received seismic image data to generate stratigraphic information using a trained convolution neural network that includes channels subjected to convolution, activation and pooling that reduce spatial resolution and subjected to deconvolution and concatenation that increase spatial resolution; and enhancing the seismic image data using the stratigraphic information to generate an enhanced seismic image.
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公开(公告)号：US20200301036A1
公开(公告)日：2020-09-24
申请号：US16646910
申请日：2018-09-12
IPC分类号： G01V1/50 , E21B47/002 , E21B49/00 , E21B7/04
摘要： A method can include receiving seismic image data; processing the received seismic image data to generate stratigraphic information using a trained convolution neural network that includes channels subjected to convolution, activation and pooling that reduce spatial resolution and subjected to deconvolution and concatenation that increase spatial resolution; and enhancing the seismic image data using the stratigraphic information to generate an enhanced seismic image.
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公开(公告)号：US20240159931A1
公开(公告)日：2024-05-16
申请号：US18422228
申请日：2024-01-25
CPC分类号： G01V1/301 , E21B49/087 , G01V1/306 , G01V11/005 , G01V2210/66
摘要： A system and method that include receiving seismic survey data, the seismic survey data including a seismic geological property. The system and method also include receiving resistivity sensor data from a downhole resistivity sensor, the resistivity sensor data being for a reference length uphole of a reference depth. The system and method additionally include determining a sensed geological property of a geological feature in the reference length, the sensed geological property being determined based on the resistivity sensor data. The system and method also include determining a covariance of the sensed geological property and the seismic geological property and applying an uncertainty model to the sensed geological property and the covariance of the sensed geological property, the uncertainty model generating an output including an uncertainty distribution of a projected geological property downhole of the reference depth.
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公开(公告)号：US11313994B2
公开(公告)日：2022-04-26
申请号：US16484879
申请日：2018-02-09
IPC分类号： G06N20/00 , G01V99/00 , G01V1/28 , G01V1/30 , G01V1/36 , G01V1/50 , G01V3/08 , G01V3/18 , G01V3/38
摘要： A method can include selecting a type of geophysical data; selecting a type of algorithm; generating synthetic geophysical data based at least in part on the algorithm; training a deep learning framework based at least in part on the synthetic geophysical data to generate a trained deep learning framework; receiving acquired geophysical data for a geologic environment; implementing the trained deep learning framework to generate interpretation results for the acquired geophysical data; and outputting the interpretation results.
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公开(公告)号：US20190383965A1
公开(公告)日：2019-12-19
申请号：US16484879
申请日：2018-02-09
IPC分类号： G01V99/00 , G01V1/36 , G01V1/50 , G01V1/28 , G01V3/38 , G01V1/30 , G01V3/08 , G01V3/18 , G06N20/00
摘要： A method can include selecting a type of geophysical data; selecting a type of algorithm; generating synthetic geophysical data based at least in part on the algorithm; training a deep learning framework based at least in part on the synthetic geophysical data to generate a trained deep learning framework; receiving acquired geophysical data for a geologic environment; implementing the trained deep learning framework to generate interpretation results for the acquired geophysical data; and outputting the interpretation results.
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