公开(公告)号：US20200379135A1

公开(公告)日：2020-12-03

申请号：US16738025

申请日：2020-01-09

Applicant: CGG SERVICES SAS

Inventor： Song HOU ,  Stefano ANGIO ,  Henning HOEBER

IPC: G01V1/28 ,  G06N3/04 ,  G06N3/08 ,  G01V1/30

Abstract: Property values inside an explored underground subsurface are determined using hybrid analytic and machine learning. A training dataset representing survey data acquired over the explored underground structure is used to obtain labels via an analytic inversion. A deep neural network model generated using the training dataset and the labels is used to predict property values corresponding to the survey data using the DNN model.

公开(公告)号：US20240329267A1

公开(公告)日：2024-10-03

申请号：US18610814

申请日：2024-03-20

Applicant: CGG SERVICES SAS

Inventor： Song HOU

IPC: G01V1/34

CPC classification number: G01V1/345

Abstract: A method for delineating geological features of a surveyed subsurface with a vision-language model, VLM, the method including receiving verbal and/or written descriptions of the geological features, from a user, converting the verbal and/or written descriptions into interpretable input data using a large language model, LLM, configuring a pretrained VLM, based on the interpretable input data and geological images of another subsurface, to obtain a tailored VLM, and delineating with the tailored VLM, the geological features in an image of the subsurface, which is generated based on input seismic data d acquired over the subsurface.

公开(公告)号：US20250061104A1

公开(公告)日：2025-02-20

申请号：US18801942

申请日：2024-08-13

Applicant: CGG SERVICES SAS

Inventor： Song HOU ,  Chris SUBIA-WAUD

IPC: G06F16/22 ,  G06F16/245 ,  G06F16/248

Abstract: A method for extracting and displaying desired information from a set of tables includes storing a set of tables including information associated with a subsurface of the Earth; receiving a user query; selecting a table from the set of tables based on an embedding search performed for the user query, on a vector database of table-column questions of the set of tables; selecting one or more columns from the table based on a likelihood estimation performed in an embedding space, between (1) the user query and (2) a table summary and descriptions of columns for the selected table; determining one or more rows associated with the one or more columns; and displaying one or more answers in response to the user query.

公开(公告)号：US20230114602A1

公开(公告)日：2023-04-13

申请号：US17497312

申请日：2021-10-08

Applicant: CGG SERVICES SAS

Inventor： Song HOU ,  Peng ZHAO

IPC: G01V1/36

Abstract: One method interpolates simulated seismic data of a coarse spatial sampling to a finer spatial sampling using a neural network. The neural network is previously trained using a set of simulated seismic data with the finer spatial sampling and a subset thereof with the coarse spatial sampling. The data is simulated using an image of the explored underground formation generated using real seismic data. The seismic dataset resulting from simulation and interpolation is used for denoising the seismic data acquired over the underground formation. Another method demigrates seismic data at a sparse density and then increases density by interpolating traces using a neural network.