公开(公告)号：US20210192712A1

公开(公告)日：2021-06-24

申请号：US16868739

申请日：2020-05-07

Applicant: Schlumberger Technology Corporation

Inventor： Carlos Maeso ,  Daniel Quesada ,  Ana Escobar ,  Youssef Tamaazousti ,  Josselin Kherroubi ,  Jean-Christophe Auchere

IPC: G06T7/00 ,  G06T11/60 ,  G06T7/73 ,  G06K9/62 ,  E21B47/002 ,  E21B47/18 ,  E21B49/00 ,  G01V3/20 ,  G01V1/44 ,  G01V11/00

Abstract: The disclosure relates to a method and system for downhole processing of data, such as images, including using a set of downhole sensors to measure parameters relative to the borehole at a plurality of depths and azimuths and detecting predetermined features of the borehole, using a downhole processor, with a trained machine-learning model and extracting characterization data, characterizing the shape and position of the predetermined features that are transmitted to the surface. It also provides a method and system for providing an image of a geological formation at the surface including transmitting a first dataset to the surface that will be used for reconstructing an image at the surface, downhole processing of a second dataset to detect predetermined features and extract characterization data that are transmitted at the surface and displaying a combined image comprising the predetermined features overlaid on the first image.

公开(公告)号：US20240103036A1

公开(公告)日：2024-03-28

申请号：US17932398

申请日：2022-09-15

Applicant: Schlumberger Technology Corporation

Inventor： Salma Benslimane ,  Ana Escobar ,  Remi Robutel ,  Laurent Laval

IPC: G01P15/18 ,  G06N20/00

CPC classification number: G01P15/18 ,  G06N20/00

Abstract: A method, sensor, and non-transitory computer-readable storage medium are provided for estimating actual amplitudes of a waveform. A machine learning model may be trained for an embedded system of a first three-axes sensor having a limited range to estimate the actual amplitudes of a waveform that saturates the first three-axes sensor in a direction of one of the three axes. The embedded system acquires a second waveform during use of a tool including the first three-axes sensor. The second waveform that occurs after a second waveform producing event is isolated. The embedded system extracts a multi-dimensional feature from the isolated second waveform and estimates, using the machine learning model, the actual amplitudes of the second waveform based on the extracted multi-dimensional feature.

公开(公告)号：US20250111108A1

公开(公告)日：2025-04-03

申请号：US18593158

申请日：2024-03-01

Applicant: Schlumberger Technology Corporation

Inventor： Ivan Fornasier ,  Maneesh Pisharat ,  Ana Escobar ,  Pawel Presnal

IPC: G06F30/27

Abstract: A method for estimating reservoir fluid properties includes classifying the reservoir fluid as normal or abnormal from a measured gas composition and a classified fluid type with a trained machine learning model, predicting a heavy hydrocarbon fraction of the reservoir fluid when the reservoir fluid is classified as normal from the measured composition and the classified fluid type with a another trained machine learning, and predicting a heavy hydrocarbon fraction of the reservoir fluid when the reservoir fluid is classified as abnormal from the measured composition and the classified fluid type with a still another trained machine learning model.

公开(公告)号：US11526977B2

公开(公告)日：2022-12-13

申请号：US16868739

申请日：2020-05-07

Applicant: Schlumberger Technology Corporation

Inventor： Carlos Maeso ,  Daniel Quesada ,  Ana Escobar ,  Youssef Tamaazousti ,  Josselin Kherroubi ,  Jean-Christophe Auchere

IPC: E21B47/002 ,  G06T7/00 ,  G06T7/73 ,  E21B47/18 ,  E21B49/00 ,  G01V1/44 ,  G01V3/20 ,  G01V11/00 ,  G06K9/62 ,  G06T11/60

Abstract: The disclosure relates to a method and system for downhole processing of data, such as images, including using a set of downhole sensors to measure parameters relative to the borehole at a plurality of depths and azimuths and detecting predetermined features of the borehole, using a downhole processor, with a trained machine-learning model and extracting characterization data, characterizing the shape and position of the predetermined features that are transmitted to the surface. It also provides a method and system for providing an image of a geological formation at the surface including transmitting a first dataset to the surface that will be used for reconstructing an image at the surface, downhole processing of a second dataset to detect predetermined features and extract characterization data that are transmitted at the surface and displaying a combined image comprising the predetermined features overlaid on the first image.