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公开(公告)号:US12241369B2
公开(公告)日:2025-03-04
申请号:US17647412
申请日:2022-01-07
Applicant: Schlumberger Technology Corporation
Inventor: Tetsushi Yamada , Simone Di Santo
IPC: E21B49/00 , G01N15/0227 , G01N15/1433 , G01N33/24 , G06T7/40 , E21B21/06 , E21B44/00
Abstract: Systems and methods are configured to receive one or more photographs depicting a plurality of cuttings, to identify one or more individual cuttings of the plurality of cuttings depicted in the one or more photographs, to extract morphological, color, texture, grain size, and grain distribution data from each individual cutting of the one or more individual cuttings, to perform lithological classification of the one or more individual cuttings at a plurality of hierarchical levels based at least in part on the extracted morphological, color, texture, grain size, and grain distribution data or based at least in part on features directly extracted from the one or more individual cuttings that represent the morphological, color, texture, grain size, and grain distribution data, and to present a consolidated results summary of the lithological classification of the one or more individual cuttings at the plurality of hierarchical levels via the analysis and control system.
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公开(公告)号:US10796462B2
公开(公告)日:2020-10-06
申请号:US16275598
申请日:2019-02-14
Applicant: Schlumberger Technology Corporation
Inventor: Simone Di Santo , Carlos Maeso
Abstract: Well log data may be used in well log operations by facilitating the identification of hydrogen carbon deposits. More specifically, the well log data may be used to generate visual representations. Aspects of the present disclosure relate to generating a color composite image based on multiple types of well log data and transforming the well log data into a color space. In further embodiments, the color composite image may be modified and/or objects within the color composite image may be identified.
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公开(公告)号:US20250116190A1
公开(公告)日:2025-04-10
申请号:US18483736
申请日:2023-10-10
Inventor: Wael Abdallah , Simone Di Santo , Ali Jasim A Al Solial , Shouxiang Ma
Abstract: Processes for characterizing reservoir formation parameters such as water salinity and water saturation. In some embodiments, the process can include directing a heat impulse into a formation sample that can include a matrix component and a fluid component at an input location. The heat impulse can be allowed to pass through the formation sample such that a matrix impulse forms through the matrix component and a fluid impulse forms through the fluid component. The matrix and fluid impulses can convolve at a measurement location to provide a convolved impulse. A derivative analysis of the convolved impulse can be performed to derive thermal transient measurements. A fluid thermal model can be developed using the thermal transient measurements. The fluid thermal model can be integrated with one or more downhole logs and/or input parameters to create an integrated model. One or more reservoir parameters can be determined from the integrated model.
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4.
公开(公告)号:US20250027410A1
公开(公告)日:2025-01-23
申请号:US18779870
申请日:2024-07-22
Applicant: Schlumberger Technology Corporation
Inventor: Tetsushi Yamada , Simone Di Santo , Karim Bondabou , Romain Prioul , Daniel Lockyer
IPC: E21B49/00 , E21B44/00 , G06V10/40 , G06V10/764
Abstract: Systems and methods are provided to analyze rock cuttings and measure physical lithological features of the rock cuttings. An image analysis workflow is provided, which includes multiple computational modules to automatically estimate relevant geological information from rock cuttings. Reference data, manual descriptions, and well log values are associated and used to determine rock properties of the rock cuttings. A software is developed for the image analysis, and results are displayed in various views.
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公开(公告)号:US20250139751A1
公开(公告)日:2025-05-01
申请号:US18722166
申请日:2023-05-24
Applicant: Schlumberger Technology Corporation
Inventor: Sophie Androvandi , Karim Bondabou , Francois Wantz , Matthias Francois , MaryEllen Loan , Tetsushi Yamada , Simone Di Santo
Abstract: A method for generating a depth log of cuttings obtained during a subterranean drilling operation includes acquiring images of the cuttings and labeling the images with a lagged depth at a rig site; generating a clustering of lithology types in the acquired images at a rig the site; transferring the images and the clustering of lithology types from the rig site to an offsite location; evaluating the images and the clustering of lithology types to label each of the lithology types at the offsite location; and generating a description and/or depth log of the labeled lithology types at the offsite location.
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公开(公告)号:US20240175857A1
公开(公告)日:2024-05-30
申请号:US18058934
申请日:2022-11-28
Inventor: Simone Di Santo , Wael Abdallah , Shouxiang Mark Ma , Ali Jasim A Al Solial
Abstract: Methods and systems are provided for predicting thermal properties of a subsurface rock formation. A training dataset is derived from petrophysical properties of a plurality of formation rock samples and thermal properties of the plurality of formation rock samples. The training dataset is used to train a machine learning model that predicts label data representing the predefined set of thermal properties given input data representing the predefined set of petrophysical properties of an arbitrary formation rock sample. The machine learning model can be validated and deployed for use in predicting thermal properties of subsurface rock formations.
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7.
公开(公告)号:US20230220770A1
公开(公告)日:2023-07-13
申请号:US17647412
申请日:2022-01-07
Applicant: Schlumberger Technology Corporation
Inventor: Tetsushi Yamada , Simone Di Santo
CPC classification number: E21B49/005 , G01N33/24 , E21B44/00
Abstract: Systems and methods presented herein generally relate to measuring physical lithological features based on calibrated photographs of cuttings and, more specifically, to the analysis of individual cuttings that are identified in the calibrated photographs of the cuttings. For example, the systems and methods presented herein are configured to receive one or more photographs that depict a plurality of cuttings, to identify one or more individual cuttings of the plurality of cuttings depicted in the one or more photographs, to extract morphological, color, texture, grain size, and grain distribution data from each individual cutting of the one or more individual cuttings, to perform lithological classification of the one or more individual cuttings at a plurality of hierarchical levels based at least in part on the extracted morphological, color, texture, grain size, and grain distribution data or based at least in part on features directly extracted from the one or more individual cuttings that represent the morphological, color, texture, grain size, and grain distribution data, and to present a consolidated results summary of the lithological classification of the one or more individual cuttings at the plurality of hierarchical levels via the analysis and control system.
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公开(公告)号:US20200265615A1
公开(公告)日:2020-08-20
申请号:US16275598
申请日:2019-02-14
Applicant: Schlumberger Technology Corporation
Inventor: Simone Di Santo , Carlos Maeso
Abstract: Well log data may be used in well log operations by facilitating the identification of hydrogen carbon deposits. More specifically, the well log data may be used to generate visual representations. Aspects of the present disclosure relate to generating a color composite image based on multiple types of well log data and transforming the well log data into a color space. In further embodiments, the color composite image may be modified and/or objects within the color composite image may be identified.
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公开(公告)号:US20240375046A1
公开(公告)日:2024-11-14
申请号:US18688806
申请日:2022-09-23
Applicant: Schlumberger Technology Corporation
Inventor: Simone Di Santo
IPC: B01D53/62 , B01D9/00 , B01D53/34 , B01D53/78 , B01F33/452 , B01F101/00
Abstract: Systems are provided for capturing carbon dioxide that includes a water source supplying a flow of source water, a gas source supplying a flow of source gas, a carbonation chamber, sensors, and a controller. The chamber has a first inlet fluidly coupled to the water source by a first valve, a second inlet fluidly coupled to the gas source by a second valve, and an outlet. The sensors measure fluid properties for i) source water that flows into the chamber, ii) fluid within the chamber, and iii) fluid that exits the chamber. The controller is configured to automatically control the first and second valves based on evaluation of time-series data representing the measured fluid properties to provide flows of the source water and the source gas into the chamber that produces a continuous carbonation reaction in the chamber concurrent with fluid outflow from the chamber.
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公开(公告)号:US12131526B2
公开(公告)日:2024-10-29
申请号:US17647407
申请日:2022-01-07
Applicant: Schlumberger Technology Corporation
Inventor: Tetsushi Yamada , Simone Di Santo
IPC: G06V10/82 , E21B44/00 , G01N15/1433 , G06N3/08 , G06T7/00 , G06T7/73 , G06V10/77 , G06V10/774 , G06V20/10
CPC classification number: G06V10/82 , E21B44/00 , G06N3/08 , G06T7/0004 , G06T7/74 , G06V10/7715 , G06V10/774 , G06V20/10 , E21B2200/22 , G01N15/1433 , G06T2207/20081 , G06T2207/20084 , G06T2207/30181
Abstract: Systems and methods presented herein are configured to train a neural network model using a first set of photographs, wherein each photograph of the first set of photographs depicts a first set of objects and include one or more annotations relating to each object of the first set of objects; to automatically create mask images corresponding to a second set of objects depicted by a second set of photographs; to enable manual fine tuning of the mask images; to re-train the neural network model using the second set of photographs, wherein the re-training is based at least in part on the manual fine tuning of the mask images; and to identify one or more individual objects in a third set of photographs using the re-trained neural network model.
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