Automated method and system to detect segment rock particles
AssigneeSchlumberger Technology Corporation
InventorsJosselin Kherroubi, Matthias Francois, Tetsushi Yamada
Life of this patent
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Abstract
Systems and methods are provided for analyzing sample images, such as for rock particles obtained during drilling of a geologic formation. The system and techniques utilize a Large Foundation Model (LFM) in the segmentation of rock particles. The LFM can receive an image (or image data) of rock particles as an input and generates segmentation of the image at a pixel level (i.e., each pixel of the image is classified) as a segmented image. Additionally, active annotation can be provided in conjunction with a graphics user interface (GUI) to allows for user interaction with images as well as selective segmentation of the images.
Claims20
A system, comprising:
- one or more processors;
- and
- memory, accessible by the one or more processors, and storing instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
- receiving image data of an image of rock samples from an imaging system;
- analyzing the image data via an Artificial Intelligence (AI) model trained using a plurality of images;
- and
- generating a segmented image based on the analyzing of the image data via the AI model, wherein the segmented image comprises characterizations of the rock samples of the image data.
A computer-implemented method, comprising:
- receiving image data of an image of rock samples from an imaging system;
- analyzing the image data via an Artificial Intelligence (AI) model trained using a plurality of images;
- and
- generating a segmented image based on the analyzing of the image data via the AI model, wherein the segmented image comprises characterizations of the rock samples of the image data.
A device, comprising:
- a display;
- a processor communicatively coupled to the display;
- and
- a memory communicatively coupled to the processor, the memory storing instructions which, when executed, cause the processor to perform operations comprising:
- generating a graphical user interface (GUI);
- generating an image of rock samples corresponding to image data received from an imaging system for presentation on the display;
- receiving a first input via a first user interaction with the GUI;
- generating a visual icon for display on the display at a particular location on the image of rock samples displayed on the display, wherein the particular location is determined based upon the first input;
- receiving a second input via a second user interaction with the GUI;
- and
- in response to the second input, analyzing at least a portion of the image data via an Artificial Intelligence (AI) model trained using a plurality of images and generating a segmented image based on the analyzing of the at least a portion of the image data by the AI model, wherein the segmented image comprises characterizations of the at least a portion of the rock samples.
Dependencies are inferred from the claim text.