MX2022011830A - Metodo para predecir caracteristicas geologicas a partir de imagenes de nucleos geologicos usando un proceso de segmentacion de aprendizaje profundo. - Google Patents
Metodo para predecir caracteristicas geologicas a partir de imagenes de nucleos geologicos usando un proceso de segmentacion de aprendizaje profundo.Info
- Publication number
- MX2022011830A MX2022011830A MX2022011830A MX2022011830A MX2022011830A MX 2022011830 A MX2022011830 A MX 2022011830A MX 2022011830 A MX2022011830 A MX 2022011830A MX 2022011830 A MX2022011830 A MX 2022011830A MX 2022011830 A MX2022011830 A MX 2022011830A
- Authority
- MX
- Mexico
- Prior art keywords
- images
- features
- geologic
- geological
- geological features
- Prior art date
Links
- 238000000034 method Methods 0.000 title abstract 5
- 230000011218 segmentation Effects 0.000 title abstract 4
- 238000013135 deep learning Methods 0.000 title 1
- 208000035126 Facies Diseases 0.000 abstract 1
- 210000003462 vein Anatomy 0.000 abstract 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/243—Classification techniques relating to the number of classes
- G06F18/2431—Multiple classes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/70—Labelling scene content, e.g. deriving syntactic or semantic representations
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Bioinformatics & Computational Biology (AREA)
- General Engineering & Computer Science (AREA)
- Artificial Intelligence (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computational Linguistics (AREA)
- Multimedia (AREA)
- Image Analysis (AREA)
- Geophysics And Detection Of Objects (AREA)
- Investigation Of Foundation Soil And Reinforcement Of Foundation Soil By Compacting Or Drainage (AREA)
- Image Processing (AREA)
Abstract
Un método para predecir una ocurrencia de una característica geológica en una imagen de núcleo geológico usa un proceso de segmentación habilitado por retropropagación entrenado ingresando múltiples imágenes de núcleo geológico de entrenamiento y un conjunto de etiquetas asociadas de características geológicas, calculando iterativamente una predicción de la probabilidad de ocurrencia de la característica geológica para las imágenes de entrenamiento y ajustando los parámetros en el modelo de segmentación habilitado por retropropagación hasta que el modelo esté entrenado. El modelo de segmentación habilitado por retropropagación entrenado se usa para predecir la ocurrencia de las características geológicas en imágenes de núcleos geológicos que no son de entrenamiento. Las características geológicas que se pueden predecir con este método incluyen características estructurales (como venas, fracturas, contactos de lecho, etc.) y características estratigráficas (como tipos litológicos, estructuras sedimentarias, facies sedimentarias, etc.).
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US202063000009P | 2020-03-26 | 2020-03-26 | |
| PCT/EP2021/057401 WO2021191195A1 (en) | 2020-03-26 | 2021-03-23 | Method for predicting geological features from images of geologic cores using a deep learning segmentation process |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| MX2022011830A true MX2022011830A (es) | 2022-10-18 |
Family
ID=75339690
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| MX2022011830A MX2022011830A (es) | 2020-03-26 | 2021-03-23 | Metodo para predecir caracteristicas geologicas a partir de imagenes de nucleos geologicos usando un proceso de segmentacion de aprendizaje profundo. |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US20230145880A1 (es) |
| AU (1) | AU2021240960B2 (es) |
| BR (1) | BR112022019171A2 (es) |
| GB (1) | GB2607788A (es) |
| MX (1) | MX2022011830A (es) |
| WO (1) | WO2021191195A1 (es) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115631301B (zh) * | 2022-10-24 | 2023-07-28 | 东华理工大学 | 基于改进全卷积神经网络的土石混合体图像三维重建方法 |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10249080B2 (en) | 2014-11-05 | 2019-04-02 | Shell Oil Company | Systems and methods for multi-dimensional geophysical data visualization |
| US20170286802A1 (en) | 2016-04-01 | 2017-10-05 | Saudi Arabian Oil Company | Automated core description |
-
2021
- 2021-03-23 AU AU2021240960A patent/AU2021240960B2/en active Active
- 2021-03-23 US US17/907,751 patent/US20230145880A1/en active Pending
- 2021-03-23 BR BR112022019171A patent/BR112022019171A2/pt unknown
- 2021-03-23 GB GB2212284.0A patent/GB2607788A/en active Pending
- 2021-03-23 WO PCT/EP2021/057401 patent/WO2021191195A1/en active Application Filing
- 2021-03-23 MX MX2022011830A patent/MX2022011830A/es unknown
Also Published As
| Publication number | Publication date |
|---|---|
| GB2607788A (en) | 2022-12-14 |
| US20230145880A1 (en) | 2023-05-11 |
| BR112022019171A2 (pt) | 2022-11-08 |
| GB202212284D0 (en) | 2022-10-05 |
| AU2021240960A1 (en) | 2022-09-22 |
| WO2021191195A1 (en) | 2021-09-30 |
| AU2021240960B2 (en) | 2023-08-31 |
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