MX2022003480A - Modelado terrestre de alta resolucion utilizando inteligencia artificial. - Google Patents

Modelado terrestre de alta resolucion utilizando inteligencia artificial.

Info

Publication number
MX2022003480A
MX2022003480A MX2022003480A MX2022003480A MX2022003480A MX 2022003480 A MX2022003480 A MX 2022003480A MX 2022003480 A MX2022003480 A MX 2022003480A MX 2022003480 A MX2022003480 A MX 2022003480A MX 2022003480 A MX2022003480 A MX 2022003480A
Authority
MX
Mexico
Prior art keywords
embodiments include
artificial intelligence
machine learning
learning model
training data
Prior art date
Application number
MX2022003480A
Other languages
English (en)
Inventor
Barry F Zhang
Yasser Mosaad Ahmed Mohamed
Orlando De Jesus
Michael Costello
Original Assignee
Quantico Energy Solutions Llc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Quantico Energy Solutions Llc filed Critical Quantico Energy Solutions Llc
Publication of MX2022003480A publication Critical patent/MX2022003480A/es

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V20/00—Geomodelling in general
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
    • G01V1/30—Analysis
    • G01V1/306—Analysis for determining physical properties of the subsurface, e.g. impedance, porosity or attenuation profiles
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/40—Seismology; Seismic or acoustic prospecting or detecting specially adapted for well-logging
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V11/00—Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V2210/00—Details of seismic processing or analysis
    • G01V2210/60—Analysis
    • G01V2210/64—Geostructures, e.g. in 3D data cubes
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V2210/00—Details of seismic processing or analysis
    • G01V2210/70—Other details related to processing
    • G01V2210/72—Real-time processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology

Landscapes

  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Geophysics (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Remote Sensing (AREA)
  • Computing Systems (AREA)
  • Biophysics (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Biomedical Technology (AREA)
  • Geology (AREA)
  • Environmental & Geological Engineering (AREA)
  • Acoustics & Sound (AREA)
  • Geophysics And Detection Of Objects (AREA)
  • Image Analysis (AREA)
  • Compositions Of Oxide Ceramics (AREA)

Abstract

Los aspectos de la presente divulgación se relacionan con el uso de inteligencia artificial para un modelado terrestre de alta resolución. Las realizaciones incluyen recibir datos de entrenamiento, que comprenden: atributos de pozo relacionados con una pluralidad de puntos de profundidad; y datos de forma de onda adyacentes relacionados con una primera pluralidad de direcciones con respecto a cada punto de profundidad de la pluralidad de puntos de profundidad. Las realizaciones incluyen proporcionar al menos un subconjunto de los datos de entrenamiento como entradas a un modelo de aprendizaje automático. Las realizaciones incluyen recibir salidas del modelo de aprendizaje automático en función de las entradas. Las realizaciones incluyen ajustar iterativamente parámetros del modelo de aprendizaje automático en función de las salidas y los datos de entrenamiento.
MX2022003480A 2019-09-24 2020-10-09 Modelado terrestre de alta resolucion utilizando inteligencia artificial. MX2022003480A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201962905008P 2019-09-24 2019-09-24
PCT/US2020/055135 WO2021062422A1 (en) 2019-09-24 2020-10-09 High-resolution earth modeling using artificial intelligence

Publications (1)

Publication Number Publication Date
MX2022003480A true MX2022003480A (es) 2022-07-13

Family

ID=73344121

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2022003480A MX2022003480A (es) 2019-09-24 2020-10-09 Modelado terrestre de alta resolucion utilizando inteligencia artificial.

Country Status (7)

Country Link
US (1) US20210089897A1 (es)
BR (1) BR112022005053A8 (es)
CA (1) CA3154625A1 (es)
GB (1) GB2602760B (es)
MX (1) MX2022003480A (es)
NO (1) NO20220399A1 (es)
WO (1) WO2021062422A1 (es)

Families Citing this family (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11704579B2 (en) * 2020-04-17 2023-07-18 Quantic Energy Solutions Llo Earth modeling methods using machine learning
US11741359B2 (en) * 2020-05-29 2023-08-29 Saudi Arabian Oil Company Systems and procedures to forecast well production performance for horizontal wells utilizing artificial neural networks
US20230222773A1 (en) * 2020-06-24 2023-07-13 Shell Oil Company Method for predicting geological features from borehole image logs
CN113820741B (zh) * 2021-08-16 2022-11-29 中国海洋石油集团有限公司 一种基于深度学习的地震反演初始模型构建方法
IT202100031214A1 (it) * 2021-12-13 2023-06-13 Geolog S R L Metodo e sistema per determinare proprieta’ fisiche di formazioni rocciose
CN114861563B (zh) * 2022-04-27 2022-12-13 中国石油大学(华东) 物理嵌入深度学习地层压力预测方法、装置、介质及设备
CN115059448A (zh) * 2022-06-01 2022-09-16 中国石油大学(华东) 一种基于深度学习算法的地层压力监测方法
CN115291281B (zh) * 2022-09-30 2022-12-20 中国科学院地质与地球物理研究所 基于深度学习的实时微地震震级计算方法及装置
CN115616665B (zh) * 2022-09-30 2023-07-21 中国科学院地质与地球物理研究所 卷积神经网络的处理方法、装置和电子设备

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8024123B2 (en) * 2007-11-07 2011-09-20 Schlumberger Technology Corporation Subterranean formation properties prediction
US8818779B2 (en) * 2009-12-21 2014-08-26 Baker Hughes Incorporated System and methods for real-time wellbore stability service
US10677052B2 (en) * 2014-06-06 2020-06-09 Quantico Energy Solutions Llc Real-time synthetic logging for optimization of drilling, steering, and stimulation
US10242312B2 (en) 2014-06-06 2019-03-26 Quantico Energy Solutions, Llc. Synthetic logging for reservoir stimulation
US20180238148A1 (en) * 2015-11-11 2018-08-23 Halliburton Energy Services, Inc Method For Computing Lithofacies Probability Using Lithology Proximity Models
US10942293B2 (en) * 2017-07-21 2021-03-09 Halliburton Energy Services, Inc. Rock physics based method of integrated subsurface reservoir characterization for use in optimized stimulation design of horizontal wells
US11639646B2 (en) * 2019-02-13 2023-05-02 Landmark Graphics Corporation Planning a well configuration using geomechanical parameters
CN110109180B (zh) * 2019-04-22 2020-10-27 中国石油天然气集团有限公司 一种方位声波固井质量测井的幅度对数显示方法及系统
US11428078B2 (en) * 2019-07-11 2022-08-30 Halliburton Energy Services, Inc. Systems and methods for forecasting well productivity

Also Published As

Publication number Publication date
CA3154625A1 (en) 2021-04-01
WO2021062422A1 (en) 2021-04-01
BR112022005053A2 (pt) 2022-08-09
GB202204572D0 (en) 2022-05-11
BR112022005053A8 (pt) 2022-09-13
US20210089897A1 (en) 2021-03-25
NO20220399A1 (en) 2022-04-01
GB2602760A (en) 2022-07-13
GB2602760B (en) 2024-02-28

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