MX359360B - Pronóstico de producción de recursos. - Google Patents

Pronóstico de producción de recursos.

Info

Publication number
MX359360B
MX359360B MX2014009200A MX2014009200A MX359360B MX 359360 B MX359360 B MX 359360B MX 2014009200 A MX2014009200 A MX 2014009200A MX 2014009200 A MX2014009200 A MX 2014009200A MX 359360 B MX359360 B MX 359360B
Authority
MX
Mexico
Prior art keywords
interval
production
production value
resource production
production forecasting
Prior art date
Application number
MX2014009200A
Other languages
English (en)
Other versions
MX2014009200A (es
Inventor
Gupta Siddhartha
Fuehrer Franz
Original Assignee
Logined Bv
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 Logined Bv filed Critical Logined Bv
Publication of MX2014009200A publication Critical patent/MX2014009200A/es
Publication of MX359360B publication Critical patent/MX359360B/es

Links

Classifications

    • 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
    • G01V1/44—Seismology; Seismic or acoustic prospecting or detecting specially adapted for well-logging using generators and receivers in the same well
    • G01V1/48—Processing data
    • G01V1/50—Analysing data
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH OR ROCK DRILLING; MINING
    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B2200/00—Special features related to earth drilling for obtaining oil, gas or water
    • E21B2200/22—Fuzzy logic, artificial intelligence, neural networks or the like

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Geology (AREA)
  • Theoretical Computer Science (AREA)
  • Mining & Mineral Resources (AREA)
  • General Physics & Mathematics (AREA)
  • Environmental & Geological Engineering (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Computing Systems (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Artificial Intelligence (AREA)
  • General Engineering & Computer Science (AREA)
  • Software Systems (AREA)
  • Mathematical Physics (AREA)
  • Geochemistry & Mineralogy (AREA)
  • Fluid Mechanics (AREA)
  • Acoustics & Sound (AREA)
  • Remote Sensing (AREA)
  • Geophysics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Image Analysis (AREA)

Abstract

Un método puede proporcionar una red neuronal entrenada; proporcionar un conjunto de valores de producción donde el conjunto incluye, por ejemplo, un valor de producción acumulada de un intervalo, un valor de producción promedio del intervalo, un valor de producción inicial del intervalo y un valor de producción final del intervalo; y predecir al menos un valor de producción de un intervalo posterior en base al menos en parte en la red neuronal entrenada y el conjunto proporcionado de valores producción. También se describen diversos aparatos, sistemas, métodos, etc., diferentes.
MX2014009200A 2013-07-31 2014-07-30 Pronóstico de producción de recursos. MX359360B (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201361860832P 2013-07-31 2013-07-31
US14/332,014 US10012748B2 (en) 2013-07-31 2014-07-15 Resource production forecasting

Publications (2)

Publication Number Publication Date
MX2014009200A MX2014009200A (es) 2015-05-27
MX359360B true MX359360B (es) 2018-09-26

Family

ID=52428600

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2014009200A MX359360B (es) 2013-07-31 2014-07-30 Pronóstico de producción de recursos.

Country Status (2)

Country Link
US (1) US10012748B2 (es)
MX (1) MX359360B (es)

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US10650045B2 (en) * 2016-02-05 2020-05-12 Sas Institute Inc. Staged training of neural networks for improved time series prediction performance
US10795935B2 (en) 2016-02-05 2020-10-06 Sas Institute Inc. Automated generation of job flow definitions
US10650046B2 (en) 2016-02-05 2020-05-12 Sas Institute Inc. Many task computing with distributed file system
CN107436452A (zh) * 2016-05-27 2017-12-05 中国石油化工股份有限公司 基于概率神经网络算法的烃源岩预测方法及装置
USD898059S1 (en) * 2017-02-06 2020-10-06 Sas Institute Inc. Display screen or portion thereof with graphical user interface
US11087221B2 (en) * 2017-02-20 2021-08-10 Saudi Arabian Oil Company Well performance classification using artificial intelligence and pattern recognition
US10859725B2 (en) * 2017-05-22 2020-12-08 Sensia Llc Resource production forecasting
USD898060S1 (en) * 2017-06-05 2020-10-06 Sas Institute Inc. Display screen or portion thereof with graphical user interface
CN107678059B (zh) * 2017-09-05 2019-06-28 中国石油大学(北京) 一种储层含气识别的方法、装置及系统
KR101819957B1 (ko) 2017-09-15 2018-01-19 한국지질자원연구원 셰일가스 채취장치 및 그 채취방법
US10866962B2 (en) 2017-09-28 2020-12-15 DatalnfoCom USA, Inc. Database management system for merging data into a database
CN108509694B (zh) * 2018-03-13 2022-02-18 西安石油大学 一种基于bp神经网络的支撑剂铺置形态预测方法
CN108446506B (zh) * 2018-03-26 2021-06-08 东北大学 一种基于区间反馈神经网络的不确定系统建模方法
WO2020101128A1 (ko) * 2018-11-15 2020-05-22 한국지질자원연구원 딥러닝을 이용한 셰일가스 생산량 예측방법
US12393895B2 (en) 2018-12-27 2025-08-19 Halliburton Energy Services, Inc. Hydraulic fracturing operation planning using data-driven multi-variate statistical machine learning modeling
US20220027538A1 (en) * 2018-12-27 2022-01-27 Halliburton Energy Services, Inc. Hydraulic fracturing job plan real-time revisions utilizing detected response feature data
US12442284B2 (en) 2018-12-27 2025-10-14 Halliburton Energy Services, Inc. Hydraulic fracturing job plan real-time revisions utilizing collected time-series data
CA3134912C (en) * 2019-03-25 2025-06-10 Conocophillips Company FRACTURE IMPACT DETECTION BASED ON MACHINE LEARNING USING A LOW-FREQUENCY SAR SIGNAL
CN110646843B (zh) * 2019-09-19 2020-12-18 中国石油大学(北京) 陆源有机质分布的确定方法、装置和网络设备
CN110671092A (zh) * 2019-09-26 2020-01-10 北京博达瑞恒科技有限公司 油气产能检测方法及系统
KR102170765B1 (ko) * 2019-09-26 2020-10-27 한국지질자원연구원 딥러닝을 이용한 셰일가스 생산량 예측모델 생성 방법
US11668854B2 (en) 2019-10-15 2023-06-06 Chevron U.S.A. Inc. Forecasting hydrocarbon production
CN111734406B (zh) * 2020-06-30 2023-06-27 中国石油天然气股份有限公司 前缘单砂层平面能量差异表征方法
CN112228054B (zh) * 2020-11-06 2022-11-08 中国石油大学(北京) 基于卷积神经网络的页岩气产量确定方法、装置和设备
US12049820B2 (en) 2021-05-24 2024-07-30 Saudi Arabian Oil Company Estimated ultimate recovery forecasting in unconventional reservoirs based on flow capacity
US12553329B2 (en) 2022-03-18 2026-02-17 Saudi Arabian Oil Company Automated decline curve and production analysis using automated production segmentation, empirical modeling, and artificial intelligence
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US8078444B2 (en) 2006-12-07 2011-12-13 Schlumberger Technology Corporation Method for performing oilfield production operations
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Also Published As

Publication number Publication date
US10012748B2 (en) 2018-07-03
US20150039544A1 (en) 2015-02-05
MX2014009200A (es) 2015-05-27

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