MX2016003675A - Prediccion de riesgo en tiempo real durante las operaciones de perforacion. - Google Patents

Prediccion de riesgo en tiempo real durante las operaciones de perforacion.

Info

Publication number
MX2016003675A
MX2016003675A MX2016003675A MX2016003675A MX2016003675A MX 2016003675 A MX2016003675 A MX 2016003675A MX 2016003675 A MX2016003675 A MX 2016003675A MX 2016003675 A MX2016003675 A MX 2016003675A MX 2016003675 A MX2016003675 A MX 2016003675A
Authority
MX
Mexico
Prior art keywords
real
risk prediction
during drilling
drilling operations
time risk
Prior art date
Application number
MX2016003675A
Other languages
English (en)
Inventor
Dursun Serkan
Tuna Tayfun
Duman Kaan
Original Assignee
Landmark Graphics Corp
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 Landmark Graphics Corp filed Critical Landmark Graphics Corp
Publication of MX2016003675A publication Critical patent/MX2016003675A/es

Links

Classifications

    • 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
    • E21B44/00—Automatic control systems specially adapted for drilling operations, i.e. self-operating systems which function to carry out or modify a drilling operation without intervention of a human operator, e.g. computer-controlled drilling systems; Systems specially adapted for monitoring a plurality of drilling variables or conditions
    • 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
    • E21B41/00—Equipment or details not covered by groups E21B15/00 - E21B40/00
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/04—Inference or reasoning models
    • G06N5/048—Fuzzy inferencing
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16Z—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
    • G16Z99/00—Subject matter not provided for in other main groups of this subclass
    • 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
    • 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

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • Mining & Mineral Resources (AREA)
  • Geology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Computing Systems (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Geochemistry & Mineralogy (AREA)
  • Environmental & Geological Engineering (AREA)
  • Fluid Mechanics (AREA)
  • General Life Sciences & Earth Sciences (AREA)
  • Medical Informatics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Automation & Control Theory (AREA)
  • Computational Linguistics (AREA)
  • Fuzzy Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • Earth Drilling (AREA)

Abstract

Sistemas y métodos para la predicción de riesgo en tiempo real durante las operaciones de perforación usando datos en tiempo real de un pozo no terminado, un modelo calificado de capas gruesas y un modelo calificado de capas finas para cada capa respectiva del modelo calificado de capas gruesas. Además de utilizar los sistemas y métodos para la predicción de riesgo en tiempo real, los sistemas y métodos se pueden utilizar también para monitorear otros pozos no terminados y para realizar un análisis estadístico de la duración de cada nivel de riesgo para el pozo monitoreado.
MX2016003675A 2013-10-25 2013-10-25 Prediccion de riesgo en tiempo real durante las operaciones de perforacion. MX2016003675A (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/US2013/066850 WO2015060864A1 (en) 2013-10-25 2013-10-25 Real-time risk prediction during drilling operations

Publications (1)

Publication Number Publication Date
MX2016003675A true MX2016003675A (es) 2016-09-16

Family

ID=52993309

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2016003675A MX2016003675A (es) 2013-10-25 2013-10-25 Prediccion de riesgo en tiempo real durante las operaciones de perforacion.

Country Status (12)

Country Link
US (1) US9582764B2 (es)
CN (1) CN105612538A (es)
AR (1) AR098175A1 (es)
AU (1) AU2013403352B9 (es)
BR (1) BR112016006470A2 (es)
CA (1) CA2925268C (es)
DE (1) DE112013007525T5 (es)
GB (1) GB2537489B (es)
MX (1) MX2016003675A (es)
RU (1) RU2603980C1 (es)
SG (1) SG11201602214QA (es)
WO (1) WO2015060864A1 (es)

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US20170306726A1 (en) * 2014-09-02 2017-10-26 King Abdullah University Of Science And Technology Stuck pipe prediction
CN107995983B (zh) * 2015-03-06 2022-05-06 哈佛蒸汽锅炉检验和保险公司 用于钻井和完井操作的风险评估
US11216491B2 (en) * 2016-03-31 2022-01-04 Splunk Inc. Field extraction rules from clustered data samples
WO2017206182A1 (en) 2016-06-03 2017-12-07 Schlumberger Technology Corporation Detecting events in well reports
CN106499380A (zh) * 2016-12-19 2017-03-15 四川宏华电气有限责任公司 一种预防卡钻的方法及系统
US11514527B2 (en) 2017-07-27 2022-11-29 The Hartford Steam Boiler Inspection And Insurance Company Computer systems and computer-implemented methods utilizing sensor-driven dynamically adjustable feedback loops to manage equipment based risk on an asset specific level of energy data usage
AU2018317919A1 (en) * 2017-08-18 2020-01-30 Landmark Graphics Corporation Rate of penetration optimization for wellbores using machine learning
US11011257B2 (en) * 2018-11-21 2021-05-18 Enlitic, Inc. Multi-label heat map display system
US11959380B2 (en) 2019-03-08 2024-04-16 Halliburton Energy Services, Inc Method to detect real-time drilling events
CN111677493B (zh) * 2019-03-11 2023-06-30 中国石油化工股份有限公司 一种钻井数据处理方法
GB2600581B (en) * 2019-08-23 2024-09-18 Landmark Graphics Corp Automated offset well analysis
US11739626B2 (en) 2019-09-30 2023-08-29 Saudi Arabian Oil Company Systems and methods to characterize well drilling activities
CN110782706B (zh) * 2019-11-06 2022-05-06 腾讯科技（深圳）有限公司 智能车辆驾驶风险的预警方法和装置
US11609561B2 (en) 2019-11-15 2023-03-21 Halliburton Energy Services, Inc. Value balancing for oil or gas drilling and recovery equipment using machine learning models
CN111520123B (zh) * 2020-03-27 2021-03-02 中国石油化工股份有限公司石油工程技术研究院 一种机械钻速预测方法、装置及设备
CN113496302B (zh) * 2020-04-02 2024-05-14 中国石油化工股份有限公司 一种对钻井风险进行智能识别预警的方法与系统
US11131184B1 (en) * 2020-04-29 2021-09-28 Saudi Arabian Oil Company Method and system for determining a drilling hazard condition using well logs
RU2735794C1 (ru) * 2020-06-23 2020-11-09 Федеральное государственное автономное образовательное учреждение высшего образования "Южно-Уральский государственный университет (национальный исследовательский университет)" ФГАОУ ВО "ЮУрГУ (НИУ)" Способ прогнозирования прихватов бурильных труб
CN112257745B (zh) * 2020-09-11 2023-09-12 煤炭科学技术研究院有限公司 基于隐马尔可夫的煤矿井下系统健康度预测方法及装置
GB2615696B (en) * 2020-11-05 2024-09-11 Baker Hughes Oilfield Operations Llc Predictive models and multi-objective constraint optimization algorithm to optimize drilling parameters of a wellbore
CN112612935B (zh) * 2020-12-16 2022-03-29 浙大城市学院 一种基于自推理模型的完整测井数据获取方法
CN113255188B (zh) * 2021-06-03 2022-03-08 四川省公路规划勘察设计研究院有限公司 一种基于事故树的桥梁安全预警方法及系统
US11829919B2 (en) 2021-06-30 2023-11-28 Saudi Arabian Oil Company Methods for people-driven, near-real time auditable well intervention program
US12136484B2 (en) 2021-11-05 2024-11-05 Altis Labs, Inc. Method and apparatus utilizing image-based modeling in healthcare
CN114526052B (zh) * 2021-12-31 2023-09-19 中国石油天然气集团有限公司 一种钻完井工程风险预测方法及装置
CN119308658A (zh) * 2023-07-11 2025-01-14 中国石油天然气股份有限公司 一种基于小层研究的钻井事故复杂报警方法及相关设备

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Also Published As

Publication number Publication date
AU2013403352B2 (en) 2016-09-15
AU2013403352A1 (en) 2016-04-14
AR098175A1 (es) 2016-05-04
GB2537489B (en) 2020-05-06
CA2925268C (en) 2018-02-27
SG11201602214QA (en) 2016-05-30
BR112016006470A2 (pt) 2017-08-01
US9582764B2 (en) 2017-02-28
US20150356450A1 (en) 2015-12-10
CN105612538A (zh) 2016-05-25
GB201604897D0 (en) 2016-05-04
GB2537489A (en) 2016-10-19
RU2603980C1 (ru) 2016-12-10
AU2013403352B9 (en) 2017-02-02
CA2925268A1 (en) 2015-04-30
DE112013007525T5 (de) 2016-07-21
WO2015060864A1 (en) 2015-04-30

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