GB2600296A - AI/ML and blockchained based automated reservoir management platform - Google Patents

AI/ML and blockchained based automated reservoir management platform Download PDF

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Publication number
GB2600296A
GB2600296A GB2200679.5A GB202200679A GB2600296A GB 2600296 A GB2600296 A GB 2600296A GB 202200679 A GB202200679 A GB 202200679A GB 2600296 A GB2600296 A GB 2600296A
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Prior art keywords
well site
variables
operation control
well
transacted
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GB2600296B (en
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Prasad Rangarajan Keshava
Vikram R Pandya Raja
Madasu Srinath
Dande Shashi
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Landmark Graphics Corp
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Landmark Graphics Corp
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK DRILLING; MINING
    • E21BEARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B44/00Automatic 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Forestry; Mining
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/32Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
    • H04L9/3236Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials using cryptographic hash functions
    • H04L9/3239Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials using cryptographic hash functions involving non-keyed hash functions, e.g. modification detection codes [MDCs], MD5, SHA or RIPEMD
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/32Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
    • H04L9/3297Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials involving time stamps, e.g. generation of time stamps
    • EFIXED CONSTRUCTIONS
    • E21EARTH OR ROCK DRILLING; MINING
    • E21BEARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B2200/00Special features related to earth drilling for obtaining oil, gas or water
    • E21B2200/22Fuzzy logic, artificial intelligence, neural networks or the like
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/40Seismology; Seismic or acoustic prospecting or detecting specially adapted for well-logging
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/004Artificial life, i.e. computing arrangements simulating life
    • G06N3/006Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/12Computing arrangements based on biological models using genetic models
    • G06N3/126Evolutionary algorithms, e.g. genetic algorithms or genetic programming
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computing arrangements based on specific mathematical models
    • G06N7/01Probabilistic graphical models, e.g. probabilistic networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q2220/00Business processing using cryptography
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/50Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols using hash chains, e.g. blockchains or hash trees

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  • Engineering & Computer Science (AREA)
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  • Economics (AREA)
  • General Physics & Mathematics (AREA)
  • Entrepreneurship & Innovation (AREA)
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  • Mining & Mineral Resources (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Software Systems (AREA)
  • Geology (AREA)
  • Computing Systems (AREA)
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  • General Health & Medical Sciences (AREA)
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Abstract

A system for managing well site operations comprising a well site operations module, a chain of blocks of a distributed network, and a sensor bank and control module. The operations module generates earth model variables using a physics model, well log variables or seismic variables, or both, and a trained AI/ML algorithmic model. The chain of blocks comprises a plurality of subsequent blocks. Each subsequent block comprises a well site entry and a hash value of a previous well site entry. A well site entry comprises transacted operation control variables. The well site operations module generates production operation control variables or development operation control variables from earth model variables. The well site entry can also include transacted earth model variables and sensor variables. The sensor bank and control module provides well log variables and the operations module couples control variables to the control module to control well site equipment.

Claims (20)

What is claimed is:
1. A system for managing well site operations, the system comprising: a well site operations module communicable coupled to a distributed network, the well site operations module generates earth model variables using: a physics model; at least one of selected from a group comprising well log data variables and seismic data variables; and at least one selected from a group comprising a trained artificial intelligence algorithmic model and a trained machine learning algorithmic model; and a chain of blocks of the distributed network comprising a genesis block and a plurality of subsequent blocks, each subsequent block comprising a well site entry and a cryptographic hash value of a previous well site entry, wherein the well site entry comprises at least one transacted operation control variable.
2. The system of claim 1, wherein the well site operations module further performs multi - objective Bayesian optimization on the generated earth model variables.
3. The system of claim 1, further comprising a plurality of Robot Operating System (ROS) nodes of the distributed network, wherein each ROS node performs multi-objective Bayesian optimization on the generated earth model variables.
4. The system of claim 1, wherein the well site operations module generates at least one operation control variable selected from a group comprising: well site production operation control variables; and at least one well site development operation control variables .
5. The system of claim 1, wherein the well site entry comprises at least one selected from a group comprising a transacted earth model variable and a sensor variable.
6. The system of claim 1, further comprising a sensor bank communicable coupled to well site equipment for providing the well log data variables and a controller module communicable coupled the well site equipment and to at least one selected from a group comprising the well site operations module and the plurality of storage nodes, wherein the well site entry comprises the well log data variables.
7. The system of claim 6, wherein the well site operations module communicable couples the at least one transacted operation control variable to controller module to control operations of well site equipment.
8. The system of claim 1, wherein cryptographic hash value of the previous block is generated using a public key infrastructure and comprises at least one selected from a group comprising: a public key of an entity performing a transaction and a digital signature that certifies the entity.
9. An apparatus for managing well site operations, the apparatus comprising: a chain of blocks of the distributed network comprising a genesis block and a plurality of subsequent blocks, each subsequent block comprising a well site entry and a cryptographic hash value of a previous well site entry, wherein the well site entry comprises at least one transacted operation control variable; and a well site automation module communicable coupled to a well site operations module and a sensor bank and controller module, the well site automation module creates blocks and transactions and communicable couples variables between well site entries, the well site operations module, and the sensor bank and controller module.
10. The apparatus of claim 9, wherein the transacted earth model variables are optimization variables optimized using multi-objective Bayesian optimization
11. The apparatus of claim 9, wherein the transacted earth model variables are optimization variables optimized using multi-objective Bayesian optimization, wherein optimization is performed using a plurality of Robot Operating System (ROS) nodes of the distributed network .
12. The apparatus of claim 9, wherein the well site entry further comprises transacted well log data variables provided by a sensor bank communicable coupled to well site equipment.
13. The apparatus of claim 9, wherein the well site operations module generates at least one control variable selected from a group comprising: well site production operation control variables; and at least one well site development operation control variables.
14. The apparatus of claim 13, wherein the well site automation module communicably couples transacted operation control variables to the sensor bank and controller module
15. The apparatus of claim 9, wherein cryptographic hash value of the previous block is generated using a public key infrastructure and comprises at least one selected from a group comprising: a public key of an entity performing a transaction and a digital signature that certifies the entity .
16. A method for managing well site operations, the method comprising: generating earth model variables using: a physics model; at least one of selected from a group comprising well log data variables and seismic data variables; and at least one selected from a group comprising a trained artificial intelligence algorithmic model and a trained machine learning algorithmic model; generating operation control variables based on the generated earth model variables; and creating a chain of blocks of the distributed network comprising a genesis block and a plurality of subsequent blocks, each subsequent block comprising a well site entry and a cryptographic hash value of a previous well site entry, wherein the well site entry comprises at least one transacted operation control variable.
17. The method of claim 16, further comprising performing multi-objective Bayesian optimization on the generated earth model variables.
18. The method of claim 16, further comprising performing multi-objective Bayesian optimization on the generated earth model variables using a plurality of Robot Operating System (ROS) nodes of the distributed network, wherein each ROS node.
19. The method of claim 16, generating at least one operation control variable selected from a group comprising: well site production operation control variables; and at least one well site development operation control variables.
20. The method of claim 19, further comprising: creating at least one transacted earth model variable in the well site entry; generating well log data variables; and creating well log data variable entries in the well site entry.
GB2200679.5A 2019-08-23 2020-08-21 AI/ML and blockchained based automated reservoir management platform Active GB2600296B (en)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US201962891223P 2019-08-23 2019-08-23
PCT/US2019/064655 WO2021040764A1 (en) 2019-08-23 2019-12-05 Ai/ml based drilling and production platform
US202016651859A 2020-03-27 2020-03-27
PCT/US2020/047498 WO2021041251A1 (en) 2019-08-23 2020-08-21 Ai/ml and blockchained based automated reservoir management platform

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GB2600296B GB2600296B (en) 2024-06-12

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Publication number Priority date Publication date Assignee Title
CN114352336A (en) * 2021-12-17 2022-04-15 北京天玛智控科技股份有限公司 Fully-mechanized coal mining face intelligent control system and method
CN116209030B (en) * 2023-05-06 2023-08-18 四川中普盈通科技有限公司 Mobile platform anti-weak network communication gateway access method and system

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090262603A1 (en) * 2008-04-10 2009-10-22 Schlumberger Technology Corporation Method for characterizing a geological formation traversed by a borehole
US20160312552A1 (en) * 2015-04-27 2016-10-27 Baker Hughes Incorporated Integrated modeling and monitoring of formation and well performance
KR101706245B1 (en) * 2015-09-14 2017-02-14 동아대학교 산학협력단 Method for controlling production rate using artificial neural network in digital oil field
WO2018145201A1 (en) * 2017-02-08 2018-08-16 Upstream Data Inc. Blockchain mine at oil or gas facility
US20180230782A1 (en) * 2015-08-07 2018-08-16 Schlumberger Technology Corporation Method of performing integrated fracture and reservoir operations for multiple wellbores at a wellsite

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6968909B2 (en) * 2002-03-06 2005-11-29 Schlumberger Technology Corporation Realtime control of a drilling system using the output from combination of an earth model and a drilling process model
US7814989B2 (en) * 2007-05-21 2010-10-19 Schlumberger Technology Corporation System and method for performing a drilling operation in an oilfield
RU2600497C2 (en) * 2012-06-11 2016-10-20 Лэндмарк Графикс Корпорейшн Methods and related system of constructing models and predicting operational results of drilling operation
US9262713B2 (en) * 2012-09-05 2016-02-16 Carbo Ceramics Inc. Wellbore completion and hydraulic fracturing optimization methods and associated systems
US9022140B2 (en) * 2012-10-31 2015-05-05 Resource Energy Solutions Inc. Methods and systems for improved drilling operations using real-time and historical drilling data
US9645575B2 (en) * 2013-11-27 2017-05-09 Adept Ai Systems Inc. Method and apparatus for artificially intelligent model-based control of dynamic processes using probabilistic agents
US10941642B2 (en) * 2015-07-17 2021-03-09 Halliburton Energy Services, Inc. Structure for fluid flowback control decision making and optimization
WO2017188858A1 (en) * 2016-04-28 2017-11-02 Schlumberger Canada Limited Reservoir performance system
US10223482B2 (en) * 2016-06-29 2019-03-05 International Business Machines Corporation Machine learning assisted reservoir simulation
CN209085657U (en) * 2017-08-02 2019-07-09 强力物联网投资组合2016有限公司 For data gathering system related or industrial environment with chemical production technology

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090262603A1 (en) * 2008-04-10 2009-10-22 Schlumberger Technology Corporation Method for characterizing a geological formation traversed by a borehole
US20160312552A1 (en) * 2015-04-27 2016-10-27 Baker Hughes Incorporated Integrated modeling and monitoring of formation and well performance
US20180230782A1 (en) * 2015-08-07 2018-08-16 Schlumberger Technology Corporation Method of performing integrated fracture and reservoir operations for multiple wellbores at a wellsite
KR101706245B1 (en) * 2015-09-14 2017-02-14 동아대학교 산학협력단 Method for controlling production rate using artificial neural network in digital oil field
WO2018145201A1 (en) * 2017-02-08 2018-08-16 Upstream Data Inc. Blockchain mine at oil or gas facility

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NO20220097A1 (en) 2022-01-21
WO2021041252A1 (en) 2021-03-04
GB2600293A (en) 2022-04-27
NO20220092A1 (en) 2022-01-21
GB2600296B (en) 2024-06-12
GB2600294A (en) 2022-04-27
WO2021041251A1 (en) 2021-03-04
GB2600293B (en) 2023-03-22
WO2021041254A1 (en) 2021-03-04

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