WO2019101958A1 - Method for providing decision support for facility management by continuously determining asset integrity - Google Patents

Method for providing decision support for facility management by continuously determining asset integrity Download PDF

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Publication number
WO2019101958A1
WO2019101958A1 PCT/EP2018/082432 EP2018082432W WO2019101958A1 WO 2019101958 A1 WO2019101958 A1 WO 2019101958A1 EP 2018082432 W EP2018082432 W EP 2018082432W WO 2019101958 A1 WO2019101958 A1 WO 2019101958A1
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WO
WIPO (PCT)
Prior art keywords
plant
parameters
integrity
providing
data
Prior art date
Application number
PCT/EP2018/082432
Other languages
French (fr)
Inventor
Per Halvard Billington
Wim VAN WASSENHOVE
Original Assignee
Billington Process Technology As
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 Billington Process Technology As filed Critical Billington Process Technology As
Publication of WO2019101958A1 publication Critical patent/WO2019101958A1/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/067—Enterprise or organisation modelling
    • E—FIXED CONSTRUCTIONS
    • E21—EARTH DRILLING; MINING
    • E21B—EARTH DRILLING, e.g. DEEP 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
    • E21B41/0092—Methods relating to program engineering, design or optimisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
    • G06Q10/06375—Prediction of business process outcome or impact based on a proposed change
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Electricity, gas or water supply

Abstract

A method for providing automated feedback of plant integrity and key operational data to analytic systems for controlling processes and performing plant prediction management, by providing a solver algorithm to automatically determine the parameters that characterize the individual feed fluids; exchanging data of said parameters; providing a prediction tool for establishing a simulation model of the plant using said parameters; establishing plant integrity thresholds to analytic solutions, and controlling plant processes based on results of said prediction tool.

Description

Method for providing decision support for facility management by continuously determining asset integrity
The present invention concerns a method for providing decision support for the oil & gas industry, and more specifically to a method for providing facility management for controlling processes.
The present invention is derived by combining different components for providing plant integrity and provide key operational limits to plant management and analytic systems.
There are different solutions for process simulation, characterizing plant processes within the oil & gas industry. Applicants (Billington Process Technology - BPT) own Multi Well Feeder (MWF™) is a software providing a method to facilitate the definition of commonly used well characteristics. The main parameters are Gas to Oil ratio, water cut and oil flow. The software also allows for the mixing of the wells into combined streams according to the manifold arrangement used. BPT- MWF™ comes as an extension for industry leading process simulation software.
The app is easy to use and quick to implement in any process simulation.
BPT-MWF™ allows multistage separation for the definition of the gas-oil ratio, providing consistency between the output from reservoir models and the process simulation.
WO 2012/015529 Al describes a system and method for predicting behaviour of a physical system, e.g. well performance. The method comprises identifying a set of input variables that have an impact on an output metric as well as a subset of the set of input variables, where the subset has a relatively larger impact on the output metric. A physical property model is built to predict output metric as a function of the subset of the set of input variables. The physical property model is then used for probabilistically ranking postulated changes in the subset of the set of input variables. Well performance is then predicted based on the rank of the postulated changes.
WO 2016/089839 Al describes a method for building an integrated network asset model for an oil and gas production system. The model is established by user inputs selecting a network model from a plurality of network models.
Prior art solutions are based on complex models that are resource demanding to establish. Prediction is further performed based on historical data and not on real- time data as in the present invention.
The present invention, called The Digital Asset Integrity Advisor (DAIA), is a digital solution that implements the Common Fluid Connector Protocol (CFCP), both developed by the applicant (BPT). The CFCP socket connects fully to compositional tools using first principle (law) of thermodynamics. The approach will allow oil and gas users to develop or improve inhouse solutions as alternatives to‘packaged proprietary solutions.’ BPT provides the CFCP on top of Prediktor’s APIS Foundation for real-time data management. APIS provides a set of field proven APIs and‘best-in-class’.
OPC-UA gateway performance. The solution allows operators to‘make smarter use of plant as well as predicted data, either in the cloud or on-premises.’
Ultimately, the solution will deliver a combination of proven components, cloud- based data storage and a set of API’s for connectivity.
This invention consists of several interconnected actions:
Capturing plant data in real time from a data historian. This can be made by using e.g. Open Platform Communications Historical Data Access (OPC HDA) or OPC UA (Unified Architecture).
Using the captured data in a solver that combines a first principle simulator and proprietary BPT modules to determine parameters that characterise feeds to an oil & gas asset such that they accurately represent the behaviour of these feeds in the oil & gas processing facility.
Efficient transmission and storage of the obtained parameters in a real-time database. By only using and storing the parameters, data storage will be minimized, and data transmission load will be reduced. Recreation of a compositional vector is possible at a receiving end.
Retrieving said parameters and running simulations of the oil & gas facility for a selected time frame.
Using simulation results combined with BPT methods to determine asset integrity status and to produce a continually updated asset integrity dashboard and report.
Calculating the changing feeds to a process model in this way both increases the robustness and the fidelity of the predictions, whilst reducing the convergence time by more than 90%.
CFCP allows different process simulators to produce feeds that behave in a near identical way despite differences in thermodynamic models or even component slates.
An integration of the BPT software with the real-time management data platform APIS Foundation provide a practical open digital solution designed to connect to any digital ecosystem, on-premise or in the cloud using“best in class” OPC UA gateway performance. This packaged solution, or DAIA (Digital Asset Integrity Advisor) provides the ability to update rigorous process type Digital Twins with actual compositions and rates, thus enabling high fidelity and automated feedback to plant operators and engineers. Degree of plant utilisation, performance deterioration and plant design constraints, such as theoretical flow induced vibration limits become available. We consider the DAIA data to be a better source of information for artificial
intelligence and machine learning systems than the raw plant data alone.
Feeding analytic systems with actual plant constraints is vital to avoid systems bringing a plant beyond their integrity limits. Adding production plans to the sources, allows a“look ahead” capability warning the operators ahead of time to plan and focus on production limitations which may limit plant throughput over the next scheduled production period. DAIA is an open solution allowing experience and preferred options to be preserved.
The invention is defined by a method for providing automated feedback of plant integrity and key operational data to analytic systems for controlling processes and performing plant prediction management. This is characterized in several steps.
A first step is providing a solver algorithm to automatically determine the parameters that characterize the individual feed fluids.
A second step is exchanging data of said parameters. Data exchange of said parameters minimizes data storage and data transmitting capacity since recreation of a compositional vector is possible at the receiving end.
A third step is providing a prediction tool for establishing a simulation model of the plant using said parameters. Prediction tool convergence speed is reduced by a factor 10 compared with current state of the art industrial solutions.
A next step is establishing plant integrity status and thresholds to analytic solutions . In one embodiment, this can be provided to analytic solutions both on-premise and in the cloud, continuously and close to real time.
The invention is further defined by a computer program that when executed on a computer provides automated feedback of plant integrity and key operational data to analytic systems for controlling processes and performing plant prediction management, when the computer program executes the method according to the steps describes above.
By providing a method for feedback of plant integrity and key operational data according to the steps descried above, a simple, accurate and efficient way of doing this is provided.

Claims

1. A method for providing automated feedback of plant integrity and key
operational data to analytic systems for controlling processes and performing plant prediction management, c h a r a c t e r i z e d i n :
- providing a solver algorithm, to automatically determine the parameters that characterize the individual feed fluids, based on captured real-time plant data;
exchanging data of said parameters;
providing a prediction tool for establishing a simulation model of the plant using said parameters;
establishing plant integrity status and thresholds to analytic solutions; controlling plant processes based on results of said prediction tool.
2. The method according to claim 1, where the plant integrity thresholds are provided on premise or at a remote location.
3. The method according to claim 2, where the plant integrity thresholds are provided continuously in real time.
4. The method according to claim 1, where the solver algorithm further
combines a first principle simulator using first principle thermodynamics and proprietary modules to determine parameters that characterise feeds to an oil and gas asset.
5. A computer program that when executed on a computer provides automated feedback of plant integrity and key operational data to analytic systems for controlling processes and performing plant prediction management, when the computer program executes the method according to claims 1 to 4.
PCT/EP2018/082432 2017-11-27 2018-11-23 Method for providing decision support for facility management by continuously determining asset integrity WO2019101958A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
NO20171895A NO343277B1 (en) 2017-11-27 2017-11-27 Method for providing decision support for facility management by continuously determining asset integrity
NO20171895 2017-11-27

Publications (1)

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WO2019101958A1 true WO2019101958A1 (en) 2019-05-31

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012015529A1 (en) 2010-07-30 2012-02-02 Exxonmobil Upstream Research Company Systems and methods for predicting well performance
WO2016089839A1 (en) 2014-12-01 2016-06-09 Schlumberger Canada Limited Integrated network asset modeling

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2017188858A1 (en) * 2016-04-28 2017-11-02 Schlumberger Canada Limited Reservoir performance system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012015529A1 (en) 2010-07-30 2012-02-02 Exxonmobil Upstream Research Company Systems and methods for predicting well performance
WO2016089839A1 (en) 2014-12-01 2016-06-09 Schlumberger Canada Limited Integrated network asset modeling

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NO20171895A1 (en) 2019-01-14
NO343277B1 (en) 2019-01-14

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