WO2003105104A2 - Acces a des donnees et commande a distance de celles-ci - Google Patents

Acces a des donnees et commande a distance de celles-ci Download PDF

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Publication number
WO2003105104A2
WO2003105104A2 PCT/GB2003/002512 GB0302512W WO03105104A2 WO 2003105104 A2 WO2003105104 A2 WO 2003105104A2 GB 0302512 W GB0302512 W GB 0302512W WO 03105104 A2 WO03105104 A2 WO 03105104A2
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WO
WIPO (PCT)
Prior art keywords
data
facility
remote
cleaning means
location
Prior art date
Application number
PCT/GB2003/002512
Other languages
English (en)
Other versions
WO2003105104A3 (fr
Inventor
Kevian Alexander Stewart
Original Assignee
Petrodata Limited
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 Petrodata Limited filed Critical Petrodata Limited
Priority to GB0428098A priority Critical patent/GB2408352A/en
Priority to AU2003240086A priority patent/AU2003240086A1/en
Publication of WO2003105104A2 publication Critical patent/WO2003105104A2/fr
Publication of WO2003105104A3 publication Critical patent/WO2003105104A3/fr

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Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0423—Input/output
    • G05B19/0425—Safety, monitoring
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04Q—SELECTING
    • H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/10—Plc systems
    • G05B2219/14—Plc safety
    • G05B2219/14084—Remote diagnostic
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/24—Pc safety
    • G05B2219/24048—Remote test, monitoring, diagnostic

Definitions

  • the present invention relates to remote control and accessing of data collected at remote locations and, in particular, though not exclusively, to an apparatus for remotely controlling, optimizing and developing and accessing data from oil and gas wells and renewable energy production facilities.
  • the present invention further relates to removing anomalies and errors from data in the control loop.
  • the current way to do this is to send personnel out to the remotely located area.
  • the worker travels to the site which can be a perilous journey into a hostile environment.
  • the worker brings a portable computing device with him/her to download the data from the monitoring system.
  • the downloading process of plugging the portable computing device into the monitoring system can take anything between 20 minutes to 2 hours; depending on the amounts of data stored.
  • the worker takes the long journey back to base. Once at base, the downloaded data is again downloaded, but now onto the workers Personal Computer (PC) , from where the data can be reviewed and analysed.
  • PC Personal Computer
  • WO 01/23705 discloses apparatus and methods for monitoring and controlling hydrocarbon production wells and/or injection wells from a remote location.
  • the apparatus for monitoring and controlling one or more hydrocarbon production wells or injection wells from a remote location comprises one or more surface control and data acquisition systems; one or more sensors disposed in communication with the one or more control and data acquisition systems; one or more downhole flow control devices disposed in communication with the one or more control and data acquisition systems; and one or more remote controllers disposed in communication with the one or more control and data acquisition systems.
  • the remote controller comprises a computer having an Internet access disposed in communication with the one or more control and data acquisition systems through a communication device comprising an Internet web site server.
  • the method for monitoring and controlling a downhole hydrocarbon production well or an injection well comprises: transmitting data collected by a downhole sensor module to a control and data acquisition system; evaluating downhole operating conditions and optimising downhole operating parameters utilising an optimisation software program disposed in communication with the control and data acquisition system; and transmitting signals between the control and data acquisition system and a remote controller utilising a satellite communication system, the remote controller comprising a computer and an Internet browser control access adapted to display operating conditions and parameters and to accept instructions to change operating parameters.
  • the systems of WO 01/23705 are primarily concerned with controlling the well.
  • the data collected from the sensors is directly transmitted to the remote controller, which is typically a computer usually sited within the company's on-shore offices. From here users can view and analyse the data using the Internet for example, and send operating signals back to the sensors to adjust control of the well.
  • WO 01/92686 discloses apparatus and methods for webserver-based well instrumentation, logging, monitoring and control.
  • a well tool includes a ebserver connected to a sensor and an actuator of the tool.
  • a person utilising a network to access a web page supported by the ebserver at a remote location may operate the actuator to control operation of the well tool.
  • each tool has its own web server and each web server has its own web page. There is no facility for cleaning and aggregation of data into a form suitable for review for facilitating optimization of the well production.
  • One web server cannot interface to multiple legacy sensors and control systems, having multiple analogue inputs, discrete digital inputs or networked digital inputs (such as MODBUS®) .
  • SPC Statistical process control
  • Typical responses to out of control data points in conventional SPC either make assumptions about the normal distribution of the data, or the capability of the measurement apparatus.
  • the measured data are made "dirty" by the ambient conditions of the measurement systems and the physical constraints of the downhole environment mean that the measurement systems such as downhole gauges are often less than capable.
  • Typical responses to conventional SPC also include shutting down equipment, often automatically, when data points go out of control.
  • shutting down equipment can be very expensive, for example with costs of up to £2 million per hour in the event of shutting down a production well.
  • US Patent No US5,282,261 discloses a computer neural network process measurement and control system and method that uses real time output data from a neural network to replace a sensor or laboratory input to a control.
  • a historical database is disclosed for providing a history of sensor and laboratory measurements to facilitate the training of the neural network.
  • European Patent Application No EP0881357 discloses the development of an oil or gas reservoir controlled using a neural network and genetic algorithm programs to define a neural network typology and the optimal inputs for that topology.
  • the method disclosed utilises neural network technology to use multiple input parameters for determining correlations with a desired output and uses genetic algorithms to define the neural network topology and corresponding optimal inputs.
  • apparatus for remotely accessing data gathered at a location, the apparatus comprising: (a) signal conditioning means for receiving a plurality of input signals from a plurality of sensors and providing a plurality of conditioned outputs; (b) storage means for storing the conditioned outputs as data; and (b) remote access means for allowing a user remote from the apparatus to access the data.
  • sensors incorporate gauges and any other instrument measuring equipment, which produces one or more signals representative of a measurable parameter.
  • Such parameters may be pressure, temperature, flow-rate, cable performance, motor or turbine speed/operating frequency, motor or turbine voltage, actuator status, position of the sensor or components within a tool, degree of corrosion, seismic input, electric, sonic or nuclear logging data or the like and any other downhole or surface production parameters which sensors can measure.
  • the signal conditioning means includes one or more analogue input channels.
  • the signal conditioning means includes one or more serial data channels for receiving digital input signals.
  • the signal conditioning means provides the plurality of conditioned outputs in a uniform format.
  • the signal conditioning means includes one or more configurable alarms. These alarms can be pre-set to notify of input signals outside a set range.
  • the signal conditioning means may filter, encrypt and/or compress the data.
  • the integrity of the data is maintained as is its security on transmission.
  • the apparatus further comprises one or more output channels for controlling one or more actuators.
  • the remote access means may filter, encrypt and/or compress the data.
  • the storage means is a non-volatile memory as is known in the art.
  • the remote access means accepts a request from the user. More preferably, the remote access means includes a modem through which the request can be made.
  • the remote access means is adapted to provide a direct dial in service.
  • the remote access means is adapted to function as a Internet Service Provider (ISP) and a user can log- in to the apparatus directly.
  • ISP Internet Service Provider
  • the apparatus includes a web server.
  • the apparatus includes a web site.
  • the web site comprises a plurality of web pages.
  • the web pages are stored in a non-volatile memory.
  • the apparatus acts as a web site server and the user can access the apparatus directly.
  • the data in the apparatus can therefore be accessed in real-time.
  • the apparatus receives input signals from downhole sensors in a well bore. More preferably, the apparatus is positioned on the well head.
  • the well bore may be on- shore or off-shore.
  • a method of remotely accessing data from one or more sensors arranged at a location comprising the steps; ' (a) storing the data locally; (b) making a request to a web server at the location for access; and (c) downloading the stored data over a connection from a remote location.
  • connection from a remote location is a direct dial connection.
  • connection from a remote location is a via an internet connection.
  • a system for controlling the development of an oil, gas or renewable energy facility comprising: a data capture means for receiving facility data; a data analysis means for analysing said facility data, the data analysis means being responsive to a data cleaning means for cleaning said facility data; and a control means for controlling further development of the facility.
  • a device for controlling oil, gas or renewable energy production comprising: a data capture means for receiving facility data; a data analysis means for analysing said facility data, the data analysis means being responsive to a data cleaning means for cleaning said facility data; and a control means for controlling further development of the facility.
  • a method for controlling oil, gas or renewable energy production comprising the steps of: receiving facility data; cleaning said facility data; analysing said facility data; and controlling further development of the facility.
  • said data cleaning means is adapted to remove anomalous and/or erroneous data from said facility data.
  • said data cleaning means is adapted to modify anomalous and/or erroneous facility data.
  • system further comprises a data transmission means for transmitting said facility data from said data capture means to said data cleaning means.
  • said system further comprises a data delivery means for delivery of data from said data cleaning means to said data analysis means.
  • said data cleaning means is adapted to remove data from said facility data.
  • said data cleaning means is adapted to modify said facility data. Most preferably said data cleaning means is adapted to mark up said facility data.
  • said data cleaning means is adapted to smooth said data.
  • Preferably said facility data is stored as XML (Extensible Mark-up Language) .
  • said data cleaning means is adapted to mark-up said XML document.
  • marking-up of said XML document comprises the step of adding an attribute to a data object in said XML document.
  • said data cleaning means further comprises a database of rules.
  • said data cleaning means further comprises a database of known cases.
  • said data cleaning means is responsive to feedback from said data analysis means.
  • said data cleaning means is adapted to remove random noise from said facility data.
  • said data cleaning means is adapted to remove unexplained spikes or trends of said facility data.
  • said data cleaning means further comprises models of reservoir or facility processes.
  • said data analysis means is adapted to display said facility data marked-up responsive to the changes made by the data cleaning means.
  • Figure 1 is a schematic diagram of an apparatus for accessing data gathered at a remote location according to an embodiment of the present invention
  • Figure 2 is a schematic diagram of an arrangement of web pages as would be accessed in an embodiment of the present invention.
  • Figure 3 is a schematic representation of a preferred embodiment of the present invention located on a well
  • Figure 4 is a schematic representation of a network of wells connected using a plurality of apparatuses according to the present invention.
  • FIG. 5 is a schematic diagram of an overall system architecture in accordance with one embodiment the present invention.
  • Apparatus 10 comprises a housing (not shown) which incorporates a circuit board 12, supporting signal conditioning units 14, 16 and a remote access unit 18.
  • analogue input signal conditioning channels 14 Each channel takes an analogue input signal from a sensor e.g. a pressure sensor or thermocouple, and modifies the signal to produce a signal of a standard format. Each input channel is sampled by an A/D converter ten times per second allowing for high speed data acquisition. The data is stabilised and smoothed by a rolling average filter and is further stored in a non-volatile memory module 22. This memory module may be an AM45DB642, size 8Mbyte. Each channel provides an independent analogue level.
  • the channels may also be configured to output control signals to actuators of sub-surface equipment such as drives and electrical submersible pumps, and to surface equipment, such as separators, burners, pumps, chokes, blowout preventers, valves, etc.
  • actuators of sub-surface equipment such as drives and electrical submersible pumps
  • surface equipment such as separators, burners, pumps, chokes, blowout preventers, valves, etc.
  • Each signal conditioning unit 14 further comprises a digitized analogue output channel.
  • Each digitized analogue output channel takes the presented signal from the analogue input channel now in a standard format and presents it to the non-volatile memory module 22, or alternatively, to a local process indicator or to an external data monitoring system.
  • Each digitized analogue output channel is generated by a D/A converter at high speed to ensure stable readings .
  • Signal conditioning unit 16 comprises serial data channels.
  • Serial data channels have inputs, which receive digital data from transducers that have a digital interface. These transducers, for example, sand monitors and valve positioning devices may be networked so that several devices can be attached to a single serial data channel input.
  • the serial data can be handled up to a speed of 19.2Kbps.
  • Two of the serial channels are configured as standard MODBUSTM serial point to point or as MODBUS multi-drop connections. These can be used to extend the usefulness of the system in monitoring existing MODBUS networks. In each of the MODBUS implementation is such that it can operate as a slave or MODBUS master.
  • the control of data to and from the non-volatile memory 22 is controlled from a micro-controller 20 eg Rabbit Semiconductor Rabbit2000.
  • the remote access unit 18 includes serial communication driver chips eg Maxim Semiconductor MAX3110 and MAX3140 protocol converters.
  • a power supply unit 24 is also located on the circuit board 12.
  • the equipment is designed to operate from a wide range of supply frequencies and levels. Preferably, these are between 85 to 264 volts AC and of frequencies between 48 to 64 Hertz for AC voltage supplies. Alternatively, power can be supplied at a voltage range between 110 to 300 volts for DC voltage supplies.
  • This main inlet power supply is supplied to an auto ranging power supply that has an internal EMC filter to limit the EMC emissions. The output of the supply is fully isolated from the main input.
  • Power sources for the remote access unit may include renewable energy sources such as solar panels, wind turbines, water turbines or tidal generators.
  • the remote access unit 18 comprises a modem 26 coupled through a standard RS232 port for communication to the outside.
  • This interface allows the apparatus 10 to be accessed via GSM, GPRS, satellite, ethernet, ISDN or PSTN (standard telephone) using direct dial-in and acting as an Internet Service Provider (ISP) for access from the remote site.
  • ISP Internet Service Provider
  • This interface also allows the apparatus 10 to be accessed by, e.g., 10 BaseT (for existing Intranets / LANs) .
  • the circuit board 12 further includes a non-volatile web storage 28 which is an AT45DB642, size 8 Mbyte.
  • the storage 28 is set aside for web content and preferably this may contain HTML formatting, pictures in .jpg format or embedded Java script. The ability to use embedded Java script allows feedback into a web page.
  • a web server software module stored in the program memory 21 running on the microcontroller 20 can serve the contents of the web store 28 as a web site.
  • a router module 27 functions to route TCP/IP packets to other apparatuses (nodes) . It is responsible for moving packet of data from node to node and for verifying the correct delivery of data from node to node. Data can be lost in the intermediate network, and the TCP functionality adds support to detect errors or lost data and to trigger retransmission until the data is correctly and completely received.
  • FIG. 2 illustrates web pages, generally indicated by Reference Numeral 30, which are typically stored and accessible on the apparatus 10.
  • Two sets of web pages are available. These are Client web pages 32 and protected pages 34, which are not accessible to the Client or user of the apparatus.
  • a main web page 36 is displayed on initial connection and provides navigation to all other pages stored in the apparatus 10.
  • An optional splash page (not shown) can be shown to provide contact details and information regarding the current edition of the software in use.
  • An introductory page 38 contains details of the location where the data is being collected. For instance, if the data was being collected at an oil or gas location this may include the site location, well number, site notes and any further comments required. Preferably, each sensor or actuator connected to the apparatus 10 will be coded by a serial number and referenced on the introductory page 38.
  • a set up page 40 allows a user to provide details of the channel configurations for all the analogue and digital inputs and outputs of the signal conditioning units 14, 16. These provide details of the parameters that are being measured or controlled and the engineering units that are being applied. It will be apparent that these values could be set up by a previous user and that a new user may merely by-pass the page.
  • Data page 42 shows the data as it is being stored. This data is available in real time for each channel and is accessed from the memory 22. The page may also display and gather input to a data analysis module or facility control module.
  • a historical page 44 is provided so that data previously recorded can be graphically represented. On page options allow the user to select a time span and the measured parameters which are to be displayed.
  • a logger page 46 allows the user to control the signal conditioning units 14, 16.
  • the logger page 46 allows a user to input a time to be taken between the data samples. Via page 46 the user can download portions of the data in time.
  • a prompt may be provided on the logger page 46 so that the user is prompted to regularly download data from the apparatus 10 to clear the non- volatile memory 22 and limit the size of the data set being recorded in the apparatus 10.
  • An optional alarm page 48 can be used to allow a user to define alarm and trip levels on which they can set parameters as triggers.
  • the alarms are set in the form of high, low, high high and low low.
  • An alarm occurs when a parameter matches a data value in the signal condition units 14, 16. When this occurs, feedback is provided in the form of a visual or autical indicator via page 48 when the data goes above or below a pre-set parameter point. If the alarm point is set higher than the expected operating point of the equipment then this is a high alarm. Similarly, if the alarm point is set lower than the expected operating point it is a low alarm. In complex systems there are additional alarm levels that cause process shut down if an alarm is not quickly rectified, these are the high high and low low alarms.
  • These alarms are set to levels such that continuous at or beyond these levels will cause damage to equipment and may cause harm to the operator.
  • High high and low low alarms can instigate trip conditions.
  • a dead band setting can be selected to allow the trip not to repeat if it is within the region of the dead band.
  • Trips and alarms can be configured to send out a short SMS message appropriate to the trip or alarm to a nominated telephone. Additionally, e-mail notification of an alarm or trigger may be sent to an individual user via the internet. Further the alarm signals may be sent via telephone lines to a fax machine of the user.
  • the protected pages 34 are not normally accessible to the user.
  • the protected pages 34 can be protected by use of a password available on the introductory or main web page 36.
  • the protected pages 34 comprise a diagnostics page 50, a configuration page 52 and a system administration page 54.
  • a diagnostics page 50 allows dynamic reconfiguration of the apparatus 10, subsequent to its installation at a remote location. This page 50 also allows access to calibration data. Further, the page 50 allows access to the data within the conditioning units 14, 16 and primarily those coming from the A/D converters.
  • Configuration page 52 allows the installation of settings specific to the user. For example, the preferred medium to be used for transfer of data to the user can be selected. Further, the telephone or fax number to be dialled on the alarm signals can be set and also the apparatus 10 can be set via this page 52 to send out periodic e-mails or prompt signals to the user.
  • the system administration page 54 allows access to the data via recording all functions performed on the data. Thus, by a time stamping record the alterations and the configuration changes can be stored along with the amount of Client or user access. Thus this page allows basic statistical analysis to be performed on the data and on the Client's use.
  • all data is stored in non- volatile memory 22, 28 and is stored as a time stamp consecutive record. All activated alarm and trip conditions are also stored along with the data.
  • the data is locally encrypted within the apparatus 10 to ensure that the data is secure. Further, the data may be compressed with, for instance, a V42 bis data compression which is available on a 9600 bps GSM (global system for mobile communications) connection, and on a 14400 GPRS (General Packet Radio Service) connection where the modem 26 has this capability. Via the administration page 54, the compression algorithms for data compression can be remotely updated.
  • Apparatus 10 is located on a well head 56 of an oil well located in a desert 60.
  • a plurality of sensors 62 are connected via a line 64 through a well bore 66 and the well head 56 to the apparatus 10.
  • each signal from each sensor 62 is connected to appropriate analogue or digital inputs on the signal conditioning means 14, 16 of apparatus 10.
  • any sensor 62 can be connected to the apparatus 10 provided that it produces either an analogue or digital signal.
  • sensor and equipment status inputs and control outputs may be connected to a variety of sub- surface 63 and surface equipment 56.
  • a renewable energy facility such as a solar power facility, wind power facility, water turbine power facility or tidal power facility may equally benefit from the application of the present invention.
  • the signal conditioning channels 14, 16 can be set up via the set up page 40 and / or the system administration page 54.
  • the configuration page 52 is set up for the appropriate user 66.
  • data from each sensor 62 can be continuously recorded into the non-volatile memory 22.
  • a user 69 wishing to connect to the apparatus 10 will dial up the modem 26 of the apparatus 10.
  • the apparatus 10 will pick up the incoming call when it detects a ringing tone.
  • the apparatus 10 will then form a hand-shaking mode to communicate with the remote modem 68 of the user to determine the data rate that it should use for the communication.
  • the initial handshake will conform to B.25 ITU.
  • the apparatus 10 goes into online mode where data is transferred between the apparatus 10 and the remote modem 68 on requests from the user. It will be appreciated that the apparatus 10 could instigate a call if configured to do so where the configuration page 52 connection can be made if an alarm or trigger event occurred. This is pre-set on the apparatus 10.
  • the apparatus could connect via a first ISP modem to the internet and through a second ISP modem to the remote modem.
  • the apparatus 10 serves up web pages 32, which are locally stored in the web storage non-volatile memory 28. As described herein before, the web pages 32 provide access to detailed information regarding the operation and status of the oil facet 66. The user can thus adjust alarm signals and view data recorded in real time from the sensors 62.
  • the user can select and control sub-surface 63 or surface 56 equipment using the web page interface. The user can thus perform well optimization online in response to real-time data from the well.
  • the data is automatically sent from the apparatus after a predetermined interval to a server.
  • An alarm immediately forces a call to the server.
  • a call can also be forced using special SMS commands as would be required for GSM/GPRS based installations.
  • the apparatus including a timer that counts down a fixed period. After that period expires the apparatus calls a server in a desired location e.g. onshore in the UK. The apparatus does this by calling a local (in country) ISP and logs on to an international ISP account. The apparatus then requests a connection to the server in the UK over the internet using a PPP protocol (point to point protocol) . This then sets up the communications channel to allow data from the apparatus to then be sent to the server using the TCP/IP protocol.
  • the server in the UK has a realtime database which has details of all the parameters and each apparatus in use. When the server receives this data it updates a webpage application. This allows anyone with the appropriate passwords to access to the data within webpage application. Access to the webpage application is done completely through a web browser such as Internet Explorer TM.
  • a first apparatus according to the preferred embodiment 10 is daisy-chained and further networked to a series of other apparatuses 11, each at a different well head 57.
  • the provision of the router module 27 and the remote access unit 18 in the apparatus enable the chaining and networking of several apparatuses and other network addressable systems, all accessible to the user with one dial-in connection to the first apparatus 10.
  • the data capture equipment 70 logs facility data.
  • the facility data may be well logging data, production logging data or renewable energy facility data.
  • the data sources e.g., pressure sensors or thermocouples or other downhole gauges
  • Digital inputs may also be logged.
  • the data is collected and optionally transmitted 72 from the oil installation to a data centre which may be at the location of the facility or at a remote site, e.g., onshore if the facility is offshore.
  • a data centre which may be at the location of the facility or at a remote site, e.g., onshore if the facility is offshore.
  • the transmission of the data may be omitted and the function of the data centre may be provided by the apparatus 10, for example by a program stored in the program memory 21 and running on the microcontroller 20 using the non volatile memory 22.
  • data cleaning 74 is typically performed by skilled analysts using a combination of simple computer based tools, e.g., spreadsheets and statistical packages, and oil production knowledge and experience.
  • This cleaning process results in data in which anomalous and erroneous data is either removed and/or modified.
  • This process is very time consuming and results in a significant delay between receipt of logged data and on delivery 76 of cleaned data for analysis and control of production.
  • the data cleaning is performed by a data cleaning module.
  • the function of the data cleaning module may be may be provided by the apparatus 10, for example by a program stored in the program memory 21 and running on the microcontroller 20 using the non volatile memory 22.
  • the data is cleaned using knowledge based techniques and machine learning techniques and furthermore the data is marked up with the results of the cleaning.
  • the data cleaning module is a set of software components that receive uncleaned facility data as input and output cleaned facility data.
  • the cleaned facility data is delivered 76 to a data analysis module 78, which also comprises a set of software components.
  • the function of the data analysis module may be may be provided by the apparatus 10, for example by a program running on the microcontroller 20 using the non volatile memory 22.
  • the data cleaning module and data analysis module are both accessed and operated using a Data Analysis Workbench (DAW) which is a computer program with a graphical user interface, preferably via web pages such as data page 42 of Figure 2.
  • DAW Data Analysis Workbench
  • the DAW framework is extensible and flexible.
  • the DAW includes software components mathematical models of facility and reservoir processes. These models are incorporated into the simulation component.
  • the purpose of the simulation component is to predict the facility/reservoir behaviour and to assist in the data cleaning process.
  • a filtering component the purpose of which is to remove the noise from the data using standard filtering techniques.
  • the trend analysis is implemented by another DAW component that uses statistical tools identified in.
  • the interpretation stage of the data cleaning process is carried out by a number of interacting components.
  • One of these components is an intelligent information processing system capable of identifying and diagnosing critical conditions using both rule-based and evolutionary approaches.
  • a data repository is provided where previously logged data is stored together with its analysis.
  • the end-user interface uses standard components to construct the user interface.
  • generic manipulation and display functionality are realised through "calls" to standard application packages, e.g. spreadsheets.
  • the DAW is designed so that it can be used in two modes of operation: semi-automated (driven by an analyst) or completely automated.
  • semi-automated operation it is possible to learn from the decisions made by the analyst. Therefore, provision is made for a learning/feedback process both within the data cleaning module and between the analysis and cleaning modules.
  • For easier mode of operation it is possible to review the results of the data cleaning process, via the graphical user interface.
  • optimisation techniques are used that intelligent search and evaluate possible explanations. These include evolutionary algorithms (e.g., genetic algorithms) and pattern recognition techniques.
  • evolutionary algorithms e.g., genetic algorithms
  • pattern recognition techniques e.g., pattern recognition techniques.
  • approaches that interpret data on the basis of expert knowledge e.g., rule based systems
  • infer from known cases e.g., cased based reasoning
  • Data cleaning may require both the removal of random noise, as well as the diagnosis of unexplained spikes or trend in the facility data.
  • the data analysis module provides data to the control module 80 that has a user interface via a web page such as data page 42 of Figure 2 and either automatically or semi-automatically control outputs are provided to the production assets 82, preferably through the I/O modules 14.
  • the facility data from the production assets are captured by the data capture module 70.
  • the entire process is performed in real time.
  • the apparatus 10 is located adjacent to a facility for immediate control of a facility via the analysed data. This is shown in Figure 3. Data from downhole gauges 62 is transmitted to the remote access apparatus 10 via a control line 64 through a well bore 66.
  • a principal advantage of the present invention is that a user can remotely control, optimize and access data from a site wherever they have access to a telephone connection.
  • an advantage of the present invention is that by storing the data at a remote site and providing the web server at the remote location, the data can be accessed and relayed to the user at another site without fear of loss of the data through loss of connection or corruption of the data during transmission.
  • the web server at a facility location could have a permanent connection to a web server at a remote main office and that users could access data on the remote main office based web server while it is downloaded in real time from the apparatus 10.
  • This two stage download process allows for data manipulation at the main office location without the need to provide processing power and data manipulation software at the facility location.

Abstract

Dispositif, système et procédé permettant d'accéder à distance à des données collectées sur un site. Les données sont collectées sur ce site par des détecteurs, stockées localement et peuvent être consultées à distance. Des moyens de traitement de signaux sont prévus pour produire des signaux de sortie traités, et l'accès peut être fourni par l'intermédiaire d'un serveur web se situant sur le site. L'invention concerne aussi un système pour commander le développement d'une installation d'exploitation de pétrole, de gaz ou d'énergie renouvelable, les données relatives à l'installation étant en outre nettoyées et analysées.
PCT/GB2003/002512 2002-06-11 2003-06-11 Acces a des donnees et commande a distance de celles-ci WO2003105104A2 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
GB0428098A GB2408352A (en) 2002-06-11 2003-06-11 Remote control and data access
AU2003240086A AU2003240086A1 (en) 2002-06-11 2003-06-11 Remote control and data access

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
GB0213316.3 2002-06-11
GB0213316A GB0213316D0 (en) 2002-06-11 2002-06-11 Remote control and data access

Publications (2)

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WO2003105104A2 true WO2003105104A2 (fr) 2003-12-18
WO2003105104A3 WO2003105104A3 (fr) 2004-07-01

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AU (1) AU2003240086A1 (fr)
GB (2) GB0213316D0 (fr)
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR2908530A1 (fr) * 2006-11-14 2008-05-16 Michel Chambron Procede et systeme pour delivrer des donnees de qualite de fonctionnement d'une installation.
CN103529756A (zh) * 2012-07-03 2014-01-22 成都默一科技有限公司 油田电泵井节能监控系统

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1998053581A1 (fr) * 1997-05-19 1998-11-26 Coactive Networks, Inc. Systeme serveur et procede permettant de connecter des reseaux de commande et des dispositifs a entree/sortie directes par l'intermediaire du world wide web
WO2000049471A1 (fr) * 1999-02-16 2000-08-24 Brandt Powell Hott Systeme de commande de donnees largement distribues sur internet
WO2001001366A2 (fr) * 1999-06-25 2001-01-04 Telemonitor, Inc. Procede et systeme de surveillance intelligent a distance

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO1998053581A1 (fr) * 1997-05-19 1998-11-26 Coactive Networks, Inc. Systeme serveur et procede permettant de connecter des reseaux de commande et des dispositifs a entree/sortie directes par l'intermediaire du world wide web
WO2000049471A1 (fr) * 1999-02-16 2000-08-24 Brandt Powell Hott Systeme de commande de donnees largement distribues sur internet
WO2001001366A2 (fr) * 1999-06-25 2001-01-04 Telemonitor, Inc. Procede et systeme de surveillance intelligent a distance

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR2908530A1 (fr) * 2006-11-14 2008-05-16 Michel Chambron Procede et systeme pour delivrer des donnees de qualite de fonctionnement d'une installation.
CN103529756A (zh) * 2012-07-03 2014-01-22 成都默一科技有限公司 油田电泵井节能监控系统

Also Published As

Publication number Publication date
GB2408352A (en) 2005-05-25
GB0213316D0 (en) 2002-07-24
WO2003105104A3 (fr) 2004-07-01
GB0428098D0 (en) 2005-01-26
AU2003240086A1 (en) 2003-12-22
AU2003240086A8 (en) 2003-12-22

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