EP4639141A1 - Method and system for water cut sensing in an oil-water flow - Google Patents

Method and system for water cut sensing in an oil-water flow

Info

Publication number
EP4639141A1
EP4639141A1 EP23848166.7A EP23848166A EP4639141A1 EP 4639141 A1 EP4639141 A1 EP 4639141A1 EP 23848166 A EP23848166 A EP 23848166A EP 4639141 A1 EP4639141 A1 EP 4639141A1
Authority
EP
European Patent Office
Prior art keywords
absorbance spectrum
oil
slope
water
computing
Prior art date
Legal status (The legal status 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 status listed.)
Pending
Application number
EP23848166.7A
Other languages
German (de)
French (fr)
Inventor
Mhanna MHANNA
Muhammad Arsalan
Aamir Farooq
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Saudi Arabian Oil Co
King Abdullah University of Science and Technology KAUST
Original Assignee
Saudi Arabian Oil Co
King Abdullah University of Science and Technology KAUST
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
Priority claimed from US18/535,983 external-priority patent/US12618770B2/en
Application filed by Saudi Arabian Oil Co, King Abdullah University of Science and Technology KAUST filed Critical Saudi Arabian Oil Co
Publication of EP4639141A1 publication Critical patent/EP4639141A1/en
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/84—Systems specially adapted for particular applications
    • G01N21/85—Investigating moving fluids or granular solids
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G01N21/3577—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light for analysing liquids, e.g. polluted water
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/39—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using tunable lasers
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/26—Oils; Viscous liquids; Paints; Inks
    • G01N33/28—Oils, i.e. hydrocarbon liquids
    • G01N33/2835—Specific substances contained in the oils or fuels
    • G01N33/2847—Water in oils
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/39—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using tunable lasers
    • G01N2021/396—Type of laser source
    • G01N2021/399—Diode laser
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2201/00—Features of devices classified in G01N21/00
    • G01N2201/08—Optical fibres; light guides

Definitions

  • microwave resonance suffers poor sensitivity to WC, and microwave transmission is obfuscated in saline OW mixtures.
  • WC can be measured intrusively by several methods, but these cannot be utilized for inline WC sensing.
  • Multi-energy gamma rays which use radioactive sources can be used, but they are associated with handling and disposal safety concerns.
  • Planar microwave resonance has been implemented on a pipeline surface to provide in situ, non-intrusive WC sensing. However, calibration was needed to know what oils were present in the OW flow.
  • NIR Near-infrared
  • embodiments relate to a method for water cut sensing in an oil- water flow, the method comprising: obtaining a composite absorbance spectrum of the oil-water flow; obtaining a reference absorbance spectrum of a reference fluid; computing a slope for data points associated with the composite absorbance spectrum of the oil- water flow vs corresponding data points associated with the reference absorbance spectrum of the known fluid; and based on the slope, determining the water cut of the oil-water flow.
  • embodiments relate to a system for water cut sensing in an oil-water flow, the system comprising: a laser-based spectroscopy sensor; and a computer system that: obtains a composite absorbance spectrum of the oil-water flow from the laser-based spectroscopy sensor, obtains a reference absorbance spectrum of a reference fluid, computes a slope for data points associated with the composite absorbance spectrum of the oil-water flow vs corresponding data points associated with the reference absorbance spectrum of the known fluid, and based on the slope, determines the water content in the oil-water flow.
  • embodiments relate to a non-transitory machine- readable medium comprising a plurality of machine-readable instructions executed by one or more processors, the plurality of machine-readable instructions causing the one or more processors to perform operations comprising: obtaining a composite absorbance spectrum of the oil-water flow; obtaining a reference absorbance spectrum of a reference fluid; computing a slope for data points associated with the composite absorbance spectrum of the oil-water flow vs corresponding data points associated with the reference absorbance spectrum of the known fluid; and based on the slope, determining the water cut of the oil-water flow.
  • embodiments of the disclosure may include respective means adapted to carry out various steps and functions defined above in accordance with one or more aspects and any one of the embodiments of one or more aspect described herein.
  • FIG. 1 shows a well environment in accordance with one or more embodiments.
  • FIGs. 2A and 2B show systems for water cut sensing in an oil-water flow in accordance with one or more embodiments.
  • FIG. 3 shows a flowchart for a method in accordance with one or more embodiments.
  • FIG. 4 shows examples of slopes before and after outlier removal in accordance with one or more embodiments.
  • FIG. 5 shows performance examples in accordance with one or more embodiments.
  • FIG. 6 shows a computer system in accordance with one or more embodiments.
  • ordinal numbers e.g, first, second, third, etc.
  • an element z.e., any noun in the application.
  • the use of ordinal numbers is not to imply or create any particular ordering of the elements nor to limit any element to being only a single element unless expressly disclosed, such as using the terms "before”, “after”, “single”, and other such terminology. Rather, the use of ordinal numbers is to distinguish between the elements.
  • a first element is distinct from a second element, and the first element may encompass more than one element and succeed (or precede) the second element in an ordering of elements.
  • WC Water cut
  • embodiments of the disclosure include systems and methods for WC sensing in an oil-water flow.
  • the following discussion provides a description of scenarios that require or benefit from the availability of accurate WC measurements, followed by a description of the components of systems for WC sensing and operations performed by these systems.
  • FIG. 1 shows a schematic diagram in accordance with one or more embodiments.
  • FIG. 1 illustrates a well environment (100) that includes a hydrocarbon reservoir (“reservoir”) (102) located in a subsurface hydrocarbon- bearing formation (104) and a well system (106).
  • the hydrocarbon-bearing formation (104) may include a porous or fractured rock formation that resides underground, beneath the earth's surface (“surface”) (108).
  • the reservoir (102) may include a portion of the hydrocarbon-bearing formation (104).
  • the hydrocarbon-bearing formation (104) and the reservoir (102) may include different layers of rock having varying characteristics, such as varying degrees of permeability, porosity, and resistivity.
  • the well system (106) may facilitate the extraction of hydrocarbons (or “production”) from the reservoir (102).
  • the well system (106) may be used in a tertiary recovery method to displace the produced hydrocarbons and/or to maintain the pressure profile of the reservoir (102).
  • the well system (106) includes a wellbore (120), a well sub-surface system (122), a well surface system (124), and a data acquisition system (126).
  • the data acquisition system (126) may monitor and/or control various operations of the well system (106), such as well production operations, well completion operations, well maintenance operations, and reservoir monitoring, assessment and development operations.
  • the data acquisition system (126) includes a computer system that is the same as or similar to that of computer system (502) described below in FIG. 6 and the accompanying description.
  • the wellbore (120) may include a bored hole that extends from the surface (108) into a target zone of the hydrocarbon-bearing formation (104), such as the reservoir (102).
  • An upper end of the wellbore (120), terminating at or near the surface (108), may be referred to as the “up-hole” end of the wellbore (120), and a lower end of the wellbore, terminating in the hydrocarbon-bearing formation (104), may be referred to as the “downhole” end of the wellbore (120).
  • the wellbore (120) may facilitate the circulation of drilling fluids during drilling operations, the flow of hydrocarbon production (“production”) (121) (e.g., oil and gas) from the reservoir (102) to the surface (108) during production operations, the injection of substances (e.g., water) into the hydrocarbon-bearing formation (104) or the reservoir (102) during injection operations, or the communication of monitoring devices (e.g, logging tools) into the hydrocarbon-bearing formation (104) or the reservoir (102) during monitoring operations (e.g, during in situ logging operations).
  • production hydrocarbon production
  • substances e.g., water
  • monitoring devices e.g, logging tools
  • the data acquisition system (126) collects and records wellhead data (140) for the well system (106) and other data regarding downhole equipment and downhole sensors.
  • the wellhead data (140) may include, for example, a record of measurements of wellhead pressure (P) (e.g, including flowing wellhead pressure (FWHP)), wellhead temperature (T) (e.g, including flowing wellhead temperature), wellhead production rate (R) over some or all of the life of the well (106), and/or water cut (WC) data.
  • P wellhead pressure
  • T wellhead temperature
  • R wellhead production rate
  • W water cut
  • the measurements are recorded in real-time, and are available for review or use within seconds, minutes or hours of the condition being sensed (e.g, the measurements are available within 1 hour of the condition being sensed).
  • the wellhead data (140) may be referred to as “real-time” wellhead data (140).
  • Real-time wellhead data (140) may enable an operator of the well to assess a relatively current state of the well system (106), and make real-time decisions regarding development of the well system (106) and the reservoir (102), such as on-demand adjustments in regulation of production flow from the well or injection flow to the well.
  • the well surface system (124) includes a wellhead (130).
  • the wellhead (130) may include a rigid structure installed at the “uphole” end of the wellbore (120), at or near where the wellbore (120) terminates at the Earth's surface (108).
  • the wellhead (130) may include structures for supporting (or “hanging”) casing and production tubing extending into the wellbore (120).
  • Production (121) may flow through the wellhead (130), after exiting the wellbore (120) and the well sub-surface system (122), including, for example, the casing and the production tubing.
  • the well surface system (124) includes flow regulating devices that are operable to control the flow of substances into and out of the wellbore (120).
  • the well surface system (124) may include one or more chokes (132) that are operable to control the flow of production (121).
  • the well surface system (124) includes a surface sensing system (134).
  • the surface sensing system (134) may include sensor devices for sensing characteristics of substances, including production (121), passing through or otherwise located in the well surface system (124).
  • the characteristics may include, for example, pressure, temperature and flow rate of production (121) flowing through the wellhead (130), or other conduits of the well surface system (124), after exiting the wellbore (120).
  • well intervention operations may also be performed at a well site.
  • well intervention operations may include various operations carried out by one or more service entities for an oil or gas well during its productive life (e.g, fracking operations, CT, flow back, separator, pumping, wellhead and production tree maintenance, slickline, braded line, coiled tubing, snubbing, workover, subsea well intervention, etc.).
  • service entities for an oil or gas well during its productive life
  • well intervention activities may be similar to well completion operations, well delivery operations, and/or drilling operations in order to modify the state of a well or well geometry.
  • well intervention operations are used to provide well diagnostics, and/or manage the production of the well.
  • the well system (106) further includes a system for WC sensing (not shown).
  • WC measurements may be used for the purposes of production allocation, reservoir management, early water breakthrough detection, etc.
  • a system for WC sensing is subsequently discussed in reference to the remaining figures.
  • FIG. 1 shows various configurations of hardware components and/or software components, other configurations may be used without departing from the scope of the disclosure.
  • various components in FIG. 1 may be combined to create a single component.
  • the functionality performed by a single component may be performed by two or more components.
  • FIGs. 2A and 2B show systems (200, 250) for water cut sensing in an oilwater flow in accordance with one or more embodiments.
  • the systems (200, 250) implement laser-based absorption spectroscopy, operating in the nearinfrared (NIR) range for accurate water detection in the full dynamic rage (0 - 100% oil vs water) that may be used without requiring calibration.
  • NIR nearinfrared
  • the systems (200, 250) in accordance with embodiments of the disclosure uses NIR spectroscopy to measure the WC and rely on water having strong absorption lines in the infrared (IR) wavelength region.
  • Example recordings of absorbance are shown for the NIR spectroscopy performed for water, but also for octane, methanol, isopropanol, silicone oil and ethanol which may be considered oil representative species.
  • the range of 4500 - 7500 cm -1 ( ⁇ 1300 - 2200 nm) is used for measuring the full range of water concentration (0 - 100%) with a minimum interference from oil.
  • the high peak near 1900 nm (5210 - 5270 cm -1 ) may be analyzed for water concentrations below 10%, while the lower peak near 1400 nm (7140 - 7200 cm ) may be used to measure higher concentrations.
  • a quartz flow loop may be used to circulate an oil-water mixture.
  • the NIR spectroscopy is performed through the quartz flow loop.
  • the oil-water mixture may be obtained from a well environment as previously described.
  • the system (200) includes three lasers, whereas the system (250) includes six lasers. Each of the lasers may be able to scan a spectral range of 20 cm -1 .
  • three fiber-coupled quantum cascade lasers (QCLs) (e.g, Nanoplus QCLs) emitting near 1.4 pm with an output power of, for example, ⁇ 10 mW are combined using a fiber combiner and collimated towards the target OW mixture to expose the OW mixture to an incident signal.
  • Optical fibers may be utilized to carry the incident signal from the lasers to the water-coil flow in the pipe of the quartz flow loop and from the pipe to photodetectors.
  • the lasers may be scanned at a frequency of 50 Hz to scan a tuning range of 7140 - 7200 cm -1 .
  • a pump (e.g, a 20 W DC-powered pump) may be used to circulate the OW mixture through the quartz flow loop with a 1 mm sampling length.
  • the transmitted signal may be collected by a photodetector (e.g, a DC-coupled, TE-cooled photodetector with a bandwidth of 25 MHz, Thorlabs).
  • a photodetector e.g, a DC-coupled, TE-cooled photodetector with a bandwidth of 25 MHz, Thorlabs.
  • an 83 mm silica etalon is utilized to convert the scan time to wavenumbers.
  • the NIR spectroscopy data obtained from the detectors may be processed by a computer system as further discussed below. Further, the NIR spectroscopy data may be visualized, e.g, using an oscilloscope.
  • the sampling length is 1 mm. Other sampling lengths may be used.
  • the laser may be propagated through a 3-mm section to increase water absorbance, thereby reducing errors.
  • FIGs. 2A and 2B show particular configurations of systems, variations of these systems may be used, without departing from the disclosure.
  • various optical elements may be arranged differently, and different and/or additional optical elements may be used, without departing from the disclosure.
  • any number and any types of lasers may be used, the sampling length may be varied, etc.
  • FIG. 3 shows a method for water cut sensing in an oil-water flow, in accordance with one or more embodiments.
  • the method enables a determination of the water cut in an oil-water flow without the need for calibration or knowing the types of oils in the flow.
  • the algorithm reduces or minimizes the effect of interfering absorbance to isolate the absorbance of water, thereby enabling an accurate prediction of the water cut without prior calibration.
  • the calibration-free WC sensing is enabled by identifying and eliminating interference from non- water (e.g.,, oil) species in the oil-water flow as subsequently discussed. More specifically, a slope in data points obtained for absorbance is calculated for the composite absorbance spectrum of the oil-water flow vs. the corresponding data points obtained for an absorbance spectrum of a reference fluid (e.g. , water), and a fitting algorithm is applied to eliminate the effect of non- water (e.g, oil) species on the slope.
  • the slope itself may be indicative of water concentration.
  • the method may be implemented using instructions stored on a non- transitory medium that may be executed by a computer system as shown in FIG. 6.
  • Step 302 a composite absorbance spectrum of an oil-water flow is obtained.
  • the composite absorbance spectrum maybe obtained using systems as shown in FIGs. 2 A and 2B. Briefly summarized, a laser signal is propagated through the oil-water flow and collected via a photodetector. The Beer-Lambert law is used to quantify the composite absorbance (across the spectrum) from the laser intensity attenuation. The composite absorbance is a result of the absorbance of water and/or oil in the flow.
  • Step 304 data points are obtained for the first derivative of the composite absorbance spectrum of the oil-water flow.
  • the first derivative may be computed between consecutive wavelength intervals. Any method for computing a derivative may be used.
  • Step 306 a reference absorbance spectrum of a reference fluid is obtained.
  • the reference fluid may be water, and the reference absorbance spectrum may be obtained from a database.
  • Step 308 data points are obtained for the first derivative of the absorbance spectrum of water.
  • the first derivative may be computed between consecutive wavelength intervals. Any method for computing a derivative may be used.
  • Step 310 a slope is computed for the data points of the first derivative of the composite absorbance spectrum vs the corresponding data points of the first derivative of the reference absorbance spectrum.
  • the slope may be computed by performing a linear fit.
  • An example for the execution of Step 310 is provided in FIG. 4, left panel, showing the data points plotted in 2D space, and a linear fit line.
  • a threshold distance may be defined to eliminate outliers in the data points of the first derivative of the composite absorbance spectrum.
  • the distance may be any distance (e.g, an Euclidean distance) from the linear fit line.
  • the threshold distance may be determined by experimentation or simulation. Specifically, different threshold distances may be used for the execution of the method of FIG. 3, and the threshold distance providing the best (most accurate water cut prediction) results may be selected for use.
  • outliers in the 2D space are determined using the threshold distance. Data points that are beyond the threshold distance are eliminated from further fits or calculations.
  • the slope is re-calculated. An example of calculating the slope before and after outlier removal is discussed below in reference to FIG. 4. The left panel of FIG. 4 illustrates the calculation of the slope prior to outlier removal, and the right panel of FIG. 4 illustrates the calculation of the slope after outlier removal.
  • the water content in the oil-water content is determined based on the re-computed slope.
  • the water content in % is directly represented by the slope itself.
  • the slope may be multiplied with the percentage of water in the oil-water mix of the reference fluid. For example, for a reference fluid that contains 90% water, the outlier-adjusted slope may be multiplied by 0.9.
  • the described steps may be performed for different wavelengths/wavenumbers.
  • the absorbance of water includes a weaker peak near 7150 cm -1 and a stronger peak near 5250 cm -1 .
  • the former may be used to measure high water cuts, and the latter may be used to measure low water cuts.
  • An advantage of using different peaks for different water cuts is that it allows the absorbance to be kept within a certain range (e.g, 0.01 - 3.5) to achieve a better signal-to-noise ratio. Accordingly, the calculations that result in the slope and the outlier- adjusted slope may be based on different regions of the absorbance spectra, depending on the prevalent water cut.
  • Proper wavenumber intervals may, thus, be selected from the full absorbance spectra, based on this consideration.
  • an “if’ statement may be used to automate the above selection.
  • the region at the stronger peak may be used to calculate the water cut. If the obtained reading is below 10%, the reading is assumed to be accurate. However, if the reading is above 10%, the execution of the method may be repeated for the region at the weaker peak.
  • the steps of the described method may be repeatedly performed over time, e.g., in a loop. Accordingly, the system and method as described may continuously provide updated readings on the water cut in the oil-water flow.
  • FIG. 4 shows examples (400) of slopes before and after outlier removal, calculated using the method of FIG. 3.
  • the plot in the left panel of FIG. 4 shows a slope generated in presence of outliers.
  • the slope may have been obtained by execution of Step 310 of the method described in FIG. 3.
  • the plot in the right panel of FIG. 4 shows an outlier-adjusted slope after removal of the outlier.
  • the outlier-adjusted slope may have been obtained by execution of Step 312 of the method described in FIG. 3.
  • FIG. 5 shows performance examples (500).
  • the plot in the left panel of FIG. 5 illustrates measured absorbance spectra obtained for oil-water mixtures with a water cut ranging from 0% to 100% and a comparison to a simulated pure water spectrum.
  • the plot in the right panel of FIG. 5 visualizes the residual error in a comparison of measured water cut and actual water cut. As the plot shows, residuals remained in a range of +/-5%.
  • Embodiments of the disclosure have various beneficial characteristics. For example, embodiments of the disclosure provide an accurate sensing of the water cut in an oil-water flow, without requiring a calibration and without knowing the species present in the oil-water flow. Embodiments of the disclosure are robust against signal attenuation by laser scatting due to particles, salinity effects, and high temperature effects.
  • FIG. 6 is a block diagram of a computer system (602) used to provide computational functionalities associated with described algorithms, methods, functions, processes, flows, and procedures as described in the instant disclosure, according to an implementation.
  • the illustrated computer (602) is intended to encompass any computing device such as a high-performance computing (HPC) device, a server, desktop computer, laptop/notebook computer, wireless data port, smart phone, personal data assistant (PDA), tablet computing device, one or more processors within these devices, or any other suitable processing device, including both physical or virtual instances (or both) of the computing device.
  • HPC high-performance computing
  • PDA personal data assistant
  • the computer (602) may include a computer that includes an input device, such as a keypad, keyboard, touch screen, or other device that can accept user information, and an output device that conveys information associated with the operation of the computer (602), including digital data, visual, or audio information (or a combination of information), or a GUI.
  • an input device such as a keypad, keyboard, touch screen, or other device that can accept user information
  • an output device that conveys information associated with the operation of the computer (602), including digital data, visual, or audio information (or a combination of information), or a GUI.
  • the computer (602) can serve in a role as a client, network component, a server, a database or other persistency, or any other component (or a combination of roles) of a computer system for performing the subject matter described in the instant disclosure.
  • the illustrated computer (602) is communicab ly coupled with a network (630).
  • one or more components of the computer (602) may be configured to operate within environments, including cloud-computing-based, local, global, or other environment (or a combination of environments).
  • the computer (602) is an electronic computing device operable to receive, transmit, process, store, or manage data and information associated with the described subject matter.
  • the computer (602) may also include or be communicably coupled with an application server, e-mail server, web server, caching server, streaming data server, business intelligence (BI) server, or other server (or a combination of servers).
  • an application server e-mail server, web server, caching server, streaming data server, business intelligence (BI) server, or other server (or a combination of servers).
  • BI business intelligence
  • the computer (602) can receive requests over network (630) from a client application (for example, executing on another computer (602)) and responding to the received requests by processing the said requests in an appropriate software application.
  • requests may also be sent to the computer (602) from internal users (for example, from a command console or by other appropriate access method), external or third-parties, other automated applications, as well as any other appropriate entities, individuals, systems, or computers.
  • Each of the components of the computer (602) can communicate using a system bus (603).
  • any or all of the components of the computer (602), both hardware or software (or a combination of hardware and software) may interface with each other or the interface (604) (or a combination of both) over the system bus (603) using an application programming interface (API) (612) or a service layer (613) (or a combination of the API (612) and service layer (613).
  • API may include specifications for routines, data structures, and object classes.
  • (612) may be either computer-language independent or dependent and refer to a complete interface, a single function, or even a set of APIs.
  • the service layer (612) may be either computer-language independent or dependent and refer to a complete interface, a single function, or even a set of APIs.
  • the functionality of the computer (602) may be accessible for all service consumers using this service layer.
  • Software services, such as those provided by the service layer (613), provide reusable, defined business functionalities through a defined interface.
  • the interface may be software written in JAVA, C++, or other suitable language providing data in extensible markup language (XML) format or other suitable format.
  • XML extensible markup language
  • alternative implementations may illustrate the API (612) or the service layer (613) as stand-alone components in relation to other components of the computer (602) or other components (whether or not illustrated) that are communicably coupled to the computer (602).
  • the computer (602) includes an interface (604). Although illustrated as a single interface (604) in FIG. 6, two or more interfaces (604) may be used according to particular needs, desires, or particular implementations of the computer (602).
  • the interface (604) is used by the computer (602) for communicating with other systems in a distributed environment that are connected to the network (630).
  • the interface (604 includes logic encoded in software or hardware (or a combination of software and hardware) and operable to communicate with the network (630). More specifically, the interface (604) may include software supporting one or more communication protocols associated with communications such that the network (630) or interface's hardware is operable to communicate physical signals within and outside of the illustrated computer (602).
  • the computer (602) includes at least one computer processor (605). Although illustrated as a single computer processor (605) in FIG. 6, two or more processors may be used according to particular needs, desires, or particular implementations of the computer (602). Generally, the computer processor (605) executes instructions and manipulates data to perform the operations of the computer (602) and any algorithms, methods, functions, processes, flows, and procedures as described in the instant disclosure.
  • the computer (602) also includes a memory (606) that holds data for the computer (602) or other components (or a combination of both) that can be connected to the network (630).
  • memory (606) can be a database storing data consistent with this disclosure. Although illustrated as a single memory (606) in FIG. 6, two or more memories may be used according to particular needs, desires, or particular implementations of the computer (602) and the described functionality. While memory (606) is illustrated as an integral component of the computer (602), in alternative implementations, memory (606) can be external to the computer (602).
  • the application (607) is an algorithmic software engine providing functionality according to particular needs, desires, or particular implementations of the computer (602), particularly with respect to functionality described in this disclosure.
  • application (607) can serve as one or more components, modules, applications, etc. Further, although illustrated as a single application (607), the application (607) may be implemented as multiple applications (607) on the computer (602). In addition, although illustrated as integral to the computer (602), in alternative implementations, the application (607) can be external to the computer (602).
  • computers there may be any number of computers (602) associated with, or external to, a computer system containing computer (602), each computer (602) communicating over network (630).
  • clients each computer (602) communicating over network (630).
  • client each computer (602) communicating over network (630).
  • client each computer (602) communicating over network (630).
  • client the term “client,” “user,” and other appropriate terminology may be used interchangeably as appropriate without departing from the scope of this disclosure.
  • this disclosure contemplates that many users may use one computer (602), or that one user may use multiple computers (602).
  • the computer (602) is implemented as part of a cloud computing system.
  • a cloud computing system may include one or more remote servers along with various other cloud components, such as cloud storage units and edge servers.
  • a cloud computing system may perform one or more computing operations without direct active management by a user device or local computer system.
  • a cloud computing system may have different functions distributed over multiple locations from a central server, which may be performed using one or more Internet connections.
  • a cloud computing system may operate according to one or more service models, such as infrastructure as a service (laaS), platform as a service (PaaS), software as a service (SaaS), mobile "backend” as a service (MBaaS), serverless computing, artificial intelligence (Al) as a service (AlaaS), and/or function as a service (FaaS).
  • service models such as infrastructure as a service (laaS), platform as a service (PaaS), software as a service (SaaS), mobile “backend” as a service (MBaaS), serverless computing, artificial intelligence (Al) as a service (AlaaS), and/or function as a service (FaaS).

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Abstract

A method (300) for water cut sensing in an oil-water flow involves obtaining a composite absorbance spectrum of the oil-water flow, obtaining a reference absorbance spectrum of a reference fluid, computing a slope (400) for data points associated with the composite absorbance spectrum of the oil-water flow vs corresponding data points associated with the reference absorbance spectrum of the known fluid, and based on the slope (400), determining the water cut of the oil-water flow.

Description

METHOD AND SYSTEM FOR WATER CUT SENSING IN AN OILWATER FLOW
BACKGROUND
[0001] Effective oil production is indispensable to fulfill the increasing energy demands of the world. Enhanced recovery methods, along with the presence of perforated rocks near the oil reservoir, can be a cause of water becoming mixed into the oil. Water cut (WC) measurement is essential in the oil industry as it is key for production allocation, reservoir management, and early water breakthrough detection. WC varies with the age and geolocation of oil wells, which requires WC sensors to span near full dynamic range (0 - 100%), and thus cover wide industrial applications. A myriad of WC sensors exists in literature based on various technologies. Dielectric properties of oil-water (OW) mixtures have been exploited, especially at high frequencies (MHz), by measuring microwave resonance and transmission to detect WC. However, microwave resonance suffers poor sensitivity to WC, and microwave transmission is obfuscated in saline OW mixtures. WC can be measured intrusively by several methods, but these cannot be utilized for inline WC sensing. Multi-energy gamma rays which use radioactive sources can be used, but they are associated with handling and disposal safety concerns. Planar microwave resonance has been implemented on a pipeline surface to provide in situ, non-intrusive WC sensing. However, calibration was needed to know what oils were present in the OW flow. Near-infrared (NIR) spectroscopy has been employed based on adapting Beer-Lambert law for non-homogeneous immiscible mixtures, and although the resulting WC sensor was proven to be more accurate than other sensors, it needs frequent well-specific calibration which gets tedious with well-aging and changing geolocation. Accordingly, alternative WC sensors that operate in the full dynamic range (0 - 100%), and that do not require any calibration would be highly desirable and beneficial.
SUMMARY [0002] This summary is provided to introduce a selection of concepts that are further described below in the detailed description. This summary is not intended to identify key or essential features of the claimed subject matter, nor is it intended to be used as an aid in limiting the scope of the claimed subject matter.
[0003] In general, in one aspect, embodiments relate to a method for water cut sensing in an oil- water flow, the method comprising: obtaining a composite absorbance spectrum of the oil-water flow; obtaining a reference absorbance spectrum of a reference fluid; computing a slope for data points associated with the composite absorbance spectrum of the oil- water flow vs corresponding data points associated with the reference absorbance spectrum of the known fluid; and based on the slope, determining the water cut of the oil-water flow.
[0004] In general, in one aspect, embodiments relate to a system for water cut sensing in an oil-water flow, the system comprising: a laser-based spectroscopy sensor; and a computer system that: obtains a composite absorbance spectrum of the oil-water flow from the laser-based spectroscopy sensor, obtains a reference absorbance spectrum of a reference fluid, computes a slope for data points associated with the composite absorbance spectrum of the oil-water flow vs corresponding data points associated with the reference absorbance spectrum of the known fluid, and based on the slope, determines the water content in the oil-water flow.
[0005] In general, in one aspect, embodiments relate to a non-transitory machine- readable medium comprising a plurality of machine-readable instructions executed by one or more processors, the plurality of machine-readable instructions causing the one or more processors to perform operations comprising: obtaining a composite absorbance spectrum of the oil-water flow; obtaining a reference absorbance spectrum of a reference fluid; computing a slope for data points associated with the composite absorbance spectrum of the oil-water flow vs corresponding data points associated with the reference absorbance spectrum of the known fluid; and based on the slope, determining the water cut of the oil-water flow.
[0006] In light of the structure and functions described above, embodiments of the disclosure may include respective means adapted to carry out various steps and functions defined above in accordance with one or more aspects and any one of the embodiments of one or more aspect described herein.
[0007] Other aspects and advantages of the claimed subject matter will be apparent from the following description and the appended claims.
BRIEF DESCRIPTION OF DRAWINGS
[0008] Specific embodiments of the disclosed technology will now be described in detail with reference to the accompanying figures. Like elements in the various figures are denoted by like reference numerals for consistency.
[0009] FIG. 1 shows a well environment in accordance with one or more embodiments.
[0010] FIGs. 2A and 2B show systems for water cut sensing in an oil-water flow in accordance with one or more embodiments.
[0011] FIG. 3 shows a flowchart for a method in accordance with one or more embodiments.
[0012] FIG. 4 shows examples of slopes before and after outlier removal in accordance with one or more embodiments.
[0013] FIG. 5 shows performance examples in accordance with one or more embodiments.
[0014] FIG. 6 shows a computer system in accordance with one or more embodiments.
DETAILED DESCRIPTION [0015] In the following detailed description of embodiments of the disclosure, numerous specific details are set forth in order to provide a more thorough understanding of the disclosure. However, it will be apparent to one of ordinary skill in the art that the disclosure may be practiced without these specific details. In other instances, well-known features have not been described in detail to avoid unnecessarily complicating the description.
[0016] Throughout the application, ordinal numbers (e.g, first, second, third, etc.) may be used as an adjective for an element (z.e., any noun in the application). The use of ordinal numbers is not to imply or create any particular ordering of the elements nor to limit any element to being only a single element unless expressly disclosed, such as using the terms "before", "after", "single", and other such terminology. Rather, the use of ordinal numbers is to distinguish between the elements. By way of an example, a first element is distinct from a second element, and the first element may encompass more than one element and succeed (or precede) the second element in an ordering of elements.
[0017] Water cut (WC) measurement is essential in the oil industry as it is key for production allocation, reservoir management, and early water breakthrough detection. WC varies with the age and geolocation of oil wells, which requires WC sensors to span near full dynamic range (0 - 100%), and thus cover wide industrial applications.
[0018] In general, embodiments of the disclosure include systems and methods for WC sensing in an oil-water flow. The following discussion provides a description of scenarios that require or benefit from the availability of accurate WC measurements, followed by a description of the components of systems for WC sensing and operations performed by these systems.
[0019] FIG. 1 shows a schematic diagram in accordance with one or more embodiments. FIG. 1 illustrates a well environment (100) that includes a hydrocarbon reservoir (“reservoir”) (102) located in a subsurface hydrocarbon- bearing formation (104) and a well system (106). The hydrocarbon-bearing formation (104) may include a porous or fractured rock formation that resides underground, beneath the earth's surface (“surface”) (108). In the case of the well system (106) being a hydrocarbon well, the reservoir (102) may include a portion of the hydrocarbon-bearing formation (104). The hydrocarbon-bearing formation (104) and the reservoir (102) may include different layers of rock having varying characteristics, such as varying degrees of permeability, porosity, and resistivity. In the case of the well system (106) being operated as a production well, the well system (106) may facilitate the extraction of hydrocarbons (or “production”) from the reservoir (102). In the case of the well system (106) being operated as an injection well, the well system (106) may be used in a tertiary recovery method to displace the produced hydrocarbons and/or to maintain the pressure profile of the reservoir (102).
[0020] In some embodiments, the well system (106) includes a wellbore (120), a well sub-surface system (122), a well surface system (124), and a data acquisition system (126). The data acquisition system (126) may monitor and/or control various operations of the well system (106), such as well production operations, well completion operations, well maintenance operations, and reservoir monitoring, assessment and development operations. In some embodiments, the data acquisition system (126) includes a computer system that is the same as or similar to that of computer system (502) described below in FIG. 6 and the accompanying description.
[0021] The wellbore (120) may include a bored hole that extends from the surface (108) into a target zone of the hydrocarbon-bearing formation (104), such as the reservoir (102). An upper end of the wellbore (120), terminating at or near the surface (108), may be referred to as the “up-hole” end of the wellbore (120), and a lower end of the wellbore, terminating in the hydrocarbon-bearing formation (104), may be referred to as the “downhole” end of the wellbore (120). The wellbore (120) may facilitate the circulation of drilling fluids during drilling operations, the flow of hydrocarbon production (“production”) (121) (e.g., oil and gas) from the reservoir (102) to the surface (108) during production operations, the injection of substances (e.g., water) into the hydrocarbon-bearing formation (104) or the reservoir (102) during injection operations, or the communication of monitoring devices (e.g, logging tools) into the hydrocarbon-bearing formation (104) or the reservoir (102) during monitoring operations (e.g, during in situ logging operations).
[0022] In some embodiments, during operation of the well system (106), the data acquisition system (126) collects and records wellhead data (140) for the well system (106) and other data regarding downhole equipment and downhole sensors. The wellhead data (140) may include, for example, a record of measurements of wellhead pressure (P) (e.g, including flowing wellhead pressure (FWHP)), wellhead temperature (T) (e.g, including flowing wellhead temperature), wellhead production rate (R) over some or all of the life of the well (106), and/or water cut (WC) data. In some embodiments, the measurements are recorded in real-time, and are available for review or use within seconds, minutes or hours of the condition being sensed (e.g, the measurements are available within 1 hour of the condition being sensed). In such an embodiment, the wellhead data (140) may be referred to as “real-time” wellhead data (140). Real-time wellhead data (140) may enable an operator of the well to assess a relatively current state of the well system (106), and make real-time decisions regarding development of the well system (106) and the reservoir (102), such as on-demand adjustments in regulation of production flow from the well or injection flow to the well.
[0023] In some embodiments, the well surface system (124) includes a wellhead (130). The wellhead (130) may include a rigid structure installed at the “uphole” end of the wellbore (120), at or near where the wellbore (120) terminates at the Earth's surface (108). The wellhead (130) may include structures for supporting (or “hanging”) casing and production tubing extending into the wellbore (120). Production (121) may flow through the wellhead (130), after exiting the wellbore (120) and the well sub-surface system (122), including, for example, the casing and the production tubing. In some embodiments, the well surface system (124) includes flow regulating devices that are operable to control the flow of substances into and out of the wellbore (120). For example, the well surface system (124) may include one or more chokes (132) that are operable to control the flow of production (121).
[0024] Keeping with FIG. 1, in some embodiments, the well surface system (124) includes a surface sensing system (134). The surface sensing system (134) may include sensor devices for sensing characteristics of substances, including production (121), passing through or otherwise located in the well surface system (124). The characteristics may include, for example, pressure, temperature and flow rate of production (121) flowing through the wellhead (130), or other conduits of the well surface system (124), after exiting the wellbore (120).
[0025] In some embodiments, well intervention operations may also be performed at a well site. For example, well intervention operations may include various operations carried out by one or more service entities for an oil or gas well during its productive life (e.g, fracking operations, CT, flow back, separator, pumping, wellhead and production tree maintenance, slickline, braded line, coiled tubing, snubbing, workover, subsea well intervention, etc.). For example, well intervention activities may be similar to well completion operations, well delivery operations, and/or drilling operations in order to modify the state of a well or well geometry. In some embodiments, well intervention operations are used to provide well diagnostics, and/or manage the production of the well.
[0026] In one or more embodiments, the well system (106) further includes a system for WC sensing (not shown). As previously noted, WC measurements may be used for the purposes of production allocation, reservoir management, early water breakthrough detection, etc. A system for WC sensing is subsequently discussed in reference to the remaining figures.
[0027] While FIG. 1 shows various configurations of hardware components and/or software components, other configurations may be used without departing from the scope of the disclosure. For example, various components in FIG. 1 may be combined to create a single component. As another example, the functionality performed by a single component may be performed by two or more components.
[0028] FIGs. 2A and 2B show systems (200, 250) for water cut sensing in an oilwater flow in accordance with one or more embodiments. The systems (200, 250) implement laser-based absorption spectroscopy, operating in the nearinfrared (NIR) range for accurate water detection in the full dynamic rage (0 - 100% oil vs water) that may be used without requiring calibration.
[0029] The systems (200, 250) in accordance with embodiments of the disclosure uses NIR spectroscopy to measure the WC and rely on water having strong absorption lines in the infrared (IR) wavelength region. Example recordings of absorbance are shown for the NIR spectroscopy performed for water, but also for octane, methanol, isopropanol, silicone oil and ethanol which may be considered oil representative species. In one or more embodiments, the range of 4500 - 7500 cm-1 (~ 1300 - 2200 nm) is used for measuring the full range of water concentration (0 - 100%) with a minimum interference from oil. For example, the high peak near 1900 nm (5210 - 5270 cm-1) may be analyzed for water concentrations below 10%, while the lower peak near 1400 nm (7140 - 7200 cm ) may be used to measure higher concentrations.
[0030] As illustrated in FIGs. 2A and 2B, a quartz flow loop may be used to circulate an oil-water mixture. The NIR spectroscopy is performed through the quartz flow loop. The oil-water mixture may be obtained from a well environment as previously described. [0031] The system (200) includes three lasers, whereas the system (250) includes six lasers. Each of the lasers may be able to scan a spectral range of 20 cm-1.
[0032] More specifically, in the system (200), three fiber-coupled quantum cascade lasers (QCLs) (e.g, Nanoplus QCLs) emitting near 1.4 pm with an output power of, for example, ~ 10 mW are combined using a fiber combiner and collimated towards the target OW mixture to expose the OW mixture to an incident signal. Optical fibers may be utilized to carry the incident signal from the lasers to the water-coil flow in the pipe of the quartz flow loop and from the pipe to photodetectors. Driven by a laser controller, the lasers may be scanned at a frequency of 50 Hz to scan a tuning range of 7140 - 7200 cm-1. A pump (e.g, a 20 W DC-powered pump) may be used to circulate the OW mixture through the quartz flow loop with a 1 mm sampling length. The transmitted signal may be collected by a photodetector (e.g, a DC-coupled, TE-cooled photodetector with a bandwidth of 25 MHz, Thorlabs). In one embodiment, an 83 mm silica etalon is utilized to convert the scan time to wavenumbers. The NIR spectroscopy data obtained from the detectors may be processed by a computer system as further discussed below. Further, the NIR spectroscopy data may be visualized, e.g, using an oscilloscope.
[0033] In the system (250), while generally similar to the system (200), three distributed feedback (DFB) lasers (e.g, Nanoplus DFB lasers) are used to scan the spectral range of 7140 - 7200 cm , and three additional lasers are used to scan the range of 5210 - 5270 cm4. In one embodiment, the sampling length is 1 mm. Other sampling lengths may be used. For example, in order to detect low concentration measurements, the laser may be propagated through a 3-mm section to increase water absorbance, thereby reducing errors.
[0034] While FIGs. 2A and 2B show particular configurations of systems, variations of these systems may be used, without departing from the disclosure. For example, various optical elements may be arranged differently, and different and/or additional optical elements may be used, without departing from the disclosure. For example, any number and any types of lasers may be used, the sampling length may be varied, etc.
[0035] FIG. 3 shows a method for water cut sensing in an oil-water flow, in accordance with one or more embodiments. The method enables a determination of the water cut in an oil-water flow without the need for calibration or knowing the types of oils in the flow. Briefly summarized, the algorithm reduces or minimizes the effect of interfering absorbance to isolate the absorbance of water, thereby enabling an accurate prediction of the water cut without prior calibration. The calibration-free WC sensing is enabled by identifying and eliminating interference from non- water (e.g.,, oil) species in the oil-water flow as subsequently discussed. More specifically, a slope in data points obtained for absorbance is calculated for the composite absorbance spectrum of the oil-water flow vs. the corresponding data points obtained for an absorbance spectrum of a reference fluid (e.g. , water), and a fitting algorithm is applied to eliminate the effect of non- water (e.g, oil) species on the slope. The slope itself may be indicative of water concentration.
[0036] The method may be implemented using instructions stored on a non- transitory medium that may be executed by a computer system as shown in FIG. 6.
[0037] While the various blocks in FIG. 3 are presented and described sequentially, one of ordinary skill in the art will appreciate that some or all of the blocks may be executed in different orders, may be combined or omitted, and some or all of the blocks may be executed in parallel. Furthermore, the blocks may be performed actively or passively.
[0038] In Step 302, a composite absorbance spectrum of an oil-water flow is obtained. The composite absorbance spectrum maybe obtained using systems as shown in FIGs. 2 A and 2B. Briefly summarized, a laser signal is propagated through the oil-water flow and collected via a photodetector. The Beer-Lambert law is used to quantify the composite absorbance (across the spectrum) from the laser intensity attenuation. The composite absorbance is a result of the absorbance of water and/or oil in the flow.
[0039] In Step 304, data points are obtained for the first derivative of the composite absorbance spectrum of the oil-water flow. The first derivative may be computed between consecutive wavelength intervals. Any method for computing a derivative may be used.
[0040] In Step 306, a reference absorbance spectrum of a reference fluid is obtained. The reference fluid may be water, and the reference absorbance spectrum may be obtained from a database.
[0041] In Step 308, data points are obtained for the first derivative of the absorbance spectrum of water. The first derivative may be computed between consecutive wavelength intervals. Any method for computing a derivative may be used.
[0042] In Step 310, a slope is computed for the data points of the first derivative of the composite absorbance spectrum vs the corresponding data points of the first derivative of the reference absorbance spectrum. The slope may be computed by performing a linear fit. An example for the execution of Step 310 is provided in FIG. 4, left panel, showing the data points plotted in 2D space, and a linear fit line.
[0043] In Step 312, the slope is re-computed. First, a threshold distance may be defined to eliminate outliers in the data points of the first derivative of the composite absorbance spectrum. The distance may be any distance (e.g, an Euclidean distance) from the linear fit line. The threshold distance may be determined by experimentation or simulation. Specifically, different threshold distances may be used for the execution of the method of FIG. 3, and the threshold distance providing the best (most accurate water cut prediction) results may be selected for use. Next, outliers in the 2D space are determined using the threshold distance. Data points that are beyond the threshold distance are eliminated from further fits or calculations. After the removal of the outliers, the slope is re-calculated. An example of calculating the slope before and after outlier removal is discussed below in reference to FIG. 4. The left panel of FIG. 4 illustrates the calculation of the slope prior to outlier removal, and the right panel of FIG. 4 illustrates the calculation of the slope after outlier removal.
[0044] In Step 314, the water content in the oil-water content is determined based on the re-computed slope. For a reference absorbance spectrum that is based on 100% water, the water content (in %) is directly represented by the slope itself. For a reference absorbance spectrum that is based on a reference fluid that is an oil-water mix, the slope may be multiplied with the percentage of water in the oil-water mix of the reference fluid. For example, for a reference fluid that contains 90% water, the outlier-adjusted slope may be multiplied by 0.9.
[0045] The described steps may be performed for different wavelengths/wavenumbers. As shown in the spectrum included in FIG. 2 A, the absorbance of water includes a weaker peak near 7150 cm-1 and a stronger peak near 5250 cm-1. The former may be used to measure high water cuts, and the latter may be used to measure low water cuts. An advantage of using different peaks for different water cuts is that it allows the absorbance to be kept within a certain range (e.g, 0.01 - 3.5) to achieve a better signal-to-noise ratio. Accordingly, the calculations that result in the slope and the outlier- adjusted slope may be based on different regions of the absorbance spectra, depending on the prevalent water cut. Proper wavenumber intervals may, thus, be selected from the full absorbance spectra, based on this consideration. In an implementation of the method, an “if’ statement may be used to automate the above selection. First, the region at the stronger peak may be used to calculate the water cut. If the obtained reading is below 10%, the reading is assumed to be accurate. However, if the reading is above 10%, the execution of the method may be repeated for the region at the weaker peak. [0046] The steps of the described method may be repeatedly performed over time, e.g., in a loop. Accordingly, the system and method as described may continuously provide updated readings on the water cut in the oil-water flow.
[0047] FIG. 4 shows examples (400) of slopes before and after outlier removal, calculated using the method of FIG. 3. The plot in the left panel of FIG. 4 shows a slope generated in presence of outliers. The slope may have been obtained by execution of Step 310 of the method described in FIG. 3. The plot in the right panel of FIG. 4 shows an outlier-adjusted slope after removal of the outlier. The outlier-adjusted slope may have been obtained by execution of Step 312 of the method described in FIG. 3.
[0048] FIG. 5 shows performance examples (500). The plot in the left panel of FIG. 5 illustrates measured absorbance spectra obtained for oil-water mixtures with a water cut ranging from 0% to 100% and a comparison to a simulated pure water spectrum. The plot in the right panel of FIG. 5 visualizes the residual error in a comparison of measured water cut and actual water cut. As the plot shows, residuals remained in a range of +/-5%.
[0049] Embodiments of the disclosure have various beneficial characteristics. For example, embodiments of the disclosure provide an accurate sensing of the water cut in an oil-water flow, without requiring a calibration and without knowing the species present in the oil-water flow. Embodiments of the disclosure are robust against signal attenuation by laser scatting due to particles, salinity effects, and high temperature effects.
[0050] Embodiments may be implemented on a computer system. FIG. 6 is a block diagram of a computer system (602) used to provide computational functionalities associated with described algorithms, methods, functions, processes, flows, and procedures as described in the instant disclosure, according to an implementation. The illustrated computer (602) is intended to encompass any computing device such as a high-performance computing (HPC) device, a server, desktop computer, laptop/notebook computer, wireless data port, smart phone, personal data assistant (PDA), tablet computing device, one or more processors within these devices, or any other suitable processing device, including both physical or virtual instances (or both) of the computing device. Additionally, the computer (602) may include a computer that includes an input device, such as a keypad, keyboard, touch screen, or other device that can accept user information, and an output device that conveys information associated with the operation of the computer (602), including digital data, visual, or audio information (or a combination of information), or a GUI.
[0051] The computer (602) can serve in a role as a client, network component, a server, a database or other persistency, or any other component (or a combination of roles) of a computer system for performing the subject matter described in the instant disclosure. The illustrated computer (602) is communicab ly coupled with a network (630). In some implementations, one or more components of the computer (602) may be configured to operate within environments, including cloud-computing-based, local, global, or other environment (or a combination of environments).
[0052] At a high level, the computer (602) is an electronic computing device operable to receive, transmit, process, store, or manage data and information associated with the described subject matter. According to some implementations, the computer (602) may also include or be communicably coupled with an application server, e-mail server, web server, caching server, streaming data server, business intelligence (BI) server, or other server (or a combination of servers).
[0053] The computer (602) can receive requests over network (630) from a client application (for example, executing on another computer (602)) and responding to the received requests by processing the said requests in an appropriate software application. In addition, requests may also be sent to the computer (602) from internal users (for example, from a command console or by other appropriate access method), external or third-parties, other automated applications, as well as any other appropriate entities, individuals, systems, or computers.
[0054] Each of the components of the computer (602) can communicate using a system bus (603). In some implementations, any or all of the components of the computer (602), both hardware or software (or a combination of hardware and software), may interface with each other or the interface (604) (or a combination of both) over the system bus (603) using an application programming interface (API) (612) or a service layer (613) (or a combination of the API (612) and service layer (613). The API (612) may include specifications for routines, data structures, and object classes. The API
(612) may be either computer-language independent or dependent and refer to a complete interface, a single function, or even a set of APIs. The service layer
(613) provides software services to the computer (602) or other components (whether or not illustrated) that are communicably coupled to the computer (602). The functionality of the computer (602) may be accessible for all service consumers using this service layer. Software services, such as those provided by the service layer (613), provide reusable, defined business functionalities through a defined interface. For example, the interface may be software written in JAVA, C++, or other suitable language providing data in extensible markup language (XML) format or other suitable format. While illustrated as an integrated component of the computer (602), alternative implementations may illustrate the API (612) or the service layer (613) as stand-alone components in relation to other components of the computer (602) or other components (whether or not illustrated) that are communicably coupled to the computer (602). Moreover, any or all parts of the API (612) or the service layer (613) may be implemented as child or sub-modules of another software module, enterprise application, or hardware module without departing from the scope of this disclosure. [0055] The computer (602) includes an interface (604). Although illustrated as a single interface (604) in FIG. 6, two or more interfaces (604) may be used according to particular needs, desires, or particular implementations of the computer (602). The interface (604) is used by the computer (602) for communicating with other systems in a distributed environment that are connected to the network (630). Generally, the interface (604 includes logic encoded in software or hardware (or a combination of software and hardware) and operable to communicate with the network (630). More specifically, the interface (604) may include software supporting one or more communication protocols associated with communications such that the network (630) or interface's hardware is operable to communicate physical signals within and outside of the illustrated computer (602).
[0056] The computer (602) includes at least one computer processor (605). Although illustrated as a single computer processor (605) in FIG. 6, two or more processors may be used according to particular needs, desires, or particular implementations of the computer (602). Generally, the computer processor (605) executes instructions and manipulates data to perform the operations of the computer (602) and any algorithms, methods, functions, processes, flows, and procedures as described in the instant disclosure.
[0057] The computer (602) also includes a memory (606) that holds data for the computer (602) or other components (or a combination of both) that can be connected to the network (630). For example, memory (606) can be a database storing data consistent with this disclosure. Although illustrated as a single memory (606) in FIG. 6, two or more memories may be used according to particular needs, desires, or particular implementations of the computer (602) and the described functionality. While memory (606) is illustrated as an integral component of the computer (602), in alternative implementations, memory (606) can be external to the computer (602). [0058] The application (607) is an algorithmic software engine providing functionality according to particular needs, desires, or particular implementations of the computer (602), particularly with respect to functionality described in this disclosure. For example, application (607) can serve as one or more components, modules, applications, etc. Further, although illustrated as a single application (607), the application (607) may be implemented as multiple applications (607) on the computer (602). In addition, although illustrated as integral to the computer (602), in alternative implementations, the application (607) can be external to the computer (602).
[0059] There may be any number of computers (602) associated with, or external to, a computer system containing computer (602), each computer (602) communicating over network (630). Further, the term “client,” “user,” and other appropriate terminology may be used interchangeably as appropriate without departing from the scope of this disclosure. Moreover, this disclosure contemplates that many users may use one computer (602), or that one user may use multiple computers (602).
[0060] In some embodiments, the computer (602) is implemented as part of a cloud computing system. For example, a cloud computing system may include one or more remote servers along with various other cloud components, such as cloud storage units and edge servers. In particular, a cloud computing system may perform one or more computing operations without direct active management by a user device or local computer system. As such, a cloud computing system may have different functions distributed over multiple locations from a central server, which may be performed using one or more Internet connections. More specifically, a cloud computing system may operate according to one or more service models, such as infrastructure as a service (laaS), platform as a service (PaaS), software as a service (SaaS), mobile "backend" as a service (MBaaS), serverless computing, artificial intelligence (Al) as a service (AlaaS), and/or function as a service (FaaS). [0061] Although only a few example embodiments have been described in detail above, those skilled in the art will readily appreciate that many modifications are possible in the example embodiments without materially departing from this invention. Accordingly, all such modifications are intended to be included within the scope of this disclosure as defined in the following claims.

Claims

CLAIMS What is claimed:
1. A method (300) for water cut sensing in an oil-water flow, the method comprising: obtaining a composite absorbance spectrum of the oil-water flow; obtaining a reference absorbance spectrum of a reference fluid; computing a slope (400) for data points associated with the composite absorbance spectrum of the oil-water flow vs corresponding data points associated with the reference absorbance spectrum of the known fluid; and based on the slope (400), determining the water cut of the oil-water flow.
2. The method (300) of claim 1, wherein computing the data points associated with the composite absorbance spectrum comprises computing a first derivative (400) of the composite absorbance spectrum.
3. The method (300) of claim 1, wherein computing the data points associated with the reference absorbance spectrum comprises computing a first derivative (400) of the reference absorbance spectrum.
4. The method (300) of claim 1, wherein the known fluid is water.
5. The method (300) of claim 1, further comprising, prior to determining the water cut: re-computing the slope (400) after eliminating outliers in the data points associated with the composite absorbance spectrum.
6. The method (300) of claim 5, wherein the outliers are eliminated based on exceeding a distance from a linear fit line with the slope.
7. The method (300) of claim 1, wherein obtaining a composite absorbance spectrum of the oil-water flow comprises performing a laser-based absorption spectroscopy.
8. The method (300) of claim 1, wherein: the computing of the slope is performed for a first region of the composite absorbance spectrum, the water cut is determined to be above 10%, and based on the water cut being above 10%, the computing of the slope is repeated for a second region of the composite absorbance spectrum.
9. A system (200, 250) for water cut sensing in an oil-water flow, the system comprising: a laser-based spectroscopy sensor; and a computer system (602) that: obtains a composite absorbance spectrum of the oil-water flow from the laser-based spectroscopy sensor, obtains a reference absorbance spectrum of a reference fluid, computes a slope (400) for data points associated with the composite absorbance spectrum of the oil-water flow vs corresponding data points associated with the reference absorbance spectrum of the known fluid, and based on the slope (400), determines the water content in the oil-water flow.
10. The system (200, 250) of claim 1, wherein computing the data points associated with the composite absorbance spectrum comprises computing a first derivative (400) of the composite absorbance spectrum.
11. The system (200, 250) of claim 9, wherein computing the data points associated with the reference absorbance spectrum comprises computing a first derivative (400) of the reference absorbance spectrum.
12. The system (200, 250) of claim 9, wherein the known fluid is water.
13. The system (200, 250) of claim 9, wherein the computer system further, prior to determining the water cut: re-computes the slope (400) after eliminating outliers in the data points associated with the composite absorbance spectrum.
14. The system (200, 250) of claim 13, wherein the outliers are eliminated based on exceeding a distance from a linear fit line with the slope.
15. The system (200, 250) of claim 9, wherein: the computing of the slope (400) is performed for a first region of the composite absorbance spectrum, the water cut is determined to be above 10%, and based on the water cut being above 10%, the computing of the slope is repeated for a second region of the composite absorbance spectrum.
16. A non-transitory computer readable medium (CRM) (606) storing computer readable program code for water cut sensing in an oil-water flow, the computer readable program code causing a computer system (602) to: obtain a composite absorbance spectrum of the oil-water flow; obtain a reference absorbance spectrum of a reference fluid; compute a slope (400) for data points associated with the composite absorbance spectrum of the oil-water flow vs corresponding data points associated with the reference absorbance spectrum of the known fluid; and based on the slope (400), determine the water cut of the oil-water flow.
17. The non-transitory computer readable medium (606) of claim 16, wherein computing the data points associated with the composite absorbance spectrum comprises computing a first derivative (400) of the composite absorbance spectrum.
18. The non-transitory computer readable medium (606) of claim 16, wherein computing the data points associated with the reference absorbance spectrum comprises computing a first derivative (400) of the reference absorbance spectrum.
19. The non-transitory computer readable medium (606) of claim 16, wherein the computer readable program code further causes the computer system to, prior to determining the water cut: re-compute the slope (400) after eliminating outliers in the data points associated with the composite absorbance spectrum.
20. The non-transitory computer readable medium (606) of claim 16, wherein: the computing of the slope (400) is performed for a first region of the composite absorbance spectrum, the water cut is determined to be above 10%, and based on the water cut being above 10%, the computing of the slope is repeated for a second region of the composite absorbance spectrum.
EP23848166.7A 2022-12-19 2023-12-15 Method and system for water cut sensing in an oil-water flow Pending EP4639141A1 (en)

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US18/535,983 US12618770B2 (en) 2023-12-11 Method and system for water cut sensing in an oil-water flow
PCT/US2023/084421 WO2024137414A1 (en) 2022-12-19 2023-12-15 Method and system for water cut sensing in an oil-water flow

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US20170314383A1 (en) * 2016-04-28 2017-11-02 New Mexico Tech Research Foundation Situ method of analyzing mixed-phase flow compositions
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