CN110242281B - Intelligent calibration self-checking method and device for oil well - Google Patents
Intelligent calibration self-checking method and device for oil well Download PDFInfo
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- 239000003129 oil well Substances 0.000 title claims abstract description 56
- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000004519 manufacturing process Methods 0.000 claims abstract description 94
- 239000007788 liquid Substances 0.000 claims abstract description 87
- 238000005259 measurement Methods 0.000 claims abstract description 57
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 45
- 238000000605 extraction Methods 0.000 claims abstract description 41
- 238000005457 optimization Methods 0.000 claims abstract description 16
- 238000011084 recovery Methods 0.000 claims abstract description 15
- 238000012544 monitoring process Methods 0.000 claims description 9
- 238000004441 surface measurement Methods 0.000 claims description 9
- 238000007405 data analysis Methods 0.000 claims description 8
- 241000191291 Abies alba Species 0.000 claims description 4
- 238000013528 artificial neural network Methods 0.000 claims description 4
- 238000012360 testing method Methods 0.000 claims description 4
- 230000007175 bidirectional communication Effects 0.000 claims description 3
- 238000013135 deep learning Methods 0.000 claims description 2
- 238000000926 separation method Methods 0.000 claims description 2
- 238000010998 test method Methods 0.000 claims 2
- 239000003921 oil Substances 0.000 abstract description 123
- 239000010779 crude oil Substances 0.000 abstract description 8
- 239000007789 gas Substances 0.000 description 16
- 230000006870 function Effects 0.000 description 6
- 238000004458 analytical method Methods 0.000 description 5
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- 238000001514 detection method Methods 0.000 description 4
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- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 2
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B43/00—Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
- E21B43/12—Methods or apparatus for controlling the flow of the obtained fluid to or in wells
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
- E21B47/06—Measuring temperature or pressure
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
- E21B47/06—Measuring temperature or pressure
- E21B47/07—Temperature
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B47/00—Survey of boreholes or wells
- E21B47/12—Means for transmitting measuring-signals or control signals from the well to the surface, or from the surface to the well, e.g. for logging while drilling
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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Abstract
The invention discloses an oil well intelligent calibration self-checking method and device, wherein the method comprises the following steps: acquiring underground measurement data and ground measurement data in real time; judging the running state and the oil collecting condition of oil extraction equipment based on the underground measurement data and the ground measurement data; and calibrating and optimizing the operation parameters of the oil extraction equipment according to the operation state of the oil extraction equipment and the oil collection condition. The method can be used for analyzing, modeling and intelligently optimizing decisions based on the underground liquid production information and ground metering information acquired in real time, making reasonable oil extraction working system, realizing stable oil and water control, improving the crude oil recovery ratio and realizing production optimization.
Description
Technical Field
The invention belongs to the technical field of petroleum and natural gas detection, and particularly relates to an intelligent calibration self-checking method and device for an oil well.
Background
Currently, oilfield oil well production is gradually changed from traditional general production to multi-layer fine production. Along with the later development period of the oil field, the high water-bearing layer and the middle and low water-bearing layers are staggered, and the high water-bearing condition also occurs in the main production layer of many oil wells, so that some low water-bearing and low permeability oil layers cannot be normally exploited.
In order to solve the problems, an intelligent layered oil extraction technology is proposed, namely, installing a production allocation device in each oil production layer, separating the layers by using a cable packer, connecting the layers to the ground through a cable, and acquiring the flow, water content, temperature, pressure and other production information of each underground production layer in real time. And (3) formulating a reasonable working system through the liquid production information of each layer, and taking yield-increasing measures. When the high-water-content layer and the main producing layer are found, the liquid production amount and the output pressure of each layer are controlled by regulating and controlling the opening of the oil nozzle of the underground production regulator, the abnormal high-pressure layer is reduced, the residual oil potential of the middle-low-water-content layer is fully excavated, and the crude oil recovery ratio is improved.
The reasonable working system and the establishment of the production-increasing measures are based on the accuracy of data, and along with long-term working, the measuring channel of the underground production-distributing device is affected by crude oil scaling, underground liquid gas content, sediment and the like, so that the measuring accuracy of underground flow and water content is gradually reduced. Meanwhile, under the high-temperature and high-pressure environment, electronic components of the downhole production allocation device are gradually aged, parameters drift, and measurement accuracy is affected; the oil nozzle of the downhole production distributor is fouled, and the motor is worn to cause the risk of failure in regulation.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides an intelligent calibration self-checking method and device for an oil well, in particular to an intelligent calibration self-checking method and device for the oil well, which are used for improving measurement accuracy and optimizing production decisions by combining a downhole production allocation device with a ground metering device. The technical problems to be solved by the invention are realized by the following technical scheme:
one aspect of the invention provides an oil well intelligent calibration self-checking method, comprising the following steps:
acquiring underground measurement data and ground measurement data in real time;
monitoring the running state and the oil collecting condition of oil extraction equipment based on the underground measurement data and the ground measurement data;
and calibrating and optimizing the operation parameters of the oil extraction equipment according to the operation state of the oil extraction equipment and the oil collection condition.
In one embodiment of the invention, acquiring downhole measurement data and surface measurement data in real time includes:
acquiring relevant parameters of each oil layer in real time through a production allocator positioned in each underground oil layer, wherein the relevant parameters of each oil layer comprise the flow rate and the water content of the acquired oil liquid, the pressure in an oil pipe, the annular pressure and the temperature of an oil sleeve, the opening degree of an oil nozzle, and the cable head voltage, the motor voltage, the working current and the working temperature of each production allocator of each oil layer;
and acquiring the output and the water content of the acquired oil liquid in real time through a ground measuring unit, wherein the ground measuring unit comprises a mass flowmeter.
In one embodiment of the invention, monitoring the operational status and oil collection of the oil recovery equipment based on the downhole measurement data and the surface measurement data comprises:
transmitting the downhole measurement data and the surface measurement data to a surface control unit;
the ground control unit judges whether the operation of the production allocation device is normal or not according to the underground measurement data, if so, the operation is continued, if not, the working parameters and the operation state of the production allocation device are analyzed and modeled, and the working parameters of the production allocation device are optimized;
and the ground control unit judges whether the oil extraction rate of the oil well is normal according to the ground measurement data, if so, the operation is continued, and if not, the working parameters of the oil extraction equipment are adjusted.
In one embodiment of the invention, the calibration and optimization of the operating parameters of the oil recovery device according to the operating state and oil collection condition of the oil recovery device comprises:
calibrating and adjusting ground power supply voltage of each oil layer regulator according to cable head voltage, motor voltage, working current and working temperature of the regulator;
controlling the opening of the oil nozzle of each yield regulator based on the output and the water content of the collected oil liquid;
based on underground measurement data and ground measurement data acquired in real time, data analysis, comparison and modeling are carried out, and a reasonable oil extraction working system is formulated.
In one embodiment of the invention, the method further comprises:
only opening the oil nozzle of one of the oil layer production allocation devices, and closing the oil nozzles of the other layer production allocation devices;
acquiring the current yield and the current water content of the collected oil liquid through a ground measurement unit;
and correcting the working parameters of the current yield regulator according to the current yield and the current water content.
Another aspect of the invention provides an oil well intelligent calibration self-test device for performing the method of any of the above embodiments, the device comprising a jet separator, a gas flow channel, a liquid flow channel, a surface control unit, a mass flow meter, a liquid inlet pipe and a liquid outlet pipe, wherein,
the liquid inlet pipe is connected to the jet separator, and the jet separator is used for carrying out gas-liquid separation on the produced liquid of the oil well;
the first end of the gas flow channel is connected to the jet separator and used for conveying separated gas, and the first end of the liquid flow channel is connected to the jet separator and used for conveying separated liquid;
the mass flowmeter is arranged on the liquid flow channel and is used for measuring the liquid yield and the water content of the oil well;
the ground control unit is respectively connected with the underground production allocation devices and the mass flowmeter and is used for acquiring the measured values of the underground production allocation devices and the mass flowmeter and performing self-checking and parameter optimization according to the measured values.
In one embodiment of the invention, the second end of the gas flow channel and the second end of the liquid flow channel converge together and communicate with the outlet pipe.
In one embodiment of the present invention, the liquid inlet pipe and the liquid outlet pipe are respectively provided with a switch valve to control the flow of liquid.
In one embodiment of the invention, one end of the feed pipe is connected to the plurality of downhole distributors by a christmas tree line, and the other end is connected to the middle part of the jet separator.
In one embodiment of the invention, the surface control unit is connected to the plurality of downhole distributors by a single cable for bi-directional communication with the plurality of downhole distributors.
Compared with the prior art, the invention has the beneficial effects that:
1. the oil well intelligent calibration self-checking method and device can acquire the total liquid yield and the water content of the oil well wellhead and the liquid yield and the water content of each underground layering, calibrate the measurement parameters regularly and improve the accuracy of layering measurement.
2. The oil well intelligent calibration self-checking method and device can be used for making reasonable oil extraction working system based on the real-time collected underground liquid production information and ground metering information, carrying out big data analysis, modeling and intelligent optimization decision, realizing oil stabilization and water control, improving the crude oil recovery ratio and the life cycle of instrument and equipment, realizing production optimization, and is a closed loop process of self diagnosis, self learning and self improvement.
The present invention will be described in further detail with reference to the accompanying drawings and examples.
Drawings
FIG. 1 is a flow chart of an intelligent calibration self-checking method for an oil well provided by an embodiment of the invention;
FIG. 2 is a schematic structural diagram of an intelligent calibration self-checking device for an oil well, which is provided by the embodiment of the invention;
fig. 3 is a schematic diagram of a use state of an intelligent calibration self-checking device for an oil well according to an embodiment of the present invention.
Reference numerals illustrate:
1-a jet separator; 2-gas flow channels; 3-a liquid flow channel; 4-a ground control unit; 5-a mass flowmeter; 6-a liquid inlet pipe; 7-a liquid outlet pipe; 8-a liquid inlet; 9-a liquid outlet; 10-switching a valve; 11-a downhole production allocator; 12-single core cable; 13-a bypass conduit; 14-a christmas tree pipeline; 15-cable packer.
Detailed Description
In order to further explain the technical means and effects adopted by the invention to achieve the preset aim, the invention provides an intelligent oil well calibration self-checking method and device according to the invention, which are described in detail below with reference to the accompanying drawings and the detailed description.
The foregoing and other features, aspects, and advantages of the present invention will become more apparent from the following detailed description of the preferred embodiments when taken in conjunction with the accompanying drawings. The technical means and effects adopted by the present invention to achieve the intended purpose can be more deeply and specifically understood through the description of the specific embodiments, however, the attached drawings are provided for reference and description only, and are not intended to limit the technical scheme of the present invention.
Example 1
Referring to fig. 1, fig. 1 is a flowchart of an intelligent calibration self-checking method for an oil well according to an embodiment of the present invention. The oil well intelligent calibration self-checking method of the embodiment comprises the following steps:
s1: acquiring underground measurement data and ground measurement data in real time;
specifically, relevant parameters of each oil layer are collected in real time through a production allocation device positioned in each underground oil layer, wherein the relevant parameters of each oil layer comprise, but are not limited to, the flow rate, the water content, the temperature, the pressure, the opening of a nozzle, the in-pipe pressure and the out-pipe pressure of an oil delivery pipe, the cable head voltage, the motor voltage, the working current and the working temperature of each production allocation device of each oil layer, the instrument power supply voltage and the key device electrical parameters; and acquiring the output and the water content of the acquired oil liquid in real time through a ground measuring unit, wherein the ground measuring unit comprises a mass flowmeter.
In the development process of the oil field, a packer is arranged in a well to divide an oil layer into a plurality of production intervals according to the development requirement of the oil field, a production allocation device is arranged on each different interval, a choke switch is arranged in the production allocation device, and different production pressure differences can be controlled by adjusting the opening of the choke to obtain different yields. In this embodiment, the production distributors of each oil layer in the well are connected by oil pipes and are installed in each production layer of the oil well, and the production layers are separated by cable packers. Further, in this embodiment, the downhole production distributors of each layer are connected to the well intelligent calibration self-test device at the surface by cables. The intelligent calibration self-checking device for the oil well can be in bidirectional communication with the underground production allocation device through a cable. The intelligent oil well calibration device has the functions of data acquisition and analysis, self calibration, self detection and life cycle management.
Further, the intelligent calibration self-checking device for the oil well comprises a ground measuring unit and a ground control unit, wherein the ground measuring unit is used for acquiring the output and the water content of the collected oil liquid, and the ground control unit is respectively connected with a plurality of underground yield distributors and the ground measuring unit and used for acquiring the measured values of the underground yield distributors and the mass flowmeters and carrying out self-checking and parameter optimization according to the measured values.
S2: monitoring the running state and the oil collecting condition of oil extraction equipment based on the underground measurement data and the ground measurement data;
specifically, first, the downhole measurement data and surface measurement data are transmitted to the surface control unit; the ground control unit performs data processing on the underground measurement data, judges whether the operation of the production allocation device is normal according to the result of the data processing, if so, continues to operate according to an original working system, namely the original set working parameters, wherein the working system comprises the establishment of parameters such as the opening degree of the production allocation device of each layer in the underground, the power supply voltage, the wheel production time period and the like; if not, namely the operation of the equipment of the yield regulator is abnormal, for example, the working voltage and the working temperature of the yield regulator exceed the preset range, the working parameters and the operation state of the yield regulator are analyzed to obtain the reasons for the occurrence of the abnormality, and the working parameters of the yield regulator are optimized to enable the yield regulator to return to the normal operation state.
Then, the ground control unit can also judge whether the oil extraction rate is normal according to the ground measurement data, if so, the operation is continued according to an original working system, namely, the original set working parameters; if not, adjusting the working parameters of the oil extraction equipment, namely the production allocation device. For example, if the oil recovery rate is detected to be lower than the predetermined range, the electromechanical operating state of the choke of the downhole assembly may be controlled by the surface control unit so that the oil recovery rate is maintained within the predetermined range.
S3: and calibrating and optimizing the operation parameters of the oil extraction equipment according to the operation state of the oil extraction equipment and the oil collection condition.
Further, the ground power supply voltage is calibrated and adjusted through the cable head voltage, the motor voltage, the working current and the working temperature of each oil layer production allocation device;
specifically, by monitoring the cable head voltage, the motor voltage and other important device working voltages of all layers of underground production allocation devices, working current and working temperature, calculating the power consumption conditions of key point chips and power devices, the optimal ground power supply voltage is obtained, the ground power supply voltage is adjusted, and excess loss of electric elements caused by overpressure and undervoltage of all instruments and unbalanced power supply of all layers due to cable voltage drop, oil pipe resistance voltage drop and human factors is avoided.
Controlling the opening of the oil nozzle of each yield regulator based on the output and the water content of the collected oil liquid; based on underground measurement data and ground measurement data acquired in real time, data analysis, comparison and modeling are carried out, and a reasonable oil extraction working system is formulated.
Specifically, through the monitoring to the operating condition of the underground oil nozzle motor, the operating duration and the frequency of the motor can be effectively controlled, and the service life of the motor can be prolonged. Performing instrument operation analysis based on the data acquired in real time, formulating an operation working system and working parameters, improving operation performance and prolonging the life cycle of the instrument; early warning is carried out on equipment faults based on data acquired in real time, and fault hidden dangers are repaired and processed in advance, so that faults are avoided or reduced, and the overall operation and maintenance cost is reduced; based on the real-time collected underground liquid production information of each layer and the information of the ground metering device, big data analysis, modeling and intelligent optimization decision making are carried out, a reasonable oil extraction working system is formulated, the opening of the oil nozzle of each oil distributor is reasonably controlled according to the oil extraction working system, the oil stability and the water control are realized, the crude oil recovery ratio is improved, and the production optimization is realized.
Further, the method of the present embodiment can also implement a self-calibration function, specifically including: only the oil nozzle of one of the production allocation devices in each layer is opened, and the oil nozzle of the other production allocation devices in other layers is closed; acquiring the current yield and the current water content of the collected oil liquid through a ground measurement unit; and the ground control unit corrects the working parameters of the current production allocation device according to the current yield and the current water content, so as to eliminate the influence of underground gas, scale and sediment on the measurement of the water content of oil. Through the steps, the production allocation devices perform periodic production, and the ground control unit can automatically calibrate the working parameters of the production allocation devices, so that the influences of underground gas, scale formation, sediment and the like in the measurement of the water content of oil liquid are eliminated.
The intelligent calibration self-checking method and device for the oil well can be used for analyzing, modeling and intelligently optimizing decisions based on the underground liquid production information and ground metering information of each layer acquired in real time, making a reasonable oil extraction working system, realizing oil stabilization and water control, improving the crude oil recovery ratio and the life cycle of instruments and equipment, and realizing production optimization. Specifically, according to parameters such as total oil well wellhead liquid yield, water content, underground layered liquid yield, water content and the like which are acquired in real time, a deep learning neural network is established through big data analysis; all parameters are attached to the neural network, so that a rule is searched from massive numerical parameters; and (3) establishing a high-dimensional nonlinear numerical model, and predicting future oil well pressure, yield and the like through a big data simulator so as to adjust production decisions.
Example two
On the basis of the embodiment, the embodiment provides an intelligent calibration self-checking device for an oil well. The intelligent oil well calibration device has the functions of data acquisition and analysis, self calibration, self detection and life cycle management. The oil well intelligent calibration self-checking device comprises a ground measuring unit and a ground control unit, wherein the ground measuring unit is used for acquiring the output and the water content of collected oil, and the ground control unit is respectively connected with a plurality of underground yield distributors and the ground measuring unit and is used for acquiring the measured values of the underground yield distributors and the mass flowmeters and carrying out self-checking and parameter optimization according to the measured values.
Specifically, referring to fig. 2 and 3, fig. 2 is a schematic structural diagram of an oil well intelligent calibration self-checking device according to an embodiment of the present invention; fig. 3 is a schematic diagram of a use state of an intelligent calibration self-checking device for an oil well according to an embodiment of the present invention. The intelligent calibration self-checking device for the oil well comprises a jet separator 1, a gas flow channel 2, a liquid flow channel 3, a ground control unit 4, a mass flowmeter 5, a liquid inlet pipe 6 and a liquid outlet pipe 7. A feed pipe 6 is connected to the jet separator 1, the feed pipe 6 being used to convey the oil produced in the next pass to the jet separator 1. The jet separator 1 is used for separating gas from liquid of oil well produced liquid; the first end of the gas flow channel 2 is connected to the jet separator 1 and is used for conveying separated gas; the first end of the liquid flow channel 3 is connected to the jet separator 1 for delivering separated liquid; the second end of the gas flow channel 2 and the second end of the liquid flow channel 3 converge and communicate with the liquid outlet pipe 7 such that the previously separated gas and liquid are re-mixed and discharged from the liquid outlet pipe 7.
A mass flowmeter 5 is mounted on the liquid flow channel 3 for measuring the liquid yield and water content of the oil well; the surface control unit 4 is connected to the plurality of downhole distributors 11 and the mass flowmeter 5, respectively, for obtaining measured values of the plurality of downhole distributors and the mass flowmeter 5 and performing self-checking and parameter optimization according to the measured values.
Further, on-off valves 10 are respectively installed on the liquid inlet pipe 6 and the liquid outlet pipe 7 to control the flow of liquid. The oil well intelligent calibration self-checking device further comprises a bypass pipeline 13, one end of the bypass pipeline 13 is communicated with the liquid inlet pipe 6, and the other end of the bypass pipeline is communicated with the liquid outlet pipe 7. The bypass pipe 13 is provided with an on-off valve (not shown in the drawings) for controlling the on-off of the bypass pipe 13.
Specifically, when data measurement is required to be performed on the extracted oil, the switch valve on the bypass pipeline 13 is closed, and the switch valves 10 on the liquid inlet pipe 6 and the liquid outlet pipe 7 are opened, so that the extracted oil cannot circulate through the bypass pipeline 13, and the extracted oil can only pass through the oil well intelligent calibration self-checking device, so that accurate flow measurement data can be obtained; when data measurement is not needed to be carried out on the extracted oil or the intelligent calibration self-checking device of the oil well fails, the switch valve on the bypass pipeline 13 is opened, and the switch valve 10 on the liquid inlet pipe 6 and the liquid outlet pipe 7 is closed, so that the extracted oil can circulate only through the bypass pipeline 13, and normal extraction operation cannot be influenced.
Further, one end of the feed pipe 6 is connected to a production distributor 11 of each oil layer in the well through a feed port 8 and a christmas tree pipeline 14, and the other end is connected to the middle part of the jet separator 1. In this embodiment, the production distributors 11 of each oil layer in the well are connected by oil pipes and are arranged in each production layer of the oil well, and the production layers are separated by cable packers 15. Further, the downhole production distributors of each layer are connected to the well intelligent calibration self-test device at the surface, in particular to the surface control unit 4, by means of a single core cable 12. The downhole distributor 11 may collect relevant parameters for each reservoir in real time including, but not limited to: the flow, the water content, the temperature, the pressure, the opening of a nozzle, the in-pipe pressure and the out-pipe pressure of an oil delivery pipe are collected, and the cable head voltage, the motor voltage, the working current and the working temperature of each oil layer production allocation device, the instrument power supply voltage and the key device electrical parameters are obtained. The ground control unit 4 can perform two-way communication with the downhole production allocator 11 through the single-core cable 12, on one hand, the ground control unit 4 can acquire various downhole measurement data from the production allocator through the single-core cable 12, and on the other hand, the ground control unit 4 can transmit control signals to the production allocator through the single-core cable 12 so as to adjust the operation parameters and the operation state of the production allocator.
Further, the surface control unit 4 can monitor the operation state and the oil collection condition of the oil extraction equipment according to the underground measurement data and the surface measurement data. Specifically, first, the downhole measurement data and surface measurement data are transmitted to the surface control unit; the ground control unit performs data processing on the underground measurement data, judges whether the operation of the production allocation device is normal according to the result of the data processing, and if so, continues to operate according to an original working system, namely the original set working parameters; if not, namely the operation of the equipment of the yield regulator is abnormal, for example, the working voltage and the working temperature of the yield regulator exceed the preset range, the working parameters and the operation state of the yield regulator are analyzed to obtain the reasons for the occurrence of the abnormality, and the working parameters of the yield regulator are optimized to enable the yield regulator to return to the normal operation state.
Then, the ground control unit can also judge whether the oil extraction rate is normal according to the ground measurement data, if so, the operation is continued according to an original working system, namely, the original set working parameters; if not, adjusting the working parameters of the oil extraction equipment, namely the production allocation device. For example, if the oil recovery rate is detected to be lower than the predetermined range, the electromechanical operating state of the choke of the downhole assembly may be controlled by the surface control unit so that the oil recovery rate is maintained within the predetermined range.
Further, the oil well intelligent calibration self-checking device has self-checking and life cycle management functions, and the ground control unit 4 can calibrate and optimize the operation parameters of the oil extraction equipment according to the operation state and the oil collection condition of the oil extraction equipment.
Specifically, the ground control unit 4 can obtain the optimal ground power supply voltage and adjust the ground power supply voltage by monitoring the cable head voltage, the motor voltage and other important device working voltages of all layers of underground production distributors, working current, working temperature and power consumption conditions of a calculation key point chip and a power device, so that excess loss of electric elements caused by overvoltage and undervoltage of various instruments and unbalanced power supply of all layers due to cable voltage drop, oil pipe resistance voltage drop and human factors is avoided.
Controlling the opening of the oil nozzle of each production allocation device based on the running state of the oil extraction equipment and the oil collecting condition; and early warning is carried out in advance according to the running state of the oil extraction equipment so as to repair and treat hidden trouble in advance. Specifically, the ground control unit 4 can effectively control the working time and frequency of the motor and prolong the service life of the motor by monitoring the working state of the underground oil nozzle motor. Performing instrument operation analysis based on the data acquired in real time, formulating an operation working system and working parameters, improving operation performance and prolonging the life cycle of the instrument; early warning is carried out on equipment faults based on data acquired in real time, and fault hidden dangers are repaired and processed in advance, so that faults are avoided or reduced, and the overall operation and maintenance cost is reduced; based on the real-time collected underground liquid production information of each layer and the information of the ground metering device, big data analysis, modeling and intelligent optimization decision making are carried out, a reasonable oil extraction working system is formulated, the opening of the oil nozzle of each oil distributor is reasonably controlled according to the oil extraction working system, the oil stability and the water control are realized, the crude oil recovery ratio is improved, and the production optimization is realized.
Furthermore, the oil well intelligent calibration self-checking device also has a self-calibration function. Specifically, only the oil nozzle of one of the production distributors 11 in each layer is opened, and the oil nozzles of the other production distributors 11 in the other layers are closed; acquiring the current yield and the current water content of the collected oil liquid through a ground measurement unit 4; the ground control unit 4 corrects the working parameters of the current production allocation device 11 according to the current yield and the current water content, so as to eliminate the influence of underground gas, scale and sediment on the measurement of the water content of oil. Through the step, the production allocation devices are subjected to periodic production, and the ground control unit can automatically calibrate the working parameters of each production allocation device, so that the influences of underground gas, scale formation, sediment and the like in the measurement of the water content of oil liquid are eliminated.
The device of the embodiment has the functions of data acquisition and analysis, self calibration, self detection and life cycle management, can perform big data analysis, modeling and intelligent optimization decision making based on underground liquid production information and ground metering information acquired in real time, and makes a reasonable oil extraction working system, realizes stable oil and water control, improves crude oil recovery efficiency and life cycle of instruments and equipment, and realizes production optimization.
The foregoing is a further detailed description of the invention in connection with the preferred embodiments, and it is not intended that the invention be limited to the specific embodiments described. It will be apparent to those skilled in the art that several simple deductions or substitutions may be made without departing from the spirit of the invention, and these should be considered to be within the scope of the invention.
Claims (7)
1. An intelligent calibration self-checking method for an oil well is characterized by comprising the following steps:
acquiring underground measurement data and ground measurement data in real time;
monitoring the running state and the oil collecting condition of oil extraction equipment based on the underground measurement data and the ground measurement data;
calibrating and optimizing the operation parameters of the oil extraction equipment according to the operation state of the oil extraction equipment and the oil collection condition;
calibrating and optimizing the operation parameters of the oil extraction equipment according to the operation state of the oil extraction equipment and the oil collection condition, wherein the method comprises the following steps:
calibrating and adjusting ground power supply voltage of each oil layer regulator according to cable head voltage, motor voltage, working current and working temperature of the regulator;
controlling the opening of the oil nozzle of each yield regulator based on the output and the water content of the collected oil liquid;
based on underground measurement data and ground measurement data acquired in real time, analyzing, comparing and modeling the data, and formulating a reasonable oil extraction working system;
further, based on the underground measurement data and the ground measurement data acquired in real time, analyzing, comparing and modeling the data, and formulating a reasonable oil extraction working system, comprising:
according to the total liquid yield and the water content of the wellhead of the oil well, and parameters of each layered liquid yield and the water content under the well, which are acquired in real time, a deep learning neural network is established through big data analysis; all parameters are tied to the neural network;
searching rules from massive numerical parameters, establishing a high-dimensional nonlinear numerical model, and predicting future oil well pressure and yield through a big data simulator so as to adjust production decisions;
acquiring downhole measurement data and surface measurement data in real time, comprising:
acquiring relevant parameters of each oil layer in real time through a production allocator positioned in each underground oil layer, wherein the relevant parameters of each oil layer comprise the flow rate and the water content of the acquired oil liquid, the pressure in an oil pipe, the annular pressure and the temperature of an oil sleeve, the opening degree of an oil nozzle, and the cable head voltage, the motor voltage, the working current and the working temperature of each production allocator of each oil layer;
acquiring the output and the water content of the collected oil liquid in real time through a ground measuring unit, wherein the ground measuring unit comprises a mass flowmeter;
the oil well intelligent calibration self-checking device for executing the oil well intelligent calibration self-checking method comprises the following steps: jet separator (1), gas flow channel (2), liquid flow channel (3), ground control unit (4), mass flowmeter (5), liquid inlet pipe (6) and liquid outlet pipe (7), wherein,
the liquid inlet pipe (6) is connected to the jet separator (1), and the jet separator (1) is used for carrying out gas-liquid separation on oil well produced liquid;
the first end of the gas flow channel (2) is connected to the jet separator (1) and is used for conveying separated gas, and the first end of the liquid flow channel (3) is connected to the jet separator (1) and is used for conveying separated liquid;
the mass flowmeter (5) is arranged on the liquid flow channel (3) and is used for measuring the liquid yield and the water content of an oil well;
the ground control unit (4) is respectively connected with the plurality of underground production distributors (11) and the mass flowmeter (5) and is used for acquiring measured values of the plurality of underground production distributors (11) and the mass flowmeter (5) and performing self-checking and parameter optimization according to the measured values.
2. The method of claim 1, wherein monitoring the operational status and oil collection of the oil recovery device based on the downhole measurement data and the surface measurement data comprises:
transmitting the downhole measurement data and the surface measurement data to a surface control unit;
the ground control unit judges whether the operation of the production allocation device is normal or not according to the underground measurement data, if so, the operation is continued, if not, the working parameters and the operation state of the production allocation device are analyzed and modeled, and the working parameters of the production allocation device are optimized;
and the ground control unit judges whether the oil extraction rate of the oil well is normal according to the ground measurement data, if so, the operation is continued, and if not, the working parameters of the oil extraction equipment are adjusted.
3. The method of intelligent calibration self-test for an oil well of claim 2, further comprising:
only opening the oil nozzle of one of the oil layer production allocation devices, and closing the oil nozzles of the other layer production allocation devices;
acquiring the current yield and the current water content of the collected oil liquid through a ground measurement unit;
and correcting the working parameters of the current yield regulator according to the current yield and the current water content.
4. The oil well intelligent calibration self-checking method according to claim 1, wherein the second end of the gas flow channel (2) and the second end of the liquid flow channel (3) are converged together and are communicated with the liquid outlet pipe (7).
5. The oil well intelligent calibration self-checking method according to claim 4, wherein the liquid inlet pipe (6) and the liquid outlet pipe (7) are respectively provided with a switch valve (10) for controlling the flow of liquid.
6. The oil well intelligent calibration self-test method according to claim 5, wherein one end of the liquid inlet pipe (6) is connected to the plurality of downhole production distributors (11) through a christmas tree pipeline (14), and the other end is connected to the middle part of the jet separator (1).
7. The oil well intelligent calibration self-test method according to claim 4, wherein the surface control unit (4) is connected to the plurality of downhole production distributors (11) through a single cable (12) for bi-directional communication with the plurality of downhole production distributors (11).
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| CN113378480B (en) * | 2021-07-02 | 2022-04-15 | 中国石油大学(华东) | Method and system for maintaining underwater Christmas tree according to situations based on residual service life prediction |
| CN114673476A (en) * | 2022-04-22 | 2022-06-28 | 托普威尔石油技术股份公司 | Unconventional gas well intelligent pressure control system and method |
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