CN113958287B - Oil well pipeline blockage removing method, equipment and medium based on artificial intelligence - Google Patents
Oil well pipeline blockage removing method, equipment and medium based on artificial intelligence Download PDFInfo
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- 238000003062 neural network model Methods 0.000 claims abstract description 19
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- 238000004939 coking Methods 0.000 abstract 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
- E21B37/00—Methods or apparatus for cleaning 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
- E21B31/00—Fishing for or freeing objects in boreholes or wells
- E21B31/005—Fishing for or freeing objects in boreholes or wells using vibrating or oscillating means
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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
- E21B31/00—Fishing for or freeing objects in boreholes or wells
- E21B31/03—Freeing by flushing
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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
- E21B36/00—Heating, cooling or insulating arrangements for boreholes or wells, e.g. for use in permafrost zones
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- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B36/00—Heating, cooling or insulating arrangements for boreholes or wells, e.g. for use in permafrost zones
- E21B36/008—Heating, cooling or insulating arrangements for boreholes or wells, e.g. for use in permafrost zones using chemical heat generating means
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- E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B37/00—Methods or apparatus for cleaning boreholes or wells
- E21B37/06—Methods or apparatus for cleaning boreholes or wells using chemical means for preventing or limiting, e.g. eliminating, the deposition of paraffins or like substances
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- 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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Abstract
The application discloses a blockage removing method, equipment and medium for oil well pipeline blockage based on artificial intelligence, belongs to the technical field of petroleum, coal gas and coking industry, and aims to solve the technical problems that the existing blockage removing method is single and low in efficiency. The method comprises the following steps that vibration signals of an oil well pipeline are obtained through at least one vibration sensor; generating a corresponding vibration signal curve according to the vibration signal; determining the blockage degree of the oil well pipeline according to the variation amplitude of the vibration signal curve, and respectively determining corresponding blockage removal methods; detecting the time of interference signals at two ends of at least one optical fiber sensor, and determining the specific position of the oil well pipeline blockage; taking the vibration signal curve and the specific position of the oil well pipeline blockage as training samples to train a neural network model; inputting the vibration signal curve into the trained neural network model to obtain the specific position corresponding to the oil well pipeline blockage; and (3) based on the specific position of the blockage of the oil well pipeline and the blockage removal method corresponding to the blockage degree, the blockage removal of the oil well pipeline is realized.
Description
Technical Field
The application relates to the technical field of petroleum, gas and coking industry, in particular to a blockage removing method, equipment and medium for oil well pipeline blockage based on artificial intelligence.
Background
Pipeline transportation plays an increasingly important role in national economy, national defense industrial production and daily life of people. In the production process of an oil field, the surface of a stratum, an oil well pipeline and a pipeline is scaled due to pressure and temperature change or incompatible water phase fusion, and the production of crude oil is influenced.
As crude oil is transported from the underground to the surface, the temperature of the crude oil in the well pipe gradually drops. When the temperature of the crude oil is low to a certain degree, the impurities such as colloid, asphaltene and the like contained in the crude oil are gradually separated out and wax is deposited and adsorbed on an oil well pipeline. Therefore, the effective oil conveying pipe diameter is reduced, the pipeline conveying capacity is reduced, the oil production of an oil well is reduced, the oil well pipeline which is scaled can be corroded after the oil well is not treated for a long time, and crude oil can lose fluidity when the oil well is serious, so that a pipe coagulation accident is caused, the production cost is increased, and the production safety is influenced.
Disclosure of Invention
The embodiment of the application provides a blockage removing method, equipment and medium for oil well pipeline blockage based on artificial intelligence, and aims to solve the technical problems that the existing blockage removing method for oil well pipeline blockage is single and blockage removing efficiency is low.
In one aspect, an embodiment of the present application provides a method for removing blocked oil well pipe based on artificial intelligence, including: acquiring a vibration signal of the oil well pipeline through at least one vibration sensor based on a preset time interval; the vibration sensor is arranged on the outer side of the pipe wall of the oil well pipeline; generating a corresponding vibration signal curve according to the vibration signal; determining the blockage degree of the oil well pipeline according to the variation amplitude of the vibration signal curve; respectively determining blockage removal methods corresponding to the blockage degrees based on the blockage degrees of the oil well pipelines; the deblocking method comprises a high-pressure water jet deblocking method and a thermochemical deblocking method, wherein the thermochemical deblocking method is a combination of a thermal deblocking method and a chemical deblocking method; under the condition that the blockage degree of the oil well pipeline is at a preset level, detecting the time of interference signals at two ends of at least one optical fiber sensor through a photoelectric detector to determine the specific blockage position of the oil well pipeline; the optical fiber sensor is arranged on the outer side of the pipe wall of the oil well pipeline, and the photoelectric detectors are arranged at two ends of the optical fiber sensor; taking the vibration signal curve and the determined specific position of the oil well pipeline blockage as training samples to train a neural network model; inputting the vibration signal curve into a trained neural network model under the condition that the vibration signal curve fluctuates so as to obtain the specific position of the vibration signal curve corresponding to the blockage of the oil well pipeline; and based on the specific position of the blockage of the oil well pipeline and the blockage removal method corresponding to the blockage degree, the blockage removal of the oil well pipeline is realized.
In an implementation manner of the present application, the time of occurrence of interference signals at two ends of at least one optical fiber sensor is detected by a photodetector, and a specific location of the oil well pipe blockage is determined, which specifically includes: respectively detecting the time of the change of interference signals at two ends of at least one optical fiber sensor through two photoelectric detectors so as to determine the difference of the time of the change of the interference signals; the interference signals are two groups of light waves with opposite propagation directions in the optical fiber and are generated at two ends of the at least one optical fiber sensor; and determining the specific position of the oil well pipeline blockage according to the time difference of the interference signals, the length of the oil well pipeline and the propagation speed of the light wave in the optical fiber.
In one implementation manner of the present application, the method further includes: determining the standard oil inlet amount when the oil inlet is not blocked according to the distance between the oil inlet of the oil well pipeline and the ground, the pressure value at the oil inlet and the diameter of the oil inlet; acquiring the oil inlet amount of the oil inlet at the current moment through a liquid flowmeter; and under the condition that the oil inlet amount at the current moment is smaller than the standard oil inlet amount, determining that the oil inlet of the oil well pipeline is blocked.
In one implementation of the present application, after determining that the oil inlet of the oil well pipe is blocked, the method further includes: based on an acidification blockage removal method, putting a high-efficiency active agent on the sediment of the oil inlet so as to dissolve the sediment of the oil inlet; generating shock waves through a hydraulic vibrator so that sediments of the oil inlet are transmitted to the ground along with the shock waves; the hydraulic vibrator is arranged at an oil inlet of the oil well pipeline.
In one implementation manner of the present application, the method further includes: according to the variation amplitude of the vibration signal curve, determining the blockage degree of the oil well pipeline, and specifically comprising the following steps: determining a standard wave peak value and a standard wave valley value of a vibration signal curve when the oil well pipeline is not blocked; calculating a peak difference value according to the peak value of the vibration signal curve and the standard peak value; calculating a trough difference value according to the trough value of the vibration signal curve and the standard trough value; determining the blockage degree of the oil well pipeline as first-level blockage under the condition that the peak difference value and/or the trough difference value are/is smaller than a first preset threshold value; determining the blockage degree of the oil well pipeline as secondary blockage under the condition that the peak difference value and/or the trough difference value are/is larger than the first preset threshold value and smaller than a second preset threshold value; and determining the blockage degree of the oil well pipeline to be three-level blockage under the condition that the peak difference value and/or the trough difference value are/is larger than the second preset threshold value.
In an implementation manner of the present application, based on a specific location where the oil well pipeline is blocked, the unblocking of the oil well pipeline according to the unblocking method corresponding to the blocking degree specifically includes: based on the specific position of the oil well pipeline blockage, under the condition that the blockage degree of the oil well pipeline is secondary blockage, according to a high-pressure water jet blockage removing method, the sediment on the pipe wall of the oil well pipeline is flushed by high-pressure water jet so that the sediment falls off from the pipe wall of the oil well pipeline; based on the specific position of the blockage of the oil well pipeline, under the condition that the blockage degree of the oil well pipeline is three-stage blockage, flushing and soaking sediments on the wall of the oil well pipeline through an organic chemical solvent according to a thermochemical blockage removal method; and injecting hot oil into the sediments on the pipe wall of the oil well pipeline after a preset time interval so as to enable the sediments to fall off from the pipe wall of the oil well pipeline.
In an implementation manner of the present application, after the plugging removal of the oil well pipeline according to the plugging removal method corresponding to the plugging degree, the method further includes: determining a standard thickness of the oil well pipe when unplugged based on at least one ultrasonic sensor; the ultrasonic sensor is arranged on the outer side of the pipe wall of the oil well pipeline; acquiring thickness information of the unblocked oil well pipeline through the at least one ultrasonic sensor; and comparing the thickness information of the oil well pipeline after the blockage removal with the standard thickness of the oil well pipeline, and determining whether the blockage position of the oil well pipeline is blocked or not.
On the other hand, this application embodiment still provides unblock equipment that oil well pipeline blockked up based on artificial intelligence, and equipment includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to: acquiring a vibration signal of the oil well pipeline through at least one vibration sensor based on a preset time interval; the vibration sensor is arranged on the outer side of the pipe wall of the oil well pipeline; generating a corresponding vibration signal curve according to the vibration signal; determining the blockage degree of the oil well pipeline according to the variation amplitude of the vibration signal curve; respectively determining blockage removal methods corresponding to the blockage degrees based on the blockage degrees of the oil well pipelines; the deblocking method comprises a high-pressure water jet deblocking method and a thermochemical deblocking method, wherein the thermochemical deblocking method is a combination of a thermal deblocking method and a chemical deblocking method; under the condition that the blockage degree of the oil well pipeline is at a preset level, detecting the time of interference signals at two ends of at least one optical fiber sensor through a photoelectric detector to determine the specific blockage position of the oil well pipeline; the optical fiber sensor is arranged on the outer side of the pipe wall of the oil well pipeline, and the photoelectric detectors are arranged at two ends of the optical fiber sensor; taking the vibration signal curve and the determined specific position of the oil well pipeline blockage as training samples to train a neural network model; inputting the vibration signal curve into a trained neural network model under the condition that the vibration signal curve fluctuates so as to obtain the specific position of the vibration signal curve corresponding to the blockage of the oil well pipeline; and based on the specific position of the blockage of the oil well pipeline and the blockage removal method corresponding to the blockage degree, the blockage removal of the oil well pipeline is realized.
In one implementation of the present application, the processor is further capable of: respectively detecting the time of the change of interference signals at two ends of at least one optical fiber sensor through two photoelectric detectors so as to determine the difference of the time of the change of the interference signals; the interference signals are two groups of light waves with opposite propagation directions in the optical fiber and are generated at two ends of the at least one optical fiber sensor; and determining the specific position of the oil well pipeline blockage according to the time difference of the interference signals, the length of the oil well pipeline and the propagation speed of the light wave in the optical fiber.
On the other hand, the embodiment of the present application further provides a non-volatile computer storage medium for removing a blockage of an oil well pipeline based on artificial intelligence, which stores computer executable instructions, wherein the computer executable instructions are configured to: acquiring a vibration signal of the oil well pipeline through at least one vibration sensor based on a preset time interval; the vibration sensor is arranged on the outer side of the pipe wall of the oil well pipeline; generating a corresponding vibration signal curve according to the vibration signal; determining the blockage degree of the oil well pipeline according to the variation amplitude of the vibration signal curve; respectively determining blockage removal methods corresponding to the blockage degrees based on the blockage degrees of the oil well pipelines; the deblocking method comprises a high-pressure water jet deblocking method and a thermochemical deblocking method, wherein the thermochemical deblocking method is a combination of a thermal deblocking method and a chemical deblocking method; under the condition that the blockage degree of the oil well pipeline is at a preset level, detecting the time of interference signals at two ends of at least one optical fiber sensor through a photoelectric detector to determine the specific blockage position of the oil well pipeline; the optical fiber sensor is arranged on the outer side of the pipe wall of the oil well pipeline, and the photoelectric detectors are arranged at two ends of the optical fiber sensor; taking the vibration signal curve and the determined specific position of the oil well pipeline blockage as training samples to train a neural network model; inputting the vibration signal curve into a trained neural network model under the condition that the vibration signal curve fluctuates so as to obtain the specific position of the vibration signal curve corresponding to the blockage of the oil well pipeline; and based on the specific position of the blockage of the oil well pipeline and the blockage removal method corresponding to the blockage degree, the blockage removal of the oil well pipeline is realized.
The embodiment of the application provides a blockage removing method, equipment and medium for oil well pipeline blockage based on artificial intelligence, and the method at least comprises the following beneficial effects: vibration signals of the oil well pipeline during oil conveying are obtained through the vibration sensor so as to generate a corresponding vibration signal curve, and the blockage degree of the oil well pipeline is determined according to the vibration signals, so that the real-time monitoring of the blockage of the oil well pipeline is realized; the blockage of the oil well pipeline can be known in time through monitoring, so that different blockage removal methods are selected according to the blockage degree to remove the blockage of the oil well pipeline, the blockage removal methods are consistent with the actual situation of blockage, and unnecessary cost is avoided; the time of interference signals at the two ends of the optical fiber sensor is detected through the photoelectric detector, and the specific position of the oil well pipeline blockage is determined according to the time, so that the precise positioning of the blockage is realized; training a neural network model through a vibration signal curve and the determined specific position of the oil well pipeline blockage so as to obtain the specific position of the oil well blockage more quickly and accurately in the follow-up process; the oil well pipeline can be timely and accurately unblocked through the specific position of the blockage and the blockage unblocking method corresponding to the blockage, so that the normal work of the oil well pipeline is ensured, and the blockage unblocking efficiency is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
FIG. 1 is a flow chart of a method for removing a blockage of an oil well pipeline based on artificial intelligence provided by an embodiment of the present application;
fig. 2 is an internal structural schematic diagram of a blockage relieving device for oil well pipeline blockage based on artificial intelligence provided by the embodiment of the application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The embodiment of the application provides a blockage removing method, equipment and medium for oil well pipeline blockage based on artificial intelligence, wherein a vibration signal of an oil well pipeline during oil conveying is obtained through a vibration sensor to generate a corresponding vibration signal curve, and the blockage degree of the oil well pipeline is determined according to the vibration signal curve; and determining a corresponding blockage removing method according to the blockage degree, and detecting the time of interference signals at two ends of the optical fiber sensor through a photoelectric detector, so as to determine the specific position of the blockage of the oil well pipeline, thereby removing the blockage of the oil well pipeline according to the blockage removing method corresponding to the blockage degree of the oil well pipeline and the specific position of the blockage. The technical problems that the existing blockage removing method for oil well pipeline blockage is single and the blockage removing efficiency is low are solved.
The technical solutions proposed in the embodiments of the present application are described in detail below with reference to the accompanying drawings.
Fig. 1 is a flowchart of an artificial intelligence-based method for removing a blockage in an oil well pipeline according to an embodiment of the present disclosure. As shown in fig. 1, the method for removing a blockage of an oil well pipeline based on artificial intelligence provided by the embodiment of the present application may mainly include the following steps:
101: and the server acquires a vibration signal of the oil well pipeline through at least one vibration sensor based on a preset time interval.
The server is provided with at least one vibration sensor on the outer side of the pipeline wall of the oil well pipeline, and the server acquires vibration signals of all sections of the oil well pipeline through the at least one vibration sensor according to a preset time interval.
Specifically, when the oil well pipeline is put into use for oil transportation, vibration signals obtained by the vibration sensor on the pipe wall of the oil well pipeline are uniform. However, as the oil is transported from the underground to the ground, the temperature of the oil in the oil well pipeline gradually decreases, and impurities such as colloid, asphaltene and the like in the oil gradually precipitate crystals or wax, and are adsorbed on the pipe wall of the oil well pipeline to form the blockage of the oil well pipeline. And part of crystals or wax not adsorbed on the pipe wall of the oil well pipeline can be continuously conveyed upwards along with the oil and collide with the pipe wall of the oil well pipeline in the conveying process, so that the signals acquired by the vibration sensor are changed.
It should be noted that the server is used as an execution subject of the present application, and is only an exemplary existence, and the execution subject of the method provided by the embodiment of the present application is not limited to the server only.
102: the server generates a corresponding vibration signal curve according to the vibration signal; and determining the blockage degree of the oil well pipeline according to the variation amplitude of the vibration signal curve.
The server generates a corresponding vibration signal curve according to the vibration signal of the oil well pipeline, so that the blockage degree of the oil well pipeline is analyzed more visually. The server determines the vibration amplitude of the oil well pipeline at different moments through the vibration signal curve of the oil well pipeline, and accordingly determines the blockage degree of the oil well pipeline.
Specifically, the vibration signal curve comprises a plurality of wave crests and wave troughs, and the blockage condition of the oil well pipeline at the current time can be judged according to the vibration amplitudes of the wave crests and the wave troughs. And the server determines the standard wave peak value and the standard wave valley value of the oil well pipeline according to the wave peak and the wave valley when the oil well pipeline is not blocked in the vibration signal curve. Therefore, the server can calculate a peak difference value according to the peak value of the vibration signal curve at the current moment and the standard peak value of the oil well pipeline; according to the wave valley value of the vibration signal curve at the current moment and the standard wave valley value of the oil well pipeline, the wave trough difference value can be calculated, and therefore the blocking condition of the oil well pipeline is specifically judged according to the wave peak difference value and the wave trough difference value.
Under the condition that the wave crest difference value and/or the wave trough difference value are/is smaller than a first preset threshold value, the fact that sediment adsorption begins to exist on the pipe wall of the oil well pipeline is shown, the influence of blockage on the oil well pipeline can be ignored at the moment, in this case, blockage removal measures are not taken on the oil well pipeline, and the blockage degree of the oil well pipeline is first-level blockage at the moment. For example: the first preset threshold may be 20, 25 or 30. The specific value of the first preset threshold may be configured according to an actual situation, which is not limited in this application.
It should be noted that the first predetermined threshold in the embodiment of the present application represents the maximum threshold value in case of normal blockage of the oil well pipe.
And under the condition that the wave crest difference value and/or the wave trough difference value are larger than a first preset threshold value and smaller than a second preset threshold value, the sediment on the pipe wall of the oil well pipeline reaches the degree of influencing the oil transportation, and at the moment, a blockage removing measure needs to be taken. Under the condition, the time for forming the deposit on the pipe wall of the oil well pipeline is short, the deposit is less, the blockage removal of the oil well pipeline can be realized by a simple blockage removal method, and the blockage degree of the oil well pipeline is secondary blockage. Thus, the cost waste caused by excessive blockage removal can be avoided. For example: the second preset threshold may be 50, 55 or 60. The specific data of the second preset threshold may be configured according to actual situations, which is not limited in the embodiments of the present application.
It should be noted that the second preset threshold in the embodiment of the present application represents a minimum threshold value in the case of abnormal blockage of the oil well pipe.
Under the condition that the peak difference value and/or the trough difference value are/is larger than a second preset threshold value, the fact that the deposit on the pipe wall of the oil well pipeline has a very serious influence on oil transportation is shown, if the deposit is not cleaned and blocked in time, a pipe condensation accident can be caused, the oil well pipeline is stopped to transport, and the normal production of an oil field is influenced. In this case, the oil well pipeline has a large amount of sediments on the pipe wall, the accumulation time is long, the oil well pipeline needs to be unplugged by a composite unplugging method, and the plugging degree of the oil well pipeline is three-level plugging.
103: and the server respectively determines the blockage removal methods corresponding to the blockage degrees based on the blockage degrees of the oil well pipelines.
And the server determines a blockage removal method corresponding to the blockage degree according to the blockage degree of the oil well pipeline. The deblocking method comprises a high-pressure water jet deblocking method and a thermochemical deblocking method, wherein the thermochemical deblocking method is a deblocking method combining a thermal deblocking method and a chemical deblocking method.
Specifically, under the condition that the oil well pipeline is blocked secondarily, the time for forming the sediment is short, the sediment is less, the blockage removal of the oil well pipeline can be realized by a simple blockage removal method, and accordingly the blockage removal method for the secondarily blocked oil well pipeline is determined to be a high-pressure water jet blockage removal method. Under the condition that the oil well pipeline is blocked in a third stage, the deposits are very many, the accumulation time is long, and the oil well pipeline needs to be unblocked by a composite unblocking method, so that the unblocking method for the oil well pipeline blocked in the third stage is determined to be a thermochemical unblocking method combining a thermal unblocking method and a chemical unblocking method.
104: and the server detects the time of interference signals at two ends of at least one optical fiber sensor through a photoelectric detector under the condition that the blockage degree of the oil well pipeline is at a preset level so as to determine the specific position of the blockage of the oil well pipeline.
When the oil well pipeline is blocked, acting force is applied to the optical fiber sensor on the outer side of the pipe wall of the oil well pipeline. And under the condition that the blockage degree of the oil well pipeline is at a preset level, the server detects the occurrence time of interference signals at two ends of at least one optical fiber sensor through the photoelectric detector, and determines the specific position of the blockage of the oil well pipeline according to the occurrence time.
Specifically, two sets of light waves propagating in opposite directions in the optical fiber generate interference signals at two ends of at least one optical fiber sensor. The server respectively detects the time of the interference signals at the two ends of at least one optical fiber sensor through two photoelectric detectors, and determines the time difference of the change of the interference signals at the two ends according to the time difference. And the server determines the specific position of the oil well pipeline according to the time difference of the interference signals at the two ends, the length of the oil well pipeline and the propagation speed of the light wave in the optical fiber.
105: and taking the vibration signal curve and the determined specific position of the oil well pipeline blockage as training samples to train a neural network model.
The server takes the vibration signal curve of the oil well pipeline at the current moment and the determined specific position of the oil well pipeline blockage as training samples to train a neural network model so as to conveniently and rapidly and accurately obtain the specific position of the oil well pipeline blockage subsequently, and therefore the blockage removing efficiency is improved.
106: and under the condition that the vibration signal curve fluctuates, inputting the vibration signal curve into a trained neural network model to obtain the specific position of the vibration signal curve corresponding to the blockage of the oil well pipeline.
Under the condition that the vibration signal curve of the oil well pipeline fluctuates, the server inputs the vibration signal curve into the trained neural network model, so that the specific position of the current vibration signal curve corresponding to the blockage of the oil well pipeline is obtained, and the specific position of the blockage of the oil well pipeline is quickly and accurately obtained.
107: and the server realizes the blockage removal of the oil well pipeline based on the specific position of the blockage of the oil well pipeline and the blockage removal method corresponding to the blockage degree.
And the server carries out blockage removal on the oil well pipeline at the determined specific blockage position according to the blockage removal method corresponding to the blockage degree.
Specifically, under the condition that the blockage degree of the oil well pipeline is secondary blockage, the server flushes the sediments on the pipe wall of the oil well pipeline at the blockage position through high-pressure water jet according to a high-pressure water jet blockage removal method so as to enable the sediments to fall off from the pipe wall of the oil well pipeline. Under the condition that the blockage degree of the oil well pipeline is three-stage blockage, the server washes and soaks sediments on the pipe wall of the oil well pipeline at the blockage position through an organic chemical solvent according to a thermochemical blockage removal method; and the interval is preset time quantum, let the deposit on the pipe wall of oil well pipeline of organic chemical solvent fully dissolved, then pour into the hot oil to the deposit of jam position, accelerate the dissolution of deposit, and wash the deposit from the pipe wall of oil well pipeline.
In one embodiment of the present application, the wall of the well pipe is provided with at least one oil inlet, through which oil enters the well pipe for transportation from underground to ground. And a liquid flowmeter is arranged at the oil inlet and used for detecting the oil inlet amount of the oil inlet. And the server determines the standard oil inlet amount when the oil inlet is not blocked according to the distance between the oil inlet of the oil well pipeline and the ground, the pressure value at the oil inlet and the diameter of the oil inlet. The server obtains the oil inlet amount of the oil inlet at the current moment through the liquid flowmeter, and judges whether the oil inlet is blocked or not by comparing the oil inlet amount at the current moment with the standard oil inlet amount. And under the condition that the oil inlet amount at the current moment is smaller than the standard oil inlet amount, determining that the oil inlet of the oil well pipeline is blocked. This application can confirm through above-mentioned method that the oil well pipeline blocks up specifically that the pipe wall blocks up or the oil inlet blocks up, has avoided when the oil inlet blocks up, still confirms the concrete position of oil well pipeline through complicated mode, has saved manpower and materials, and then has improved the efficiency of unblocking.
In one embodiment of the application, a hydraulic vibrator is arranged at an oil inlet of the oil well pipe. After the oil inlet of the oil well pipeline is determined to be blocked, the server puts the high-efficiency active agent on the sediment of the oil inlet by an acidification blocking removal method so as to fully dissolve the sediment of the oil inlet; then, shock waves are generated through a hydraulic vibrator, and dissolved sediments are transmitted to the ground along with the shock waves, so that the blockage of the oil inlet is removed. The blockage principle of the sediment at the oil inlet is not that the temperature is reduced, and impurities are separated out and crystallized or wax is deposited, so the blockage removing method for the blockage of the oil well pipeline wall has poor blockage removing effect on the blockage of the oil inlet, and the blockage removing method combining the acidification blockage removing method and the hydraulic shock wave blockage removing method is more suitable for the blockage removal of the oil inlet, so that the sediment at the oil inlet is cleaned more thoroughly.
In one embodiment of the present application, the server sets an ultrasonic sensor outside a pipe wall of the oil well pipe for detecting a thickness of the pipe wall of the oil well pipe. After the server unblocks the oil well pipeline according to the unblocking method corresponding to the blocking degree, the server determines the standard thickness of the oil well pipeline when the oil well pipeline is not blocked through at least one ultrasonic sensor, and then obtains the thickness information of the unblocked oil well pipeline through at least one ultrasonic sensor. The server compares the thickness information of the oil well pipeline after the blockage removal with the standard thickness of the oil well pipeline and determines whether the blockage position of the oil well pipeline is blocked or not, so that the complete blockage removal of the oil well pipeline is ensured, and the situations of incomplete blockage removal, omission and the like are avoided.
The embodiment of the application provides a blockage removing method, equipment and medium for oil well pipeline blockage based on artificial intelligence, wherein a vibration signal generated when an oil well pipeline is conveyed with oil is obtained through a vibration sensor to generate a corresponding vibration signal curve, the blockage degree of the oil well pipeline is determined according to the vibration signal curve, and real-time monitoring on oil well pipeline blockage is realized; the blockage of the oil well pipeline can be known in time through monitoring, so that different blockage removal methods are selected according to the blockage degree to remove the blockage of the oil well pipeline, the blockage removal methods are consistent with the actual situation of blockage, and unnecessary cost is avoided; the time of interference signals at the two ends of the optical fiber sensor is detected through the photoelectric detector, and the specific position of the oil well pipeline blockage is determined according to the time, so that the precise positioning of the blockage is realized; the oil well pipeline can be timely and accurately unblocked through the specific position of the blockage and the blockage unblocking method corresponding to the blockage, so that the normal work of the oil well pipeline is ensured, and the blockage unblocking efficiency is improved.
The above is the method embodiment proposed by the present application. Based on the same inventive concept, the embodiment of the application also provides blockage removing equipment and medium for oil well pipeline blockage based on artificial intelligence.
Fig. 2 is an internal structural schematic diagram of a blockage relieving device for oil well pipeline blockage based on artificial intelligence provided by the embodiment of the application. As shown in fig. 2, the apparatus comprises at least one processor 201; and a memory 202 communicatively coupled to the at least one processor 201; wherein the memory 202 stores instructions executable by the at least one processor 201, the instructions being executable by the at least one processor 201 to enable the at least one processor 201 to: acquiring a vibration signal of the oil well pipeline through at least one vibration sensor based on a preset time interval; wherein, the vibration sensor is arranged outside the pipe wall of the oil well pipeline; generating a corresponding vibration signal curve according to the vibration signal; determining the blockage degree of the oil well pipeline according to the variation amplitude of the vibration signal curve; respectively determining blockage removal methods corresponding to the blockage degrees based on the blockage degrees of the oil well pipelines; the blocking removal method comprises a high-pressure water jet blocking removal method and a thermochemical blocking removal method, wherein the thermochemical blocking removal method is characterized in that the thermal blocking removal method is combined with the chemical blocking removal method; under the condition that the blockage degree of the oil well pipeline is at a preset level, detecting the time of interference signals at two ends of at least one optical fiber sensor through a photoelectric detector to determine the specific position of the blockage of the oil well pipeline; the optical fiber sensor is arranged on the outer side of the pipe wall of the oil well pipeline, and the photoelectric detectors are arranged at two ends of the optical fiber sensor; taking the vibration signal curve and the determined specific position of the oil well pipeline blockage as training samples to train a neural network model; inputting the vibration signal curve into the trained neural network model under the condition that the vibration signal curve fluctuates to obtain the specific position of the vibration signal curve corresponding to the blockage of the oil well pipeline; and (3) based on the specific position of the blockage of the oil well pipeline and the blockage removal method corresponding to the blockage degree, the blockage removal of the oil well pipeline is realized.
The embodiment of the application also provides a non-volatile computer storage medium for removing the blockage of the oil well pipeline based on artificial intelligence, and computer executable instructions are stored and set as follows: acquiring a vibration signal of the oil well pipeline through at least one vibration sensor based on a preset time interval; wherein, the vibration sensor is arranged outside the pipe wall of the oil well pipeline; generating a corresponding vibration signal curve according to the vibration signal; determining the blockage degree of the oil well pipeline according to the variation amplitude of the vibration signal curve; respectively determining blockage removal methods corresponding to the blockage degrees based on the blockage degrees of the oil well pipelines; the blocking removal method comprises a high-pressure water jet blocking removal method and a thermochemical blocking removal method, wherein the thermochemical blocking removal method is characterized in that the thermal blocking removal method is combined with the chemical blocking removal method; under the condition that the blockage degree of the oil well pipeline is at a preset level, detecting the time of interference signals at two ends of at least one optical fiber sensor through a photoelectric detector to determine the specific position of the blockage of the oil well pipeline; the optical fiber sensor is arranged on the outer side of the pipe wall of the oil well pipeline, and the photoelectric detectors are arranged at two ends of the optical fiber sensor; taking the vibration signal curve and the determined specific position of the oil well pipeline blockage as training samples to train a neural network model; inputting the vibration signal curve into the trained neural network model under the condition that the vibration signal curve fluctuates to obtain the specific position of the vibration signal curve corresponding to the blockage of the oil well pipeline; and (3) based on the specific position of the blockage of the oil well pipeline and the blockage removal method corresponding to the blockage degree, the blockage removal of the oil well pipeline is realized.
The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the device and media embodiments, the description is relatively simple as it is substantially similar to the method embodiments, and reference may be made to some descriptions of the method embodiments for relevant points.
The device and the medium provided by the embodiment of the application correspond to the method one to one, so the device and the medium also have the similar beneficial technical effects as the corresponding method, and the beneficial technical effects of the method are explained in detail above, so the beneficial technical effects of the device and the medium are not repeated herein.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (5)
1. An oil well pipeline blockage removing method based on artificial intelligence is characterized by comprising the following steps:
acquiring a vibration signal of the oil well pipeline through at least one vibration sensor based on a preset time interval; the vibration sensor is arranged on the outer side of the pipe wall of the oil well pipeline;
generating a corresponding vibration signal curve according to the vibration signal; determining the blockage degree of the oil well pipeline according to the variation amplitude of the vibration signal curve;
respectively determining blockage removal methods corresponding to the blockage degrees based on the blockage degrees of the oil well pipelines; the deblocking method comprises a high-pressure water jet deblocking method and a thermochemical deblocking method, wherein the thermochemical deblocking method is a combination of a thermal deblocking method and a chemical deblocking method;
under the condition that the blockage degree of the oil well pipeline is at a preset level, detecting the time of interference signals at two ends of at least one optical fiber sensor through a photoelectric detector to determine the specific blockage position of the oil well pipeline; the optical fiber sensor is arranged on the outer side of the pipe wall of the oil well pipeline, and the photoelectric detectors are arranged at two ends of the optical fiber sensor;
taking the vibration signal curve and the determined specific position of the oil well pipeline blockage as training samples to train a neural network model;
inputting the vibration signal curve into a trained neural network model under the condition that the vibration signal curve fluctuates so as to obtain the specific position of the vibration signal curve corresponding to the blockage of the oil well pipeline;
based on the specific position of the blockage of the oil well pipeline and the blockage removal method corresponding to the blockage degree, the blockage removal of the oil well pipeline is realized;
the method comprises the following steps of detecting the time of interference signals at two ends of at least one optical fiber sensor through a photoelectric detector, determining the specific position of the blockage of the oil well pipeline, and specifically comprising the following steps:
respectively detecting the time of the change of interference signals at two ends of at least one optical fiber sensor through two photoelectric detectors so as to determine the difference of the time of the change of the interference signals; the interference signals are two groups of light waves with opposite propagation directions in the optical fiber and are generated at two ends of the at least one optical fiber sensor;
determining the specific position of the oil well pipeline blockage according to the time difference of the interference signals, the length of the oil well pipeline and the propagation speed of the light wave in the optical fiber;
according to the variation amplitude of the vibration signal curve, determining the blockage degree of the oil well pipeline, and specifically comprising the following steps:
determining a standard wave peak value and a standard wave valley value of a vibration signal curve when the oil well pipeline is not blocked;
calculating a peak difference value according to the peak value of the vibration signal curve and the standard peak value; calculating a trough difference value according to the trough value of the vibration signal curve and the standard trough value;
determining the blockage degree of the oil well pipeline as first-level blockage under the condition that the peak difference value and/or the trough difference value are/is smaller than a first preset threshold value;
determining the blockage degree of the oil well pipeline as secondary blockage under the condition that the peak difference value and/or the trough difference value are/is larger than the first preset threshold value and smaller than a second preset threshold value;
determining the blockage degree of the oil well pipeline to be three-level blockage under the condition that the peak difference value and/or the trough difference value are/is larger than the second preset threshold value;
based on the specific position of the blockage of the oil well pipeline, the blockage removal of the oil well pipeline is carried out according to the blockage removal method corresponding to the blockage degree, and the method specifically comprises the following steps:
based on the specific position of the oil well pipeline blockage, under the condition that the blockage degree of the oil well pipeline is secondary blockage, according to a high-pressure water jet blockage removing method, the sediment on the pipe wall of the oil well pipeline is flushed by high-pressure water jet so that the sediment falls off from the pipe wall of the oil well pipeline;
based on the specific position of the blockage of the oil well pipeline, under the condition that the blockage degree of the oil well pipeline is three-stage blockage, flushing and soaking sediments on the wall of the oil well pipeline through an organic chemical solvent according to a thermochemical blockage removal method; injecting hot oil into the sediments on the pipe wall of the oil well pipeline after a preset time interval so as to enable the sediments to fall off from the pipe wall of the oil well pipeline;
after the oil well pipeline is unplugged according to the plugging removal method corresponding to the plugging degree, the method further comprises the following steps:
determining a standard thickness of the oil well pipe when unplugged based on at least one ultrasonic sensor; the ultrasonic sensor is arranged on the outer side of the pipe wall of the oil well pipeline;
acquiring thickness information of the unblocked oil well pipeline through the at least one ultrasonic sensor;
and comparing the thickness information of the oil well pipeline after the blockage removal with the standard thickness of the oil well pipeline, and determining whether the blockage position of the oil well pipeline is blocked or not.
2. The artificial intelligence based unblocking method of a pipe blockage of an oil well according to claim 1, further comprising:
determining the standard oil inlet amount when the oil inlet is not blocked according to the distance between the oil inlet of the oil well pipeline and the ground, the pressure value at the oil inlet and the diameter of the oil inlet;
acquiring the oil inlet amount of the oil inlet at the current moment through a liquid flowmeter;
and under the condition that the oil inlet amount at the current moment is smaller than the standard oil inlet amount, determining that the oil inlet of the oil well pipeline is blocked.
3. The artificial intelligence based unblocking method of an oil well pipe according to claim 2, wherein after determining that an oil inlet of the oil well pipe has been blocked, the method further comprises:
based on an acidification blockage removal method, putting a high-efficiency active agent on the sediment of the oil inlet so as to dissolve the sediment of the oil inlet;
generating shock waves through a hydraulic vibrator so that sediments of the oil inlet are transmitted to the ground along with the shock waves; the hydraulic vibrator is arranged at an oil inlet of the oil well pipeline.
4. Oil well pipeline blocks up's unblock equipment based on artificial intelligence, its characterized in that, equipment includes:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to:
-performing the artificial intelligence based unblocking method of a pipe blockage of an oil well according to any of claims 1-3.
5. Non-volatile computer storage media for artificial intelligence based unplugging of a plugged well pipe, storing computer executable instructions, characterized in that the computer executable instructions are arranged to:
-performing the artificial intelligence based unblocking method of a pipe blockage of an oil well according to any of claims 1-3.
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