CN111612209A - Non-gathering oil well group pull transportation scheduling system and method - Google Patents
Non-gathering oil well group pull transportation scheduling system and method Download PDFInfo
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Abstract
The invention relates to a non-gathering oil well group pull-transporting dispatching system, which comprises: monitoring modules on the oil well storage tanks in different geographic positions are used for acquiring at least one productivity parameter of the oil well storage tank and intermittently sending the at least one productivity parameter to a data service module, and the data service module is used for: the system comprises an oil well storage tank networking system, a transportation scheme, a vehicle-mounted module and a data service module, wherein the oil well storage tanks in different geographic positions are networked in an internet of things mode according to the capacity parameter, the transportation scheme is used for an oil tank truck to transport crude oil in oil well storage tanks with different geographic positions to an oil unloading point according to the capacity parameter, the transportation scheme can be dynamically updated according to at least one capacity parameter in the process of executing the transportation scheme by the oil tank truck and is sent to the vehicle-mounted module, and the vehicle-mounted module is arranged on the oil tank truck and is in communication connection with the data service module, so that the data service module can dynamically update the transportation scheme based on the running parameter of the oil tank truck in the process of executing the transportation scheme by the oil tank.
Description
Technical Field
The invention relates to the technical field of intelligent oil transportation engineering, in particular to a non-gathering oil well group pull transportation scheduling system and method.
Background
According to statistics, the external dependence of the petroleum in the Chinese of 2019 is up to 72%, which is improved by about 2% compared with about 70% in 2018. And according to related prediction, the dependence of China on petroleum is gradually increased, and the energy safety of China is seriously threatened. Oilfield production is a large and complex system project, and needs strong planning so as to improve the production capacity, reduce the cost and ensure safe production. China has widespread low permeability oil fields, and its geological reserves account for about half of the nationwide proven geological reserves. With the continuous progress of reservoir development technology, the utilization ratio of low-permeability reservoirs is gradually increased, which can reduce the external dependence of Chinese petroleum or reduce the growth trend of the Chinese petroleum.
However, low-permeability oil fields have low yield, low permeability and low abundance, and are not only large and medium oil fields which are integrally installed, but also small oil fields which are dispersed, and a single oil field has small reserve scale, scattered distribution and large area span. The decision-making department of the oil well production system and the operation scheduling department of the oil-pulling tank truck are respectively responsible for independent operation, which not only causes high crude oil pulling cost, but also can cause the problems of sand production, wax precipitation, large yield loss, even tank full production stop and the like of a shaft, and the production potential of the oil well can not be completely released. Therefore, how to coordinate the production and hauling processes of the oil well, optimize the hauling mode and the operation parameters, form a reasonable production scheduling scheme, and is vital to improving the yield of the oil well, reducing the unit crude oil hauling cost and improving the enterprise benefit.
For example, chinese patent publication No. CN109685438A discloses a method for dispatching transportation vehicles in oil field industry. The method comprises the following steps: a scheduling user platform is set, all vehicles in a specific area are arranged under the same sharing center for scheduling and uniform allocation, the scheduling user platform can track all nodes in the transportation process, and vehicle calling, loading, unloading, executing, settling and auditing are all performed on the scheduling user platform, so that the efficiency is higher; the temporary vehicle utilization monitoring is more convenient and more transparent; the vehicle using unit uniformly issues the freight note and the dispatching service on the dispatching user platform, so that the utilization rate of the vehicle is improved; the operation settlement and audit processes of oil field vehicle utilization units are unified, and the influence of human factors on settlement results is reduced; the vehicle-using unit can calculate the freight budget in a certain period according to the scheduling user platform, so that the cost control is better and accurate; the order listening driver receives tasks according to the waybill of the dispatching user platform, can check the running state of the vehicle in the transportation process in real time, and the supervision is more effective.
For another example, chinese patent publication No. CN106203557A discloses an internet supervision system for oil field vehicles. The system comprises a fixed two-dimension code and a temporary two-dimension code which are pasted on an oil field vehicle, a cloud server, a management unit for managing the fixed two-dimension code, the temporary two-dimension code and vehicle information, a scheduling unit for identifying the temporary two-dimension code and dispatching the vehicle, an oil drawing point unit for identifying the fixed two-dimension code and the temporary two-dimension code and charging oil, an oil discharging supervision unit for identifying the fixed two-dimension code and the temporary two-dimension code and supervising oil discharging, and an assay unit for identifying the temporary two-dimension code and uploading an assay result.
However, during the transportation scheme of the tank truck, many uncertain factors such as a fast oil inlet flow of the oil storage tank of the oil well, the dropping of the tank truck, weather changes, debris flow and the like can be encountered during the operation of transporting crude oil in the oil field. Moreover, because the crude oil is transported in the low-permeability oil field in a non-gathering and transporting mode, once the oil storage tank of the oil well is full of oil, the pumping unit stops pumping oil, the shutdown of the pumping unit can not only cause the energy consumption loss of the pumping unit during the rework, but also possibly cause the osmotic pressure change of an underground oil layer, so that the pumping well is scrapped.
Furthermore, on the one hand, due to the differences in understanding to the person skilled in the art; on the other hand, since the inventor has studied a lot of documents and patents when making the present invention, but the space is not limited to the details and contents listed in the above, however, the present invention is by no means free of the features of the prior art, but the present invention has been provided with all the features of the prior art, and the applicant reserves the right to increase the related prior art in the background.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a non-centralized oil transportation well group production and hauling scheduling system which can be cooperatively optimized, integrally considers all scheduling elements in an oil field, optimizes an oil well working system and a crude oil hauling scheduling scheme, and realizes the reduction of stable and efficient production and hauling cost of an oil well. According to the method, a large-scale non-gathering oil well group pull-transportation scheduling model and a large-scale non-gathering oil well group production pull-transportation scheduling integrated optimization model based on an artificial bee colony algorithm are used for producing dynamic and pull-transportation real-time data of the oil well, and finally an intelligent system integrating yield prediction, integrated model description and collaborative optimization is formed and is applied to oil field production reality, particularly low-permeability oil wells.
The pumping unit in hyposmosis oil field is equallyd divide and is kept away from oil field operation command center, and the tank wagon is the operation mode of three points one-line, promptly: the tank truck can run for a long distance between the tank yard, the oil well storage tank and the oil unloading point. And the tanker will serve different well tanks during a single transportation mission for economic maximization and capacity efficiency benefits. Compared with the conventional oil field, the low-permeability oil field has the characteristics of large production data fluctuation range, high failure rate and the like. In the process of executing the transportation scheme by the oil tank truck, various uncertain factors such as quick oil inlet flow of crude oil in an oil well storage tank, anchoring of the oil tank truck, weather change, debris flow and the like can be encountered in the operation process of transporting crude oil in an oil field. Moreover, because the crude oil is transported in the low-permeability oil field in a non-gathering and transporting mode, once the oil storage tank of the oil well is full of oil, the pumping unit stops pumping oil, the shutdown of the pumping unit can not only cause the energy consumption loss of the pumping unit during the rework, but also possibly cause the osmotic pressure change of an underground oil layer, so that the pumping well is scrapped. Therefore, in the process of executing the transportation scheme of the oil tank truck, how to dynamically update the operation scheme of the oil tank truck according to the oil well productivity parameters, the motion parameters of the oil tank truck and various uncertain factors is a problem to be solved urgently in the field.
Therefore, the invention relates to a non-gathering oil well group hauling and dispatching system, which is particularly applied to low-permeability oil fields and comprises: monitoring modules on oil well storage tanks in different geographical locations for acquiring at least one capacity parameter of the oil well storage tank and intermittently transmitting the at least one capacity parameter to a data service module, the data service module: the system comprises an oil-well storage tank networking module, a data service module and a vehicle-mounted module, wherein the oil-well storage tank networking module is used for networking the oil-well storage tanks in different geographic positions in an internet of things mode according to the capacity parameter, outputting a transportation scheme for transporting crude oil in the oil-well storage tanks with different geographic positions to an oil unloading point by an oil-tanker according to the capacity parameter, dynamically updating the transportation scheme according to at least one capacity parameter and sending the updated transportation scheme to the vehicle-mounted module in the process of executing the transportation scheme by the oil-tanker, and the vehicle-mounted module is arranged on the oil-tanker and is in communication connection with the data service module, so that the data service module can dynamically update the transportation scheme based on the running parameter of the oil-tanker and feeds the updated transportation scheme back to the vehicle-mounted module.
In addition, the pumping units are scattered in different geographic positions and are far away from the oil field command center, and the real yield can be reflected only by the capacity parameters sent discontinuously. The production capacity parameter reaching the oil field command center is intermittent, while the oil pumping unit is in continuous working operation, and the yield is continuous in time. How to determine a transportation plan and/or update the transportation plan based on continuous production reflected by intermittent capacity parameters is a problem to be further solved.
According to a preferred embodiment, the data service module is capable of coordinating pumping parameters of the corresponding part of the pumping units based on the position parameters of the tanker truck to adjust the capacity and the output of the oil well storage tank, so as to prevent the oil well storage tank from being full of crude oil.
According to a preferred embodiment, the data service module can send the transportation scheme to the on-board module and the oil unloading module on the oil well storage tank in a one-to-one correspondence manner in the form of an electronic tag, so that the oil unloading module can deliver crude oil of an oil quantity corresponding to the transportation scheme to the oil tanker on the basis of mutual authentication between the electronic tag and the on-board module.
According to a preferred embodiment, the monitoring module is configured with at least two frequencies for sending the capacity parameter to the data service module, wherein a first frequency is before the data service module sends the transportation plan to the tanker truck, and a second frequency is after the data service module sends the transportation plan to the tanker truck, wherein the first frequency is less than the second frequency.
According to a preferred embodiment, the on-board module on the same tanker can be communicatively connected to the monitoring module on its corresponding portion of the well storage tank, upon authorization by the data service module.
According to a preferred embodiment, a level sensor on the tanker truck is communicatively connected to the data service module via the on-board terminal, so that the data service module can modify the historical production capacity curve of the oil well storage tank based on the level sensor.
According to a preferred embodiment, the scheduling system comprises an early warning module configured to: and under the condition that the fluctuation value of the productivity parameter exceeds a preset fluctuation threshold value, an early warning signal can be sent to the data service module and/or the vehicle-mounted terminal.
According to a preferred embodiment, the data service module configures the pull sequence as follows: fitting an actual capacity curve of each oil well storage tank according to the discontinuously obtained capacity parameters of the plurality of oil well storage tanks, and comparing the actual capacity curve with respective historical capacity curves to obtain the safe oil discharge time of each oil well storage tank; generating a haul sequence for the well tank based on the safe unloading time.
According to a preferred implementation mode, the invention also discloses a non-gathering oil well group pull transportation scheduling method which is used for the scheduling system.
Drawings
FIG. 1 is a block diagram of a scheduling system according to the present invention; and
fig. 2 is a schematic transportation diagram of a scheduling system provided by the present invention.
List of reference numerals
100: the monitoring module 300: vehicle module
200: the data service module 400: adjusting module
Ti: oil well storage tank Sk: oil unloading point
O: oil field command center Cj: oil-drawing tank car
Detailed Description
The following detailed description is made with reference to the accompanying drawings.
The crude oil hauling operation scheduling of the non-gathering oil well group is as follows: the crude oil is loaded, transported and unloaded from the oil well tank to the unloading point. And the scheduling scheme at least comprises: and planning the oil quantity, pipelines, oil loading quantity, vehicles, driving routes and the like of the single-well oil tank.
The productivity parameter refers to a parameter capable of reflecting the crude oil quantity of the oil well storage tank, and includes at least one of the crude oil liquid level in the storage tank, the pressure in the storage tank, the crude oil inlet flow and the like.
The transportation scheme includes the sequence of the well tanks, the amount of oil each well tank needs to transport, the travel route, etc., the oil pull tankThe oil carrying capacity of the truck, the running speed of the oil-drawing tank truck and the like. Namely: oil well storage tank T with different geographical positionsiTransporting crude oil to oil unloading point Sk。
Example 1
The embodiment discloses a non-gathering oil well group pull-transporting scheduling system. This includes a monitoring module 100, a data service module 200, and an on-board module 300. As depicted in fig. 2, monitoring module 100 is communicatively coupled to data service module 200. The on-board module 300 is communicatively coupled to the data service module 200. The module in the invention refers to: hardware, software, or a combined data processor capable of performing its associated steps.
The data service module 200 generates a transportation plan according to the capacity parameter, the number of vehicles of the tanker, the oil loading capacity, the road condition, the weather factor and the like. The transportation scheme is distributed in the form of a mission to the on-board module 300 of the tanker. And the driver performs oil drawing according to the transportation scheme after confirming the transportation scheme. The data service module 200 can acquire the productivity parameters of the oil well storage tank Ti at different geographic positions to form an internet of things. Also, it can acquire the driving parameters of the on-board module 300 during the transportation scenario performed by the tanker truck. The data service module 200 includes an operating system, a CPU memory bank, a CPU, and a display screen.
The intelligent scheduling model establishing step at least comprises the following steps:
1. and establishing a multi-dimensional data fusion model. Firstly, defining an importance variable aiming at the pull transportation scheduling data and the oil well production data, and forming a multi-granularity decision system together with discretized oil field basic data. And then, a sliding window mechanism is constructed according to multi-time granularity data such as yield, water content, liquid level, a hauling route, vehicle running time and the like, effective data fusion is realized by adopting a multi-scale sampling mode and a multi-granularity decision system, and an oil well group production, hauling and event fusion data model is constructed.
2. And realizing prediction and early warning of the oil well. Extracting relevant data from a data model of particle calculation, firstly reducing the dimension of the data based on an improved principal component analysis method, and then realizing multivariate correlation analysis by using a correlation analysis method. And then, establishing a prediction model based on the long-term and short-term neural networks to realize yield prediction, further establishing an early warning model of the liquid level of the single well tank, and realizing real-time evaluation and early warning of the hauling demand.
3. And optimizing the crude oil hauling and dispatching of the large-scale non-gathering oil well group. Firstly, carrying out correlation analysis on various factors influencing the decision of the hauling scheme in the hauling scheduling process, then building a large-scale hauling scheduling model by using a mathematical programming method, determining the time expression and the relevant decision variables of the model, and solving the best hauling scheme such as the hauling route, the oil loading amount and the vehicle arrangement by taking the unit hauling cost as the minimum objective function.
4. And (4) carrying out production and hauling cooperative optimization on the large-scale non-gathering oil well group. Firstly analyzing the dynamic correlation characteristics of the crude oil transportation demand and the output of the oil well production system, determining an active regulation and control model of the crude oil transportation system for adapting to the dynamic output of the oil well group production system, establishing a coupling model by applying a mathematical programming method and data analysis, and finally performing multi-objective collaborative optimization by using an ant colony-based bee colony algorithm.
5. Based on cost sensitive real-time evaluation. And establishing a cost function through indoor sand table simulation and a field actual data set. The cost function mainly researches factors of direct economic cost such as oil yield of an oil well group, vehicle platform set, labor and freight; and (4) evaluating the production state of the oil well group, the liquid level prediction and scheduling scheme recommendation effect in real time by combining the evaluation indexes, and feeding back the results to the input end of a corresponding system to form a closed-loop self-adaptive control system.
The on-board module 300: the system for monitoring the oil tank truck mainly comprises an intelligent lock control, a valve lock, a manhole lock, a video, a liquid level and the like. The oil tank truck monitoring is based on technologies such as radio frequency identification lead sealing, Beidou/GPS satellite positioning, 2G/3G/4G full-network data communication, 3G video monitoring and the like, and functions of track tracking, real-time positioning, route planning, remote lead sealing, real-time monitoring, alarming and the like of the oil tank truck are achieved. The monitoring management level, the working efficiency and the safety of the oil tank truck can be obviously improved. Technical upgrading and transformation are carried out on an oil loading port and an oil unloading port valve of the oil tank truck, an electronic lead sealing management function is achieved, all real-time state information can be monitored and recorded by a single-tank intelligent scheduling system in real time in the whole operation process of oil loading, transportation and oil unloading, and visual tracing of the whole process is achieved. To drawing the oil loading mouth and unloading the hydraulic fluid port of tank wagon, adopt the strong electronic lead sealing equipment of high machinery, the back is sealed in the system, and the valve can't be opened on the way in the transportation, and the tank wagon only supports after the destination, just can realize the deblocking after carrying out the instruction through the authorized account number. When the valve is violently damaged, the platform can give an alarm in real time, so that the oil product stealing event is effectively avoided, and the oil product transportation safety supervision requirement is met. The oil tank truck monitoring main monitoring contents comprise a running track, a midway stopping point, driving time, mileage, an unsealing record and the opening and closing states of all tank openings, and the tank cover and the oil unloading valve of the tank truck are kept locked from the oil pulling point to the oil unloading point, so that the oil tank truck has the function of locking the oil tank truck at one time on the way. The single-pull tank vehicle-mounted module 300 can dynamically monitor and record the tank vehicle in real time, realize wireless monitoring of the position, track, locking state, violation alarm and the like of the tank vehicle, realize unified authorization of a single-pull tank intelligent scheduling system, common management of an IC card and a handheld terminal, intelligent sealing/unsealing and theft prevention. Whole transportation can lead to seal the linkage with the electron, and automatic intelligent risk analysis realizes the visual pursuit of overall process.
And (3) single-pull-tank well site real-time monitoring:
collecting temperature, liquid level and water content data: each single-pull tank is provided with a YDPT150W multi-parameter integrated transmitter, the liquid level, the temperature and the water content in the oil storage tank are collected in real time, and the collected data are transmitted to the system through a wireless network. The system can calculate the amount of oil that the tanker carries from each single pull tank at a time according to the change in liquid level.
Real-time video monitoring: an infrared camera is installed on a single-pull-tank well field, and an oil-pull picture of the on-site oil tank truck is monitored in real time in a double-machine correlation mode. And transmitting the monitoring video to the system through a wireless network.
Intelligent perimeter precaution: according to the monitoring video, the light vibration sensing principle is adopted to detect the fence state of the well site, whether non-working personnel enter the well site or not is monitored, and linkage alarming is achieved.
Real-time monitoring of the oil tank truck:
a GPS positioning system and a liquid level meter are arranged on the vehicle to acquire the running state of the vehicle. The system can display the speed, position, direction, driver and other information of the vehicle in real time, and clearly display the position and other information of the vehicle on the electronic map. The map may be selected to display information of all vehicles at the same time, or may be selected to display information of a specific vehicle. The map may be scaled.
If the vehicle stops in a place for more than a specified time, the system automatically gives an alarm message, and the detailed message should be displayed as a "stop timeout" or the like. If the vehicle deviates from the driving route designated by the system for a certain distance or a certain time, the system automatically sends out alarm information, and the detailed information is displayed as a similar sentence of 'deviating from the specified driving route'.
The system can record the oil quantity carried away by the tank car from each single pull tank every time according to the liquid level change of the tank car.
Monitoring an oil unloading point in real time:
and a sensor is arranged at the oil storage tank at the oil unloading point, so that the temperature, the liquid level and the water content of the oil storage tank are monitored in real time, and the oil quantity unloaded from each oil tank truck to the oil storage tank is further counted.
Example 2
This embodiment may be a further improvement and/or a supplement to embodiment 1, and repeated contents are not described again. The preferred embodiments of the present invention are described in whole and/or in part in the context of other embodiments, which can supplement the present embodiment, without resulting in conflict or inconsistency.
Preferably, in the oil well storage tank area, the monitoring module 100 comprises a YDPT150W multi-parameter integrated transmitter and a YD210LRTU control terminal measurement and control box. The YDPT150W multi-parameter integrated transmitter can acquire and measure the liquid level, temperature, pressure and water content data of the oil storage tank in real time. The YDPT150W multi-parameter integrated transmitter is arranged at a measuring port at the top of the storage tank in a top-mounted mode, and transmits signals such as liquid level, temperature, pressure and water content to the YD210LRTU control terminal measuring and controlling box through RS485 signals. The RTU control terminal measurement and control box mainly completes the functions of data acquisition and data communication transmission of storage tank temperature, pressure, liquid level, water content, liquid production amount and the like. Preferably, the monitoring module 100 sends the capacity parameter to the data service module 200 in an intermittent manner.
Preferably, the data service module 200 is on a tanker truck CjThe transportation scheme can be dynamically updated according to at least one capacity parameter in the process of executing the transportation scheme. For example, the original transportation scheme is (T)1→T2→T3→T4) The oil to be discharged of each oil well storage tank is (V)1→V2→V3→V4). For example, in oilTank pulling vehicle CjWhen the transportation scheme is executed, T3The liquid level in the oil well storage tank increases at a higher rate, and at this time the tanker CjIs on T3The oil well storage tank is filled with oil, then the data service module 200 can be according to T3And updating the transportation scheme of the liquid level in the oil well storage tank. For example, the more recent transportation schemes are: (T)1→T3→T4) And T is2The oil well storage tank is sent by another oil-drawn tank truck CjTransportation of。Alternatively, the updated transportation scheme may also be: (T)1→T2→T3→T4) And the oil to be discharged of each oil well storage tank is respectively (V)1→V20→V30→V4)，V20Less than V2，V30Greater than V30。The dynamically updated transportation scenario is sent to the on-board module 300.
Preferably, the data service module 200 can be located on the tanker CjTank truck C based on oil pull in the process of executing transportation schemejDynamically updating the transportation scheme. The running parameters comprise running speed, running path, position parameters and other parameters capable of reflecting the movement of the oil tanker. For example, the in-vehicle module 300 includes a GPS location system, and the data service module 200 can acquire its location parameters. Such as, for example, the original transportation scheme being (T)1→T2→T3→T4) The oil to be discharged of each oil well storage tank is (V)1→V2→V3→V4). At the slave oil-drawing tank car at the slave T1→T2May encounter weather factors causing it to reach T2Time lag of oil well tanks, and during this period, T2The oil well storage tank is continuously taking oil, at which time the data service module 200 may update T according to the location parameters2Oil discharge V of oil tank2(for example, increase the oil discharge to 120% V2) (ii) a If the oil loading of the oil tanker does not meet the overload oil loading, the data service module 200 can assist the oil tanker to transport oil according to the oil tanker of other lines。
Preferably, the data service module 200 can be based onOil tank truck CjThe position parameters of the oil pumping unit coordinate with the pumping parameters of the corresponding part of the oil pumping unit to adjust the yield and the output of the oil well storage tank Ti, so as to prevent the crude oil in the oil well storage tank Ti from being filled. Such as, for example, the original transportation scheme being (T)1→T2→T3→T4) The oil to be discharged of each oil well storage tank is (V)1→V2→V3→V4). At the slave oil-drawing tank car at the slave T1→T2May encounter weather factors causing it to reach T2Time lag of oil well tanks, and during this period, T2The oil well reservoir is constantly on the oil, then at this point, the data service module 200 may issue an adjustment command to adjust T2And the operating frequency of the pumping unit corresponding to the oil well storage tank is reduced, such as the rotating speed of a motor and the like.
Preferably, the data service module 200 can transmit the transportation schemes to the on-board module 300 and the oil well tank T in a one-to-one correspondence manner in the form of electronic tags, respectivelyiThe oil discharge module 400 so that the oil discharge module 400 can pull the tank truck C to the tank truck C based on mutual authentication of the electronic tag and the on-board module 300jCrude oil is transported in an amount corresponding to the transportation scheme. At present, the oil drain valve is protected by additionally arranging a chain lock, the chain is locked by a common padlock, when an oil puller enters an oil pulling field, the oil puller accompanies the oil puller to a well site, the oil puller uses a key to open the protection lock, and the valve is manually opened to carry out oil drain operation. In order to reduce the working strength of an oil extraction worker and improve the safety standard level of oil drawing, an oil discharge valve of an oil drawing storage tank needs to be provided with an intelligent electric lock, and the oil storage tank can be unlocked by oil loading personnel in an authorized mode. After the system is put into use, an oil-drawing driver enters a designated oil-drawing well site, the unlocking operation code of the intelligent lock of the well site is mutually verified through the electronic tag and/or acquired in a ciphertext mode, and the electronic lock is opened through a Bluetooth mode by the handheld terminal, so that the oil charging operation is completed.
Preferably, the same tanker C is authorized by the data service module 200jOn-board module 300 can correspond to a portion of the well tank TiIs communicatively coupled to the monitoring module 100. Superior foodOil tanker CjThe liquid level sensor above is in communication connection with the data service module 200 via the on-board terminal 300, so that the data service module 200 can correct the historical production capacity curve of the oil well tank Ti based on the liquid level sensor. The storage tank data is communicated with the handheld terminal in a WiFi mode, and after the oil tank truck enters a field area, the handheld terminal reads the liquid level of the storage tank, and after network conditions are met, the oil tank truck is generally uploaded to the single-tank intelligent scheduling system after returning to the oil discharge platform.
Preferably, the early warning module is configured to: and under the condition that the fluctuation value of the capacity parameter exceeds a preset fluctuation threshold value, an early warning signal can be sent to the data service module 200 and/or the vehicle-mounted terminal 300. The vehicle energy parameter fluctuation value mainly has the following two conditions: firstly, oil stealing; second, the yield varies. Stealing oil and can taking place the arbitrary time outside the oil charge, the liquid level can take place great fluctuation, and at this moment, data service module 200 can send early warning signal, and early warning signal can be mode such as suggestion sound and send. The output abnormal change refers to the output abnormal change caused when the oil pumping unit breaks down or the output abnormal change caused by the change of the oil layer osmotic pressure, at the moment, the data service module 200 can send out an early warning signal, and the early warning signal can be sent out in modes of prompting sound and the like. In both cases, the vehicle-mounted terminal 300 can be sent out an early warning signal to prompt a driver to avoid, so that the life is prevented from being threatened.
Preferably, the data service module 200: several oil well tanks C obtained according to interruptionsjThe productivity parameters of each oil well storage tank C are fittedjActual capacity curve of (2). And comparing the actual capacity curve with the respective historical capacity curve to obtain each oil well storage tank CjThe safe oil discharge time. And, generating the well tank C based on the safe oil discharge timejThe roping sequence of (a). The data service module 200 stores historical capacity curves for each well tank. The historical capacity curve is obtained according to the change of the liquid level along with the time in a period of time. The safe oil discharge time is a time point before the oil well storage tank is full, and the time period from the time point to the time when the oil well storage tank is full (the former time period) is greater than or equal to that of the oil tankerThe time to reach the well reservoir from the field command center (the latter time). Generally, the time length of the former is longer than 5-20% of the time length of the latter. And arranging the hauling sequence of the oil well storage tanks according to the safe oil unloading time, and determining the oil unloading amount of each time according to the storage amount of the oil well storage tanks.
Preferably, the monitoring module 100 is configured with at least two frequencies for sending the capacity parameter to the data service module 200. Wherein the first frequency is that the data service module 200 sends the transportation scheme to the tanker truck CjAnd (3) before. The second frequency is that the data service module 200 sends the transportation scheme to the tanker CjAnd (6) finally. The arrangement is mainly that when the oil tanker starts to execute the transportation scheme, the oil quantity of the oil well storage tank exceeds the oil quantity corresponding to the safe oil unloading time, in order to prevent the oil well storage tank from being full of oil and causing shutdown, the first frequency is smaller than the second frequency, at the moment, the time when the data service module 200 can acquire the oil quantity of the oil well storage tank becomes more, and the data service module can conveniently implement dynamic adjustment of the transportation scheme and/or coordinate change of working parameters of the oil pumping unit so as to change productivity parameters.
Example 3
This embodiment may be a further improvement and/or a supplement to embodiments 1, 2 or a combination thereof, and repeated contents are not described again. This example discloses that, without causing conflict or contradiction, the whole and/or partial contents of the preferred embodiments of other examples can be supplemented by this example.
The oil tank truck is a main monitoring object in the scheme, and in the whole oil pumping operation process, the oil tank truck adopts the following modes to operate:
(1) loading and unloading of the oil-pulling tank truck are finished by jointly supervising a tank truck transportation unit and an oil extraction production unit;
(2) during the preparation period of oil loading of the oil tank truck, the oil drain valve of the oil tank truck is sealed and sealed by lead by a monitoring person of an oil extraction unit, so that the crude oil is prevented from being stolen during transportation;
(3) after the oil tank truck finishes oil filling, the oil tank truck oil filling port and the observation port are sealed and blocked by lead by a supervision person of an oil extraction unit, so that crude oil is prevented from being stolen;
(4) the oil extraction unit staff at the oil extraction point makes a ticket, and the oil extraction time, the safety monitoring process, the lead seal label and other information are recorded in detail;
(5) and (3) checking the integrity of three seals of the oil tank truck by the staff of the oil drainage platform at the oil drainage point of the combined station, checking the lead seal label, judging whether the damage phenomenon exists on the way or not, and unloading the crude oil.
According to the set crude oil hauling process, the operation processes of the oil-hauling tank car are as follows:
(1) after the oil-drawn tank car enters the combined station oil drainage platform, the worker in the station carries out the 1 st weighing on the oil-drawn tank car to obtain the weight of an empty vehicle, and the worker in the station inputs the 1 st weighing data through the oil-drawn management platform;
(2) workers in the station distribute intelligent locks to the oil tank trucks, and lock three positions of oil loading ports and observation ports at the top of the oil tank and oil drainage ports at the bottom of the oil tank, so that the oil tank cannot load and unload crude oil during crude oil transportation;
(3) workers in the station distribute unlocking intelligent terminals and operation recording instruments to the oil tank truck drivers, and the vehicles leave the departure point of the united station and go to an oil drawing point to draw oil for loading and transporting;
(4) after the oil tank truck enters an oil pumping point, a driver stops the truck, checks safety, releases static electricity and connects an oil filling hose according to relevant safety regulations. After completing relevant preparation work, a driver opens the tank top oil filling port and the observation port intelligent lock through the intelligent terminal so as to carry out oil filling preparation;
(5) after the oil tank truck driver finishes oil filling preparation, the liquid level of the storage tank is read through the handheld terminal, and the dynamic information of the oil tank is reported after the user returns an oil discharge point. An unlocking command is issued to the intelligent lock of the storage tank outlet stop valve, so that the storage tank outlet stop valve can be manually opened, and the tank car is subjected to oil loading operation;
(6) after the oil is filled, a driver of the oil tanker manually closes the stop valve at the outlet of the storage tank, installs an intelligent station on the stop valve and executes a locking command;
(7) a driver of the oil-pulling tank truck removes the oil-loading hose, closes the oil-loading port at the top of the tank truck and the observation port sealing device, and uses an intelligent lock to seal;
(8) in the whole oil filling process, a driver of the oil tanker needs to start the action recorder in the whole process, and uses an intelligent terminal to take pictures and leave the bottom in a key process;
(9) the vehicle returns to the oil discharge point of the combined station, and the safety measures of the oil tank truck, the opening and closing states of 3 intelligent locks additionally arranged on the truck body and the flow operation reserved on the intelligent terminal are checked by the staff in the station. Determining the complete oil drawing process and the standard operation;
(10) the oil-pulling tank truck finishes weighing for the 2 nd weighing, and the operator in the station inputs the 2 nd weighing data through the oil-pulling management platform;
(11) and operating the intelligent terminal by the staff in the station to perform identity authentication. Unlocking intelligent locks of an oil drain port, a loading port and an observation port of the oil tank truck;
(12) after the oil tank car enters the oil drainage level and the operations of vehicle parking, electrostatic discharge, grounding device connection and the like are finished according to relevant regulations, an oil drainage valve is opened to carry out oil drainage operation of the oil tank;
(13) the related operation processes are all required to be completely recorded by the action recorder. The intelligent terminal carries out background-left photographing on the key nodes according to the operation specification;
(14) after oil drainage is finished, returning the empty wagon to the wagon balance for weighing for 3 times, inputting weighing information for 3 times by a worker in the station, finishing the oil drawing operation by comparing the heavy information for 1 time with the weighing information for 2 times by the background software, wherein the weight difference value is in a reasonable range, and calculating the oil drawing amount to output an oil knot;
(15) and (4) finishing oil drainage operation, recovering the intelligent terminal, 3 sets of locks and the action recorder by the staff of the united station, reporting the whole operation record of the oil drawing in a one-key operation mode of the intelligent terminal, and warehousing and storing data. And the action recorder transmits the oil pulling video to the system platform in a data line or wireless mode.
(16) The main work content that oil tank car relates to includes to 2 departments of tank deck opening mouth, tank bottoms 1 department let out the fuel tap, carries out electromagnetic lock installation transformation, through installing the electromagnetic lock, realizes the replacement to former lead sealing hasp, improves the oil tank car management level.
Example 4
The present embodiment also discloses a scheduling method, which may be implemented by the system of the present invention and/or other alternative components. For example, the method of the present invention may be implemented using various components of the system of the present invention.
The method comprises the following steps:
the monitoring modules 100 on the oil well storage tanks Ti of different geographical positions acquire at least one productivity parameter of the oil well storage tank Ti and intermittently transmit the at least one productivity parameter to the data service module 200,
the data service module 200 organizes the oil well storage tanks Ti in different geographic positions in an internet of things manner according to the capacity parameter, outputs and/or is used for the tanker cz to transport the crude oil in the oil well storage tanks Ti in different geographic positions to the oil discharge point Sk according to the capacity parameter, and can dynamically update the transport scheme according to at least one capacity parameter and send the updated transport scheme to the vehicle-mounted module 300 in the process of executing the transport scheme by the tanker cz.
Preferably, the monitoring module 100 is configured with at least two frequencies for sending the capacity parameter to the data service module 200,
wherein, the first frequency is before the data service module 200 sends the transportation scheme to the tank truck Cj, the second frequency is after the data service module 200 sends the transportation scheme to the tank truck Cj,
wherein the first frequency is less than the second frequency.
It should be noted that the above-mentioned embodiments are exemplary, and that those skilled in the art, having benefit of the present disclosure, may devise various arrangements that are within the scope of the present disclosure and that fall within the scope of the invention. It should be understood by those skilled in the art that the present specification and figures are illustrative only and are not limiting upon the claims. The scope of the invention is defined by the claims and their equivalents.
Claims (10)
1. A non-gathering oil well group pull-haul dispatching system, particularly for low permeability oil fields, comprising:
oil well storage tanks (T) in different geographical locationsi) A monitoring module (100) for collecting the oil well tank (T)i) At least one capacity parameter of the at least one unit,
data service module (200): -associating said oil well tanks (T) in different geographical locations in such a way that said capacity parameters can be obtainedi) Internet of things, and
on-board module (300): which is arranged on the oil tank truck (C)j) And is in communication connection with the data service module (200) for obtaining the tanker truck (C)j) Is determined by the driving parameters of (a) a,
characterized in that the monitoring module (100) is configured to: intermittently transmitting the at least one capacity parameter to the data service module (200),
the data service module (200) outputs the production capacity parameter for the oil tank truck (C)j) Oil well tanks (T) having different geographical locationsi) Transporting the crude oil to the oil discharge point (S)k) And in a tanker (C)j) The transportation scheme can be dynamically updated according to the at least one capacity parameter during the transportation scheme execution process and is sent to an on-board module (300),
and/or
The data service module (200) can be located on a tanker truck (C)j) Based on the tank wagon (C) in the course of executing the transportation schemej) Dynamically updates the transportation scheme and feeds back the transportation scheme to the on-board module (300).
2. Dispatch system according to claim 1, characterized in that the data service module (200) can be based on the tanker truck (C)j) The position parameters of the oil pumping unit coordinate with the pumping parameters of the corresponding part of the pumping units to adjust the productivity and yield of the oil well storage tank (Ti) so as to prevent the crude oil in the oil well storage tank (Ti) from being full.
3. The method according to claim 1 or 2Characterized in that said data service module (200) is able to send said transportation scheme in the form of an electronic tag to said on-board module (300) and to said oil well tank (T), respectively, in a one-to-one correspondencei) The oil discharge module (400) so that the oil discharge module (400) can pull the tank truck (C) to the oil tank truck (C) based on the mutual authentication of the electronic tag and the vehicle-mounted module (300)j) Transporting a quantity of crude oil corresponding to the transportation scheme.
4. The scheduling system of one of the preceding claims wherein the monitoring module (100) is configured with at least two frequencies for transmitting the capacity parameter to the data service module (200),
wherein a first frequency is that the data service module (200) sends the transportation scheme to a tanker truck (C)j) Before, the second frequency is that the data service module (200) sends the transportation scheme to the tanker truck (C)j) After that, the air conditioner is started to work,
wherein the first frequency is less than the second frequency.
5. Dispatch system according to one of the preceding claims, characterized in that in case of authorization of the data service module (200), the same tanker (C)j) The on-board module (300) can correspond to part of the well tank (T)i) Is communicatively connected to the monitoring module (100).
6. Dispatch system according to one of the preceding claims, characterized in that the tank wagon (C)j) The liquid level sensor is in communication connection with the data service module (200) via the vehicle-mounted terminal (300) so that the data service module (200) can correct the historical capacity curve of the oil well storage tank (Ti) based on the liquid level sensor.
7. Scheduling system according to one of the preceding claims, characterized in that the scheduling system comprises an early warning module,
the early warning module is configured to: and under the condition that the fluctuation value of the capacity parameter exceeds a preset fluctuation threshold value, an early warning signal can be sent to the data service module (200) and/or the vehicle-mounted terminal (300).
8. Scheduling system according to one of the preceding claims, characterized in that the data service module (200) configures the pull sequence as follows:
several well tanks (C) obtained at intervalsj) The productivity parameter of each oil well storage tank (C) is fittedj) And comparing the actual capacity curve with the respective historical capacity curve to obtain each oil well storage tank (C)j) Safe oil discharge time of;
generating the well tank (C) based on the safe unloading timej) The roping sequence of (a).
9. A non-gathering oil well group pull-transporting dispatching method, especially for low-permeability oil field, is characterized by that,
the method comprises the following steps:
oil well storage tanks (T) in different geographical locationsi) On-board monitoring module (100) collects the oil well tank (T)i) And intermittently transmitting the at least one capacity parameter to the data service module (200),
the data service module (200) stores the well tanks (T) in different geographical locations in a manner that enables access to the capacity parametersi) Networking the things and outputting and/or using the same for the oil tank truck (C) according to the productivity parametersj) Oil well tanks (T) having different geographical locationsi) Transporting the crude oil to the oil discharge point (S)k) And in a tanker (C)j) And the transportation scheme can be dynamically updated according to the at least one capacity parameter in the process of executing the transportation scheme and sent to an on-board module (300).
10. The scheduling method of claim 9, wherein the monitoring module (100) is configured with at least two frequencies for transmitting the capacity parameter to the data service module (200),
wherein a first frequency is that the data service module (200) sends the transportation scheme to a tanker truck (C)j) Before, the second frequency is that the data service module (200) sends the transportation scheme to the tanker truck (C)j) After that, the air conditioner is started to work,
wherein the first frequency is less than the second frequency.
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