CN111612208A - Large-scale non-centralized oil transportation well group production and hauling scheduling collaborative optimization system and method - Google Patents
Large-scale non-centralized oil transportation well group production and hauling scheduling collaborative optimization system and method Download PDFInfo
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Abstract
The invention relates to a large-scale non-centralized oil transportation well group production and hauling scheduling collaborative optimization system, which comprises: the system comprises a capacity acquisition module for acquiring capacity parameters of a single-pull tank, a vehicle-mounted monitoring module for acquiring working parameters of the oil tank truck, and a dispatching cloud end arranged in an oil field command center; the dispatching cloud end is respectively in communication connection with the productivity acquisition module and the vehicle-mounted monitoring module, so that the dispatching cloud end can output an oil drawing scheme for drawing crude oil in single drawing tanks with different geographic positions to an oil unloading point by the oil tank truck based on productivity parameters and/or working parameters; the vehicle-mounted monitoring module is connected with an oil discharge module arranged in the well region through a near field communication module. The invention can ensure that the oil tank truck can safely and reliably run and the single-tank-pulling controllable production.
Description
Technical Field
The invention relates to the technical field of intelligent oil transportation engineering, in particular to a system and a method for the production and hauling scheduling collaborative optimization of a large-scale non-centralized oil transportation well group.
Background
The oil wells in the oil field can be divided into two types according to the mode that the produced crude oil pulls the oil outwards: one is a pipeline gathering and transporting well, oil produced by an oil well is directly gathered into a gathering and transporting center through a gathering and transporting pipeline to pull the oil outwards, and most oil wells in the oil field adopt the mode to transport the oil at present. The other is a single-pull-tank well, and the oil pumping wells in remote areas are sparsely distributed at remote positions of each oil extraction operation area due to the geographical positions, so that the cost performance of oil conveying pipelines is extremely low, and the oil is stored and pulled by a large-tank oil storage timing or quantitative oil tank truck. A part of oil field blocks on land in China are low-permeability low-pressure wells, are not suitable for pipeline gathering and transportation, and are constructed with a large number of single-pull tank well groups. In conclusion, the single-pull tank well is abundant in oil field sites and is widely applied.
The liquid level measurement of the big tank beside the current pumping well adopts a manual timing measurement mode, a special vehicle for a specially-assigned person needs to be periodically sent for liquid level measurement, and the oil tank truck also adopts a manual vehicle following escort mode for oil pumping. At present, manpower and material resources are greatly consumed in the oil measuring and drawing mode, the liquid level, the temperature and the water content of an oil tank cannot be mastered in real time, and the risk of full tank shut-in and condensate tank exists, so that an economic and safe method is urgently needed to be found for solving the problem. .
The dispatching of the oil tank truck completely depends on the notification of a dispatching center, the oil well information about the full tank can be passively sensed, the truck is dispatched and the oil is pulled, and all the oil tanks in the oil area cannot be dispatched as a whole. The scheduling mode greatly wastes vehicle resources, and the oil drawing cost of the vehicle is high, so that an optimal scheduling scheme needs to be found to reduce the oil drawing cost.
For example, a non-pipe oil gas transportation, storage and transportation control device and system disclosed in chinese patent publication No. CN108241351A of tank trucks. The system comprises a work area scheduling module, a data center module and a monitoring module which are connected in sequence; the work area scheduling module sends a scheduling command to the data center module through the VPN security gateway; the data center module consists of a server cluster and a monitoring computer and realizes data service of a management platform; the monitoring module realizes data interaction with the data center module through a wireless network. The invention can realize the seamless monitoring of the whole process of the vehicle from a single well to the oil drawing point and then to the oil unloading point.
However, the inventor of the present invention finds that, in the process of actually using the intelligent scheduling system: the wells in low permeability oil fields are mostly in remote fields and have poor communication conditions. On one hand: in the process that the oil tank truck goes to the well tank, the oil tank truck is in a state of possible loss of connection; on the other hand, the capacity parameters of the single-pull tank in poor communication conditions cannot be transmitted to the oil field command center in real time, so that the single-pull tank is in a 'working loss connection' state, and the well area and the oil tank truck are possibly out of control.
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 production and hauling cooperative optimization system for a non-gathering oil well group.
The traditional non-gathering oil transportation and oil pulling process comprises the following steps: crude oil collected by a single well is gathered in the single-pull tank through a short-distance pipeline for temporary storage, then an oil tank truck is manually assigned to the single-pull tank to take oil, and the oil tank truck transports the obtained crude oil to an oil unloading point. However, low-permeability oil fields have low yield, low permeability and low abundance, and are not only large and medium-sized oil fields which are integrally installed, but also small and dispersed oil fields, 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 tank truck are respectively in charge of operating independently, so that the crude oil transportation cost is high, the problems of shaft sand production, wax precipitation, large yield loss and even tank filling and production stopping can be caused, 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.
To this end, the system comprises: the system comprises a capacity acquisition module for acquiring capacity parameters of a single-pull tank, a vehicle-mounted monitoring module for acquiring working parameters of the oil tank truck and a dispatching cloud end arranged in an oil field command center. The dispatching cloud end is respectively in communication connection with the productivity acquisition module and the vehicle-mounted monitoring module, so that the dispatching cloud end can output an oil pulling scheme for the oil tank truck to pull crude oil in the single-pull tank to an oil unloading point, wherein the crude oil is different in geographic position from each other, based on the productivity parameters and/or the working parameters.
However, in the actual production process, part of the well zones of the low-permeability oil field are in the environment of 'working loss connection', and the oil tank truck can enter a communication blind area to be 'lost connection' when running in the field. Thus, after intelligent scheduling is employed, the staff is reduced or the intensity of the staff is reduced, but this entails the risk of no manual monitoring: 1. the productivity parameters of the well zone in the 'work loss connection' can have large deviation; 2. after the tank truck is disconnected, the safety of the tank truck in operation is difficult to guarantee and a driver may privately store the crude oil inside the tank truck. For this reason, it is necessary to monitor the tank truck which may have an "unlink" condition and the well zone which has an "unlink" condition for part of the time. Therefore, the vehicle-mounted monitoring module is connected with the oil unloading module arranged in the well region through the near field communication module. Even when the oil tank truck and the well area are in an 'unlink' state, the oil tank truck and the well area can exchange data. Firstly, the vehicle-mounted monitoring module and the oil unloading module can mutually verify to ensure that the oil unloading work of each other is in accordance with the transportation scheme. And secondly, the productivity parameters can be sent to the dispatching cloud end after being delayed by the vehicle-mounted monitoring module when the oil tank truck enters the communication area, so that the times of sending the productivity parameters to the dispatching cloud end are increased, and the deviation of the productivity parameters can be reduced. And thirdly, the working parameters of the oil tank truck can be transmitted to the dispatching cloud end through the oil unloading module under the condition that the well area is in short communication smoothness, so that the dispatching cloud end can acquire when the oil tank truck appears in the well area, and the oil tank truck can be traced or predicted conveniently. Therefore, through the mode, even if the well area is in the loss connection state and the oil tank truck possibly has the loss connection state, the vehicle-mounted monitoring module and the oil unloading module acquire data mutually, and then the dispatching cloud can verify mutually according to the mutually acquired data, so that the well area and the oil tank truck are in the loss connection running state without loss control, and loss connection but controllable production is realized.
According to a preferred embodiment, the oil unloading module is in communication connection with the capacity acquisition module, so that the capacity parameters acquired by the capacity acquisition module can be indirectly uploaded to the scheduling cloud via the vehicle-mounted monitoring module in the form of point data.
According to a preferred embodiment, the capacity acquisition module directly uploads the capacity parameters to the scheduling cloud intermittently in a form of group data.
According to a preferred embodiment, the dispatching cloud end can coordinate pumping parameters of the corresponding part of pumping units based on the position parameters of the tank trucks so as to adjust the capacity and the yield of the single-pull tank, so as to prevent the crude oil in the single-pull tank from being full.
According to a preferred embodiment, the scheduling cloud end can send the oil pulling scheme to the vehicle-mounted monitoring module and the oil unloading module on the single-pull tank in a one-to-one correspondence mode in the form of an electronic tag, so that the oil unloading module can convey crude oil with the oil amount corresponding to the oil pulling scheme to the tank truck under the condition that the electronic tag and the vehicle-mounted monitoring module are mutually authenticated.
According to a preferred embodiment, the capacity acquisition module is configured with at least two frequencies for sending the capacity parameters to the scheduling cloud, wherein a first frequency is before the scheduling cloud sends the oil pumping scheme to the tank truck, and a second frequency is after the scheduling cloud sends the oil pumping scheme to the tank truck, wherein the first frequency is less than the second frequency.
According to a preferred embodiment, under the condition of the scheduling cloud authorization, the vehicle-mounted monitoring module on the same tank truck can be in communication connection with the corresponding capacity acquisition module on part of the single-pull tanks.
According to a preferred embodiment, a liquid level sensor on the tank truck is in communication connection with the dispatching cloud terminal through the vehicle-mounted terminal, so that the dispatching cloud terminal can correct the historical capacity curve of the single-pull tank based on the liquid level sensor.
According to a preferred embodiment, the collaborative optimization 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 dispatching cloud terminal and/or the vehicle-mounted terminal.
According to a preferred embodiment, the scheduling cloud configures a pull sequence as follows: fitting an actual capacity curve of each single-pull tank according to the capacity parameters of the plurality of discontinuously obtained single-pull tanks, and comparing the actual capacity curve with respective historical capacity curves to obtain the safe oil discharge time of each single-pull tank; generating a haul sequence for the single-pull tank based on the safe oil discharge time.
According to a preferred embodiment, the invention also discloses a non-gathering oil well group hauling monitoring method which is used for the collaborative optimization system.
Drawings
FIG. 1 is a block diagram of a collaborative optimization system according to the present invention; and
fig. 2 is a schematic drawing of oil in a collaborative optimization system according to the present invention.
List of reference numerals
100: capacity collection module 300: vehicle-mounted monitoring module
200: the scheduling cloud 400: oil unloading module
Ti: single-pull can Sk: oil unloading point
O: oil field command center Cj: oil tank truck
Detailed Description
This is described in detail below with reference to figures 1 and 2.
In the present invention, the main terms explain:
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 amount of the single-pull tank, and includes at least one of the crude oil level in the storage tank, the pressure in the storage tank, the crude oil inlet flow and the like.
The oil drawing scheme comprises the sequence of single drawing tanks, the oil quantity, the traveling route and the like of each single drawing tank, the oil carrying capacity of the oil tank truck, the running speed of the oil tank truck and the like. Namely: single-pull cans T having different geographical positionsiThe crude oil in the oil tank is pulled to an oil unloading point Sk。
The working parameters are as follows: the geographic location, travel path, travel time, etc. of the tank truck.
Dot pattern data (t: H): one time point corresponds to the relationship of one productivity parameter. For example, at time t: the point data is given by 01 minutes 01 seconds at 01 hours 1 month 1 day 2020, and 20L for a crude oil level H (20L at 01 minutes 01 seconds at 01 hours 1 month 1 day 2020).
Group type data (t 1: Δ t: Δ H): and calculating the corresponding relation of the variable quantity of the capacity parameters in a period of time according to the capacity parameters corresponding to the time points. For example, at time t 1: 01 minutes 01 seconds at 1 month 1 day 01 of 2020, crude level 20L, at time t 2: when 02 minutes and 01 seconds are given at 01 st 1 st 2020, and the crude oil level is 20.02L, the variation is 0.02L/min, and the group type data is expressed as (01 minutes and 01 seconds: 1 min: 0.02L/min at 01 st 1 st 2020).
Example 1
The embodiment discloses a large-scale non-centralized oil transportation well group production and hauling scheduling collaborative optimization system. The system comprises a capacity acquisition module 100, a scheduling cloud 200 and a vehicle-mounted monitoring module 300. As shown in fig. 2, the capacity collection module 100 is communicatively connected to the scheduling cloud 200. The vehicle-mounted monitoring module 300 is in communication connection with the scheduling cloud 200. The module in the invention refers to: hardware, software, or a combined data processor capable of performing its associated steps.
The scheduling cloud 100 generates an oil pulling scheme based on the energy production parameters, the number of vehicles of the oil tank truck, the oil loading capacity, road conditions, weather factors and the like according to the intelligent scheduling model. The pull-in scheme is distributed in the form of a mission to the on-board monitoring and monitoring module 300 of the tank truck. And the driver executes the oil drawing according to the oil drawing scheme after confirming the oil drawing scheme. The dispatching cloud 200 can obtain the productivity parameters of the single-pull cans Ti at different geographic positions to form an internet of things. And, in the process of the tank truck executing the oil pulling scheme, it may also acquire the driving parameters of the vehicle-mounted monitoring module 300.
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 scheduling cloud 200 includes an operating system, a CPU memory bank, a CPU, a display screen, and the like.
Vehicle monitoring 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 cooperative optimization system in real time in the whole operation process of oil loading, oil drawing 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 to the system, can't open at drawing the oil on the way valve, the tank wagon only supports after transporting 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 oil-drawing 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 monitoring 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 collaborative optimization system, common management of an IC card and a handheld terminal, intelligent sealing/unsealing and antitheft. The whole oil drawing process can be linked with the electronic lead seal, automatic intelligent risk analysis is carried out, and whole-process visual tracking is achieved.
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 oil tank vehicles:
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, the vehicle-mounted monitoring module 300 is connected with the oil discharge module 400 arranged in the well region through a near field communication module. For example, the on-board monitoring module 300 and the oil drain module 400 may be connected through bluetooth, Wifi, or the like. The oil drain module 400 is preferably a smart lock. Firstly, the vehicle-mounted monitoring module and the oil unloading module can mutually verify to ensure that the oil unloading work of each other is in accordance with the transportation scheme. And secondly, the productivity parameters can be sent to the dispatching cloud end after being delayed by the vehicle-mounted monitoring module when the oil tank truck enters the communication area, so that the times of sending the productivity parameters to the dispatching cloud end are increased, and the deviation of the productivity parameters can be reduced. And thirdly, the working parameters of the oil tank truck can be transmitted to the dispatching cloud end through the oil unloading module under the condition that the well area is in short communication smoothness, so that the dispatching cloud end can acquire when the oil tank truck appears in the well area, and the oil tank truck can be traced or predicted conveniently. Therefore, through the mode, even if the well area is in the loss connection state and the oil tank truck possibly has the loss connection state, the vehicle-mounted monitoring module and the oil unloading module acquire data mutually, and then the dispatching cloud can verify mutually according to the mutually acquired data, so that the well area and the oil tank truck are in the loss connection running state without loss control, and loss connection but controllable production is realized.
Since the single-pull cans are located in remote areas, if the capacity acquisition module 100 transmits data to the scheduling cloud in real time, the communication cost is inevitably increased, and therefore, the capacity acquisition module 100 intermittently transmits the capacity parameters to the scheduling cloud. Preferably, the capacity collection module 100 directly and intermittently uploads the capacity parameters to the scheduling cloud 200 in a form of group data. The group type data can reflect the variation trend of the capacity parameters of the single-pull tank within a period of time, and can be used for predicting the yield of the single-pull tank and determining the safe oil discharge time; however, since the group type data is the variation of the capacity parameter of the single-pull tank in a period of time, how the designed capacity of the single-pull tank varies in the period of time cannot be obtained, so that the capacity parameter curve can generate accumulated errors in a longer time. To this end, the oil drain module 400 is preferably in communication with the capacity collection module 100. The oil unloading module 400 and the productivity acquisition module 100 can be connected through communication protocols such as Bluetooth, NB-lot, EnOcean, etc. The capacity collection module 100 can transmit the collected capacity parameters to the oil discharge module 400 in real time. The oil discharge module can cache the productivity parameters. Under the condition that the oil discharging module 400 is in communication connection with the on-board monitoring module 300, the oil discharging module 400 can transmit the capacity parameter to the on-board monitoring module 300 in a point type data manner. The vehicle-mounted monitoring module 300 may transmit the capacity parameter saved by the point data to the dispatching cloud 100 under the condition of establishing communication with the dispatching cloud 200. Since the point data can reflect the productivity parameters corresponding to a plurality of moments, especially the productivity parameters corresponding to each moment in a period of time for calculating the group data, the scheduling cloud 200 can correct the productivity history curve of the single-pull tank or re-fit the productivity history curve in combination with the point data, and reduce the accumulated error.
Example 3
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.
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 single-pull tank and the oil unloading point. And for economic maximization and capacity benefit, the oil tank truck can serve different single-pull tanks in one oil-pulling task process. 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 oil pulling scheme by the oil tank truck, various uncertain factors such as quick oil inlet flow of crude oil in a single pull tank, anchoring of the oil tank truck, weather change, debris flow and the like can be encountered in the oil pulling operation process of crude oil in an oil field. Moreover, the low-permeability oil field adopts a non-gathering and transporting mode to pull oil from crude oil, so that once a single pull tank of the low-permeability oil field 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, and the pumping well is scrapped. Therefore, in the process of executing the oil pulling 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 an urgent problem to be solved in the field.
Preferably, in a single-tank area, the capacity acquisition module 100 comprises an YDPT150W multi-parameter integrated transmitter and an 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 capacity collection module 100 sends the capacity parameters to the scheduling cloud 200 in an intermittent manner.
To this end, the present embodiment provides a large-scale non-gathering production system for oil wells, particularly for low permeability oil fields, comprising: the capacity acquisition modules on the single-pull cans in different geographic positions are used for acquiring at least one capacity parameter of the single-pull can and intermittently transmitting the at least one capacity parameter to the dispatching cloud, and the dispatching cloud: the system comprises a single-pull-can networking system, an oil pulling scheme and a vehicle-mounted monitoring module, wherein the single-pull-can networking system is used for networking single-pull-cans in different geographic positions according to the mode that the capacity parameters can be obtained, the oil pulling scheme is used for a tank truck to pull crude oil in the single-pull-cans in different geographic positions to an oil unloading point according to the capacity parameters, the oil pulling scheme can be dynamically updated according to at least one capacity parameter and sent to the vehicle-mounted monitoring module in the process that the tank truck executes the oil pulling scheme, the vehicle-mounted monitoring module is arranged on the tank truck and is in communication connection with a dispatching cloud terminal, and the dispatching cloud terminal can dynamically update the oil pulling scheme based on the running parameters of the tank truck and feeds the oil pulling scheme back to the vehicle-mounted monitoring module in the process that the tank.
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 the oil-drawing scheme and/or update the oil-drawing scheme according to the continuous yield reflected by the discontinuous capacity parameters is a problem to be further solved.
However, during the oil pulling scheme of the tank truck, during the oil pulling operation of the crude oil in the oil field, many uncertain factors such as a fast oil inlet flow of the single-pull-tank crude oil, a dropping of the tank truck, weather changes, debris flow and the like are encountered. Moreover, the low-permeability oil field adopts a non-gathering and transporting mode to pull oil from crude oil, so that once a single pull tank of the low-permeability oil field 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, and the pumping well is scrapped.
Preferably, the dispatch cloud 200 is located at the tanker CjAnd the oil drawing scheme can be dynamically updated according to at least one productivity parameter in the process of executing the oil drawing scheme. For example, the original oil-drawing scheme is (T)1→T2→T3→T4The oil quantity to be discharged of each single-pull tank is (V)1→V2→V3→V4. For example, in tank wagons CjWhen the oil-drawing scheme is executed, T3The liquid level in the single-pull tank increases at a higher speed, and the tank truck C at this timejIs on T3The dispatch cloud 200 may be based on T for single pull tank oil loading3And updating the oil drawing scheme by the liquid level in the single drawing tank. For example, the more recent oil-drawing scheme is: (T)1→T3→T4And T is2The single-pull tank is distributed by another oil tank truck CjDrawing oil。Alternatively, the more recent oil-pulling scheme may also be: (T)1→T2→T3→T4And the oil to be discharged of each single-pull tank is respectively (V)1→V20→V30→V4，V20Less than V2，V30Greater than V30。The dynamically updated oil pumping scheme is sent to the vehicle monitoring module 300.
Preferably, the dispatch cloud 200 can be located at tank truck CjThe process of executing the oil pulling scheme is based on an oil tank truck CjThe oil pumping scheme is dynamically updated according to the running parameters. . 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 vehicle-mounted monitoring module 300 includes a GPS positioning system, and the scheduling cloud 200 can obtain the location parameters thereof. Such as, for example, the original transportation scheme being (T)1→T2→T3→T4) The oil quantity to be discharged of each single-pull 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 single-pull can, during which T2The single pull can is continuously taking oil, and at the moment, the data service module 200 can update the T according to the position parameter2Oil 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 dispatch cloud 200 can be based on tank truck CjThe position parameters of the oil pumping unit coordinate with the oil pumping parameters of the corresponding part of the oil pumping unit to adjust the productivity and yield of the single-pull tank Ti, so as to prevent the crude oil in the single-pull tank Ti from being filled. Such as, for example, the original transportation scheme being (T)1→T2→T3→T4) The oil quantity to be discharged of each single-pull 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 single-pull can, during which T2The single pull can is continuously taking oil, then at this point, the data service module 200 can send out an adjustment instruction to adjust T2And the operating frequency of the pumping unit corresponding to the single-pull tank is reduced, such as the rotating speed of the motor.
Preferably, the scheduling cloud 200 can send the oil drawing scheme to the vehicle-mounted monitoring module 300 and the single-drawn tank T in a one-to-one correspondence manner in the form of an electronic tagiThe oil unloading module 400, so that the oil unloading module 400 can be used for loading the oil tank truck C under the condition that the electronic tag and the vehicle-mounted monitoring module 300 are mutually authenticatedjCrude oil is transported in an amount corresponding to the draw schedule. 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 extraction worker uses the key to open the protection lock and manually opens the valve to perform oil drainage 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 tank truck C is authorized by the dispatch cloud 200jThe on-board monitoring module 300 can be partially drawn into the tank T corresponding theretoiThe capacity collection module 100 is connected in communication. Preferably, a tank wagon CjThe liquid level sensor is in communication connection with the scheduling cloud 200 via the vehicle-mounted terminal 300, so that the scheduling cloud 200 can correct the historical capacity curve of the single-pull 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 tank wagon enters a field area, the liquid level of the storage tank is read by the handheld terminal, and after network conditions are met, the tank wagon is generally uploaded to the single-tank intelligent cooperative optimization 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 productivity parameters exceeds a preset fluctuation threshold value, an early warning signal can be sent to the dispatching cloud 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. Steal oil and can take place the random time outside the oil filling, and great fluctuation can take place for the liquid level, and at this moment, dispatch high in the clouds 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 dispatching cloud 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.
PreferablyScheduling cloud 200: several single-drawn cans C obtained at intervalsjThe productivity parameters are fitted to obtain each single-pull tank CjActual capacity curve of (2). And comparing the actual capacity curve with the respective historical capacity curve to obtain each single-pull can CjThe safe oil discharge time. And generating a single-pull can C based on the safe oil discharge timejThe roping sequence of (a). The scheduling cloud 200 stores historical capacity curves for each single pull can. 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 in the single-pull tank is full, and the time period from the time point to the time when the oil in the single-pull tank is full (the former time period) is greater than or equal to the time period from the oil field command center to the oil in the single-pull tank (the latter time period). Generally, the time length of the former is longer than 5-20% of the time length of the latter. And arranging the pulling and transporting sequence of the single pull tank according to the safe oil unloading time, and determining the oil unloading amount of the single pull tank each time according to the storage amount of the oil pull storage tank.
Preferably, the capacity collection module 100 is configured with at least two frequencies for sending the capacity parameters to the scheduling cloud 200. Wherein the first frequency corresponding scheduling cloud 200 sends the oil pulling scheme to the tank wagon CjBefore, the second frequency corresponding scheduling cloud 200 sends the oil pulling scheme to the tank truck CjAnd then, wherein the first frequency is less than the second frequency. This kind of setting, mainly be when the oil-drawn tank car begins to carry out the transportation scheme, the oil mass of singly drawing the jar has exceeded the oil mass that safe oil discharge time corresponds, in order to prevent that singly drawing the jar full oil and leading to the emergence of shutting down, first frequency is less than the second frequency, and at this moment, the moment that dispatch cloud end 200 can acquire the oil mass of singly drawing the jar becomes many, and it can implement the working parameter that dynamic adjustment transportation scheme and/or coordinate the change beam-pumping unit and then change the productivity parameter of being convenient for.
Example 4
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 the tank truck oil-pulling unit and the 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 blocked by lead by a monitoring person of an oil extraction unit, so that the crude oil is prevented from being stolen during oil loading;
(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 tank truck are as follows:
(1) after the oil tank truck enters the combined station oil draining platform, the oil tank truck is subjected to the 1 st weighing by the in-station worker to obtain the empty truck weight, and the 1 st weighing data is input by the in-station worker through the oil pulling management platform;
(2) workers in the station distribute intelligent locks to the oil tank truck, and lock three positions of an oil loading port and an observation port at the top of the oil tank and an oil drainage port at the bottom of the oil tank, so that the oil tank can not load and unload crude oil during the crude oil transportation process;
(3) workers in the station distribute an unlocking intelligent terminal and an operation recorder to a driver of the oil tank truck, and the truck leaves a departure point of the united station and goes to an oil drawing point to draw oil for loading and transporting;
(4) after the oil tank vehicle enters an oil pulling point, a driver stops the vehicle, performs safety inspection, performs static electricity discharge and connects oil charging hoses 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 to an oil drainage 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 tank truck 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 tank truck removes the oil filling hose, closes the oil filling port at the top of the oil 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 tank truck 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) and (3) the vehicle returns to an 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 tank vehicle finishes weighing for the 2 nd weighing, and the worker 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 truck enters an 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 drain oil from 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 the tank wagon relates to includes that 2 departments of tank deck open the 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 tank wagon management level.
Example 5
The present embodiment also discloses a method for monitoring the hauling of a non-gathering cluster of wells, 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:
single-pull can T acquired by capacity acquisition module 100iThe productivity parameter of (1).
The vehicle-mounted monitoring module 300 collects the oil tank truck CiThe operating parameters of (1).
The scheduling cloud 200 can output data for the tank truck C based on the productivity parameters and/or the working parametersjSingle-pull cans T having different geographical positionsiThe crude oil in the oil tank is pulled to an oil unloading point SkThe oil pull scheme of (a) is used for the vehicle monitoring module 300 for collection.
The vehicle-mounted monitoring module 300 is connected with the oil discharge module 400 arranged in the well region through a near field communication module.
Preferably, the scheduling cloud 200 is configured to generate an electronic tag corresponding to the oil pull-out scheme for mutual authentication between the oil unloading module 400 and the on-board monitoring module 300.
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 large-scale non-centralized oil transportation well group production and hauling scheduling collaborative optimization system comprises:
for collecting single-pull cans (T)i) A capacity acquisition module (100) for the capacity parameter,
for collecting tank trucks (C)i) An on-board monitoring module (300) for the operating parameters of, and
a dispatching cloud (200) arranged in an oil field command center (O),
wherein the content of the first and second substances,
the dispatching cloud (200) is respectively in communication connection with the capacity acquisition module (100) and the vehicle-mounted monitoring module (300), so that the dispatching cloud (200) can output the capacity parameters and/or the working parameters for the tank truck (C)j) Said single-pull cans (T) having geographical locations different from each otheri) The crude oil in the oil tank is pulled to an oil unloading point (S)k) The oil-drawing scheme of (1);
it is characterized in that the preparation method is characterized in that,
the vehicle-mounted monitoring module (300) and the oil discharge module (400) arranged in the well region can establish data connection.
2. The collaborative optimization system according to claim 1, wherein the dispatch cloud (200) is configured to generate an electronic tag corresponding to the pull-out scheme for mutual authentication of the oil unloading module (400) and the on-board monitoring module (300).
3. The collaborative optimization system according to claim 1 or 2, wherein the oil discharge module (400) is communicatively connected with the capacity collection module (100) such that the capacity parameters collected by the capacity collection module (100) can be uploaded indirectly to the dispatch cloud (200) via the on-board monitoring module (300) in a point-type data manner.
4. The collaborative optimization system according to one of the preceding claims, wherein the capacity collection module (100) intermittently uploads the capacity parameters directly to the dispatch cloud (200) as group data.
5. The collaborative optimization system according to one of the preceding claims, characterized in that the dispatch cloud (200) can be based on the tank truck (C)j) Coordinates the pumping parameters of the corresponding part of pumping units to adjust the single-pull tank (T)i) For preventing said single pull can (T)i) The crude oil in the tank is full.
6. Co-optimization system according to one of the preceding claims, characterized in that said tank wagon (C)j) The liquid level sensor is in communication connection with the dispatching cloud end (200) through the vehicle-mounted terminal (300), so that the dispatching cloud end (200) can correct the historical capacity curve of the single-pull tank (Ti) based on the liquid level sensor.
7. The collaborative optimization system according to one of the preceding claims, characterized in that the collaborative optimization system comprises an early warning module,
the early warning module is 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 dispatching cloud terminal (200) and/or the vehicle-mounted terminal (300).
8. The collaborative optimization system according to one of the preceding claims, wherein the scheduling cloud (200) configures a pull sequence as follows:
several single-drawn cans (C) obtained intermittentlyj) The productivity parameter of each single-pull can (C) is fittedj) OfObtaining each single-pull can (C) by comparing the actual capacity curve with the respective historical capacity curvej) Safe oil discharge time of;
generating the single-pull can (C) based on the safe oil discharge timej) The roping sequence of (a).
9. A non-gathering oil well group hauling monitoring method comprises the following steps:
the single-pull cans (T) are collected by a capacity collection module (100)i) The productivity parameter of (a) the process,
the vehicle-mounted monitoring module (300) collects the oil tank truck (C)i) The operating parameters of (a) and (b),
the dispatch cloud (200) is capable of outputting for the tank truck (C) based on the capacity parameter and/or the operating parameterj) Said single-pull cans (T) having geographical locations different from each otheri) The crude oil in the oil tank is pulled to an oil unloading point (S)k) The oil-drawing scheme of (2) is used for an on-board monitoring module (300) for collection,
it is characterized in that the preparation method is characterized in that,
and the vehicle-mounted monitoring module (300) is in data connection with an oil discharge module (400) arranged in the well region.
10. The monitoring method according to claim 9, characterized in that the dispatch cloud (200) is configured to be able to generate an electronic tag corresponding to the pull-out scheme for mutual authentication of the oil-discharge module (400) and the on-board monitoring module (300).
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| CN113291652A (en) * | 2021-05-17 | 2021-08-24 | 山东浪潮科学研究院有限公司 | Oil mass monitoring system of oil storage tank in remote area based on big dipper three |
| CN113840237A (en) * | 2021-09-27 | 2021-12-24 | 广州吉码电子科技股份有限公司 | Vehicle monitoring method, system, medium and vehicle-mounted terminal based on electronic lead seal |
| CN114091852A (en) * | 2021-11-10 | 2022-02-25 | 浙江文谷科技有限公司 | Method and system for monitoring production efficiency of equipment, electronic equipment and storage medium |
| CN114827778A (en) * | 2022-07-01 | 2022-07-29 | 深圳市信润富联数字科技有限公司 | Method, system, equipment and computer readable storage medium for monitoring oil storage tank |
| CN114827778B (en) * | 2022-07-01 | 2022-09-16 | 深圳市信润富联数字科技有限公司 | Method, system, equipment and computer readable storage medium for monitoring oil storage tank |
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