CN116664083A - Digital management method, system and storage medium for oil gas production - Google Patents
Digital management method, system and storage medium for oil gas production Download PDFInfo
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Abstract
The invention discloses a digital management method, a digital management system and a storage medium for oil gas production, which relate to the technical field of oil gas production and comprise the following steps: step S1, establishing a digital model of an oil gas production area, wherein the digital model of the oil gas production area comprises a storage data model and a exploitation data model; step S2, an oil gas exploitation period model is established, and the oil gas exploitation period model is used for presetting exploitation parameters according to basic information of an oil gas field; step S3, the digitalized model of the oil gas production area and the oil gas exploitation period model updated each time are sent to staff, and the staff timely adjusts the actual situation based on the updating result; the invention is used for solving the problem that the prior art lacks effective management and control of oil gas production according to real-time data.
Description
Technical Field
The invention relates to the technical field of oil gas production, in particular to a digital management method, a digital management system and a storage medium for oil gas production.
Background
Oil and gas production refers to the activities of extracting oil and gas from an oil and gas reservoir to the surface, collecting, hauling, processing, on-site storage, mining area management and the like in a mining area; oil gas development refers to the economic activity of implementing capacity construction and oil gas production on the ascertained oil and gas field; the capacity construction refers to the completion of engineering for well pattern drilling and corresponding ground facilities, which is not only carried out intensively before large-scale production, but also carried out in a production process continuously in a complementary manner so as to compensate the natural decrease of the oil well yield or improve the capacity. When oil gas is produced, corresponding manpower, materials and power are input, and the production well is maintained and necessary underground operation is performed; there is relative independence between capacity construction and oil and gas production, both of which must be based on in-depth knowledge of the field geology and its changes.
The prior art is applied to the improvement of the management of oil and gas production, generally, the equipment in the oil and gas production process is improved to achieve the purposes of reducing the resource occupation and improving the operation efficiency, for example, in the invention patent with publication number of CN115857459A, an oil and gas production management and control system is disclosed.
Disclosure of Invention
Aiming at the defects existing in the prior art, the invention acquires and timely analyzes the acquired data in the oil gas exploitation process and the acquired data of exploitation equipment in real time by establishing the digital model and the oil gas exploitation period model of the oil gas production area, and presets the exploitation parameters according to the basic information of the oil gas acquisition area so as to solve the problem that the prior art lacks effective management and control of oil gas production according to the real-time data.
To achieve the above object, in a first aspect, the present invention provides a method for digitally managing oil and gas production, comprising:
step S1, establishing a digital model of an oil gas production area, wherein the digital model of the oil gas production area comprises a stored data model and a exploitation data model, and the digital model of the oil gas production area is used for monitoring and updating stored data and exploitation data in the oil gas field production process;
step S2, an oil gas exploitation period model is established, the oil gas exploitation period model is used for presetting exploitation parameters according to basic information of an oil gas field, the exploitation parameters comprise a working condition data acquisition schedule and total energy consumption, the working condition data acquisition schedule is used for setting the moment of acquisition tasks of acquisition equipment, and the total energy consumption is the electric quantity required to be consumed by the oil gas field every day;
and step S3, the digitalized model of the oil gas production area and the oil gas production period model updated each time are sent to staff.
Further, the step S1 includes the following sub-steps:
step S101, a stored data model is established, and the stored data model is used for monitoring and updating stored data in an oil-gas field;
Step S102, a production data model is established, wherein the production data model comprises production monitoring equipment, and the production monitoring equipment is used for monitoring production equipment used in a production process in an oil-gas field;
and step S103, establishing a digital model of the oil and gas production area based on the stored data model and the exploitation data model.
Further, the step S101 includes the following sub-steps:
step S1011, acquiring historical working condition data and a working condition data acquisition timetable in an oil and gas field;
dividing historical working condition data in an oil-gas field according to recorded departments and storing the historical working condition data in a historical folder, wherein the historical folder comprises a historical folder 1 to a historical folder N, each historical folder corresponds to one recording object and a submitting object, the recording object is an acquisition object when acquiring collected data, and the submitting object is an object for submitting the working condition data;
step S1012, acquiring the moment corresponding to the last acquisition task based on a working condition data acquisition timetable, recording the moment as the acquisition moment, and transmitting a data acquisition signal to a station of the oil-gas field at the acquisition moment to acquire acquisition data, wherein the acquisition data is working condition data;
Step S1013, verifying the validity of the acquired data, marking the valid acquired data as valid data, and marking the invalid acquired data as invalid data;
step S1014, processing invalid data and valid data;
step S1015, obtaining an input object of effective data, obtaining a history folder corresponding to the input object, creating a subfolder in the history folder by taking the moment corresponding to the acquisition task at the time as a name, placing the input object in the subfolder of the history folder and sending a real-time password to a submitted object, wherein the real-time password can be used for opening the subfolder in the history folder.
Further, the step S1013 includes the following sub-steps:
step V131, setting an acquisition threshold interval 1 to an acquisition threshold interval Z based on the acquired working condition data, wherein each acquisition threshold interval corresponds to the working condition data in one data format; acquiring a data format library, wherein the data format library comprises a format corresponding to the acquired working condition data;
v132, acquiring the format of each attribute data in the acquired data, and recording the data format 1 to the data format X, wherein X is a positive integer;
sequentially matching all the data formats from the data format 1 to the data format X with the data formats in the data format library;
When all the data formats from the data format 1 to the data format X can be matched with the data formats in the data format library, recording the acquired data as pending data;
when any one of the data formats 1 to X cannot be matched with the data formats in the data format library, marking the acquired data as invalid data;
step V133, dividing the undetermined data into test data 1 to test data X according to the data format; comparing the value of each inspection data with the corresponding acquisition threshold interval according to the data format;
when all the inspection data are in the corresponding acquisition threshold interval, marking the undetermined data as effective data;
and when any one of the check data is not in the corresponding acquisition threshold interval, marking the undetermined data as invalid data.
Further, the step S1014 includes the following sub-steps:
step V141, when the acquired data is invalid data, acquiring an input object of the invalid data, accumulating the failure times of the input object of the invalid data by 1, and then retransmitting a data acquisition signal to the input object and checking the validity of the acquired data acquired newly;
when the failure times of the input object are greater than or equal to a first standard threshold value, stopping using the input object, and sending a fault signal of the input object; wherein the failure times are initially 0;
And step V142, when the acquired data is effective data, acquiring an input object of the effective data, setting the failure times of the input object of the effective data to 0, and updating a next time node preset in a working condition acquired data schedule to a time corresponding to a next acquisition task.
Further, the step S102 includes the following sub-steps:
step S1021, marking the exploitation devices in the oil and gas field as exploitation devices 1 to M;
step S1022, for any one of the mining apparatuses 1 to M, recording mining data of the mining apparatus, including mining time, mining energy consumption, and mining amount, when the mining apparatus starts to operate;
analyzing the exploitation data, and marking exploitation equipment as normal equipment, primary abnormal equipment and secondary abnormal equipment based on analysis results;
step S1023, processing the first-level abnormal equipment and the second-level abnormal equipment, and sending the processing results to staff.
Further, the step S1022 includes the following sub-steps:
v221, acquiring the exploitation time of exploitation equipment, and marking the exploitation equipment as first-level abnormal equipment when the exploitation time is smaller than or equal to the first standard exploitation time or larger than or equal to the second standard exploitation time;
When the mining time is smaller than the second standard mining time and larger than the first standard mining time, marking the mining equipment as first checking equipment;
step V222, acquiring mining energy consumption of the first checking equipment;
when the mining energy consumption is greater than or equal to the first standard energy consumption, acquiring the mining quantity at the moment; when the exploitation amount is larger than or equal to the first standard amount, marking exploitation equipment as normal equipment; when the exploitation amount is smaller than the first standard amount, marking exploitation equipment as first-level abnormal equipment;
when the mining energy consumption is greater than or equal to the second standard energy consumption and less than the first standard energy consumption, acquiring the mining amount at the moment; when the exploitation amount is larger than or equal to the second standard amount and smaller than the first standard amount, marking the exploitation equipment as normal equipment; when the exploitation amount is smaller than the second standard amount, marking the exploitation equipment as first-level abnormal equipment; and when the production amount is larger than or equal to the first standard amount, marking the production equipment as second-level abnormal equipment.
Further, the step S1023 includes the following sub-steps:
step V231, accumulating 1 the failure times of the mining equipment when the mining equipment is marked as first-level abnormal equipment, and sending the mining equipment abnormal signal to staff, wherein the failure times are initially 0;
When the failure times of the mining equipment are larger than or equal to a first failure threshold value, marking the mining equipment as failure equipment, sending the failure of the mining equipment to staff, and clearing the failure times of the mining equipment after the staff processes;
and step V232, when the mining equipment is marked as second-level abnormal equipment, acquiring a mining area corresponding to the mining equipment, and sending the mining area abnormality to staff.
Further, step S1 further includes: integrating the storage data model and the exploitation data model, and regulating and controlling the storage data model and the exploitation data model by using a digital model of an oil gas production area.
Further, the step S2 includes the following sub-steps:
step S201, basic information of an oil and gas field is obtained, wherein the basic information comprises the exploitation area of an area where the oil and gas field is located and the number of exploitation equipment;
step S202, the working condition data acquisition timetable comprises a first timetable, a second timetable, a third timetable and a fourth timetable;
when the mining area is larger than or equal to the first standard area and the number of the mining equipment is smaller than or equal to the first standard number, setting a working condition data acquisition timetable as a first timetable;
When the mining area is larger than or equal to the first standard area and the number of the mining equipment is larger than the first standard number, setting the working condition data acquisition timetable as a second timetable;
when the mining area is smaller than the first standard area and the number of the mining equipment is smaller than or equal to the first standard number, setting the working condition data acquisition timetable as a third timetable;
when the mining area is smaller than the first standard area and the number of the mining equipment is larger than the first standard number, setting the working condition data acquisition timetable as a fourth timetable;
step S203, when the number of the exploitation devices is greater than or equal to the first standard number, setting the total energy consumption as alpha standard energy consumption;
when the number of mining equipment is less than the first standard number, setting the total energy consumption as beta standard energy consumption.
The invention provides a digital management system for oil and gas production, which comprises a digital model building module, a periodic model building module and a terminal processor, wherein the digital model building module, the periodic model building module and the terminal processor;
the digital model building module is used for building a digital model of an oil gas production area, wherein the digital model of the oil gas production area comprises a stored data model and a exploitation data model, and the digital model of the oil gas production area is used for monitoring and updating stored data and exploitation data in the oil gas field production process;
The period model building module is used for building an oil gas exploitation period model, the oil gas exploitation period model is used for presetting exploitation parameters according to basic information of an oil gas field, the exploitation parameters comprise a working condition data acquisition schedule and total energy consumption, the working condition data acquisition schedule is used for setting the moment of acquisition tasks of acquisition equipment, and the total energy consumption is the electric quantity required to be consumed by the oil gas field every day;
the terminal processor is used for sending the digitized model of the oil gas production area and the oil gas exploitation period model which are updated each time to staff.
In a third aspect, the invention provides a storage medium having stored thereon a computer program, characterized in that the computer program, when executed by a processor, performs the steps of the method according to any of the preceding claims.
The invention has the beneficial effects that: the invention monitors and updates the stored data in real time by establishing the digital model of the production area, analyzes the collected data, divides the collected data into effective data and ineffective data, encrypts the effective data when uploading, and sends the real-time password to the submitted object;
The invention also carries out real-time monitoring and updating on the exploitation data, analyzes the exploitation data of the exploitation equipment, divides the exploitation equipment and processes the exploitation equipment based on the division result, and has the advantages that the exploitation condition of the exploitation equipment can be monitored in time and workers can be reminded of maintaining the exploitation equipment with problems in time, so that potential safety hazards caused by the problems of the exploitation equipment are prevented;
the invention also presets the exploitation parameters based on the basic information of the oil and gas field by establishing the oil and gas exploitation period model, which has the advantages that the exploitation parameters can be prepared for the exploitation of the oil and gas in advance by the preset values of the exploitation parameters, thereby being beneficial to improving the efficiency of the exploitation of the oil and gas and reducing the times of occurrence of problems in the exploitation process of the oil and gas.
Additional aspects of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
Other features, objects and advantages of the present invention will become more apparent upon reading of the detailed description of non-limiting embodiments, given with reference to the accompanying drawings in which:
FIG. 1 is a flow chart of a method for digitally managing oil and gas production according to the present application;
FIG. 2 is a schematic block diagram of a digital management system for oil and gas production in accordance with the present application;
FIG. 3 is an analytical schematic of the production facility of the present application.
Detailed Description
It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the present application.
Embodiments of the application and features of the embodiments may be combined with each other without conflict.
Example 1
Referring to fig. 1, in a first aspect, the present application provides a method for digitally managing oil and gas production, including:
step S1, establishing a digital model of an oil gas production area, wherein the digital model of the oil gas production area comprises a stored data model and a exploitation data model, and the digital model of the oil gas production area is used for monitoring and updating stored data and exploitation data in the oil gas field production process;
Step S1 comprises the following sub-steps:
step S101, a stored data model is established, and the stored data model is used for monitoring and updating stored data in an oil-gas field;
step S101 includes the following sub-steps:
step S1011, acquiring historical working condition data and a working condition data acquisition timetable in an oil and gas field;
dividing historical working condition data in an oil-gas field according to recorded departments and storing the historical working condition data in a historical folder, wherein the historical folder comprises a historical folder 1 to a historical folder N, each historical folder corresponds to one recorded object and a submitted object, the recorded object is an acquisition object when acquiring collected data, and the submitted object is an object for submitting the working condition data;
step S1012, acquiring the moment corresponding to the last acquisition task based on the working condition data acquisition timetable, recording the moment as the acquisition moment, and transmitting a data acquisition signal to a station of the oil-gas field at the acquisition moment to acquire acquisition data, wherein the acquisition data is the working condition data;
in the specific implementation process, the last acquisition task refers to the acquisition task which is the latest moment in the acquisition tasks which are not started;
step S1013, verifying the validity of the acquired data, marking the valid acquired data as valid data, and marking the invalid acquired data as invalid data;
Step S1013 includes the following sub-steps:
step V131, setting an acquisition threshold interval 1 to an acquisition threshold interval Z based on the acquired working condition data, wherein each acquisition threshold interval corresponds to the working condition data in one data format; acquiring a data format library, wherein the data format library comprises a format corresponding to the acquired working condition data;
in a specific implementation process, acquiring historical working condition data corresponding to a data format under a normal running condition for any one of an acquisition threshold interval 1 to an acquisition threshold interval Z, and recording a threshold interval formed by the maximum value and the minimum value of the historical working condition data as an acquisition threshold interval corresponding to the working condition data of the data format;
v132, acquiring the format of each attribute data in the acquired data, and recording the data format 1 to the data format X, wherein X is a positive integer;
sequentially matching all the data formats from the data format 1 to the data format X with the data formats in the data format library;
in the specific implementation process, the step is to remove the acquired data with incorrect data format;
when all the data formats from the data format 1 to the data format X can be matched with the data formats in the data format library, recording the acquired data as pending data;
When any one of the data formats 1 to X cannot be matched with the data formats in the data format library, marking the acquired data as invalid data;
step V133, dividing the undetermined data into test data 1 to test data X according to the data format; comparing the value of each inspection data with the corresponding acquisition threshold interval according to the data format;
when all the inspection data are in the corresponding acquisition threshold interval, marking the undetermined data as effective data;
when any one of the inspection data is not in the corresponding acquisition threshold interval, marking the undetermined data as invalid data;
step S1014, processing invalid data and valid data;
step S1014 includes the following sub-steps:
step V141, when the acquired data is invalid data, acquiring an input object of the invalid data, accumulating the failure times of the input object of the invalid data by 1, and then retransmitting a data acquisition signal to the input object and checking the validity of the acquired data acquired newly;
when the failure times of the input object are greater than or equal to a first standard threshold value, stopping using the input object, and sending a fault signal of the input object; wherein the failure times are initially 0;
In the specific implementation process, the first standard threshold value is set to be 5, when the failure times of one input object is more than or equal to 5, the input object is indicated to have a fault problem, the input object is not required to be used continuously, and a fault signal is reported in time;
step V142, when the acquired data is effective data, acquiring an input object of the effective data, setting the failure times of the input object of the effective data to 0, and updating a next time node preset in a working condition acquired data timetable to a time corresponding to a next acquisition task;
in the specific implementation process, when the acquired data is effective data, the problem of the input object is not solved, the failure times of the input object of the effective data are cleared, and preparation is made for the next acquisition task;
step S1015, obtaining an input object of effective data, obtaining a history folder corresponding to the input object, creating a subfolder in the history folder by taking the moment corresponding to the acquisition task at the time as a name, placing the input object in the subfolder of the history folder and sending a real-time password to a submitted object, wherein the real-time password can be used for opening the subfolder in the history folder;
in the implementation process, the real-time password is used for encrypting the subfolder, and the submitted object can open the subfolder through the real-time password;
Step S102, a mining data model is established, wherein the mining data model comprises mining monitoring equipment, and the mining monitoring equipment is used for monitoring mining equipment used in a mining process in an oil-gas field;
step S102 includes the following sub-steps:
step S1021, marking the exploitation devices in the oil and gas field as exploitation devices 1 to M;
step S1022, for any one of the mining apparatuses 1 to M, recording mining data of the mining apparatus, including mining time, mining energy consumption, and mining amount, when the mining apparatus starts to operate;
referring to fig. 3, step S1022 includes the following sub-steps:
v221, acquiring the exploitation time of exploitation equipment, and marking the exploitation equipment as first-level abnormal equipment when the exploitation time is smaller than or equal to the first standard exploitation time or larger than or equal to the second standard exploitation time;
in the specific implementation process, acquiring the historical exploitation time of the exploitation equipment while acquiring the exploitation time of the exploitation equipment, marking the maximum value of the historical exploitation time as second standard exploitation time and marking the minimum value of the historical exploitation time as first exploitation time;
when the mining time is smaller than the second standard mining time and larger than the first standard mining time, marking the mining equipment as first checking equipment;
Step V222, acquiring mining energy consumption of the first checking equipment;
when the mining energy consumption is greater than or equal to the first standard energy consumption, acquiring the mining quantity at the moment; when the exploitation amount is larger than or equal to the first standard amount, marking exploitation equipment as normal equipment; when the exploitation amount is smaller than the first standard amount, marking exploitation equipment as first-level abnormal equipment;
in the specific implementation process, acquiring the mining energy consumption of the first verification device, namely acquiring the maximum energy consumption and the maximum acquisition amount of the first verification device in the historical operation data of single use, marking 80% of the maximum energy consumption as first standard energy consumption, marking 80% of the maximum acquisition amount as first standard amount, marking 40% of the maximum energy consumption as second standard energy consumption, and marking 40% of the maximum acquisition amount as first standard amount;
when the mining energy consumption is greater than or equal to the second standard energy consumption and less than the first standard energy consumption, acquiring the mining amount at the moment; when the exploitation amount is larger than or equal to the second standard amount and smaller than the first standard amount, marking the exploitation equipment as normal equipment; when the exploitation amount is smaller than the second standard amount, marking the exploitation equipment as first-level abnormal equipment; when the exploitation amount is larger than or equal to the first standard amount, marking exploitation equipment as second-level abnormal equipment;
In the specific implementation process, the mining energy consumption is detected to be 70% of the maximum energy consumption, the mining amount is 30%, and the mining equipment is marked as first-level abnormal equipment;
analyzing the exploitation data, and marking exploitation equipment as normal equipment, primary abnormal equipment and secondary abnormal equipment based on analysis results;
step S1023, processing the first-level abnormal equipment and the second-level abnormal equipment, and sending the processing results to staff;
step S1023 includes the following sub-steps:
step V231, accumulating 1 the failure times of the mining equipment when the mining equipment is marked as first-level abnormal equipment, and sending the mining equipment abnormal signal to staff, wherein the failure times are initially 0;
when the failure times of the mining equipment are larger than or equal to the first failure threshold value, the mining equipment is marked as failure equipment, the mining equipment is sent to staff, and when the staff processes, the failure times of the mining equipment are cleared.
V232, when the mining equipment is marked as second-level abnormal equipment, acquiring a mining area corresponding to the mining equipment, and sending the mining area abnormality to staff;
in the specific implementation process, the problem of the second abnormal equipment is that the acquisition amount is produced more by using less energy consumption, so that the mining area corresponding to the second abnormal equipment should be checked;
Step S103, establishing a digital model of the oil gas production area based on the stored data model and the exploitation data model;
step S1 further includes: integrating the storage data model and the exploitation data model, and regulating and controlling the storage data model and the exploitation data model by using a digital model of an oil gas production area;
step S2, an oil gas exploitation period model is established, the oil gas exploitation period model is used for presetting exploitation parameters according to basic information of an oil gas field, the exploitation parameters comprise a working condition data acquisition schedule and total energy consumption, the working condition data acquisition schedule is used for setting the moment of acquisition tasks of acquisition equipment, and the total energy consumption is the electric quantity required to be consumed by the oil gas field every day;
step S2 comprises the following sub-steps:
step S201, basic information of an oil-gas field is obtained, wherein the basic information comprises the exploitation area of the area where the oil-gas field is located and the number of exploitation devices;
step S202, a working condition data acquisition schedule comprises a first schedule, a second schedule, a third schedule and a fourth schedule;
when the mining area is larger than or equal to the first standard area and the number of the mining equipment is smaller than or equal to the first standard number, setting a working condition data acquisition timetable as a first timetable;
When the mining area is larger than or equal to the first standard area and the number of the mining equipment is larger than the first standard number, setting the working condition data acquisition timetable as a second timetable;
when the mining area is smaller than the first standard area and the number of the mining equipment is smaller than or equal to the first standard number, setting the working condition data acquisition timetable as a third timetable;
when the mining area is smaller than the first standard area and the number of the mining equipment is larger than the first standard number, setting the working condition data acquisition timetable as a fourth timetable;
in the specific implementation process, the first standard area is 50% of the maximum area of the oil and gas exploitation area, the first standard quantity is the exploitation area divided by 1000, the first schedule is that all exploitation devices are in an operation state, and the next exploitation is carried out after each exploitation is finished for 2 hours;
the second schedule is that 80% of the mining devices are in an operating state, the unused mining devices are used for mining after each mining is finished, and the next mining is performed after 3 hours after each mining is finished;
the third schedule is that 80% of the mining devices are in an operating state, the unused mining devices are used for mining after each mining is finished, and the next mining is carried out after 2 hours after each mining is finished;
The fourth schedule is that 50% of the mining devices are in an operating state, the unused mining devices are used for mining after each mining is finished, and the next mining is performed after 3 hours after each mining is finished;
step S203, when the number of the exploitation devices is greater than or equal to the first standard number, setting the total energy consumption as alpha standard energy consumption;
when the number of the exploitation devices is smaller than the first standard number, setting the total energy consumption as beta standard energy consumption;
in the specific implementation process, the total electric quantity of 10 times of exploitation equipment is obtained, the standard energy consumption is the value of dividing the total electric quantity of 10 times of exploitation equipment by 10, alpha is 1.8 of the number of the exploitation equipment, and beta is 1.3 of the number of the exploitation equipment;
and step S3, the digitalized model of the oil gas production area and the oil gas exploitation period model updated each time are sent to staff, and the staff timely adjusts the actual situation based on the updating result.
Example two
Referring to fig. 2, in a second aspect, the present invention provides a digital management system for oil and gas production, including a digital model building module, a periodic model building module, and a terminal processor;
The digital model building module is used for building a digital model of the oil and gas production area, wherein the digital model of the oil and gas production area comprises a stored data model and a exploitation data model, and the digital model of the oil and gas production area is used for monitoring and updating the stored data and the exploitation data in the oil and gas field production process;
the digital model building module is configured with a stored data model building policy comprising:
acquiring historical working condition data and a working condition data acquisition timetable in an oil and gas field;
dividing historical working condition data in an oil-gas field according to recorded departments and storing the historical working condition data in a historical folder, wherein the historical folder comprises a historical folder 1 to a historical folder N, each historical folder corresponds to one recorded object and a submitted object, the recorded object is an acquisition object when acquiring collected data, and the submitted object is an object for submitting the working condition data;
acquiring the moment corresponding to the last acquisition task based on the working condition data acquisition timetable, recording the moment as the acquisition moment, and transmitting a data acquisition signal to a station of the oil-gas field at the acquisition moment to acquire acquisition data, wherein the acquisition data is the working condition data;
In the specific implementation process, the last acquisition task refers to the acquisition task which is the latest moment in the acquisition tasks which are not started;
checking the validity of the acquired data, marking the valid acquired data as valid data, and marking the invalid acquired data as invalid data;
setting an acquisition threshold interval 1 to an acquisition threshold interval Z based on the acquired working condition data, wherein each acquisition threshold interval corresponds to the working condition data in one data format; acquiring a data format library, wherein the data format library comprises a format corresponding to the acquired working condition data;
in a specific implementation process, acquiring historical working condition data corresponding to a data format under a normal running condition for any one of an acquisition threshold interval 1 to an acquisition threshold interval Z, and recording a threshold interval formed by the maximum value and the minimum value of the historical working condition data as an acquisition threshold interval corresponding to the working condition data of the data format;
acquiring the format of each attribute data in the acquired data, and recording the data format 1 to the data format X, wherein X is a positive integer;
sequentially matching all the data formats from the data format 1 to the data format X with the data formats in the data format library;
In the specific implementation process, the step is to remove the acquired data with incorrect data format;
when all the data formats from the data format 1 to the data format X can be matched with the data formats in the data format library, recording the acquired data as pending data;
when any one of the data formats 1 to X cannot be matched with the data formats in the data format library, marking the acquired data as invalid data;
dividing the undetermined data into test data 1 to test data X according to the data format; comparing the value of each inspection data with the corresponding acquisition threshold interval according to the data format;
when all the inspection data are in the corresponding acquisition threshold interval, marking the undetermined data as effective data;
when any one of the inspection data is not in the corresponding acquisition threshold interval, marking the undetermined data as invalid data;
processing invalid data and valid data;
when the acquired data is invalid data, acquiring an input object of the invalid data, accumulating 1 the failure times of the input object of the invalid data, and then retransmitting a data acquisition signal to the input object and checking the validity of the acquired data acquired newly;
When the failure times of the input object are greater than or equal to a first standard threshold value, stopping using the input object, and sending a fault signal of the input object; wherein the failure times are initially 0;
in the specific implementation process, the first standard threshold value is set to be 5, when the failure times of one input object is more than or equal to 5, the input object is indicated to have a fault problem, the input object is not required to be used continuously, and a fault signal is reported in time;
when the acquired data are effective data, acquiring an input object of the effective data, setting the failure times of the input object of the effective data to be 0, and updating a next time node preset in a working condition acquisition data timetable to be a time corresponding to a next acquisition task;
in the specific implementation process, when the acquired data is effective data, the problem of the input object is not solved, the failure times of the input object of the effective data are cleared, and preparation is made for the next acquisition task;
acquiring an input object of effective data, acquiring a history folder corresponding to the input object, creating a subfolder in the history folder by taking the moment corresponding to the acquisition task at the time as a name, placing the input object in the subfolder of the history folder, and sending a real-time password to a submitted object, wherein the real-time password can be used for opening the subfolder in the history folder;
In the implementation process, the real-time password is used for encrypting the subfolder, and the submitted object can open the subfolder through the real-time password;
the digital model building module is further configured with a mining data model building policy comprising:
marking exploitation equipment in the oil and gas field as exploitation equipment 1 to exploitation equipment M;
for any one of the mining devices 1 to M, when the mining device starts to operate, the mining data of the mining device are recorded, wherein the mining data comprise mining time, mining energy consumption and mining amount;
acquiring the exploitation time of exploitation equipment, and marking the exploitation equipment as first-level abnormal equipment when the exploitation time is smaller than or equal to the first standard exploitation time or larger than or equal to the second standard exploitation time;
in the specific implementation process, acquiring the historical exploitation time of the exploitation equipment while acquiring the exploitation time of the exploitation equipment, marking the maximum value of the historical exploitation time as second standard exploitation time and marking the minimum value of the historical exploitation time as first exploitation time;
when the mining time is smaller than the second standard mining time and larger than the first standard mining time, marking the mining equipment as first checking equipment;
Acquiring mining energy consumption of first verification equipment;
when the mining energy consumption is greater than or equal to the first standard energy consumption, acquiring the mining quantity at the moment; when the exploitation amount is larger than or equal to the first standard amount, marking exploitation equipment as normal equipment; when the exploitation amount is smaller than the first standard amount, marking exploitation equipment as first-level abnormal equipment;
in the specific implementation process, acquiring the mining energy consumption of the first verification device, namely acquiring the maximum energy consumption and the maximum acquisition amount of the first verification device in the historical operation data of single use, marking 80% of the maximum energy consumption as first standard energy consumption, marking 80% of the maximum acquisition amount as first standard amount, marking 40% of the maximum energy consumption as second standard energy consumption, and marking 40% of the maximum acquisition amount as first standard amount;
when the mining energy consumption is greater than or equal to the second standard energy consumption and less than the first standard energy consumption, acquiring the mining amount at the moment; when the exploitation amount is larger than or equal to the second standard amount and smaller than the first standard amount, marking the exploitation equipment as normal equipment; when the exploitation amount is smaller than the second standard amount, marking the exploitation equipment as first-level abnormal equipment; when the exploitation amount is larger than or equal to the first standard amount, marking exploitation equipment as second-level abnormal equipment;
In the specific implementation process, the mining energy consumption is detected to be 70% of the maximum energy consumption, the mining amount is 30%, and the mining equipment is marked as first-level abnormal equipment;
analyzing the exploitation data, and marking exploitation equipment as normal equipment, primary abnormal equipment and secondary abnormal equipment based on analysis results;
processing the first-level abnormal equipment and the second-level abnormal equipment, and sending the processing results to staff;
when the mining equipment is marked as first-level abnormal equipment, accumulating the failure times of the mining equipment by 1, and sending the mining equipment abnormal signals to staff, wherein the failure times are initially 0;
when the failure times of the mining equipment are larger than or equal to a first failure threshold value, marking the mining equipment as failure equipment, sending the failure of the mining equipment to staff, and clearing the failure times of the mining equipment after the staff processes;
when the mining equipment is marked as second-level abnormal equipment, acquiring a mining area corresponding to the mining equipment, and sending the mining area abnormality to staff;
in the specific implementation process, the problem of the second abnormal equipment is that the acquisition amount is produced more by using less energy consumption, so that the mining area corresponding to the second abnormal equipment should be checked;
The digital model building module is further configured with a model integration strategy comprising:
integrating the storage data model and the exploitation data model, and regulating and controlling the storage data model and the exploitation data model by using a digital model of an oil gas production area;
the period model building module is used for building an oil gas exploitation period model, the oil gas exploitation period model is used for presetting exploitation parameters according to basic information of an oil gas field, the exploitation parameters comprise a working condition data acquisition schedule and total consumption energy, the working condition data acquisition schedule is used for setting the moment of acquisition tasks of acquisition equipment, and the total consumption energy is the electric quantity required to be consumed by the oil gas field every day;
the period model establishment module is configured with a mining period model establishment strategy, which comprises:
acquiring basic information of an oil and gas field, wherein the basic information comprises the exploitation area of an area where the oil and gas field is located and the number of exploitation equipment;
the working condition data acquisition timetable comprises a first timetable, a second timetable, a third timetable and a fourth timetable;
when the mining area is larger than or equal to the first standard area and the number of the mining equipment is smaller than or equal to the first standard number, setting a working condition data acquisition timetable as a first timetable;
When the mining area is larger than or equal to the first standard area and the number of the mining equipment is larger than the first standard number, setting the working condition data acquisition timetable as a second timetable;
when the mining area is smaller than the first standard area and the number of the mining equipment is smaller than or equal to the first standard number, setting the working condition data acquisition timetable as a third timetable;
when the mining area is smaller than the first standard area and the number of the mining equipment is larger than the first standard number, setting the working condition data acquisition timetable as a fourth timetable;
in the specific implementation process, the first standard area is 50% of the maximum area of the oil and gas exploitation area, the first standard quantity is the exploitation area divided by 1000, the first schedule is that all exploitation devices are in an operation state, and the next exploitation is carried out after each exploitation is finished for 2 hours;
the second schedule is that 80% of the mining devices are in an operating state, the unused mining devices are used for mining after each mining is finished, and the next mining is performed after 3 hours after each mining is finished;
the third schedule is that 80% of the mining devices are in an operating state, the unused mining devices are used for mining after each mining is finished, and the next mining is carried out after 2 hours after each mining is finished;
The fourth schedule is that 50% of the mining devices are in an operating state, the unused mining devices are used for mining after each mining is finished, and the next mining is performed after 3 hours after each mining is finished;
when the number of the exploitation devices is greater than or equal to the first standard number, setting the total energy consumption as alpha standard energy consumption;
when the number of the exploitation devices is smaller than the first standard number, setting the total energy consumption as beta standard energy consumption;
in the specific implementation process, the total electric quantity of 10 times of exploitation equipment is obtained, the standard energy consumption is the value of dividing the total electric quantity of 10 times of exploitation equipment by 10, alpha is 1.8 of the number of the exploitation equipment, and beta is 1.3 of the number of the exploitation equipment;
the terminal processor is used for sending the digitalized model of the oil gas production area and the oil gas exploitation period model updated each time to staff, and the staff can adjust the actual situation in time based on the updating result.
Example III
In a third aspect, the present application provides a storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of any of the methods described above. By the above technical solution, the computer program, when executed by the processor, performs the method in any of the alternative implementations of the above embodiments to implement the following functions: the method comprises the steps of monitoring and updating storage data and exploitation data in an oil gas production area by establishing a digital model of the oil gas production area, presetting exploitation parameters according to basic information of an oil gas field by establishing an oil gas exploitation period model, and finally sending the digital model of the oil gas production area and processing results of the oil gas exploitation period model to staff to remind the staff to timely adjust the exploitation process of oil gas exploitation based on the processing results.
Working principle: firstly, the application monitors and updates stored data in real time by establishing a digital model of a production area, analyzes acquired data, divides the acquired data into effective data and ineffective data, encrypts the effective data when uploading the effective data, and sends a real-time password to a submitted object.
In the foregoing embodiments of the present application, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media having computer-usable program code embodied therein. The storage medium may be implemented by any type or combination of volatile or nonvolatile Memory devices, such as static random access Memory (Static Random Access Memory, SRAM), electrically erasable Programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory, EEPROM), erasable Programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), programmable Read-Only Memory (PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
The above examples are only specific embodiments of the present invention, and are not intended to limit the scope of the present invention, but it should be understood by those skilled in the art that the present invention is not limited thereto, and that the present invention is described in detail with reference to the foregoing examples: any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or perform equivalent substitution of some of the technical features, while remaining within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (12)
1. A method for digitally managing oil and gas production, comprising:
step S1, establishing a digital model of an oil gas production area, wherein the digital model of the oil gas production area comprises a stored data model and a exploitation data model, and the digital model of the oil gas production area is used for monitoring and updating stored data and exploitation data in the oil gas field production process;
Step S2, an oil gas exploitation period model is established, the oil gas exploitation period model is used for presetting exploitation parameters according to basic information of an oil gas field, the exploitation parameters comprise a working condition data acquisition schedule and total energy consumption, the working condition data acquisition schedule is used for setting the moment of acquisition tasks of acquisition equipment, and the total energy consumption is the electric quantity required to be consumed by the oil gas field every day;
and step S3, the digitalized model of the oil gas production area and the oil gas production period model updated each time are sent to staff.
2. The method for digitally managing oil and gas production according to claim 1, wherein the step S1 comprises the following sub-steps:
step S101, a stored data model is established, and the stored data model is used for monitoring and updating stored data in an oil-gas field;
step S102, a production data model is established, wherein the production data model comprises production monitoring equipment, and the production monitoring equipment is used for monitoring production equipment used in a production process in an oil-gas field;
and step S103, establishing a digital model of the oil and gas production area based on the stored data model and the exploitation data model.
3. The method for digitally managing oil and gas production according to claim 2, wherein said step S101 comprises the sub-steps of:
step S1011, acquiring historical working condition data and a working condition data acquisition timetable in an oil and gas field;
dividing historical working condition data in an oil-gas field according to recorded departments and storing the historical working condition data in a historical folder, wherein the historical folder comprises a historical folder 1 to a historical folder N, each historical folder corresponds to one recording object and a submitting object, the recording object is an acquisition object when acquiring collected data, and the submitting object is an object for submitting the working condition data;
step S1012, acquiring the moment corresponding to the last acquisition task based on a working condition data acquisition timetable, recording the moment as the acquisition moment, and transmitting a data acquisition signal to a station of the oil-gas field at the acquisition moment to acquire acquisition data, wherein the acquisition data is working condition data;
step S1013, verifying the validity of the acquired data, marking the valid acquired data as valid data, and marking the invalid acquired data as invalid data;
step S1014, processing invalid data and valid data;
Step S1015, obtaining an input object of effective data, obtaining a history folder corresponding to the input object, creating a subfolder in the history folder by taking the moment corresponding to the acquisition task at the time as a name, placing the input object in the subfolder of the history folder and sending a real-time password to a submitted object, wherein the real-time password can be used for opening the subfolder in the history folder.
4. A method for digitally managing oil and gas production according to claim 3, wherein said step S1013 comprises the sub-steps of:
step V131, setting an acquisition threshold interval 1 to an acquisition threshold interval Z based on the acquired working condition data, wherein each acquisition threshold interval corresponds to the working condition data in one data format; acquiring a data format library, wherein the data format library comprises a format corresponding to the acquired working condition data;
v132, acquiring the format of each attribute data in the acquired data, and recording the data format 1 to the data format X, wherein X is a positive integer;
sequentially matching all the data formats from the data format 1 to the data format X with the data formats in the data format library;
when all the data formats from the data format 1 to the data format X can be matched with the data formats in the data format library, recording the acquired data as pending data;
When any one of the data formats 1 to X cannot be matched with the data formats in the data format library, marking the acquired data as invalid data;
step V133, dividing the undetermined data into test data 1 to test data X according to the data format; comparing the value of each inspection data with the corresponding acquisition threshold interval according to the data format;
when all the inspection data are in the corresponding acquisition threshold interval, marking the undetermined data as effective data;
and when any one of the check data is not in the corresponding acquisition threshold interval, marking the undetermined data as invalid data.
5. The method for digitally managing oil and gas production according to claim 4, wherein said step S1014 comprises the sub-steps of:
step V141, when the acquired data is invalid data, acquiring an input object of the invalid data, accumulating the failure times of the input object of the invalid data by 1, and then retransmitting a data acquisition signal to the input object and checking the validity of the acquired data acquired newly;
when the failure times of the input object are greater than or equal to a first standard threshold value, stopping using the input object, and sending a fault signal of the input object; wherein the failure times are initially 0;
And step V142, when the acquired data is effective data, acquiring an input object of the effective data, setting the failure times of the input object of the effective data to 0, and updating a next time node preset in a working condition acquired data schedule to a time corresponding to a next acquisition task.
6. The method for digitally managing oil and gas production according to claim 2, wherein said step S102 comprises the sub-steps of:
step S1021, marking the exploitation devices in the oil and gas field as exploitation devices 1 to M;
step S1022, for any one of the mining apparatuses 1 to M, recording mining data of the mining apparatus, including mining time, mining energy consumption, and mining amount, when the mining apparatus starts to operate;
analyzing the exploitation data, and marking exploitation equipment as normal equipment, primary abnormal equipment and secondary abnormal equipment based on analysis results;
step S1023, processing the first-level abnormal equipment and the second-level abnormal equipment, and sending the processing results to staff.
7. The method for digitally managing oil and gas production according to claim 6, wherein said step S1022 comprises the sub-steps of:
V221, acquiring the exploitation time of exploitation equipment, and marking the exploitation equipment as first-level abnormal equipment when the exploitation time is smaller than or equal to the first standard exploitation time or larger than or equal to the second standard exploitation time;
when the mining time is smaller than the second standard mining time and larger than the first standard mining time, marking the mining equipment as first checking equipment;
step V222, acquiring mining energy consumption of the first checking equipment;
when the mining energy consumption is greater than or equal to the first standard energy consumption, acquiring the mining quantity at the moment; when the exploitation amount is larger than or equal to the first standard amount, marking exploitation equipment as normal equipment; when the exploitation amount is smaller than the first standard amount, marking exploitation equipment as first-level abnormal equipment;
when the mining energy consumption is greater than or equal to the second standard energy consumption and less than the first standard energy consumption, acquiring the mining amount at the moment; when the exploitation amount is larger than or equal to the second standard amount and smaller than the first standard amount, marking the exploitation equipment as normal equipment; when the exploitation amount is smaller than the second standard amount, marking the exploitation equipment as first-level abnormal equipment; and when the production amount is larger than or equal to the first standard amount, marking the production equipment as second-level abnormal equipment.
8. The method for digitally managing oil and gas production according to claim 7, wherein said step S1023 comprises the sub-steps of:
Step V231, accumulating 1 the failure times of the mining equipment when the mining equipment is marked as first-level abnormal equipment, and sending the mining equipment abnormal signal to staff, wherein the failure times are initially 0;
when the failure times of the mining equipment are larger than or equal to a first failure threshold value, marking the mining equipment as failure equipment, sending the failure of the mining equipment to staff, and clearing the failure times of the mining equipment after the staff processes;
and step V232, when the mining equipment is marked as second-level abnormal equipment, acquiring a mining area corresponding to the mining equipment, and sending the mining area abnormality to staff.
9. The method for digitally managing oil and gas production according to claim 8, wherein step S1 further comprises: integrating the storage data model and the exploitation data model, and regulating and controlling the storage data model and the exploitation data model by using a digital model of an oil gas production area.
10. The method for digitally managing oil and gas production according to claim 9, wherein said step S2 comprises the sub-steps of:
step S201, basic information of an oil and gas field is obtained, wherein the basic information comprises the exploitation area of an area where the oil and gas field is located and the number of exploitation equipment;
Step S202, the working condition data acquisition timetable comprises a first timetable, a second timetable, a third timetable and a fourth timetable;
when the mining area is larger than or equal to the first standard area and the number of the mining equipment is smaller than or equal to the first standard number, setting a working condition data acquisition timetable as a first timetable;
when the mining area is larger than or equal to the first standard area and the number of the mining equipment is larger than the first standard number, setting the working condition data acquisition timetable as a second timetable;
when the mining area is smaller than the first standard area and the number of the mining equipment is smaller than or equal to the first standard number, setting the working condition data acquisition timetable as a third timetable;
when the mining area is smaller than the first standard area and the number of the mining equipment is larger than the first standard number, setting the working condition data acquisition timetable as a fourth timetable;
step S203, when the number of the exploitation devices is greater than or equal to the first standard number, setting the total energy consumption as alpha standard energy consumption;
when the number of mining equipment is less than the first standard number, setting the total energy consumption as beta standard energy consumption.
11. The digital management system for oil and gas production is characterized by comprising a digital model building module, a periodic model building module and a terminal processor;
The digital model building module is used for building a digital model of an oil gas production area, wherein the digital model of the oil gas production area comprises a stored data model and a exploitation data model, and the digital model of the oil gas production area is used for monitoring and updating stored data and exploitation data in the oil gas field production process;
the period model building module is used for building an oil gas exploitation period model, the oil gas exploitation period model is used for presetting exploitation parameters according to basic information of an oil gas field, the exploitation parameters comprise a working condition data acquisition schedule and total energy consumption, the working condition data acquisition schedule is used for setting the moment of acquisition tasks of acquisition equipment, and the total energy consumption is the electric quantity required to be consumed by the oil gas field every day;
the terminal processor is used for sending the digitized model of the oil gas production area and the oil gas exploitation period model which are updated each time to staff.
12. A storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method according to any of claims 1-10.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118172201A (en) * | 2024-05-14 | 2024-06-11 | 北京天安智慧信息技术有限公司 | Multi-source alarm fusion management method and system for oil gas production |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012118946A (en) * | 2010-12-03 | 2012-06-21 | Daiwa House Industry Co Ltd | Energy consumption management system and energy consumption management method |
| CN104678975A (en) * | 2015-03-04 | 2015-06-03 | 中国石油化工股份有限公司 | Energy conservation and consumption reduction management method for oil and gas fields |
| CN105046347A (en) * | 2015-06-26 | 2015-11-11 | 中国石油化工股份有限公司胜利油田分公司 | Optimizing method for oil-and-gas field condition data acquisition |
| CN106682815A (en) * | 2016-11-30 | 2017-05-17 | 西安石油大学 | Pumping well monitoring system and monitoring method |
| CN109446574A (en) * | 2018-09-26 | 2019-03-08 | 北京国双科技有限公司 | Oil-gas mining monitoring method, fault identification model preparation method and relevant device |
| CN110952973A (en) * | 2018-09-26 | 2020-04-03 | 北京国双科技有限公司 | Oil and gas exploitation monitoring method, service life determination model obtaining method and related equipment |
| CN111063178A (en) * | 2018-10-16 | 2020-04-24 | 中国石油天然气股份有限公司 | Data acquisition and processing system |
| CN112819247A (en) * | 2021-02-25 | 2021-05-18 | 中国石油大学(北京) | Prediction analysis system and prediction method for oilfield development index |
| CN114723138A (en) * | 2022-04-08 | 2022-07-08 | 红有软件股份有限公司 | Oil and gas reservoir dynamic analysis system and method based on EPDM data model |
-
2023
- 2023-07-28 CN CN202310940727.7A patent/CN116664083B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012118946A (en) * | 2010-12-03 | 2012-06-21 | Daiwa House Industry Co Ltd | Energy consumption management system and energy consumption management method |
| CN104678975A (en) * | 2015-03-04 | 2015-06-03 | 中国石油化工股份有限公司 | Energy conservation and consumption reduction management method for oil and gas fields |
| CN105046347A (en) * | 2015-06-26 | 2015-11-11 | 中国石油化工股份有限公司胜利油田分公司 | Optimizing method for oil-and-gas field condition data acquisition |
| CN106682815A (en) * | 2016-11-30 | 2017-05-17 | 西安石油大学 | Pumping well monitoring system and monitoring method |
| CN109446574A (en) * | 2018-09-26 | 2019-03-08 | 北京国双科技有限公司 | Oil-gas mining monitoring method, fault identification model preparation method and relevant device |
| CN110952973A (en) * | 2018-09-26 | 2020-04-03 | 北京国双科技有限公司 | Oil and gas exploitation monitoring method, service life determination model obtaining method and related equipment |
| CN111063178A (en) * | 2018-10-16 | 2020-04-24 | 中国石油天然气股份有限公司 | Data acquisition and processing system |
| CN112819247A (en) * | 2021-02-25 | 2021-05-18 | 中国石油大学(北京) | Prediction analysis system and prediction method for oilfield development index |
| CN114723138A (en) * | 2022-04-08 | 2022-07-08 | 红有软件股份有限公司 | Oil and gas reservoir dynamic analysis system and method based on EPDM data model |
Non-Patent Citations (4)
| Title |
|---|
| GONGPING ZHANG等: "The Comparison and Analysis between Numerical Simulation and Monitor Data of Deep Foundation Pit Excavation Deformation", 《 IOP CONFERENCE SERIES: EARTH AND ENVIRONMENTAL SCIENCE》, vol. 179, pages 032007 * |
| 侯诚: "SAGD超稠油井采集及控制***设计", 《中国优秀硕士学位论文全文数据库 工程科技Ⅰ辑》, no. 03, pages 019 - 353 * |
| 张公平: "基于NA300系列PLC在综合管廊环境与设备监控***中的应用", 《电工技术》, no. 06, pages 6 - 9 * |
| 王涛: "基于ARM+OneNET的油井参数远程监控***", 《中国优秀硕士学位论文全文数据库 工程科技Ⅰ辑》, no. 09, pages 019 - 678 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118172201A (en) * | 2024-05-14 | 2024-06-11 | 北京天安智慧信息技术有限公司 | Multi-source alarm fusion management method and system for oil gas production |
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