CN115830937A - Digital training system and simulation method for deepwater natural gas exploitation process - Google Patents

Digital training system and simulation method for deepwater natural gas exploitation process Download PDF

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CN115830937A
CN115830937A CN202211610584.5A CN202211610584A CN115830937A CN 115830937 A CN115830937 A CN 115830937A CN 202211610584 A CN202211610584 A CN 202211610584A CN 115830937 A CN115830937 A CN 115830937A
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simulation
flow
training
module
pipeline
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周瑞东
张静
何志敏
丁鹏
贾月乐
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Southwest Petroleum University
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Abstract

The invention discloses a digital training system and a simulation method for a deepwater natural gas exploitation process, wherein the system comprises a teacher end, a student end and a server; the teacher end comprises an accident selection module used for introducing accidents or faults at any time in the training process; the server comprises a simulation module and a management module, wherein the simulation module calculates the pressure, flow and temperature of the fluid in the simulation pipeline in real time by using a flow coupling method, and perfects simulation working condition parameters; the management module generates a plurality of operation windows and simulation modules corresponding to the windows, and the connection between the windows and the simulation modules are realized; the trainee end comprises an operation window module, and the operation window module is used for displaying training gas production working conditions and providing a trainee training operation interface. The system utilizes an advanced mathematical model to enable training to be more suitable for on-site practice, an accident pre-embedding technology is adopted to simulate common accidents in gas production operation, students judge and make correct treatment according to phenomena, and the judgment and treatment capacity of the students on the accidents is improved.

Description

Digital training system and simulation method for deepwater natural gas exploitation process
Technical Field
The invention relates to deepwater natural gas exploitation simulation training equipment, in particular to a deepwater natural gas exploitation process digital training system and a deepwater natural gas exploitation process digital training method.
Background
The deep water natural gas exploitation training is mainly oriented to regional oil and gas production enterprises, and mainly plays a role in improving safety awareness, safety precaution and emergency handling capacity of relevant workers of oil and gas operation, fulfilling social responsibility and playing a supporting and guaranteeing role in establishing and perfecting a national safety production emergency system.
The existing training resources are utilized to further establish a training drilling system to build an first-class domestic deepwater natural gas exploitation training base, so that emergency drilling training service is provided for safety production of oil and gas production enterprises, and driving protection and navigation protection are provided for regional economic development.
The method aims to improve the theoretical level, the practical operation capability and the emergency disposal capability of operators;
2) Based on the deepwater natural gas mining process;
3) The construction principle of high starting point, high standard and high quality is adhered to;
4) The integrated training and practicing system is built by unified planning from the five aspects of teaching, training, practicing, appraisal and management.
The existing simulation training system is not suitable for a deepwater natural gas exploitation simulation training system and cannot meet the training requirement.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a digital training system and a simulation method for a deepwater natural gas exploitation process.
The purpose of the invention is realized by the following technical scheme:
a digital training system for a deepwater natural gas exploitation process comprises a teacher end, a student end and a server;
the teacher end is used for setting and issuing training tasks, uploading the training tasks to the server end, and monitoring the training process of students in real time;
the server is used for receiving the training tasks sent by the teacher end, carrying out simulation control on various gas production working conditions according to the training tasks, and sending the simulation working conditions to the student end;
the student end is used for receiving the simulated working condition scene and providing a human-computer interaction tool for training operation of the student;
the teacher end comprises an accident selection module, and the accident selection module is used for introducing accidents or faults at any time in the training process so as to make wishing judgment and processing;
the server comprises a simulation module and a management module, wherein the simulation module calculates the pressure and the flow of the fluid in the simulation pipeline in real time by using a flow coupling method, and improves the simulation working condition parameters; the management module generates a plurality of operation windows and simulation modules corresponding to the windows, and the connection between the windows and the simulation modules are realized;
the trainee end comprises an inner operating post operating window module and an outer operating post VR operating module, the inner operating post operating window simulates the operation of the on-site operating post personnel, displays the training gas production working condition and provides a trainee training operating interface;
the VR operation module of the external operation post adopts VR technology, uses VR glasses and VR operating handle to operate valves and equipment of a virtual site, and VR scenes display virtual characters of operators and show working conditions inside the equipment and flowing conditions in a pipeline in a transparent and sectional mode. The inner operating posts and the outer operating posts cooperate with each other to complete operation and management of the gas production field station, a plurality of inner operating post trainers and outer operating post trainers can cooperate with each other to operate simultaneously, virtual characters of other operating personnel can be displayed in a VR scene, the working condition inside the equipment and the flowing condition inside the pipeline can be displayed in a transparent and profile mode, and the operating window module is used for displaying training gas production working conditions and providing a trainee training operation interface.
A digital simulation method for a deepwater natural gas exploitation process is based on a digital training system for the deepwater natural gas exploitation process, and comprises the following specific steps:
s1: the server restores the windows through the on-site pictures and adds analog simulation modules corresponding to the operation windows to realize the jump relationship among the windows;
s2: each operation window calculates the pressure and the flow of the fluid in the simulation pipeline through a flow coupling algorithm;
s3: and connecting the related parameters calculated by the windows through a flow coupling algorithm, comparing the related parameters with field data, and adjusting the parameters.
Further, the step S1: the method for realizing the relation among the windows specifically comprises the following steps:
s101: the management module monitors the operation of the window and transmits the corresponding switch and analog quantity to the simulation module of the window;
s102: the value after the window operation is changed is transmitted into a simulation module, and the parameter is returned through the calculation of the simulation module;
s103: and the window receives and displays the data of the simulation module.
Further, the step S2: calculating the flow of the fluid in the simulation pipeline through a flow coupling algorithm, and specifically comprises the following steps: for node a, there are three pipes connected to it: a pipeline A, a pipeline B and a pipeline C, wherein fluid flows into the pipeline B and the pipeline C from the pipeline A,
s201: calculating the flow Q of the outflow conduit A A-out Flow rate Q of the inflow pipe B B-in Flow rate Q of the inflow pipe C C-in
S202: calculating the flow sum sigma Q of the node A according to the result of the S201;
s203: it is determined whether the flow sum Σ Q satisfies the conservation of mass at node a.
Further, the step S201 specifically includes:
the flow out of the conduit A comprises the flow Q of the conduit A into the conduit B AB Flow rate Q of pipeline A flowing into pipeline C AC :Q A_out =Q AB +Q AC
The flow into the pipe B includes the flow Q of the pipe A into the pipe B AB Flow rate Q of pipe C flowing into pipe B CB :Q B_in =Q AB
The flow into the conduit C comprises the flow Q of the conduit A into the conduit C AB Flow rate Q of pipe B into pipe C BC :Q C_in =Q AC
Further, the step S202 specifically includes:
for node a, the outgoing flow from conduit a is the flow into node a, and thus is a positive flow,
the incoming flows to conduit B and conduit C are flows out of node a, and are therefore negative flows,
for node a, the traffic sum here is:
Figure BDA0003994504510000031
∑Q=Q AB +Q AC -Q AB -Q AC =0。
the invention has the beneficial effects that:
the invention relates to a gas production comprehensive simulation training system which is a product of petroleum engineering, oil and gas storage and transportation and computer technology integration. The students can know the internal structure and principle of various gas production equipment and are familiar with the typical stations and processes of the gas field block. The training is divided into a plurality of layers and can be used for training elementary workers, intermediate workers, senior workers, technicians and senior technicians. By the training of the system, trainees can master the principle and the using method of various gas production equipment, and common accidents on the site can be processed.
The system calculates the pressure, flow and temperature of the fluid in the pipeline in real time by using a flow coupling method. The advanced mathematical model enables training to be more suitable for on-site practice, the system simulates common accidents and equipment faults in gas production operation by adopting an accident pre-embedding technology, teachers can introduce the accidents or faults at any time, and students judge and make correct treatment according to phenomena, so that the judgment and treatment capacity of the students on the accidents is improved. The working condition of the equipment is displayed on a large screen, so that the whole process is clear and easy to understand, the training time of the trainees can be reduced, and the trainees can know more deeply. Customizable accident simulation can make training easier.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without creative efforts.
FIG. 1 is a schematic diagram of the system architecture of the present invention;
FIG. 2 is a flow chart of a method of the present invention;
FIG. 3 is a window jump flow diagram of the present invention;
FIG. 4 is a schematic diagram of window generation of the present invention;
fig. 5 is a schematic diagram of the node traffic of the present invention.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In addition, the technical solutions in the embodiments may be combined with each other, but it must be based on the realization of those skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should be considered to be absent and not within the protection scope of the present invention.
As shown in fig. 1, a digital training system for a deepwater natural gas mining process comprises a teacher end, a student end and a server;
the teacher end is used for setting and issuing training tasks, uploading the training tasks to the server end and monitoring the training process of students in real time;
the server is used for receiving the training tasks sent by the teacher end, performing simulation control on various gas production working conditions according to the training tasks, and issuing the simulation working conditions to the student end;
the student end is used for receiving the situation of the simulated working condition and providing a human-computer interaction tool for training operation of the student;
the teacher end comprises an accident selection module, and the accident selection module is used for introducing accidents or faults at any time in the training process so as to make wishing judgment and processing;
the server comprises a simulation module and a management module, wherein the simulation module calculates the pressure and the flow of the fluid in the simulation pipeline in real time by using a flow coupling method, and improves the simulation working condition parameters; the management module generates a plurality of operation windows and simulation modules (as shown in fig. 4) corresponding to the windows, and the connection between the windows and the simulation modules are realized;
the student end comprises an inner operating post operating window module and an outer operating post VR operating module,
the VR operation module of the external operation post adopts VR technology, uses VR glasses or a helmet display and a VR operation handle to operate valves and equipment on a virtual site, and a VR scene displays virtual characters of an operator and displays the working condition inside the equipment and the flowing condition in a pipeline in a transparent and sectional mode. The inner operating posts and the outer operating posts cooperate with each other to complete operation and management of the gas production field station, a plurality of inner operating post trainers and outer operating post trainers can cooperate with each other to operate simultaneously, virtual characters of other operating personnel can be displayed in a VR scene, the working condition inside the equipment and the flowing condition inside the pipeline can be displayed in a transparent and profile mode, and the operating window module is used for displaying training gas production working conditions and providing a trainee training operation interface. And realizing multi-person cooperative operation in the immersive virtual reality environment. Personnel in a real environment can operate and synchronously feed back to a VR three-dimensional well site environment, and trained personnel can be visible in a virtual environment; the action of the personnel is judged through the position information positioned by the handle, and the action recognition and judgment of the real personnel in the VR environment are realized. The method provides a vivid and visual operation mode for multiple persons to cooperatively finish the treatment process, and improves the training effect.
The student end supports the interaction of VR and the desktop and the multi-person cooperation process in the operation process, and the requirement of project training is met.
(1) Convenient mode switching
By using a Player component prefabricated in a Steam VR plug-in, using SteamVRObjects and NoSteamVRFallbackObjects, and through mode switching operation of the SteamVRObjects and the NoSteamVRFallbackObjects, mode recognition of the VR camera and the desktop camera is realized, so that fusion of the desktop interactive view angle and the VR interactive view angle is achieved, and the same drilling scene elements and corresponding information are represented
(2) Fast interactive response
The Player prefab is set by compiling the core class Player, hand and Interactable of the interactive system, and the Player object and the SteamVR camera in the scene are set. Interactive systems work by sending messages to any object with which they interact. These objects will then react quickly to the message and may attach themselves to the hand as needed
(3) VR and desktop general interaction function implementation
By adding an Interactable component to an object to be interacted, combining the handle interaction and desktop mouse click interaction functions of VR, assimilating the interaction functions of each post role, a virtual scene and equipment in the drilling process;
after the Player component is added into a scene, the camera can be self-adapted according to the position of the scene, and the parameter of the camera does not need to be set individually again;
meanwhile, the parameters for switching the two drilling modes are set by an external panel, so that various settings can be quickly realized and updated.
System of head-mounted displays: immersive virtual reality is based on a system HTC Cosmos of a helmet-mounted display, and the visual sense and the auditory sense of a user are sealed by the helmet-mounted display to generate virtual visual sense. The user can make the participant issue an operation command to the system host through the voice recognizer, and meanwhile, the head, the hand and the eyes are tracked by the corresponding head tracker, the hand tracker and the eye sight direction tracker, so that the system achieves interaction real-time performance as much as possible. The immersive virtual reality system is an ideal model for replacing a real environment, and the immersive three-dimensional display has the characteristics of strong reality sense, flexible interaction, real-time feedback and the like.
In order to avoid mutual interference of personnel operation in a real space, an operation physical area is set for the personnel, and meanwhile, the equipment cable is suspended to avoid winding and interference, so that each operator has an independent operation space.
The interaction mode can use the handle that virtual reality glasses wore to interact with the virtual reality world, also can be high up in the air through the gesture and interact, can do actions such as snatch, remove, click.
As shown in fig. 2, a digital simulation method for a deepwater natural gas production process is based on a digital training system for the deepwater natural gas production process, and comprises the following specific steps:
s1: the server restores the windows through the on-site pictures, adds analog simulation modules corresponding to the operation windows and realizes the jumping relation among the windows through the simulation modules;
s2: each operation window calculates the pressure, flow and temperature of the fluid in the simulation pipeline through a flow coupling algorithm;
s3: and connecting the related parameters calculated by the windows through a flow coupling algorithm, comparing the related parameters with field data, and adjusting the parameters.
As shown in fig. 3, the step S1: the method for realizing the relation among the windows specifically comprises the following steps:
s101: the management module monitors the operation of the window and transmits the corresponding switch and analog quantity to the simulation module of the window;
s102: the value after the window operation is changed is transmitted into a simulation module, and the parameter is returned through the calculation of the simulation module;
s103: and the window receives and displays the data of the simulation module. As shown in fig. 5, the flow of the pipe node a is schematic, and for the node a, three pipes are connected with it: the flow of the pipeline A comprises the flow Q of the pipeline A flowing into the pipeline B and the flow Q of the pipeline B flowing out of the pipeline A AB Flow rate Q of pipeline A flowing into pipeline C AC
Q A_out =Q AB +Q AC
The flow into the pipe B includes the flow Q of the pipe A into the pipe B AB Flow rate Q of pipe C flowing into pipe B CB
Q B_in =Q AB
The flow into the conduit C comprises the flow Q of the conduit A into the conduit C AB Flow rate Q of pipe B into pipe C BC
Q c_in =Q AC
For node a, the outgoing flow from conduit a is the flow into node a, and thus is a positive flow,
the incoming flows to conduit B and conduit C are flows out of node a, and are therefore negative flows,
for node A, the sum of the flows is
Figure BDA0003994504510000061
∑Q=Q AB +Q AC -Q AB -Q AC =0,
At node a, the calculation process satisfies Σ Q =0, satisfying mass conservation. By adopting the method, the problem solving can be expanded into a large system, and parameters of the whole system are adjusted by comparing with data of a real site, so that the training is more suitable for the actual site.
The foregoing is illustrative of the preferred embodiments of this invention, and it is to be understood that the invention is not limited to the precise form disclosed herein and that various other combinations, modifications, and environments may be resorted to, falling within the scope of the concept as disclosed herein, either as described above or as apparent to those skilled in the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (6)

1. A digital training system for a deepwater natural gas exploitation process comprises a teacher end, a student end and a server;
the teacher end is used for setting and issuing training tasks, uploading the training tasks to the server end and monitoring the training process of students in real time;
the server is used for receiving the training tasks sent by the teacher end, carrying out simulation control on various gas production working conditions according to the training tasks, and sending the simulation working conditions to the student end;
the student end is used for receiving the simulated working condition scene and providing a human-computer interaction tool for training operation of the student;
the system is characterized in that the teacher end comprises an accident selection module, and the accident selection module is used for introducing accidents or faults at any time in the training process so as to make wishing judgment and processing;
the server comprises a simulation module and a management module, wherein the simulation module calculates the pressure and the flow of the fluid in the simulation pipeline in real time by using a flow coupling method, and improves the simulation working condition parameters; the management module generates a plurality of operation windows and simulation modules corresponding to the windows, and the connection between the windows and the simulation modules are realized;
the student end comprises an inner operating post operating window module and an outer operating post VR operating module,
the inner post operating window simulates the operation of post operators in the site, displays training gas production working conditions and provides trainees with a training operation interface;
the VR operation module of the external operation post adopts VR technology, uses VR glasses and VR operating handle to operate valves and equipment of a virtual site, and VR scenes display virtual characters of operators and show working conditions inside the equipment and flowing conditions in a pipeline in a transparent and sectional mode.
2. A digital simulation method for a deepwater natural gas production process is based on the digital training system for the deepwater natural gas production process as claimed in claim 1, and is characterized by comprising the following specific steps of:
s1: the server restores the windows through the on-site pictures and adds analog simulation modules corresponding to the operation windows to realize the jump relationship among the windows;
s2: each operation window calculates the pressure, flow and temperature of the fluid in the simulation pipeline through a flow coupling algorithm;
s3: and connecting the related parameters calculated by the windows through a flow coupling algorithm, comparing the related parameters with field data, and adjusting the parameters.
3. The digital simulation method for the deepwater natural gas exploitation process according to claim 2, wherein the step S1: the method for realizing the relation among the windows specifically comprises the following steps:
s101: the management module monitors the operation of the window and transmits the corresponding switch and analog quantity to the simulation module of the window;
s102: the value after the window operation is changed is transmitted into a simulation module, and the parameter is returned through the calculation of the simulation module;
s103: and the window receives and displays the data of the simulation module.
4. The digital simulation method for the deepwater natural gas exploitation process according to claim 2, wherein the step S2: calculating the flow of the fluid in the simulation pipeline through a flow coupling algorithm, and specifically comprises the following steps: for node a, there are three pipes connected to it: a pipeline A, a pipeline B and a pipeline C, wherein fluid flows into the pipeline B and the pipeline C from the pipeline A,
s201: calculating the flow Q of the outflow conduit A A-out Flow rate Q of the inflow pipe B B-in Flow rate Q of the inflow pipe C C-in
S202: calculating the flow sum sigma Q of the node A according to the result of the S201;
s203: it is determined whether the flow sum Σ Q satisfies the conservation of mass at node a.
5. The digital simulation method for the deepwater natural gas exploitation process according to claim 4, wherein the step S201 specifically comprises:
the flow out of the conduit A comprises the flow Q of the conduit A into the conduit B AB Flow rate Q of pipeline A flowing into pipeline C AC :Q A_out =Q AB +Q AC
The flow into the pipe B includes the flow Q of the pipe A into the pipe B AB Flow rate Q of pipe C flowing into pipe B CB
Q B_in =Q AB
The flow into the pipe C comprises the pipe A flowing into the pipe CFlow rate Q of AB Flow rate Q of pipe B into pipe C BC
Q C_in =Q AC
6. The digital simulation method for the deepwater natural gas production process according to claim 4, wherein the step S202 is specifically as follows:
for node a, the outgoing flow from conduit a is the flow into node a, and thus is a positive flow,
the incoming flows to conduit B and conduit C are flows out of node a, and are therefore negative flows,
for node a, the traffic sum here is:
Figure FDA0003994504500000021
∑Q=Q AB +Q Ac -Q AB -Q Ac =0。
CN202211610584.5A 2022-12-12 2022-12-12 Digital training system and simulation method for deepwater natural gas exploitation process Pending CN115830937A (en)

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