CN113535373A - Interactive resource allocation method and device for seismic data interpretation - Google Patents
Interactive resource allocation method and device for seismic data interpretation Download PDFInfo
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- 230000002452 interceptive effect Effects 0.000 title claims abstract description 198
- 238000013468 resource allocation Methods 0.000 title claims abstract description 29
- 238000000034 method Methods 0.000 title claims abstract description 23
- 230000003993 interaction Effects 0.000 claims description 15
- 238000004590 computer program Methods 0.000 claims description 14
- 238000003860 storage Methods 0.000 claims description 5
- 238000009826 distribution Methods 0.000 claims description 2
- 238000012545 processing Methods 0.000 abstract description 18
- 238000010586 diagram Methods 0.000 description 14
- 238000001914 filtration Methods 0.000 description 12
- 230000002159 abnormal effect Effects 0.000 description 8
- 238000007726 management method Methods 0.000 description 5
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- 238000002955 isolation Methods 0.000 description 2
- 238000012544 monitoring process Methods 0.000 description 2
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- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
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- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
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Abstract
The invention discloses an interactive resource allocation method and device for seismic data interpretation, wherein the method comprises the following steps: acquiring a server group associated with a user and remote connection strategy data; determining a plurality of interactive nodes according to a server group associated with a user; selecting one or more interactive nodes from the plurality of interactive nodes according to the remote connection strategy data associated with the user; and distributing the interactive resources according to the selected one or more interactive nodes. The invention can reasonably distribute the interactive resources in the seismic data interpretation, avoid the problem of unbalanced interactive resource load when facing mass seismic data and ensure the use of seismic data processing interpretation application software.
Description
Technical Field
The invention relates to the technical field of seismic data processing, in particular to an interactive resource allocation method and device for seismic data interpretation.
Background
The combination of the seismic data processing and interpreting application software and the cloud platform management system is an important future development direction of the oil exploration industry. The cloud platform management system is a computer network cluster system consisting of a plurality of server nodes with a certain scale, the front end adopts a uniform access portal to log in, and software is delivered through a remote visualization technology, so that a user can access the service in the cloud at any time, any place and any equipment.
When a user uses software in the cloud by creating remote connection, the cloud platform management system is required to push an interactive node to the user, and the remote connection of the application software is created. When massive seismic data are faced, the existing cloud platform management system has the problem of unbalanced interactive resource load, and the use of seismic data processing and interpretation application software is influenced.
Disclosure of Invention
The embodiment of the invention provides an interactive resource allocation method for seismic data interpretation, which is used for reasonably allocating interactive resources in seismic data interpretation, avoiding the problem of unbalanced interactive resource load when facing massive seismic data and ensuring the use of seismic data processing interpretation application software, and comprises the following steps:
acquiring a server group associated with a user and remote connection strategy data;
determining a plurality of interactive nodes according to a server group associated with a user;
selecting one or more interactive nodes from the plurality of interactive nodes according to the remote connection strategy data associated with the user;
and distributing the interactive resources according to the selected one or more interactive nodes.
The embodiment of the invention provides an interactive resource allocation device for seismic data interpretation, which is used for reasonably allocating interactive resources in seismic data interpretation, avoiding the problem of unbalanced interactive resource load when facing massive seismic data and ensuring the use of seismic data processing interpretation application software, and comprises the following steps:
the data acquisition module is used for acquiring a server group and remote connection strategy data associated with a user;
the node determining module is used for determining a plurality of interactive nodes according to the server group associated with the user;
the node selection module is used for selecting one or more interactive nodes from the interactive nodes according to the remote connection strategy data associated with the user;
and the distribution module is used for distributing the interactive resources according to the selected one or more interactive nodes.
The embodiment of the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the computer program to realize the interactive resource allocation method for seismic data interpretation.
The embodiment of the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor executes the computer program to realize the interactive resource allocation method for seismic data interpretation.
The embodiment of the invention obtains the server group and the remote connection strategy data associated with the user; determining a plurality of interactive nodes according to a server group associated with a user; selecting one or more interactive nodes from the plurality of interactive nodes according to the remote connection strategy data associated with the user; and distributing the interactive resources according to the selected one or more interactive nodes. According to the embodiment of the invention, the interactive nodes are selected according to the remote connection strategy data associated with the user, so that the interactive resources are reasonably distributed in the seismic data interpretation, the problem of unbalanced load of the interactive resources when massive seismic data are encountered is avoided, and the use of seismic data processing interpretation application software is ensured.
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 drawings without creative efforts. In the drawings:
FIG. 1 is a schematic diagram of an interactive resource allocation method for seismic data interpretation according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating selection of an optimal interaction node without regard to a container in an embodiment of the present invention;
FIG. 3 is a schematic diagram of resource isolation implemented by a container according to an embodiment of the present invention;
FIG. 4 is a diagram illustrating identification of an abnormal interaction resource according to an embodiment of the present invention;
fig. 5 is a structural diagram of an interactive resource allocation apparatus for seismic data interpretation in the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
In order to reasonably allocate interactive resources in seismic data interpretation, avoid the problem of unbalanced load of the interactive resources when facing massive seismic data, and ensure the use of seismic data processing interpretation application software, an embodiment of the present invention provides an interactive resource allocation method for seismic data interpretation, which, as shown in fig. 1, may include:
103, selecting one or more interactive nodes from the interactive nodes according to the remote connection strategy data associated with the user;
and 104, distributing interactive resources according to the selected one or more interactive nodes.
As shown in fig. 1, in the embodiment of the present invention, by acquiring a server group associated with a user and remote connection policy data; determining a plurality of interactive nodes according to a server group associated with a user; selecting one or more interactive nodes from the plurality of interactive nodes according to the remote connection strategy data associated with the user; and distributing the interactive resources according to the selected one or more interactive nodes. According to the embodiment of the invention, the interactive nodes are selected according to the remote connection strategy data associated with the user, so that the interactive resources are reasonably distributed in the seismic data interpretation, the problem of unbalanced load of the interactive resources when massive seismic data are encountered is avoided, and the use of seismic data processing interpretation application software is ensured.
And acquiring a server group associated with the user and remote connection strategy data during specific implementation.
In specific implementation, a plurality of interactive nodes are determined according to the server group associated with the user.
In specific implementation, one or more interactive nodes are selected from the interactive nodes according to the remote connection strategy data associated with the user.
In an embodiment, the remote connection policy data includes: the maximum remote connection upper limit data of the interactive node, the CPU upper limit data of the interactive node and the memory upper limit data of the interactive node;
selecting one or more interactive nodes from the plurality of interactive nodes according to the remote connection policy data associated with the user, including: and selecting one or more interactive nodes from the plurality of interactive nodes according to the maximum remote connection upper limit data of the interactive nodes related to the user, the CPU upper limit data of the interactive nodes and the memory upper limit data of the interactive nodes.
In an embodiment, the remote connection policy data further comprises: container template setup data;
selecting one or more interactive nodes from the plurality of interactive nodes according to the remote connection policy data associated with the user, further comprising: and selecting one or more interactive nodes from the plurality of interactive nodes according to the container template setting data associated with the user.
And in specific implementation, interactive resource allocation is carried out according to the selected one or more interactive nodes.
In an embodiment, the performing interaction resource allocation according to the selected one or more interaction nodes includes: for each selected interactive node in the one or more interactive nodes, acquiring real-time data corresponding to the interactive node, where the real-time data includes: real-time CPU data, real-time memory data and disk read-write rate data;
and performing interactive resource allocation according to the real-time data of each interactive node.
In the embodiment, if the container is not considered, as shown in fig. 2, the optimal interaction node is selected as follows: logging in a seismic processing interpretation cloud platform, clicking an application software icon to create remote connection, obtaining a remote strategy (a container is not supported) associated with a current user, obtaining interactive nodes associated with the application software, filtering out available interactive nodes in the previous step, filtering out interactive nodes in a CPU \ memory threshold range which are in accordance with the remote strategy setting in the previous step, filtering out interactive nodes in a maximum connection number threshold range which is in accordance with the remote strategy setting in the previous step, filtering out abnormal nodes in the previous step, selecting the interactive nodes with the optimal read-write rate performance of the CPU, the memory and the disk, and creating the remote connection successfully.
In an embodiment, as shown in fig. 3, resource isolation may be achieved by a container as follows: logging in a seismic processing interpretation cloud platform, clicking an application software icon to create a remote connection, acquiring a remote strategy (support container) associated with a current user, acquiring interactive nodes associated with the application software, filtering out available interactive nodes in the previous step, filtering out interactive nodes supporting a container template in the previous step, filtering out interactive nodes in a CPU/memory threshold range which are in accordance with the remote strategy setting in the previous step, filtering out interactive nodes in a maximum connection number threshold range which is in accordance with the remote strategy setting in the previous step, filtering out abnormal nodes in the previous step, selecting the interactive nodes with the optimal read-write rate performance of a CPU, a memory and a disk, and creating the remote connection successfully.
In an embodiment, as shown in fig. 4, the abnormal interaction resource identification may be performed as follows: logging in a seismic processing interpretation cloud platform, clicking an application software icon to create remote connection, acquiring a remote strategy associated with a current user, acquiring a visual node available for application software, filtering out a visual node available in the last step, filtering out an interactive node which accords with the remote strategy setting in the last step, filtering out an abnormal node in the last step, selecting an interactive node with optimal CPU, memory and disk read-write rate performance, creating remote connection failure, and recording the abnormal node.
The following provides a specific embodiment, which illustrates a specific application of the interactive resource allocation method for seismic data interpretation in the embodiment of the present invention.
In the first embodiment, as shown in steps 201 to 210, a remote policy of a processor is set, where the policy includes that the maximum number of remote connections allowed by a single interactive node is 1, a CPU threshold of the interactive node for allowing remote connections is 90%, a memory threshold is 90%, and a container is not supported. User a associates a processor remote policy. The server group vnc is set, three interactive nodes (01, 02 and 03) are provided, the CPU values are 0.2%, 5.1% and 1.3% respectively, the memory values are 1.33%, 10.6% and 5.4% respectively, and the server group vnc is associated with the set user A. And setting software, associating the user A and associating the server group vnc. And logging in the user A, clicking the set software icon, and creating a remote connection. And in the created remote connection, the selected interactive node is a 01 node, and the 01 node is found to be the interactive node with the minimum weighted average value of the read-write speed of the disk in the vnc group, the CPU value and the memory value through the monitoring of the server. 2 remote connections are newly created, and the selected interactive nodes are 03 and 02 in sequence. The 4 th remote connection cannot be created since the maximum number of remote connections allowed by a single interactive node is 1. All remote connections are closed.
In the second embodiment, as shown in steps 301 to 311, a remote policy of an interpreter is set, where the policy includes a maximum number of remote connections allowed by a single interactive node of 2, a CPU threshold allowed by the interactive node of 3%, and a memory threshold of 90%, a container is supported, and a container template sets a CPU core number of 20, has no memory limitation, and is associated with an interpreter role. User B associates an interpreter remote policy. The server group vnc is set, three interactive nodes (01, 02 and 03) are provided, the CPU values are 0.2%, 5.1% and 1.3% respectively, the memory values are 1.33%, 17.6% and 5.4% respectively, the number of CPU cores of the three nodes is 32, and the server group vnc is associated with a set user B. And setting software, associating the user B and associating the server group vnc. And logging in the user B, clicking the set software icon, and creating a remote connection. And in the created remote connection, the selected interactive node is a 01 node, and the 01 node is found to be the node with the minimum weighted average value of the read-write speed of the disk in the vnc group, the CPU value and the memory value through the monitoring of the server. Newly creating 1 remote connection, and the interactive node is 03. The 3 rd remote connection cannot be created, and since the interaction resources conforming to the CPU setting are only the node 01 and the node 03, and the policy support container is adopted, the node 01 and the node 03 cannot create the remote connection supporting the container again. And modifying remote policy management of an interpreter, changing the policy into that the container is not supported, newly creating 1 remote connection, and setting the interactive node as 01. Newly creating 1 remote connection, and the interactive node is 03. The 5 th remote connection cannot be created since the maximum number of remote connections allowed for a single interactive node is 2. All remote connections are closed.
In the third embodiment, as shown in steps 401 to 409, the remote policy of the handler in the first embodiment is modified to reduce the memory threshold of the interactive node for allowing remote connection to 10%, and the rest is unchanged. User a associates a processor remote policy. The method comprises the steps of setting a server group vnc, wherein three interactive nodes (01, 02 and 03) are provided, the CPU values are respectively 0.2%, 5.1% and 1.3%, the memory values are respectively 1.33%, 17.6% and 5.4%, seismic data processing and explaining application software is not configured in the interactive nodes 01, and a user A is set in the server group vnc in a relevant mode. And setting software, associating the user A and associating the server group vnc. And logging in the user A, clicking the set software icon, and creating a remote connection. And in the created remote connection, the selected interactive node is a 01 node, and the 01 node is monitored by the server and found to be the interactive node with the smallest weighted average value of the read-write speed of the disk in the vnc group, the CPU value and the memory value, but due to the configuration problem of application software, the remote connection is failed to be created, and meanwhile, an interactive node 01 creation connection failure record is added in the abnormal node list. And still selecting the interactive node 01, creating remote connection failure, wherein the abnormal node list has two failure records of the interactive node 01. 1 remote connection is created, and the interactive node is 03. The 2 nd remote connection can not be created, because the maximum number of remote connections allowed by a single interactive node is 1, and the interactive node which meets the CPU threshold condition of the interactive node for allowing the remote connection and configures the application software is only 03. All remote connections are closed.
Based on the same inventive concept, the embodiment of the invention also provides an interactive resource allocation device for seismic data interpretation, as described in the following embodiment. Since the principles for solving the problems are similar to the interactive resource allocation method for seismic data interpretation, the implementation of the apparatus can be referred to the implementation of the method, and repeated details are not repeated.
Fig. 5 is a block diagram of an interactive resource allocation apparatus for seismic data interpretation according to an embodiment of the present invention, as shown in fig. 5, the apparatus including:
a data obtaining module 501, configured to obtain a server group and remote connection policy data associated with a user;
a node determining module 502, configured to determine a plurality of interaction nodes according to a server group associated with a user;
a node selecting module 503, configured to select one or more interaction nodes from the multiple interaction nodes according to the remote connection policy data associated with the user;
an allocating module 504, configured to perform interaction resource allocation according to the selected one or more interaction nodes.
In one embodiment, the remote connection policy data comprises: the maximum remote connection upper limit data of the interactive node, the CPU upper limit data of the interactive node and the memory upper limit data of the interactive node;
the node selection module 503 is further configured to: and selecting one or more interactive nodes from the plurality of interactive nodes according to the maximum remote connection upper limit data of the interactive nodes related to the user, the CPU upper limit data of the interactive nodes and the memory upper limit data of the interactive nodes.
In one embodiment, the remote connection policy data further comprises: container template setup data;
the node selection module 503 is further configured to: and selecting one or more interactive nodes from the plurality of interactive nodes according to the container template setting data associated with the user.
In one embodiment, the allocating module 504 is specifically configured to:
for each selected interactive node in the one or more interactive nodes, acquiring real-time data corresponding to the interactive node, where the real-time data includes: real-time CPU data, real-time memory data and disk read-write rate data;
and performing interactive resource allocation according to the real-time data of each interactive node.
In summary, in the embodiments of the present invention, a server group and remote connection policy data associated with a user are obtained; determining a plurality of interactive nodes according to a server group associated with a user; selecting one or more interactive nodes from the plurality of interactive nodes according to the remote connection strategy data associated with the user; and distributing the interactive resources according to the selected one or more interactive nodes. According to the embodiment of the invention, the interactive nodes are selected according to the remote connection strategy data associated with the user, so that the interactive resources are reasonably distributed in the seismic data interpretation, the problem of unbalanced load of the interactive resources when massive seismic data are encountered is avoided, and the use of seismic data processing interpretation application software is ensured.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. An interactive resource allocation method for seismic data interpretation, comprising:
acquiring a server group associated with a user and remote connection strategy data;
determining a plurality of interactive nodes according to a server group associated with a user;
selecting one or more interactive nodes from the plurality of interactive nodes according to the remote connection strategy data associated with the user;
and distributing the interactive resources according to the selected one or more interactive nodes.
2. The method of interactive resource allocation for seismic data interpretation of claim 1, wherein the remote connection policy data comprises: the maximum remote connection upper limit data of the interactive node, the CPU upper limit data of the interactive node and the memory upper limit data of the interactive node;
selecting one or more interactive nodes from the plurality of interactive nodes according to the remote connection policy data associated with the user, including: and selecting one or more interactive nodes from the plurality of interactive nodes according to the maximum remote connection upper limit data of the interactive nodes related to the user, the CPU upper limit data of the interactive nodes and the memory upper limit data of the interactive nodes.
3. The method of interactive resource allocation for seismic data interpretation of claim 2, wherein the remote connection policy data further comprises: container template setup data;
selecting one or more interactive nodes from the plurality of interactive nodes according to the remote connection policy data associated with the user, further comprising: and selecting one or more interactive nodes from the plurality of interactive nodes according to the container template setting data associated with the user.
4. The method of claim 1, wherein the allocating of interaction resources according to the selected one or more interaction nodes comprises:
for each selected interactive node in the one or more interactive nodes, acquiring real-time data corresponding to the interactive node, where the real-time data includes: real-time CPU data, real-time memory data and disk read-write rate data;
and performing interactive resource allocation according to the real-time data of each interactive node.
5. An interactive resource allocation apparatus for seismic data interpretation, comprising:
the data acquisition module is used for acquiring a server group and remote connection strategy data associated with a user;
the node determining module is used for determining a plurality of interactive nodes according to the server group associated with the user;
the node selection module is used for selecting one or more interactive nodes from the interactive nodes according to the remote connection strategy data associated with the user;
and the distribution module is used for distributing the interactive resources according to the selected one or more interactive nodes.
6. The interactive resource allocation apparatus for seismic data interpretation of claim 5, wherein the remote connection policy data comprises: the maximum remote connection upper limit data of the interactive node, the CPU upper limit data of the interactive node and the memory upper limit data of the interactive node;
the node selection module is further configured to: and selecting one or more interactive nodes from the plurality of interactive nodes according to the maximum remote connection upper limit data of the interactive nodes related to the user, the CPU upper limit data of the interactive nodes and the memory upper limit data of the interactive nodes.
7. The interactive resource allocation apparatus for seismic data interpretation of claim 6, wherein the remote connection policy data further comprises: container template setup data;
the node selection module is further configured to: and selecting one or more interactive nodes from the plurality of interactive nodes according to the container template setting data associated with the user.
8. The interaction resource allocation apparatus for seismic data interpretation of claim 5, wherein the allocation module is specifically configured to:
for each selected interactive node in the one or more interactive nodes, acquiring real-time data corresponding to the interactive node, where the real-time data includes: real-time CPU data, real-time memory data and disk read-write rate data;
and performing interactive resource allocation according to the real-time data of each interactive node.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 4 when executing the computer program.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of any one of claims 1 to 4.
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Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102866424A (en) * | 2012-09-18 | 2013-01-09 | 中国石油天然气股份有限公司 | Seismic data remote processing system based on cloud computing |
CN103227754A (en) * | 2013-04-16 | 2013-07-31 | 浪潮(北京)电子信息产业有限公司 | Dynamic load balancing method of high-availability cluster system, and node equipment |
CN104753977A (en) * | 2013-12-26 | 2015-07-01 | 中国石油化工股份有限公司 | Seismic processing and interpretation infrastructure cloud resource scheduling method based on fuzzy clustering |
CN105389196A (en) * | 2014-09-04 | 2016-03-09 | 中国石油化工股份有限公司 | Method for processing seismic data by utilizing virtualization technology |
CN106330545A (en) * | 2016-08-26 | 2017-01-11 | 电子科技大学 | Seismic interpretation system and data transmission scheduling method based on system |
CN109344135A (en) * | 2018-10-18 | 2019-02-15 | 中国海洋石油集团有限公司 | A kind of parallel seismic processing job scheduling method of the file lock of automatic load balancing |
-
2020
- 2020-04-15 CN CN202010294449.9A patent/CN113535373A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102866424A (en) * | 2012-09-18 | 2013-01-09 | 中国石油天然气股份有限公司 | Seismic data remote processing system based on cloud computing |
CN103227754A (en) * | 2013-04-16 | 2013-07-31 | 浪潮(北京)电子信息产业有限公司 | Dynamic load balancing method of high-availability cluster system, and node equipment |
CN104753977A (en) * | 2013-12-26 | 2015-07-01 | 中国石油化工股份有限公司 | Seismic processing and interpretation infrastructure cloud resource scheduling method based on fuzzy clustering |
CN105389196A (en) * | 2014-09-04 | 2016-03-09 | 中国石油化工股份有限公司 | Method for processing seismic data by utilizing virtualization technology |
CN106330545A (en) * | 2016-08-26 | 2017-01-11 | 电子科技大学 | Seismic interpretation system and data transmission scheduling method based on system |
CN109344135A (en) * | 2018-10-18 | 2019-02-15 | 中国海洋石油集团有限公司 | A kind of parallel seismic processing job scheduling method of the file lock of automatic load balancing |
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