CN105471945A - Application method of cloud storage in seismic integrated interpretation - Google Patents

Application method of cloud storage in seismic integrated interpretation Download PDF

Info

Publication number
CN105471945A
CN105471945A CN201410447960.2A CN201410447960A CN105471945A CN 105471945 A CN105471945 A CN 105471945A CN 201410447960 A CN201410447960 A CN 201410447960A CN 105471945 A CN105471945 A CN 105471945A
Authority
CN
China
Prior art keywords
cloud
data
client
cloud storage
user
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201410447960.2A
Other languages
Chinese (zh)
Inventor
杨澎涛
孙剑
李战强
贾立辉
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Petroleum and Chemical Corp
Geophysical Research Institute of Sinopec Shengli Oilfield Co
Original Assignee
China Petroleum and Chemical Corp
Geophysical Research Institute of Sinopec Shengli Oilfield Co
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Petroleum and Chemical Corp, Geophysical Research Institute of Sinopec Shengli Oilfield Co filed Critical China Petroleum and Chemical Corp
Priority to CN201410447960.2A priority Critical patent/CN105471945A/en
Publication of CN105471945A publication Critical patent/CN105471945A/en
Pending legal-status Critical Current

Links

Landscapes

  • Telephonic Communication Services (AREA)

Abstract

The invention provides an application method of cloud storage in seismic integrated interpretation. The application method adopts a cloud storage system, a web interface, a multi-platform client and an automatic synchronization technology, wherein the cloud storage system is established based on a ceph distributed file system; the web interface is developed by utilizing an REST interface provided by cloud storage; the multi-platform client utilizes HTTP/HTTPS/WebDAV protocols; and the automatic synchronization technology adopts a similar Git version control model for calculating and managing states of files at the client and a server, and utilizes an Inotify file monitoring mechanism and an HTTP long connection technology. The application method provided by the invention combines cloud storage with seismic integrated interpretation organically, expands a storage pattern of the seismic integrated interpretation, and brings convenience to a user to use seismic integrated interpretation data remotely; and the cloud storage provides higher expansibility and safety for production data.

Description

A kind of cloud is stored in the application process in Seismic Interpretation
Technical field
The present invention relates to computer cloud application, particularly relate to a kind of cloud and be stored in application process in Seismic Interpretation.
Background technology
At present, the storage of Seismic Interpretation professional software application is mainly based on the network storage (NAS) or direct-connected storage (DAS), but this two class storage poor expandability, storage O&M cost are high, throughput performance exists bottleneck.This two class stores owing to not adopting distributed file system simultaneously, all access pressure cannot be evenly distributed to multiple memory node, thus between storage system and application system, there is transmission bottleneck, easily produce Single Point of Faliure.And cloud storage at present is mainly supplied in the mode of net dish the download of uploading that user carries out data, be all carry out photo as net dish, the filing and sharing of file uses, and Seismic Interpretation professional software is the data that cannot directly read on net dish, limit the use that cloud is stored in Seismic Interpretation field, cannot combine with traditional professional application software, also limit the application that cloud is stored in other field.
Summary of the invention
The object of the invention is to solve above technical problem, a kind of cloud is provided to be stored in application process in Seismic Interpretation, to realize effective combination of cloud storage and Seismic Interpretation software, expand the storage class that Seismic Interpretation uses, solve poor expandability in conventional store, store the problems such as O&M cost is high, throughput performance is low.
Object of the present invention realizes by following technical solution:
Cloud is stored in the application process in Seismic Interpretation, comprises cloud storage system, based on the WEB interface of REST interface exploitation, and multi-platform client, automatic synchronization technology, wherein:
Described cloud storage system, is build Seismic Interpretation cloud storage system based on ceph distributed storage architecture, cloud storage is set to net dish, for management, store user data, and externally provide several data read-write interface;
The described WEB interface based on REST interface exploitation, is the REST interface exploitation web interface utilizing cloud storage to provide, realizes the transmission of data, and user does not need to install any software and is namely stored into row data interaction by web page and cloud;
Described multi-platform client, utilize HTTP/HTTPS/WebDAV agreement, windows platform, Linux platform or Android platform are developed cloud and stores client software, by windows client, user the data automatic synchronization of production to cloud store on, linuxn client can automatically user upload to cloud store data syn-chronization return local file system for Seismic Interpretation professional software;
Described automatic synchronization technology, have employed that similar Git Version Control model calculates, management document is in the state of client and server end; By Inotify file monitor mechanism and the long interconnection technique of HTTP, realize the change of real-time capture-data, and triggering synchronous process, thus realize automatic synchronization.
Such scheme comprises further: described automatic synchronization technology runs a monitoring process at linux system, detects the interpolation of data, amendment, deletion action, and in real time and cloud stores service end carry out synchronously.
The application process key step that described cloud is stored in Seismic Interpretation is as follows:
Step 1, user, some creation datas collected, comprises well data, segy data, stores upper or stored to cloud by WEB interface manual transmission by multi-platform client automatic synchronization to cloud;
Step 2, linuxn client uploads to data automatic synchronization that cloud stores to local file system user, and then Seismic Interpretation professional software loads these data and carries out computing, generates all kinds of performance data;
Step 3, linuxn client stores all kinds of performance data automatic synchronizations generated to cloud, when user goes on business, all kinds of performance data automatic synchronizations in cloud storage on notebook or mobile phone, so that user checks.
Cloud of the present invention is stored in the application process in Seismic Interpretation, cloud storage and Seismic Interpretation are combined, expand the memory module of Seismic Interpretation, for user's long-range use Seismic Interpretation data provide convenient, simultaneously cloud stores also for creation data provides higher autgmentability and fail safe.Adopt the present invention, achieve effective application that traditional specialty software stores cloud, expanded the range of application that cloud stores, make cloud storage and actual production carry out effective combination.
Accompanying drawing explanation
Fig. 1 is the flow chart that a kind of cloud of the present invention is stored in a specific embodiment of the application process in Seismic Interpretation;
Fig. 2 is the WEB transport interface exploded view based on the exploitation of REST software architecture of the present invention;
Fig. 3 is the windows platform client end interface figure based on HTTP/HTTPS/WebDAV protocol development;
Fig. 4 is the client control process sectional drawing developed under Linux platform.
Embodiment
For making above and other object of the present invention, feature and advantage can become apparent, cited below particularly go out preferred embodiment, and coordinate institute's accompanying drawings, be described in detail below.
Cloud is stored in the application process in Seismic Interpretation, comprises cloud storage system, based on the WEB interface of REST interface exploitation, and multi-platform (windows, Linux, Android etc.) client, automatic synchronization technology:
Described cloud storage system, utilizes ceph framework to build cloud stores service, for management, stores user data, and externally provides several data read-write interface;
The described WEB interface based on REST interface exploitation, the REST interface exploitation web interface utilizing cloud storage to provide exactly, realizes the transmission of data, and user does not need to install any software and is namely stored into row data interaction by web page and cloud.
Described multi-platform client, utilize HTTP/HTTPS/WebDAV agreement exactly, windows platform, Linux platform and Android platform are developed cloud and stores client software, by windows client, user can the data automatic synchronization of production to cloud store on, linuxn client can automatically user upload to cloud store data syn-chronization return local file system for Seismic Interpretation professional software.
Described automatic synchronization technology, have employed that similar Git Version Control model calculates, the state at client and server end of management document.By Inotify file monitor mechanism and the long interconnection technique of HTTP, realize the change of real-time capture-data, and triggering synchronous process, thus realize automatic synchronization.
Key step is as follows:
Step 1, user is stored some creation datas collected (as well data, segy data etc.) upper by multi-platform client automatic synchronization to cloud or is stored to cloud by WEB interface manual transmission.
Step 2, linuxn client uploads to data automatic synchronization that cloud stores to local file system user, and then Seismic Interpretation professional software loads these data and carries out computing, generates all kinds of performance data.
Step 3, linuxn client can store all kinds of performance data automatic synchronizations generated to cloud, when user goes on business, all kinds of performance data automatic synchronizations that cloud can be stored, on notebook or mobile phone, user friendlyly to be checked.
As shown in Figure 1, Fig. 1 is the flow chart that a kind of cloud of the present invention is stored in the application process in Seismic Interpretation.In step 101, user is stored the data upload needed by multi-platform client or web interface to cloud.Flow process enters into step 102.
In step 102, cloud stores in order to the fail safe improving data breaks up piecemeal data, and according to object pattern, data are stored, flow process enters into step 103
In step 103, the data automatic synchronization that linuxn client uploads user is to local file system, and local file system can be that the cloud of mounting stores NFS file system.Flow process enters into step 104
In step 104, Seismic Interpretation professional software reads the data be synchronized in NFS file system, and after carrying out waiting operation alternately, forms all kinds of performance data.Flow process enters into step 105
In step 105, linuxn client stores all kinds of performance data automatic synchronizations produced to cloud, user just can pass through notebook anywhere or anytime, and performance data, the terminals such as mobile phone are synchronized to that this locality carries out showing, report etc.
Fig. 2 is that user uploads the sectional drawing of Welldata1, Welldata2, Welldata3 tri-well data by web interface.
Fig. 4 is after the monitoring process under Linux platform finds that user uploads Welldata1, Welldata2, Welldata3 tri-files, the schematic diagram that automatic synchronization reads to local file system for professional software.

Claims (3)

1. cloud is stored in the application process in Seismic Interpretation, comprises cloud storage system, based on the WEB interface of REST interface exploitation, and multi-platform client, automatic synchronization technology, is characterized in that:
Described cloud storage system, is build Seismic Interpretation cloud storage system based on ceph distributed storage architecture, cloud storage is set to net dish, for management, store user data, and externally provide several data read-write interface;
The described WEB interface based on REST interface exploitation, is the REST interface exploitation web interface utilizing cloud storage to provide, realizes the transmission of data, and user does not need to install any software and is namely stored into row data interaction by web page and cloud;
Described multi-platform client, utilize HTTP/HTTPS/WebDAV agreement, windows platform, Linux platform or Android platform are developed cloud and stores client software, by windows client, user the data automatic synchronization of production to cloud store on, linuxn client can automatically user upload to cloud store data syn-chronization return local file system for Seismic Interpretation professional software;
Described automatic synchronization technology, have employed that similar Git Version Control model calculates, management document is in the state of client and server end; By Inotify file monitor mechanism and the long interconnection technique of HTTP, realize the change of real-time capture-data, and triggering synchronous process, thus realize automatic synchronization.
2. cloud according to claim 1 is stored in the application process in Seismic Interpretation, it is characterized in that: described automatic synchronization technology runs a monitoring process at linux system, detect the interpolation of data, amendment, deletion action, and in real time and cloud stores service end carry out synchronously.
3. cloud according to claim 1 and 2 is stored in the application process in Seismic Interpretation, it is characterized in that key step is as follows:
Step 1, user, some creation datas collected, comprises well data, segy data, stores upper or stored to cloud by WEB interface manual transmission by multi-platform client automatic synchronization to cloud;
Step 2, linuxn client uploads to data automatic synchronization that cloud stores to local file system user, and then Seismic Interpretation professional software loads these data and carries out computing, generates all kinds of performance data;
Step 3, linuxn client stores all kinds of performance data automatic synchronizations generated to cloud, when user goes on business, all kinds of performance data automatic synchronizations in cloud storage on notebook or mobile phone, so that user checks.
CN201410447960.2A 2014-09-04 2014-09-04 Application method of cloud storage in seismic integrated interpretation Pending CN105471945A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410447960.2A CN105471945A (en) 2014-09-04 2014-09-04 Application method of cloud storage in seismic integrated interpretation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410447960.2A CN105471945A (en) 2014-09-04 2014-09-04 Application method of cloud storage in seismic integrated interpretation

Publications (1)

Publication Number Publication Date
CN105471945A true CN105471945A (en) 2016-04-06

Family

ID=55609212

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410447960.2A Pending CN105471945A (en) 2014-09-04 2014-09-04 Application method of cloud storage in seismic integrated interpretation

Country Status (1)

Country Link
CN (1) CN105471945A (en)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106559429A (en) * 2016-11-28 2017-04-05 北京铭铭鑫软件有限公司 An a kind of key based on linux system is changed planes method
CN106713300A (en) * 2016-12-16 2017-05-24 普华基础软件股份有限公司 WEBDAV (Web-based Distributed Authoring and Versioning) based general file sharing system and method
CN109635039A (en) * 2018-11-23 2019-04-16 金色熊猫有限公司 Multiple data centers method of data synchronization and system
CN110542920A (en) * 2019-09-03 2019-12-06 北京云庐科技有限公司 Seismic data processing method and system
CN111443397A (en) * 2019-01-16 2020-07-24 吉林大学 Remote nuclear magnetic resonance operation and maintenance platform system based on cloud technology
CN112632595A (en) * 2019-09-24 2021-04-09 中国石油化工股份有限公司 Information collection method and system based on seismic data interpretation software
CN113030954A (en) * 2021-04-20 2021-06-25 吉林大学 Ground penetrating radar data SVD distributed algorithm based on Flink

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102088491A (en) * 2011-02-01 2011-06-08 西安建筑科技大学 Distributed storage oriented cloud storage security architecture and data access method thereof
CN102868754A (en) * 2012-09-26 2013-01-09 北京联创信安科技有限公司 High-availability method, node device and system for achieving cluster storage
CN104008028A (en) * 2014-05-22 2014-08-27 北京大学 Intelligent mobile terminal data storage and backup method and system based on multi-cloud storage

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102088491A (en) * 2011-02-01 2011-06-08 西安建筑科技大学 Distributed storage oriented cloud storage security architecture and data access method thereof
CN102868754A (en) * 2012-09-26 2013-01-09 北京联创信安科技有限公司 High-availability method, node device and system for achieving cluster storage
CN104008028A (en) * 2014-05-22 2014-08-27 北京大学 Intelligent mobile terminal data storage and backup method and system based on multi-cloud storage

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
李宪莉: "《玩转我的乐Pad》", 31 March 2012 *
魏佳伟,王秀慧: "云存储及其在石油行业的应用前景", 《石油行业计算机新技术应用论文集2012》 *

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106559429A (en) * 2016-11-28 2017-04-05 北京铭铭鑫软件有限公司 An a kind of key based on linux system is changed planes method
CN106713300A (en) * 2016-12-16 2017-05-24 普华基础软件股份有限公司 WEBDAV (Web-based Distributed Authoring and Versioning) based general file sharing system and method
CN109635039A (en) * 2018-11-23 2019-04-16 金色熊猫有限公司 Multiple data centers method of data synchronization and system
CN109635039B (en) * 2018-11-23 2021-08-24 金色熊猫有限公司 Multi-data center data synchronization method and system
CN111443397A (en) * 2019-01-16 2020-07-24 吉林大学 Remote nuclear magnetic resonance operation and maintenance platform system based on cloud technology
CN110542920A (en) * 2019-09-03 2019-12-06 北京云庐科技有限公司 Seismic data processing method and system
CN110542920B (en) * 2019-09-03 2021-06-22 北京云庐科技有限公司 Seismic data processing method and system
CN112632595A (en) * 2019-09-24 2021-04-09 中国石油化工股份有限公司 Information collection method and system based on seismic data interpretation software
CN112632595B (en) * 2019-09-24 2024-04-09 中国石油化工股份有限公司 Information collection method and system based on seismic data interpretation software
CN113030954A (en) * 2021-04-20 2021-06-25 吉林大学 Ground penetrating radar data SVD distributed algorithm based on Flink

Similar Documents

Publication Publication Date Title
CN105471945A (en) Application method of cloud storage in seismic integrated interpretation
CN103604273B (en) The method of intelligent refrigerator food control
US9411845B2 (en) Integration flow database runtime
US10992587B2 (en) Automated data flows using flow-based data processor blocks
CN105453520B (en) Method and apparatus for managing the technology of the status information of web services
CN105608144A (en) Big data analysis platform device and method based on multilayer model iteration
US11676066B2 (en) Parallel model deployment for artificial intelligence using a primary storage system
CN105205143B (en) A kind of storage of file and processing method, equipment and system
CN106126395B (en) A kind of cloud platform monitoring method and system
CN103916479A (en) Cloud synchronous local area network accelerating system based on working group document
CN104144150A (en) Method, device and system for having access to information through metadata
CN107508869B (en) Tracing data acquisition method and client
CN103067480A (en) Synchronized method and system of network disk
CN103617199A (en) Data operating method and data operating system
CN104160397A (en) Location independent files
Di Francesco et al. A storage infrastructure for heterogeneous and multimedia data in the internet of things
WO2012012515A3 (en) System and method for managing data on an occasionally connected mobile device
CN102480489A (en) Logging method and device used in distributed environment
US10019185B2 (en) System and method for copying directory structures
CN102281312A (en) Data loading method and system and data processing method and system
CN102932476B (en) Network storage synchro system
CN106101710A (en) A kind of distributed video transcoding method and device
KR20220026603A (en) File handling methods, devices, electronic devices and storage media
CN105022779A (en) Method for realizing HDFS file access by utilizing Filesystem API
KR102031589B1 (en) Methods and systems for processing relationship chains, and storage media

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
WD01 Invention patent application deemed withdrawn after publication
WD01 Invention patent application deemed withdrawn after publication

Application publication date: 20160406