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The results show that 70% recall with 80% precision can be achieved using this methodology. This technology could be deployed as a significant aid to geologists working to interpret or explore seismic data. Seismic data archives present one of the most difficult challenges for search and retrieval from 3D archives due to the requirements of domain specific knowledge and large data volumes for the retrieval tasks.","author":[{"@context":"https://schema.org","@type":"Person","name":"Chung-sheng Li"}],"contributor":[],"dateCreated":"2022-10-29","dateModified":"2022-10-29","datePublished":"2003-01-01","headline":"PetroSPIRE: Indexing and retrieval of seismic data for oil and gas exploration","inLanguage":"en","keywords":["Geology","Computer Science","Oil and gas"],"locationCreated":null,"publication":"SEG Technical Program Expanded Abstracts 2003","publisher":{"@context":"https://schema.org","@type":"Organization","name":"Society of Exploration Geophysicists"},"image":null,"thumbnailUrl":null,"url":"https://www.academia.edu/89460770/PetroSPIRE_Indexing_and_retrieval_of_seismic_data_for_oil_and_gas_exploration","sourceOrganization":[{"@context":"https://schema.org","@type":"EducationalOrganization","name":null}]}</script><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/single_work_page/loswp-352e32ba4e89304dc0b4fa5b3952eef2198174c54cdb79066bc62e91c68a1a91.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/body-8d679e925718b5e8e4b18e9a4fab37f7eaa99e43386459376559080ac8f2856a.css" /><link rel="stylesheet" media="all" href="//a.academia-assets.com/assets/design_system/heading-b2b823dd904da60a48fd1bfa1defd840610c2ff414d3f39ed3af46277ab8df3b.css" /><link crossorigin="" href="https://fonts.gstatic.com/" rel="preconnect" /><link 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window.loswp.showSignupCaptcha = false window.loswp.willEdgeCache = false; window.loswp.work = {"work":{"id":89460770,"created_at":"2022-10-29T06:25:25.223-07:00","from_world_paper_id":218682293,"updated_at":"2022-10-29T15:14:49.588-07:00","_data":{"abstract":"We describe a novel approach to index a seismic data archive as a database in order to provide sufficient precision and recall in specific tasks such as retrieving seismic data containing faults and strong horizons, which commonly arise in oil and gas exploration scenarios. The results show that 70% recall with 80% precision can be achieved using this methodology. This technology could be deployed as a significant aid to geologists working to interpret or explore seismic data. Seismic data archives present one of the most difficult challenges for search and retrieval from 3D archives due to the requirements of domain specific knowledge and large data volumes for the retrieval tasks.","publisher":"Society of Exploration Geophysicists","publication_date":"2003,,","publication_name":"SEG Technical Program Expanded Abstracts 2003"},"document_type":"paper","pre_hit_view_count_baseline":null,"quality":null,"language":"en","title":"PetroSPIRE: Indexing and retrieval of seismic data for oil and gas exploration","broadcastable":false,"draft":null,"has_indexable_attachment":null,"indexable":true}}["work"]; window.loswp.workCoauthors = [38280282]; window.loswp.locale = "en"; window.loswp.countryCode = "SG"; window.loswp.cwvAbTestBucket = ""; window.loswp.designVariant = "grid"; window.loswp.fullPageMobileSutdModalVariant = "control"; window.loswp.useOptimizedScribd4genScript = false; window.loswp.appleClientId = 'edu.academia.applesignon';</script><script defer="" src="https://accounts.google.com/gsi/client"></script><div class="loswp-grid--container"><div data-auto_select="false" data-client_id="331998490334-rsn3chp12mbkiqhl6e7lu2q0mlbu0f1b" data-landing_url="https://www.academia.edu/89460770/PetroSPIRE_Indexing_and_retrieval_of_seismic_data_for_oil_and_gas_exploration" data-login_uri="https://www.academia.edu/registrations/google_one_tap" data-moment_callback="onGoogleOneTapEvent" id="g_id_onload"></div><div class="above-fold js-swp-splash-above-fold"><div class="work-card--container js-swp-control-work-card" data-entity-id="89460770"><div class="work-cover--wrapper"><div class="work-cover--container"><div class="work-cover--no-attachment-container js-swp-splash-paper-cover"><div class="work-cover--file-icon-wrapper"><img alt="paper cover icon" src="//a.academia-assets.com/images/single_work_splash/adobe.icon.svg" /></div><div class="work-cover--title js-swp-splash-paper-cover-page-title">PetroSPIRE: Indexing and retrieval of seismic data for oil and gas exploration</div><br /><div style="margin-top: 170px"><button class="work-cover--request-pdf-button js-request-pdf-button"><svg style="width: 14px; 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font-weight: 500; color: #4b4b4b;"><div class="u-textTruncate"><span itemprop="author">Chung-sheng Li</span></div></div></a><script data-card-contents-for-user="38280282" type="text/json">{"id":38280282,"first_name":"Chung-sheng","middle_initials":null,"last_name":"Li","page_name":"LiChungsheng","domain_name":"independent","created_at":"2015-11-13T12:05:34.460-08:00","display_name":"Chung-sheng Li","url":"https://independent.academia.edu/LiChungsheng","photo":"https://0.academia-photos.com/38280282/17936797/17950019/s65_chung-sheng.li.jpg","has_photo":true,"interests":[{"id":43716,"name":"Digital Communications","url":"https://www.academia.edu/Documents/in/Digital_Communications"},{"id":455746,"name":"OPINION MINING AND SENTIMENT ANALYSIS","url":"https://www.academia.edu/Documents/in/OPINION_MINING_AND_SENTIMENT_ANALYSIS"},{"id":1687256,"name":"Electrical Engineering and Computer Science","url":"https://www.academia.edu/Documents/in/Electrical_Engineering_and_Computer_Science"},{"id":164637,"name":"Bit Error Rate","url":"https://www.academia.edu/Documents/in/Bit_Error_Rate"},{"id":6114,"name":"Statistical Genetics","url":"https://www.academia.edu/Documents/in/Statistical_Genetics"}]}</script><div class="work-card--no-attachment-details"><div style="font-weight: 700; font-size: 14px;">Abstract</div><div class="work-card--abstract js-swp-splash-abstract">We describe a novel approach to index a seismic data archive as a database in order to provide sufficient precision and recall in specific tasks such as retrieving seismic data containing faults and strong horizons, which commonly arise in oil and gas exploration scenarios. The results show that 70% recall with 80% precision can be achieved using this methodology. This technology could be deployed as a significant aid to geologists working to interpret or explore seismic data. Seismic data archives present one of the most difficult challenges for search and retrieval from 3D archives due to the requirements of domain specific knowledge and large data volumes for the retrieval tasks.</div></div><div class="request-upload--container"><p class="request-upload--title">Chung-sheng Li hasn't uploaded this paper.</p><div class="request-upload--info-text"><svg aria-hidden="true" focusable="false" data-prefix="fas" data-icon="info-circle" class="request-upload--info-icon svg-inline--fa fa-info-circle fa-w-16" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512"><path fill="currentColor" d="M256 8C119.043 8 8 119.083 8 256c0 136.997 111.043 248 248 248s248-111.003 248-248C504 119.083 392.957 8 256 8zm0 110c23.196 0 42 18.804 42 42s-18.804 42-42 42-42-18.804-42-42 18.804-42 42-42zm56 254c0 6.627-5.373 12-12 12h-88c-6.627 0-12-5.373-12-12v-24c0-6.627 5.373-12 12-12h12v-64h-12c-6.627 0-12-5.373-12-12v-24c0-6.627 5.373-12 12-12h64c6.627 0 12 5.373 12 12v100h12c6.627 0 12 5.373 12 12v24z"></path></svg><p class="no-margin hide-on-small-mobile">Let Chung-sheng know you want this paper to be uploaded.</p><p class="no-margin hide-above-small-mobile">Ask for this paper to be uploaded.</p></div><button class="work-cover--request-pdf-button small js-request-pdf-button hide-on-desktop"><svg style="width: 14px; 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