{"id":5497,"date":"2022-05-20T12:31:11","date_gmt":"2022-05-20T18:31:11","guid":{"rendered":"https:\/\/bluware.com\/?page_id=5497"},"modified":"2024-05-03T11:46:02","modified_gmt":"2024-05-03T17:46:02","slug":"seismic-deep-learning-interpretation","status":"publish","type":"page","link":"https:\/\/bluware.com\/seismic-deep-learning-interpretation\/","title":{"rendered":"Store and Utilize Seismic Data in the Cloud for Interactive Interpretation Workflows"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"5497\" class=\"elementor elementor-5497\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section data-dce-background-color=\"#242424\" data-dce-background-image-url=\"https:\/\/bluware.com\/wp-content\/uploads\/2022\/02\/Bluware_InteractivAI_Petroleum_System_2.png\" class=\"elementor-section elementor-top-section elementor-element elementor-element-213a904e elementor-section-stretched elementor-section-full_width elementor-section-height-full elementor-section-items-bottom elementor-section-content-bottom elementor-reverse-mobile elementor-section-height-default\" data-id=\"213a904e\" data-element_type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-7725f617\" data-id=\"7725f617\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3efc98f2 elementor-invisible elementor-widget elementor-widget-heading\" data-id=\"3efc98f2\" data-element_type=\"widget\" data-settings=\"{&quot;_animation&quot;:&quot;fadeIn&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">STORE &amp; UTILIZE SEISMIC DATA IN THE CLOUD FOR INTERPRETATION<\/h1>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-b96de1a\" data-id=\"b96de1a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-13a84d31 elementor-widget elementor-widget-spacer\" data-id=\"13a84d31\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-731dcf2a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"731dcf2a\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-47af72b5\" data-id=\"47af72b5\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3fe959c8 elementor-widget elementor-widget-text-editor\" data-id=\"3fe959c8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\tThe oil and gas subsurface sector is at the precipice of two pivotal developments that are intrinsically linked: the pressure to transition to renewable energy and the imperative for digital transformation to increase efficiency. These developments are underpinned by four significant industry trends, each urging oil and gas companies to invest in digital technologies.\n<ul>\n \t<li><strong>Cloud computing<\/strong> is now so advanced and accessible, there is nothing it cannot achieve that used to be possible only on-premises or in massive high-performance computing (HPC) systems. It is already solving problems in other complex industries like finance and health and the oil and gas sector can benefit from the same in simplifying overall operations. Implementing cloud technology is a significant opportunity for oil and gas companies because it allows them to scale their business.<\/li>\n \t<li><strong>Standardization<\/strong> is something that has been historically lacking in the oil and gas industry, which is still heavily reliant on proprietary internal systems. A recent exception is the formation of <a href=\"https:\/\/osduforum.org\/\">The Open Group OSDU\u2122 Data Platform<\/a>, an open-source, technology-agnostic platform that allows energy operator and service companies to collaborate. Standardization allows greater innovation and collaboration, simplifying acquisitions and divestments of assets. Companies can overcome data management challenges, and it can all be done in the cloud using a common set of communication protocols.<\/li>\n \t<li><strong>Machine learning<\/strong> also leverages cloud technology and common data formats and platforms. Implementing machine learning using legacy data formats and internal infrastructures is time-consuming and limited. Just like other industries, the oil and gas industry is ready to adopt advanced machine learning solutions now. Machine learning will not make the oil and gas workforce obsolete\u2014but it will drive out non-interactive systems. This means the most skilled experts will adopt machine learning and lead faster, more accurate decision-making.<\/li>\n \t<li><strong>\u2018New Energy\u2019<\/strong> is the concept of an evolving oil and gas sector as demand for fossil-based energy changes. Oil companies are adapting to market changes, including demand for more transparency on emissions, more sustainable energy sources, and carbon capture technology. Using cloud computing, standardization, and deep learning, these companies are becoming more agile and poised for success throughout the energy transition.<\/li>\n<\/ul>\n<h4><strong>A Seismic Data Format Designed for the Cloud<\/strong><\/h4>\nAs companies continue to wrestle with enormous, complex data streams such as petabytes of seismic data, the pressure to invest in digital technology intensifies. Bluware has adapted to this imperative, delivering a <a href=\"https:\/\/bluware.com\/data-solutions\/vds\/\">cloud-based format for storing seismic data<\/a> called <a href=\"https:\/\/bluware.com\/data-solutions\/vds\/\">Volume Data Store (VDS\u2122)<\/a> and an <a href=\"https:\/\/bluware.com\/data-solutions\/interactivai\/\">interactive deep learning process<\/a> called <a href=\"https:\/\/bluware.com\/data-solutions\/interactivai\/\">InteractivAI\u2122.<\/a>\n\nBased on concepts developed in the gaming industry, VDS is an advanced, cloud-ready system for storing signal data that enables fast, random access to multidimensional volumetric data. This technology, 20 years in the making, is flexible enough to handle petabytes of seismic data, which can be stored in traditional file storage systems on-premises or as objects in the cloud.\n\nVDS is revolutionizing seismic workflows by reading data stored with adaptive compression. By making seismic data more accessible and scalable, VDS offers advantages like fast access and cost-effective storage using cloud providers such as <a href=\"https:\/\/go.bluware.com\/interactivai_on_aws\">AWS<\/a> and <a href=\"https:\/\/go.bluware.com\/bluware-on-azure-markeplace\">Microsoft<\/a>, through a unique combination of features, including:\n\n\u2022 <a href=\"https:\/\/bluware.com\/blog\/what-is-adaptive-streaming\/\">Adaptive Streaming\u2122<\/a>, eliminating the need to copy and convert data to different formats\n\u2022 <a href=\"https:\/\/youtu.be\/lmoPMh6dCiY\">Trulossless\u2122 adaptive compression<\/a>, enabling SEG-Y data compression without having to store copies\n\u2022 Truserverless\u2122, the server-less, cloud-ready VDS architecture that lowers hardware and storage cost\n\u2022 Random access patterns, which enable interactive deep learning\n\u2022 Optimization for GPU and multithreading\n\u2022 Direct API access to streamline workflows\n\n<a href=\"https:\/\/bluware.com\/blog\/understanding-the-capabilities-of-bluware-vds-and-openvds\/\">OpenVDS<\/a>, an open-source API to access VDS, is available on the OSDU Data Platform. Bluware also provides <a href=\"https:\/\/bluware.com\/data-solutions\/vds\/openvds-plus\/\">OpenVDS+<\/a>, which has all the capabilities of the OpenVDS API and adds the ability to compress VDS using Bluware\u2019s industry-leading compression technology.\n<h4><b>Streaming Seismic Data into Your Interpretation Workflows<\/b><\/h4>\n<a href=\"https:\/\/bluware.com\/data-solutions\/fast\/\">Bluware Flexible Access Storage Transcoding (FAST\u2122)<\/a> uses <a href=\"https:\/\/bluware.com\/blog\/what-is-adaptive-streaming\/\">Adaptive Streaming<\/a> to stream seismic data from VDS into your interpretation application, enabling the application to read the data without duplicating it. This means you can move applications to the cloud and access stored objects directly and immediately. FAST creates a centralized hub of seismic data, allowing businesses to reduce or eliminate costs associated with disks and traditional file storage systems while making workflows faster.\n<h4><strong>AI in oil and gas<\/strong><\/h4>\nAI, or artificial intelligence, refers to machines that have been programmed to simulate human intelligence, taking iterative actions to solve problems. Algorithms are an important framework for the many types and levels of AI. Machine learning, a subset of AI that refers to the concept that computer programs can adapt and learn from new data without human assistance, also uses algorithms to model and predict outcomes. This type of automated learning is enabled by deep learning, which is essentially layers of data networks that accurately cluster data and approximate predictions.\n\nAdoption of AI applications in the oil and gas industry has been slow but is gaining traction. More specifically, deep learning tools are being used more often to generate results that drive cost-efficient decision-making. Unlike a <a href=\"https:\/\/bluware.com\/blog\/the-black-box-vs-interactive-approach-to-deep-learning\/\">\u201cblack box\u201d method<\/a> where deep learning tools receive seismic data and generate outputs that data scientists are supposed to trust without any transparency into the pre-trained data, <a href=\"https:\/\/youtu.be\/189lxx7-cc8\">interactive deep learning<\/a>\u2014a concept trailblazed by Bluware\u2014lifts the veil from the black box by allowing interpreters to train data, adjusting and optimizing the deep learning network in real time. Geoscientists are in control of the deep learning process from the start, producing models they can trust from a blank, untrained network.\n<h4><strong>Interactive Deep Learning for Seismic Workflows<\/strong><\/h4>\n<a href=\"https:\/\/bluware.com\/data-solutions\/interactivai\/\">InteractivAI\u2122<\/a> uses VDS to optimize interpretation workflows so geoscientists can get the most accurate results in a fraction of the time.\n\nMost deep learning solutions are not truly interactive, using pre-trained data that may be irrelevant to the project at hand. InteractivAI works <em>with<\/em> geoscientists, not <em>at<\/em> them, keeping them in the driver\u2019s seat through two-way, real-time feedback to understand what is being interpreted. This way, the tool captures the expert\u2019s knowledge and delivers a more precise, detailed interpretation.\n\nBecause it learns through the geoscientist\u2019s refinement, InteractivAI improves outcomes by suggesting alternative interpretations or other features that may have been missed. By capturing a more granular, accurate level of detail from the data, the tool can inform faster decision-making with more holistic results. Rather than replacing geoscientists through AI, this solution can make them even better interpreters.\n\nInteractivAI can interpret any geological or geophysical feature\u2014not just faults or salt structures. Geoscientists using this tool can interpret channels, petroleum system elements, shallow hazards, and more. Its ability to preserve and use intelligence from previous projects can guide asset teams more precisely. It also allows geoscientists to collaborate and transfer knowledge to colleagues from anywhere at any time because it is cloud- and web-native.\n<h4><strong>Revolutionizing the Way Energy Companies Store and Use Seismic Data<\/strong><\/h4>\nBluware designed InteractivAI not only with seismic workflows in mind, but also with an eye on the trends shaping the future of the energy sector. Creating a cloud-native data format makes it scalable for E&amp;Ps to do more with their data while lowering costs and speeding up workflows, allowing them to arrive at more accurate decisions faster.\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section data-dce-background-image-url=\"https:\/\/bluware.com\/wp-content\/uploads\/2020\/04\/form-sect-bg02.jpg\" class=\"elementor-section elementor-top-section elementor-element elementor-element-4c7a238 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4c7a238\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-56d7c9f8\" data-id=\"56d7c9f8\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-3fa41f55 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3fa41f55\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div data-dce-background-color=\"#FFFFFF\" class=\"elementor-column elementor-col-100 elementor-inner-column elementor-element elementor-element-310ac1d1\" data-id=\"310ac1d1\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-661e81ac elementor-widget elementor-widget-text-editor\" data-id=\"661e81ac\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<h3 style=\"text-align: center;\">Let\u2019s Chat<\/h3>\n<p style=\"padding-bottom: 0; margin-bottom: 0px; text-align: center;\">Are you ready to enter the next generation of subsurface data management and workflows?<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-54714d21 elementor-widget elementor-widget-shortcode\" data-id=\"54714d21\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-shortcode\">\n\t\t\t\t\t<script>\n\t\t\t\t\t\twindow.hsFormsOnReady = window.hsFormsOnReady || [];\n\t\t\t\t\t\twindow.hsFormsOnReady.push(()=>{\n\t\t\t\t\t\t\thbspt.forms.create({\n\t\t\t\t\t\t\t\tportalId: 6868771,\n\t\t\t\t\t\t\t\tformId: \"9c32c30b-d8aa-43be-9f6a-fd422b817434\",\n\t\t\t\t\t\t\t\ttarget: \"#hbspt-form-1778012158000-5677474679\",\n\t\t\t\t\t\t\t\tregion: \"na1\",\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t})});\n\t\t\t\t\t<\/script>\n\t\t\t\t\t<div class=\"hbspt-form\" id=\"hbspt-form-1778012158000-5677474679\"><\/div><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>STORE &#038; UTILIZE SEISMIC DATA IN THE CLOUD FOR INTERPRETATION The oil and gas subsurface sector is at the precipice of two pivotal developments that are intrinsically linked: the pressure to transition to renewable energy and the imperative for digital transformation to increase efficiency. These developments are underpinned by four significant industry trends, each urging [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"class_list":["post-5497","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Store and Utilize Seismic Data in the Cloud for Interactive Interpretation Workflows - Bluware<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/bluware.com\/seismic-deep-learning-interpretation\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Store and Utilize Seismic Data in the Cloud for Interactive Interpretation Workflows - Bluware\" \/>\n<meta property=\"og:description\" content=\"STORE &#038; UTILIZE SEISMIC DATA IN THE CLOUD FOR INTERPRETATION The oil and gas subsurface sector is at the precipice of two pivotal developments that are intrinsically linked: the pressure to transition to renewable energy and the imperative for digital transformation to increase efficiency. These developments are underpinned by four significant industry trends, each urging [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/bluware.com\/seismic-deep-learning-interpretation\/\" \/>\n<meta property=\"og:site_name\" content=\"Bluware\" \/>\n<meta property=\"article:modified_time\" content=\"2024-05-03T17:46:02+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@BluwareCorp\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/bluware.com\/seismic-deep-learning-interpretation\/\",\"url\":\"https:\/\/bluware.com\/seismic-deep-learning-interpretation\/\",\"name\":\"Store and Utilize Seismic Data in the Cloud for Interactive Interpretation Workflows - Bluware\",\"isPartOf\":{\"@id\":\"https:\/\/bluware.com\/#website\"},\"datePublished\":\"2022-05-20T18:31:11+00:00\",\"dateModified\":\"2024-05-03T17:46:02+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/bluware.com\/seismic-deep-learning-interpretation\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/bluware.com\/seismic-deep-learning-interpretation\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/bluware.com\/seismic-deep-learning-interpretation\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/bluware.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Store and Utilize Seismic Data in the Cloud for Interactive Interpretation Workflows\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/bluware.com\/#website\",\"url\":\"https:\/\/bluware.com\/\",\"name\":\"Bluware\",\"description\":\"Subsurface Data Cloud &amp; Interpretation Solutions\",\"publisher\":{\"@id\":\"https:\/\/bluware.com\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/bluware.com\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/bluware.com\/#organization\",\"name\":\"Bluware\",\"url\":\"https:\/\/bluware.com\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/bluware.com\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/bluware.com\/wp-content\/uploads\/2020\/04\/bluware-logo-website-color-07.png\",\"contentUrl\":\"https:\/\/bluware.com\/wp-content\/uploads\/2020\/04\/bluware-logo-website-color-07.png\",\"width\":100,\"height\":100,\"caption\":\"Bluware\"},\"image\":{\"@id\":\"https:\/\/bluware.com\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/x.com\/BluwareCorp\",\"https:\/\/www.linkedin.com\/company\/bluwarecorp\/\",\"https:\/\/www.youtube.com\/channel\/UCv-Eg48hvjQMhzex69kcUMQ\",\"https:\/\/www.instagram.com\/bluwaresoftware\/\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Store and Utilize Seismic Data in the Cloud for Interactive Interpretation Workflows - Bluware","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/bluware.com\/seismic-deep-learning-interpretation\/","og_locale":"en_US","og_type":"article","og_title":"Store and Utilize Seismic Data in the Cloud for Interactive Interpretation Workflows - Bluware","og_description":"STORE &#038; UTILIZE SEISMIC DATA IN THE CLOUD FOR INTERPRETATION The oil and gas subsurface sector is at the precipice of two pivotal developments that are intrinsically linked: the pressure to transition to renewable energy and the imperative for digital transformation to increase efficiency. 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