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'opacity-100 border-orange-300' : 'opacity-0 pointer-events-none'" > <li class="text-neutral-600 w-full"> <a href="https://www.ferolabs.com/why-fero" class="py-3 px-5 hover:font-medium hover:text-neutral-900 w-full flex flex-row items-center gap-2"> Why Fero </a> </li> <li class="text-neutral-600 w-full"> <a href="https://www.ferolabs.com/news" class="py-3 px-5 hover:font-medium hover:text-neutral-900 w-full flex flex-row items-center gap-2"> Press </a> </li> <li class="text-neutral-600 w-full"> <a href="https://www.ferolabs.com/company" class="py-3 px-5 hover:font-medium hover:text-neutral-900 w-full flex flex-row items-center gap-2"> Company </a> </li> </ul> </li> </ul> <button class="xl:hidden" data-mobile-menu-trigger id="ham-trigger"> <svg width="30px" height="30px" viewBox="0 0 48 48" version="1.1" xmlns="http://www.w3.org/2000/svg"> <g> <line x1="0" y1="17" x2="48" y2="17" stroke-width="2" /> <line x1="0" y1="31" x2="48" y2="31" stroke-width="2" /> </g> <g> <line x1="0" y1="24" x2="48" y2="24" stroke-width="2" /> <line x1="0" y1="24" x2="48" y2="24" stroke-width="2" /> </g> </svg> </button> <ul class="hidden xl:flex flex-row items-center ml-auto mr-0 pl-6 gap-6 border-l border-neutral-200"> <li> <button class="flex flex-row items-center gap-2" x-on:click="searchModal=true" >Search <img src="/dist/svg/search.svg" alt="Search icon"></button> </li> <li> <a href="https://www.ferolabs.com/get-in-touch" target="" class="group flex button button--hollow button--blue button--skinny flex-row items-center gap-[10px]">Get in touch</a> </li> </ul> </nav> </div> </header> <main id="top"> <section id="hero" class="pt-[153px] md:pt-[124px] xl:pt-[127px]"> <div class="grid md:grid-cols-2 items-center text-neutral-900 lg:min-h-[400px]"> <div class="container--left"> <div class="py-8 px-5 md:pl-8 lg:px-0 lg:pr-5 xl:pr-10 lg:py-0 mx-auto"> <h1 class="h1-small mb-4">Oil and Gas Process Optimization Software</h1> <div class="rich-text text-lg"><p>Go beyond data analytics to tackle complex production issues, with oil and gas analytics software that closes the loop between data and the control room, and empowers teams to be their most proactive. Teams using Fero Labs work 90x faster.</p></div> </div> </div> <div class="max-h-[400px] h-full"> <picture> <img src="data:image/svg+xml;charset=utf-8,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%2716%27%20height%3D%279%27%20style%3D%27background%3Atransparent%27%2F%3E" srcset="https://craft-ferolabs.transforms.svdcdn.com/production/chemicalplant.png?w=1500&amp;h=1100&amp;q=80&amp;fm=webp&amp;fit=crop&amp;crop=focalpoint&amp;fp-x=0.5&amp;fp-y=0.5&amp;dm=1707432351&amp;s=b7e9018cca0bea7b1ea4384df43869d8 1500w" sizes="100vw" class="w-full h-full object-cover" alt="Oil and Gas Process Optimization Software" > </picture> </div> </div> </section> <section id="content"> <section class=" bg-neutral-50 relative" > <div class="container padding-t-default padding-b-default"> <div class="max-w-content mx-auto"> <div class="max-w-full relative"> <div class="swiper-slide px-8 py-5 md:px-12 md:py-8 lg:px-12 lg:py-10"> <div class="flex flex-row items-center gap-5 md:gap-8"> <div class="max-w-[100px] w-full"> <picture> <img data-src="data:image/svg+xml;charset=utf-8,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%2716%27%20height%3D%279%27%20style%3D%27background%3Atransparent%27%2F%3E" data-srcset="https://craft-ferolabs.transforms.svdcdn.com/production/Philipp-Frenzel_2022-11-16-193708_vgqt.png?w=200&amp;h=200&amp;q=80&amp;fm=webp&amp;fit=crop&amp;crop=focalpoint&amp;fp-x=0.5&amp;fp-y=0.5&amp;dm=1707432336&amp;s=a448c1a1596953ee4f7af4249d55654a 200w" sizes="100vw" class="lazyload w-full rounded-full" alt="Philipp Frenzel, Head of Digital Services, Covestro headshot" > </picture> </div> <div> <h2 class="text-xl font-normal mb-5">&quot;Fero Labs enables us to bring machine learning to the factory shop floor. The highly interpretable data-driven modeling results allow for a quick yet thorough understanding of the complex relationships between measurements within our chemical plants.&quot;</h2> <p class="overline-1 text-[15px] mb-0">Philipp Frenzel, Head of Digital Services, Covestro</p> </div> </div> </div> </div> </div> </div> </section> <section class=" dynamic-bg-color transition-normal " data-dynamic-bg=""> <div class="container padding-t-default padding-b-default"> <div class="max-w-content mx-auto"> <div> <div class="mb-8 md:mb-10 lg:mb-12 xl:mb-16 xl:max-w-[975px] text-neutral-900"> <h2 class="text-[30px] md:text-[36px] lg:text-[42px] font-medium dynamic-text-main transition-normal">Solutions that drive value for oil &amp; gas facilities</h2> </div> <div x-data="tabbedSection([&quot;blue-400&quot;,&quot;white&quot;,&quot;neutral-50&quot;,&quot;blue-900&quot;])"> <ul class="flex flex-col gap-4 md:gap-[1px] md:flex-row tab-container mb-5 md:mb-8 lg:mb-12 xl:mb-16"> <li class="w-full"> <button x-on:click="updateColors('blue-400', 1)" class="w-full tab py-4 border-l border-t rounded-t-md " :class="activeIndex != 1 ? 'tab-inactive' : 'border-b-0'" >Minimize costs</button> </li> <li class="w-full"> <button x-on:click="updateColors('white', 2)" class="w-full tab py-4 border-t rounded-t-md" :class="activeIndex != 2 ? 'tab-inactive' : 'border-b-0'" >Predict when batches will fail</button> </li> <li class="w-full"> <button x-on:click="updateColors('neutral-50', 3)" class="w-full tab py-4 border-t rounded-t-md" :class="activeIndex != 3 ? 'tab-inactive' : 'border-b-0'" >Track emissions</button> </li> <li class="w-full"> <button x-on:click="updateColors('blue-900', 4)" class="w-full tab py-4 border-t border-r rounded-t-md " :class="activeIndex != 4 ? 'tab-inactive' : 'border-b-0'" >Reduce unplanned downtime</button> </li> </ul> <div class="grid md:grid-cols-2 gap-8 md:gap-12 md:items-center" x-cloak x-show="activeIndex == 1" > <picture> <img src="data:image/svg+xml;charset=utf-8,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%2716%27%20height%3D%279%27%20style%3D%27background%3Atransparent%27%2F%3E" srcset="https://craft-ferolabs.transforms.svdcdn.com/production/worker.png?w=684&amp;q=80&amp;fm=webp&amp;fit=crop&amp;crop=focalpoint&amp;fp-x=0.5&amp;fp-y=0.5&amp;dm=1707432377&amp;s=2d09272773bdc45925520342cf5ad12f 684w" sizes="100vw" class="max-w-[225px] md:max-w-[350px] mx-auto w-full" alt="Live process optimization software" > </picture> <div> <h3 class="h3">Lock in profits with live optimization insights</h3> <p class="body-small">Traditional process optimization projects can take months. And they only work under pre-defined circumstances.<br /> <br /> Fero Lab&#039;s white-box machine learning algorithms instantly analyze current and past production data to discover the most efficient process settings, taking into account any sources of variation. What used to take you months can now be done in minutes.<br /> <br /> You don&#039;t have to take our word for it--all models automatically quantify uncertainty to give you confidence in your results, even in unseen operating conditions.</p> <a class="group mt-4 inline-flex items-center gap-4 overflow-x-visible" href="https://www.ferolabs.com/insights/post/minimize-costs-maximize-production-volume-with-live-optimization" target="" x-data="{hovered:false}" x-on:mouseover="hovered=true" x-on:mouseover.away="hovered=false" :class="hovered ? 'dynamic-link-hover' : 'dynamic-link'"> Find out how <svg class="" width="14" height="11" viewBox="0 0 14 11" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <title>Right Arrow</title> <desc>An arrow pointing right</desc> <g id="Canvas" transform="translate(-8270 -4747)"> <g id="Group"> <g id="Vector"> <use xlink:href="#path0_stroke" transform="matrix(6.12323e-17 -1 1 6.12323e-17 8271 4752.73)"/> </g> <g id="Vector"> <use xlink:href="#path1_stroke" transform="matrix(6.12323e-17 -1 1 6.12323e-17 8278.77 4757.46)"/> </g> </g> </g> <defs> <path id="path0_stroke" d="M 0.5 0C 0.5 -0.276142 0.276142 -0.5 0 -0.5C -0.276142 -0.5 -0.5 -0.276142 -0.5 0L 0.5 0ZM -0.5 12.5C -0.5 12.7761 -0.276142 13 0 13C 0.276142 13 0.5 12.7761 0.5 12.5L -0.5 12.5ZM -0.5 0L -0.5 12.5L 0.5 12.5L 0.5 0L -0.5 0Z"/> <path id="path1_stroke" d="M 9.81301 0.353553C 10.0083 0.158291 10.0083 -0.158291 9.81301 -0.353553C 9.61775 -0.548816 9.30117 -0.548816 9.10591 -0.353553L 9.81301 0.353553ZM 4.72973 4.72973L 4.37618 5.08328C 4.57144 5.27855 4.88802 5.27855 5.08328 5.08328L 4.72973 4.72973ZM 0.353553 -0.353553C 0.158291 -0.548816 -0.158291 -0.548816 -0.353553 -0.353553C -0.548816 -0.158291 -0.548816 0.158291 -0.353553 0.353553L 0.353553 -0.353553ZM 9.10591 -0.353553L 4.37618 4.37618L 5.08328 5.08328L 9.81301 0.353553L 9.10591 -0.353553ZM 5.08328 4.37618L 0.353553 -0.353553L -0.353553 0.353553L 4.37618 5.08328L 5.08328 4.37618Z"/> </defs> </svg> </a> </div> </div> <div class="grid md:grid-cols-2 gap-8 md:gap-12 md:items-center" x-cloak x-show="activeIndex == 2" > <picture> <img data-src="data:image/svg+xml;charset=utf-8,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%2716%27%20height%3D%279%27%20style%3D%27background%3Atransparent%27%2F%3E" data-srcset="https://craft-ferolabs.transforms.svdcdn.com/production/machines.png?w=684&amp;q=80&amp;fm=webp&amp;fit=crop&amp;crop=focalpoint&amp;fp-x=0.5&amp;fp-y=0.5&amp;dm=1707432363&amp;s=a37c20e400b23934617a5edf3f785ef3 684w" sizes="100vw" class="lazyload max-w-[225px] md:max-w-[350px] mx-auto w-full" alt="Solutions that drive value for oil &amp; gas facilities" > </picture> <div> <h3 class="h3">Alerts detect failures before it&#039;s too late</h3> <p class="body-small">A failed batch can cost thousands of dollars to replace. It also takes up hours on the production line that could have been spent on mixing new products. <br /> <br /> With Fero Labs, operators receive alerts that a batch will fail hours ahead of time.<br /> <br /> The machine learning algorithms even tell them how to change operating parameters such as temperatures, pressures, and flow rates to fix the uncovered issues, so they can step in and adjust before it&#039;s too late.</p> <a class="group mt-4 inline-flex items-center gap-4 overflow-x-visible" href="https://www.ferolabs.com/insights/post/optimize-batch-and-continuous-processes-with-fero" target="" x-data="{hovered:false}" x-on:mouseover="hovered=true" x-on:mouseover.away="hovered=false" :class="hovered ? 'dynamic-link-hover' : 'dynamic-link'"> See it in action <svg class="" width="14" height="11" viewBox="0 0 14 11" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <title>Right Arrow</title> <desc>An arrow pointing right</desc> <g id="Canvas" transform="translate(-8270 -4747)"> <g id="Group"> <g id="Vector"> <use xlink:href="#path0_stroke" transform="matrix(6.12323e-17 -1 1 6.12323e-17 8271 4752.73)"/> </g> <g id="Vector"> <use xlink:href="#path1_stroke" transform="matrix(6.12323e-17 -1 1 6.12323e-17 8278.77 4757.46)"/> </g> </g> </g> <defs> <path id="path0_stroke" d="M 0.5 0C 0.5 -0.276142 0.276142 -0.5 0 -0.5C -0.276142 -0.5 -0.5 -0.276142 -0.5 0L 0.5 0ZM -0.5 12.5C -0.5 12.7761 -0.276142 13 0 13C 0.276142 13 0.5 12.7761 0.5 12.5L -0.5 12.5ZM -0.5 0L -0.5 12.5L 0.5 12.5L 0.5 0L -0.5 0Z"/> <path id="path1_stroke" d="M 9.81301 0.353553C 10.0083 0.158291 10.0083 -0.158291 9.81301 -0.353553C 9.61775 -0.548816 9.30117 -0.548816 9.10591 -0.353553L 9.81301 0.353553ZM 4.72973 4.72973L 4.37618 5.08328C 4.57144 5.27855 4.88802 5.27855 5.08328 5.08328L 4.72973 4.72973ZM 0.353553 -0.353553C 0.158291 -0.548816 -0.158291 -0.548816 -0.353553 -0.353553C -0.548816 -0.158291 -0.548816 0.158291 -0.353553 0.353553L 0.353553 -0.353553ZM 9.10591 -0.353553L 4.37618 4.37618L 5.08328 5.08328L 9.81301 0.353553L 9.10591 -0.353553ZM 5.08328 4.37618L 0.353553 -0.353553L -0.353553 0.353553L 4.37618 5.08328L 5.08328 4.37618Z"/> </defs> </svg> </a> </div> </div> <div class="grid md:grid-cols-2 gap-8 md:gap-12 md:items-center" x-cloak x-show="activeIndex == 3" > <picture> <img data-src="data:image/svg+xml;charset=utf-8,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%2716%27%20height%3D%279%27%20style%3D%27background%3Atransparent%27%2F%3E" data-srcset="https://craft-ferolabs.transforms.svdcdn.com/production/engineer.png?w=684&amp;q=80&amp;fm=webp&amp;fit=crop&amp;crop=focalpoint&amp;fp-x=0.5&amp;fp-y=0.5&amp;dm=1707432353&amp;s=0a495861728d2e1eb52fb48a240c7bfc 684w" sizes="100vw" class="lazyload max-w-[225px] md:max-w-[350px] mx-auto w-full" alt="Data analytics for manufacturing and industrial plants" > </picture> <div> <h3 class="h3">Soft sensors continuously monitor emissions</h3> <p class="body-small">Sustainability objectives are more important than ever. However, filling the gap between goals and tangible emissions reduction can be challenging. <br /> <br /> Fero Lab&#039;s emissions blueprint is especially designed for plants to reduce emissions while simultaneously minimizing costs, preventing the usual prohibitive investment of the typical sustainability program.<br /> <br /> Soft sensors allow you to keep ahead of tightening regulations and monitor NOx, SOx, and CO2 emissions continuously to ensure that you meet corporate sustainability goals.</p> <a class="group mt-4 inline-flex items-center gap-4 overflow-x-visible" href="https://www.ferolabs.com/insights/post/chemical-manufacturers-can-save-the-world-and-make-money-doing-it" target="" x-data="{hovered:false}" x-on:mouseover="hovered=true" x-on:mouseover.away="hovered=false" :class="hovered ? 'dynamic-link-hover' : 'dynamic-link'"> Learn more <svg class="" width="14" height="11" viewBox="0 0 14 11" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"> <title>Right Arrow</title> <desc>An arrow pointing right</desc> <g id="Canvas" transform="translate(-8270 -4747)"> <g id="Group"> <g id="Vector"> <use xlink:href="#path0_stroke" transform="matrix(6.12323e-17 -1 1 6.12323e-17 8271 4752.73)"/> </g> <g id="Vector"> <use xlink:href="#path1_stroke" transform="matrix(6.12323e-17 -1 1 6.12323e-17 8278.77 4757.46)"/> </g> </g> </g> <defs> <path id="path0_stroke" d="M 0.5 0C 0.5 -0.276142 0.276142 -0.5 0 -0.5C -0.276142 -0.5 -0.5 -0.276142 -0.5 0L 0.5 0ZM -0.5 12.5C -0.5 12.7761 -0.276142 13 0 13C 0.276142 13 0.5 12.7761 0.5 12.5L -0.5 12.5ZM -0.5 0L -0.5 12.5L 0.5 12.5L 0.5 0L -0.5 0Z"/> <path id="path1_stroke" d="M 9.81301 0.353553C 10.0083 0.158291 10.0083 -0.158291 9.81301 -0.353553C 9.61775 -0.548816 9.30117 -0.548816 9.10591 -0.353553L 9.81301 0.353553ZM 4.72973 4.72973L 4.37618 5.08328C 4.57144 5.27855 4.88802 5.27855 5.08328 5.08328L 4.72973 4.72973ZM 0.353553 -0.353553C 0.158291 -0.548816 -0.158291 -0.548816 -0.353553 -0.353553C -0.548816 -0.158291 -0.548816 0.158291 -0.353553 0.353553L 0.353553 -0.353553ZM 9.10591 -0.353553L 4.37618 4.37618L 5.08328 5.08328L 9.81301 0.353553L 9.10591 -0.353553ZM 5.08328 4.37618L 0.353553 -0.353553L -0.353553 0.353553L 4.37618 5.08328L 5.08328 4.37618Z"/> </defs> </svg> </a> </div> </div> <div class="grid md:grid-cols-2 gap-8 md:gap-12 md:items-center" x-cloak x-show="activeIndex == 4" > <picture> <img data-src="data:image/svg+xml;charset=utf-8,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%2716%27%20height%3D%279%27%20style%3D%27background%3Atransparent%27%2F%3E" data-srcset="https://craft-ferolabs.transforms.svdcdn.com/production/data.png?w=684&amp;q=80&amp;fm=webp&amp;fit=crop&amp;crop=focalpoint&amp;fp-x=0.5&amp;fp-y=0.5&amp;dm=1707432352&amp;s=f4309055b1eb680d8ebe93e4177f6f1d 684w" sizes="100vw" class="lazyload max-w-[225px] md:max-w-[350px] mx-auto w-full" alt="White-box machine learning algorithms" > </picture> <div> <h3 class="h3">Models quantify and prevent asset degradation</h3> <p class="body-small">Understanding asset efficiency decreases can save maintenance teams the valuable time and effort of dealing with unplanned downtime. Yet many existing solutions will only detect anomalies. <br /> <br /> Fero Labs goes beyond flashy predictive maintenance to take a more holistic approach to overall machine health.<br /> <br /> Engineers can predict when heat exchangers, reactive catalysts, and other assets will no longer run optimally. They can also explore root causes of degradation to find the optimal maintenance window.</p> <a class="group mt-4 inline-flex items-center gap-4 overflow-x-visible" href="https://www.ferolabs.com/insights/post/the-better-alternative-to-predictive-maintenance" target="" x-data="{hovered:false}" x-on:mouseover="hovered=true" x-on:mouseover.away="hovered=false" :class="hovered ? 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9.81301 0.353553ZM 4.72973 4.72973L 4.37618 5.08328C 4.57144 5.27855 4.88802 5.27855 5.08328 5.08328L 4.72973 4.72973ZM 0.353553 -0.353553C 0.158291 -0.548816 -0.158291 -0.548816 -0.353553 -0.353553C -0.548816 -0.158291 -0.548816 0.158291 -0.353553 0.353553L 0.353553 -0.353553ZM 9.10591 -0.353553L 4.37618 4.37618L 5.08328 5.08328L 9.81301 0.353553L 9.10591 -0.353553ZM 5.08328 4.37618L 0.353553 -0.353553L -0.353553 0.353553L 4.37618 5.08328L 5.08328 4.37618Z"/> </defs> </svg> </a> </div> </div> </div> </div> </div> </div> </section> <section class=" bg-white " > <div class="container padding-t-default padding-b-default"> <div class="max-w-content mx-auto"> <div> <div class="mb-8 md:mb-12 flex flex-col md:flex-row md:justify-between items-start md:items-center relative"> <div class="max-w-[850px]"> <h2 class="h2 font-medium text-neutral-900"></h2> </div> <a href="https://www.ferolabs.com/insights" class="link flex flex-row flex-no-wrap items-center text-orange-500 hover:text-blue-400" 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