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  <channel>
    <title>Cases &amp; White Papers</title>
    <link>https://blog.detechtion.ai/en/cases-whitepapers</link>
    <description>Learn how Detechtion's customers have increased production, reduced costs, and improved overall performance through our solutions.</description>
    <language>en</language>
    <pubDate>Fri, 24 Apr 2026 19:45:10 GMT</pubDate>
    <dc:date>2026-04-24T19:45:10Z</dc:date>
    <dc:language>en</dc:language>
    <item>
      <title>Producer Optimizes Compression Fleet Performance, Saves $2M/yr while Increasing Production by $15M/yr</title>
      <link>https://blog.detechtion.ai/en/cases-whitepapers/compression-fleet-optimization</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://blog.detechtion.ai/en/cases-whitepapers/compression-fleet-optimization" title="" class="hs-featured-image-link"&gt; &lt;img src="https://blog.detechtion.ai/hubfs/Coterrabckd.png" alt="Producer Optimizes Compression Fleet Performance, Saves $2M/yr while Increasing Production by $15M/yr" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span style="font-weight: bold;"&gt;In this case study, one of Canada’s top natural gas producers achieved production gains of $15 million per year while reducing costs by $2M annually.&amp;nbsp; &amp;nbsp;This all was accomplished through production optimization using Detechtion's Enalysis platform. &lt;/span&gt;&amp;nbsp;&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://blog.detechtion.ai/en/cases-whitepapers/compression-fleet-optimization" title="" class="hs-featured-image-link"&gt; &lt;img src="https://blog.detechtion.ai/hubfs/Coterrabckd.png" alt="Producer Optimizes Compression Fleet Performance, Saves $2M/yr while Increasing Production by $15M/yr" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span style="font-weight: bold;"&gt;In this case study, one of Canada’s top natural gas producers achieved production gains of $15 million per year while reducing costs by $2M annually.&amp;nbsp; &amp;nbsp;This all was accomplished through production optimization using Detechtion's Enalysis platform. &lt;/span&gt;&amp;nbsp;&lt;/p&gt;  
&lt;img src="https://track.hubspot.com/__ptq.gif?a=4941541&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fblog.detechtion.ai%2Fen%2Fcases-whitepapers%2Fcompression-fleet-optimization&amp;amp;bu=https%253A%252F%252Fblog.detechtion.ai%252Fen%252Fcases-whitepapers&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Case Study</category>
      <pubDate>Thu, 23 Jan 2025 21:24:18 GMT</pubDate>
      <author>tlozier@detechtion.com (Tim Lozier)</author>
      <guid>https://blog.detechtion.ai/en/cases-whitepapers/compression-fleet-optimization</guid>
      <dc:date>2025-01-23T21:24:18Z</dc:date>
    </item>
    <item>
      <title>Low Cost Compressor Facility Optimization leads to $11K/Month OpEx Reduction</title>
      <link>https://blog.detechtion.ai/en/cases-whitepapers/opex-reduction</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://blog.detechtion.ai/en/cases-whitepapers/opex-reduction" title="" class="hs-featured-image-link"&gt; &lt;img src="https://blog.detechtion.ai/hubfs/110CompressorCylinderCropped.jpg" alt="Low Cost Compressor Facility Optimization leads to $11K/Month OpEx Reduction" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span style="font-weight: bold;"&gt;In this case study, Detechtion Technologies provided the client with recommended VVCP pocket settings in order to optimize the client’s compressor packages by minimizing recycled gas, proving how single unit optimization paired with decreased utilization can yield field savings.&lt;/span&gt;&lt;br&gt;&lt;a href="https://www.linkedin.com/in/corey-scott-61273927/" title="null" style="text-decoration: underline;"&gt;&lt;/a&gt;&lt;/p&gt; 
&lt;p&gt;&lt;/p&gt;
&lt;div class="hs-cta-embed hs-cta-simple-placeholder hs-cta-embed-200447400273" style="max-width:100%; max-height:100%; width:200px;height:50px"&gt; 
 &lt;a href="https://blog.detechtion.ai/hs/cta/wi/redirect?encryptedPayload=AVxigLKPTmx6RaBVRepwHeNCWMiQ0wdmxi7BSVzIWCR4077xLwvCvCbxbEG5GMbjnQEpcwfzcboyiBomVB39sSJUggpkytB1F4iWBC1PoLykRCqRViWpSVLxSe7nqtC0hj7L5pEu%2BBfljCNxHbeMMIp1%2Bt4QfZLy4E2MRnCt%2FKbaQu2UqdeNYsoBi4tTQPaHrPEYjsMSh660GBfeb2pF3EmDlQoC8ULmO4HgD1EYboSImZKBllyWwXIkV4ZsxK3D4nZpzv1uMeXTGUKqC49SFAvN%2FOb3AaYWsQdIVSS5ieBOr5S%2FET2qOm7SsGiZ3BP0xOXmMGmNYO6X6Q%3D%3D&amp;amp;webInteractiveContentId=200447400273&amp;amp;portalId=4941541"&gt; &lt;img alt="VIEW CASE STUDY" src="https://no-cache.hubspot.com/cta/default/4941541/interactive-200447400273.png" style="height: 100%; width: 100%; object-fit: fill"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://blog.detechtion.ai/en/cases-whitepapers/opex-reduction" title="" class="hs-featured-image-link"&gt; &lt;img src="https://blog.detechtion.ai/hubfs/110CompressorCylinderCropped.jpg" alt="Low Cost Compressor Facility Optimization leads to $11K/Month OpEx Reduction" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span style="font-weight: bold;"&gt;In this case study, Detechtion Technologies provided the client with recommended VVCP pocket settings in order to optimize the client’s compressor packages by minimizing recycled gas, proving how single unit optimization paired with decreased utilization can yield field savings.&lt;/span&gt;&lt;br&gt;&lt;a href="https://www.linkedin.com/in/corey-scott-61273927/" title="null" style="text-decoration: underline;"&gt;&lt;/a&gt;&lt;/p&gt; 
&lt;p&gt;&lt;/p&gt;
&lt;div class="hs-cta-embed hs-cta-simple-placeholder hs-cta-embed-200447400273" style="max-width:100%; max-height:100%; width:200px;height:50px"&gt; 
 &lt;a href="https://blog.detechtion.ai/hs/cta/wi/redirect?encryptedPayload=AVxigLKPTmx6RaBVRepwHeNCWMiQ0wdmxi7BSVzIWCR4077xLwvCvCbxbEG5GMbjnQEpcwfzcboyiBomVB39sSJUggpkytB1F4iWBC1PoLykRCqRViWpSVLxSe7nqtC0hj7L5pEu%2BBfljCNxHbeMMIp1%2Bt4QfZLy4E2MRnCt%2FKbaQu2UqdeNYsoBi4tTQPaHrPEYjsMSh660GBfeb2pF3EmDlQoC8ULmO4HgD1EYboSImZKBllyWwXIkV4ZsxK3D4nZpzv1uMeXTGUKqC49SFAvN%2FOb3AaYWsQdIVSS5ieBOr5S%2FET2qOm7SsGiZ3BP0xOXmMGmNYO6X6Q%3D%3D&amp;amp;webInteractiveContentId=200447400273&amp;amp;portalId=4941541"&gt; &lt;img alt="VIEW CASE STUDY" src="https://no-cache.hubspot.com/cta/default/4941541/interactive-200447400273.png" style="height: 100%; width: 100%; object-fit: fill"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;/p&gt;  
&lt;img src="https://track.hubspot.com/__ptq.gif?a=4941541&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fblog.detechtion.ai%2Fen%2Fcases-whitepapers%2Fopex-reduction&amp;amp;bu=https%253A%252F%252Fblog.detechtion.ai%252Fen%252Fcases-whitepapers&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Case Study</category>
      <pubDate>Thu, 31 Oct 2024 19:46:29 GMT</pubDate>
      <author>zbennett@Detechtion.com (Zachary Bennett)</author>
      <guid>https://blog.detechtion.ai/en/cases-whitepapers/opex-reduction</guid>
      <dc:date>2024-10-31T19:46:29Z</dc:date>
    </item>
    <item>
      <title>Achieving $100K in Maintenance Savings by Preventing Compressor Failures with Enalysis</title>
      <link>https://blog.detechtion.ai/en/cases-whitepapers/screw-compressor-monitoring</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://blog.detechtion.ai/en/cases-whitepapers/screw-compressor-monitoring" title="" class="hs-featured-image-link"&gt; &lt;img src="https://blog.detechtion.ai/hubfs/Enalysis-TopBanner.jpg" alt="Achieving $100K in Maintenance Savings by Preventing Compressor Failures with Enalysis" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span style="font-weight: bold;"&gt;In this case study, Detechtion Technologies analyzed operating conditions and identified impacts of over-compression caused by fluctuating volumes and pressures to protect and optimize a screw compressor fleet while maximizing reliability.&lt;/span&gt;&lt;br&gt;&lt;a href="https://www.linkedin.com/in/corey-scott-61273927/" title="null" style="text-decoration: underline;"&gt;&lt;/a&gt;&lt;/p&gt; 
&lt;p&gt;&lt;/p&gt;
&lt;div class="hs-cta-embed hs-cta-simple-placeholder hs-cta-embed-200476305049" style="max-width:100%; max-height:100%; width:200px;height:50px"&gt; 
 &lt;a href="https://blog.detechtion.ai/hs/cta/wi/redirect?encryptedPayload=AVxigLJKf7krE9eRxlwR5zOQoa%2BsOOP9qDDn3YFyE59SuV%2B86T7fNOeT7cebFMresWs0q1Uk00d7fF%2BNxppxGuq9suVKrZtWFKTAa0in8APlQhYJnAuKYYt0r0DpaDV1oiRNpr3B3Uzvb%2Fdr2OzcpXFbsLLQ%2BFBjLCi90%2B%2BdC%2FAbmY2inmn6zao3yFZdhI3%2BjPL%2F8Ahknd3QBiCg3HS81A6F%2FSsRTvWzHRJAvib1tlMNUziJRfBCdtfRrRGpFnznqyfAAf30XOjBdMyKviUSLIPvil8NBVlvs4AX1H3KYvmtM16%2F0hICkFhY%2Bf54OMr7qP%2F%2FK0Ulkqw9i9G%2ByMWDmbeO3RunavygEvjVIOKcLx6EOGVOrhnkjOKd&amp;amp;webInteractiveContentId=200476305049&amp;amp;portalId=4941541"&gt; &lt;img alt="VIEW CASE STUDY" src="https://no-cache.hubspot.com/cta/default/4941541/interactive-200476305049.png" style="height: 100%; width: 100%; object-fit: fill"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://blog.detechtion.ai/en/cases-whitepapers/screw-compressor-monitoring" title="" class="hs-featured-image-link"&gt; &lt;img src="https://blog.detechtion.ai/hubfs/Enalysis-TopBanner.jpg" alt="Achieving $100K in Maintenance Savings by Preventing Compressor Failures with Enalysis" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span style="font-weight: bold;"&gt;In this case study, Detechtion Technologies analyzed operating conditions and identified impacts of over-compression caused by fluctuating volumes and pressures to protect and optimize a screw compressor fleet while maximizing reliability.&lt;/span&gt;&lt;br&gt;&lt;a href="https://www.linkedin.com/in/corey-scott-61273927/" title="null" style="text-decoration: underline;"&gt;&lt;/a&gt;&lt;/p&gt; 
&lt;p&gt;&lt;/p&gt;
&lt;div class="hs-cta-embed hs-cta-simple-placeholder hs-cta-embed-200476305049" style="max-width:100%; max-height:100%; width:200px;height:50px"&gt; 
 &lt;a href="https://blog.detechtion.ai/hs/cta/wi/redirect?encryptedPayload=AVxigLJKf7krE9eRxlwR5zOQoa%2BsOOP9qDDn3YFyE59SuV%2B86T7fNOeT7cebFMresWs0q1Uk00d7fF%2BNxppxGuq9suVKrZtWFKTAa0in8APlQhYJnAuKYYt0r0DpaDV1oiRNpr3B3Uzvb%2Fdr2OzcpXFbsLLQ%2BFBjLCi90%2B%2BdC%2FAbmY2inmn6zao3yFZdhI3%2BjPL%2F8Ahknd3QBiCg3HS81A6F%2FSsRTvWzHRJAvib1tlMNUziJRfBCdtfRrRGpFnznqyfAAf30XOjBdMyKviUSLIPvil8NBVlvs4AX1H3KYvmtM16%2F0hICkFhY%2Bf54OMr7qP%2F%2FK0Ulkqw9i9G%2ByMWDmbeO3RunavygEvjVIOKcLx6EOGVOrhnkjOKd&amp;amp;webInteractiveContentId=200476305049&amp;amp;portalId=4941541"&gt; &lt;img alt="VIEW CASE STUDY" src="https://no-cache.hubspot.com/cta/default/4941541/interactive-200476305049.png" style="height: 100%; width: 100%; object-fit: fill"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;/p&gt;  
&lt;img src="https://track.hubspot.com/__ptq.gif?a=4941541&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fblog.detechtion.ai%2Fen%2Fcases-whitepapers%2Fscrew-compressor-monitoring&amp;amp;bu=https%253A%252F%252Fblog.detechtion.ai%252Fen%252Fcases-whitepapers&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Case Study</category>
      <pubDate>Thu, 31 Oct 2024 19:46:03 GMT</pubDate>
      <author>zbennett@Detechtion.com (Zachary Bennett)</author>
      <guid>https://blog.detechtion.ai/en/cases-whitepapers/screw-compressor-monitoring</guid>
      <dc:date>2024-10-31T19:46:03Z</dc:date>
    </item>
    <item>
      <title>From 84% to 91.5% Utilization: Optimizing Fleet Efficiency for Higher Throughput</title>
      <link>https://blog.detechtion.ai/en/cases-whitepapers/total-fleet-performance</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://blog.detechtion.ai/en/cases-whitepapers/total-fleet-performance" title="" class="hs-featured-image-link"&gt; &lt;img src="https://blog.detechtion.ai/hubfs/Field%20Visit%20-%20EAM%20and%20Truck-1.jpg" alt="From 84% to 91.5% Utilization: Optimizing Fleet Efficiency for Higher Throughput" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span&gt;&lt;span style="font-weight: bold;"&gt;In natural gas gathering applications, minimizing suction pressure across compressor fleets is essential for maintaining high production levels, particularly in fluctuating and declining fields.&lt;/span&gt; Many operators face challenges in achieving optimal suction pressures and compressor utilization across their entire fleet, often comprising hundreds of units with varying capacities and requirements.&lt;/span&gt;&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://blog.detechtion.ai/en/cases-whitepapers/total-fleet-performance" title="" class="hs-featured-image-link"&gt; &lt;img src="https://blog.detechtion.ai/hubfs/Field%20Visit%20-%20EAM%20and%20Truck-1.jpg" alt="From 84% to 91.5% Utilization: Optimizing Fleet Efficiency for Higher Throughput" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span&gt;&lt;span style="font-weight: bold;"&gt;In natural gas gathering applications, minimizing suction pressure across compressor fleets is essential for maintaining high production levels, particularly in fluctuating and declining fields.&lt;/span&gt; Many operators face challenges in achieving optimal suction pressures and compressor utilization across their entire fleet, often comprising hundreds of units with varying capacities and requirements.&lt;/span&gt;&lt;/p&gt;  
&lt;img src="https://track.hubspot.com/__ptq.gif?a=4941541&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fblog.detechtion.ai%2Fen%2Fcases-whitepapers%2Ftotal-fleet-performance&amp;amp;bu=https%253A%252F%252Fblog.detechtion.ai%252Fen%252Fcases-whitepapers&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Case Study</category>
      <pubDate>Thu, 31 Oct 2024 19:44:47 GMT</pubDate>
      <author>zbennett@Detechtion.com (Zachary Bennett)</author>
      <guid>https://blog.detechtion.ai/en/cases-whitepapers/total-fleet-performance</guid>
      <dc:date>2024-10-31T19:44:47Z</dc:date>
    </item>
    <item>
      <title>Enalysis Reduces Downtime by 4% for Offshore Producer, Resulting in $10M Increase in Revenue</title>
      <link>https://blog.detechtion.ai/en/cases-whitepapers/reduced-downtime-in-offshore-applications</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://blog.detechtion.ai/en/cases-whitepapers/reduced-downtime-in-offshore-applications" title="" class="hs-featured-image-link"&gt; &lt;img src="https://blog.detechtion.ai/hubfs/offshore_blog.png" alt="Enalysis Reduces Downtime by 4% for Offshore Producer, Resulting in $10M Increase in Revenue" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span style="font-weight: bold;"&gt;In this case study, Detechtion Technologies implemented its Enalysis software to create reliability-centered maintenance practices for its client to improve preventative maintenance, resulting in increased revenues and reliability.&amp;nbsp;&lt;/span&gt;&lt;/p&gt; 
&lt;p&gt;&lt;span style="font-weight: bold;"&gt;&lt;/span&gt;&lt;/p&gt;
&lt;div class="hs-cta-embed hs-cta-simple-placeholder hs-cta-embed-200490697086" style="max-width:100%; max-height:100%; width:200px;height:50px"&gt; 
 &lt;a href="https://blog.detechtion.ai/hs/cta/wi/redirect?encryptedPayload=AVxigLJ6zenIX6lrb0nHvSLEvJwpEiH0SofJYjeZszfcnZEMGFdlb2LO%2BuFl2jqvQGgaQQ%2F47E%2BUG%2FbAUkJ584N2UNYlorN2wpGYUNdwlBoho%2BYyOhtiBXge897UQOwVRkj7ModcfjKc5%2BNJ%2BBC3%2Fl0wTsncJNzv4JIXreFcjARxeeCKYPV50HC4ABLih0mX8sG9iRhscHl3Ixitixcg444758MdWiWhFw2BOmlpuDx3%2Bdxus8i1oSp29bZNsbRelX1oSPSAXrIxgv6BhRZ1A1yu53%2Fd6QWAFMOo5GLGd4jZeSUmZ%2BDW%2BBQOjCkPnKiXxFzysIbCgp5w8%2BZDQoQWXqXWepOT8fJKBynV&amp;amp;webInteractiveContentId=200490697086&amp;amp;portalId=4941541"&gt; &lt;img alt="VIEW CASE STUDY" src="https://no-cache.hubspot.com/cta/default/4941541/interactive-200490697086.png" style="height: 100%; width: 100%; object-fit: fill"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://blog.detechtion.ai/en/cases-whitepapers/reduced-downtime-in-offshore-applications" title="" class="hs-featured-image-link"&gt; &lt;img src="https://blog.detechtion.ai/hubfs/offshore_blog.png" alt="Enalysis Reduces Downtime by 4% for Offshore Producer, Resulting in $10M Increase in Revenue" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span style="font-weight: bold;"&gt;In this case study, Detechtion Technologies implemented its Enalysis software to create reliability-centered maintenance practices for its client to improve preventative maintenance, resulting in increased revenues and reliability.&amp;nbsp;&lt;/span&gt;&lt;/p&gt; 
&lt;p&gt;&lt;span style="font-weight: bold;"&gt;&lt;/span&gt;&lt;/p&gt;
&lt;div class="hs-cta-embed hs-cta-simple-placeholder hs-cta-embed-200490697086" style="max-width:100%; max-height:100%; width:200px;height:50px"&gt; 
 &lt;a href="https://blog.detechtion.ai/hs/cta/wi/redirect?encryptedPayload=AVxigLJ6zenIX6lrb0nHvSLEvJwpEiH0SofJYjeZszfcnZEMGFdlb2LO%2BuFl2jqvQGgaQQ%2F47E%2BUG%2FbAUkJ584N2UNYlorN2wpGYUNdwlBoho%2BYyOhtiBXge897UQOwVRkj7ModcfjKc5%2BNJ%2BBC3%2Fl0wTsncJNzv4JIXreFcjARxeeCKYPV50HC4ABLih0mX8sG9iRhscHl3Ixitixcg444758MdWiWhFw2BOmlpuDx3%2Bdxus8i1oSp29bZNsbRelX1oSPSAXrIxgv6BhRZ1A1yu53%2Fd6QWAFMOo5GLGd4jZeSUmZ%2BDW%2BBQOjCkPnKiXxFzysIbCgp5w8%2BZDQoQWXqXWepOT8fJKBynV&amp;amp;webInteractiveContentId=200490697086&amp;amp;portalId=4941541"&gt; &lt;img alt="VIEW CASE STUDY" src="https://no-cache.hubspot.com/cta/default/4941541/interactive-200490697086.png" style="height: 100%; width: 100%; object-fit: fill"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;/p&gt;  
&lt;img src="https://track.hubspot.com/__ptq.gif?a=4941541&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fblog.detechtion.ai%2Fen%2Fcases-whitepapers%2Freduced-downtime-in-offshore-applications&amp;amp;bu=https%253A%252F%252Fblog.detechtion.ai%252Fen%252Fcases-whitepapers&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Case Study</category>
      <pubDate>Thu, 31 Oct 2024 19:43:53 GMT</pubDate>
      <author>zbennett@Detechtion.com (Zachary Bennett)</author>
      <guid>https://blog.detechtion.ai/en/cases-whitepapers/reduced-downtime-in-offshore-applications</guid>
      <dc:date>2024-10-31T19:43:53Z</dc:date>
    </item>
    <item>
      <title>Fieldlink Boosts Operational ROI by Ensuring Complete and Correct Issue Management</title>
      <link>https://blog.detechtion.ai/en/cases-whitepapers/tracking-and-closing-issues-identified-in-the-field</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://blog.detechtion.ai/en/cases-whitepapers/tracking-and-closing-issues-identified-in-the-field" title="" class="hs-featured-image-link"&gt; &lt;img src="https://blog.detechtion.ai/hubfs/CTAImage-FieldlinkServiceFingertips.jpg" alt="Fieldlink Boosts Operational ROI by Ensuring Complete and Correct Issue Management" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span style="font-weight: bold;"&gt;In this case study, Detechtion Technologies implemented the Fieldlink mobile platform to improve issue resolution in the field even when third party vendors are involved.&lt;/span&gt;&lt;/p&gt; 
&lt;p&gt;&amp;nbsp;&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://blog.detechtion.ai/en/cases-whitepapers/tracking-and-closing-issues-identified-in-the-field" title="" class="hs-featured-image-link"&gt; &lt;img src="https://blog.detechtion.ai/hubfs/CTAImage-FieldlinkServiceFingertips.jpg" alt="Fieldlink Boosts Operational ROI by Ensuring Complete and Correct Issue Management" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span style="font-weight: bold;"&gt;In this case study, Detechtion Technologies implemented the Fieldlink mobile platform to improve issue resolution in the field even when third party vendors are involved.&lt;/span&gt;&lt;/p&gt; 
&lt;p&gt;&amp;nbsp;&lt;/p&gt;  
&lt;img src="https://track.hubspot.com/__ptq.gif?a=4941541&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fblog.detechtion.ai%2Fen%2Fcases-whitepapers%2Ftracking-and-closing-issues-identified-in-the-field&amp;amp;bu=https%253A%252F%252Fblog.detechtion.ai%252Fen%252Fcases-whitepapers&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Case Study</category>
      <pubDate>Thu, 31 Oct 2024 19:43:18 GMT</pubDate>
      <guid>https://blog.detechtion.ai/en/cases-whitepapers/tracking-and-closing-issues-identified-in-the-field</guid>
      <dc:date>2024-10-31T19:43:18Z</dc:date>
      <dc:creator>Admin</dc:creator>
    </item>
    <item>
      <title>$5M Saved, Fewer Vendor Visits, and Faster Invoicing Through Efficient Chemical Management</title>
      <link>https://blog.detechtion.ai/en/cases-whitepapers/third-party-chemical-management</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://blog.detechtion.ai/en/cases-whitepapers/third-party-chemical-management" title="" class="hs-featured-image-link"&gt; &lt;img src="https://blog.detechtion.ai/hubfs/966329%20-%20Detechtion%20Chemical%20Management%20Graphics%202_020421-1.png" alt="$5M Saved, Fewer Vendor Visits, and Faster Invoicing Through Efficient Chemical Management" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span style="font-weight: bold;"&gt;In this case study, Detechtion Technologies implemented the Fieldlink mobile platform to provide digitalized and synchronous chemical management processes to help reduce time to invoice and increase visibility and vendor management.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://blog.detechtion.ai/en/cases-whitepapers/third-party-chemical-management" title="" class="hs-featured-image-link"&gt; &lt;img src="https://blog.detechtion.ai/hubfs/966329%20-%20Detechtion%20Chemical%20Management%20Graphics%202_020421-1.png" alt="$5M Saved, Fewer Vendor Visits, and Faster Invoicing Through Efficient Chemical Management" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span style="font-weight: bold;"&gt;In this case study, Detechtion Technologies implemented the Fieldlink mobile platform to provide digitalized and synchronous chemical management processes to help reduce time to invoice and increase visibility and vendor management.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;  
&lt;img src="https://track.hubspot.com/__ptq.gif?a=4941541&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fblog.detechtion.ai%2Fen%2Fcases-whitepapers%2Fthird-party-chemical-management&amp;amp;bu=https%253A%252F%252Fblog.detechtion.ai%252Fen%252Fcases-whitepapers&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Case Study</category>
      <pubDate>Thu, 31 Oct 2024 19:42:52 GMT</pubDate>
      <guid>https://blog.detechtion.ai/en/cases-whitepapers/third-party-chemical-management</guid>
      <dc:date>2024-10-31T19:42:52Z</dc:date>
      <dc:creator>Admin</dc:creator>
    </item>
    <item>
      <title>$12k OpEx savings using Smart Shutdown Strategy, Booster/Sales Optimization</title>
      <link>https://blog.detechtion.ai/en/cases-whitepapers/tandem-operation-of-compressors</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://blog.detechtion.ai/en/cases-whitepapers/tandem-operation-of-compressors" title="" class="hs-featured-image-link"&gt; &lt;img src="https://blog.detechtion.ai/hubfs/Detechtion_September_2018_Theme/Images/COMPRESSOR_grey.jpg" alt="$12k OpEx savings using Smart Shutdown Strategy, Booster/Sales Optimization" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span style="font-weight: bold;"&gt;In this case study, Detechtion Technologies optimized and consolidated booster/sales fleet setups for fuel savings and reduction of carbon dioxide emissions.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://blog.detechtion.ai/en/cases-whitepapers/tandem-operation-of-compressors" title="" class="hs-featured-image-link"&gt; &lt;img src="https://blog.detechtion.ai/hubfs/Detechtion_September_2018_Theme/Images/COMPRESSOR_grey.jpg" alt="$12k OpEx savings using Smart Shutdown Strategy, Booster/Sales Optimization" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span style="font-weight: bold;"&gt;In this case study, Detechtion Technologies optimized and consolidated booster/sales fleet setups for fuel savings and reduction of carbon dioxide emissions.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;  
&lt;img src="https://track.hubspot.com/__ptq.gif?a=4941541&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fblog.detechtion.ai%2Fen%2Fcases-whitepapers%2Ftandem-operation-of-compressors&amp;amp;bu=https%253A%252F%252Fblog.detechtion.ai%252Fen%252Fcases-whitepapers&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Case Study</category>
      <pubDate>Thu, 31 Oct 2024 19:42:23 GMT</pubDate>
      <guid>https://blog.detechtion.ai/en/cases-whitepapers/tandem-operation-of-compressors</guid>
      <dc:date>2024-10-31T19:42:23Z</dc:date>
      <dc:creator>Admin</dc:creator>
    </item>
    <item>
      <title>Detechtion Provides Fleetwide Risk Assessment, Creating an Efficient Inventory Program</title>
      <link>https://blog.detechtion.ai/en/cases-whitepapers/specific-engine-model-revenue-at-risk-assessment</link>
      <description>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://blog.detechtion.ai/en/cases-whitepapers/specific-engine-model-revenue-at-risk-assessment" title="" class="hs-featured-image-link"&gt; &lt;img src="https://blog.detechtion.ai/hubfs/110Engine.png" alt="Detechtion Provides Fleetwide Risk Assessment, Creating an Efficient Inventory Program" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span style="font-weight: bold;"&gt;In this case study, Detechtion Technologies assessed the failure risk of over 300 engines in the client's fleet to budget and set up for adequate parts inventory for its engines.&lt;/span&gt;&lt;/p&gt;</description>
      <content:encoded>&lt;div class="hs-featured-image-wrapper"&gt; 
 &lt;a href="https://blog.detechtion.ai/en/cases-whitepapers/specific-engine-model-revenue-at-risk-assessment" title="" class="hs-featured-image-link"&gt; &lt;img src="https://blog.detechtion.ai/hubfs/110Engine.png" alt="Detechtion Provides Fleetwide Risk Assessment, Creating an Efficient Inventory Program" class="hs-featured-image" style="width:auto !important; max-width:50%; float:left; margin:0 15px 15px 0;"&gt; &lt;/a&gt; 
&lt;/div&gt; 
&lt;p&gt;&lt;span style="font-weight: bold;"&gt;In this case study, Detechtion Technologies assessed the failure risk of over 300 engines in the client's fleet to budget and set up for adequate parts inventory for its engines.&lt;/span&gt;&lt;/p&gt;  
&lt;img src="https://track.hubspot.com/__ptq.gif?a=4941541&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fblog.detechtion.ai%2Fen%2Fcases-whitepapers%2Fspecific-engine-model-revenue-at-risk-assessment&amp;amp;bu=https%253A%252F%252Fblog.detechtion.ai%252Fen%252Fcases-whitepapers&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Case Study</category>
      <pubDate>Thu, 31 Oct 2024 19:41:58 GMT</pubDate>
      <guid>https://blog.detechtion.ai/en/cases-whitepapers/specific-engine-model-revenue-at-risk-assessment</guid>
      <dc:date>2024-10-31T19:41:58Z</dc:date>
      <dc:creator>Admin</dc:creator>
    </item>
    <item>
      <title>Detechtion Saves Australia's Premier Natural Gas Supplier $8M Annually Through Vi Optimization</title>
      <link>https://blog.detechtion.ai/en/cases-whitepapers/rotary-screw-vi-change-for-fuel-savings</link>
      <description>&lt;p&gt;&lt;span style="font-weight: bold;"&gt;In this case study, Detechtion Technologies recommended Vi settings for the client's nodal stations which made a significant improvement on fuel gas savings and electric consumption of more than $400,000 in its first year of adjustment.&lt;/span&gt;&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;span style="font-weight: bold;"&gt;In this case study, Detechtion Technologies recommended Vi settings for the client's nodal stations which made a significant improvement on fuel gas savings and electric consumption of more than $400,000 in its first year of adjustment.&lt;/span&gt;&lt;/p&gt;  
&lt;img src="https://track.hubspot.com/__ptq.gif?a=4941541&amp;amp;k=14&amp;amp;r=https%3A%2F%2Fblog.detechtion.ai%2Fen%2Fcases-whitepapers%2Frotary-screw-vi-change-for-fuel-savings&amp;amp;bu=https%253A%252F%252Fblog.detechtion.ai%252Fen%252Fcases-whitepapers&amp;amp;bvt=rss" alt="" width="1" height="1" style="min-height:1px!important;width:1px!important;border-width:0!important;margin-top:0!important;margin-bottom:0!important;margin-right:0!important;margin-left:0!important;padding-top:0!important;padding-bottom:0!important;padding-right:0!important;padding-left:0!important; "&gt;</content:encoded>
      <category>Case Study</category>
      <pubDate>Thu, 31 Oct 2024 19:41:32 GMT</pubDate>
      <guid>https://blog.detechtion.ai/en/cases-whitepapers/rotary-screw-vi-change-for-fuel-savings</guid>
      <dc:date>2024-10-31T19:41:32Z</dc:date>
      <dc:creator>Admin</dc:creator>
    </item>
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