{"id":8378,"date":"2026-06-30T10:23:01","date_gmt":"2026-06-30T08:23:01","guid":{"rendered":"https:\/\/gemba.nl\/ai-in-oil-and-gas-more-uptime-starts-with-fewer-data-silos\/"},"modified":"2026-06-30T10:35:11","modified_gmt":"2026-06-30T08:35:11","slug":"knowledge-center-blogs-ai-oil-gas-uptime-data-silos","status":"publish","type":"post","link":"https:\/\/gemba.nl\/en\/knowledge-center\/blogs\/ai-oil-gas-uptime-data-silos\/","title":{"rendered":"AI in oil and gas: more uptime starts with fewer data silos"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; custom_padding_last_edited=&#8221;on|phone&#8221; admin_label=&#8221;Graph Chart Section&#8221; module_class=&#8221;hero_sec&#8221; _builder_version=&#8221;4.27.4&#8243; background_enable_color=&#8221;off&#8221; background_enable_image=&#8221;off&#8221; parallax=&#8221;on&#8221; module_alignment=&#8221;center&#8221; custom_margin=&#8221;|||&#8221; custom_padding=&#8221;160px||0px||false|false&#8221; custom_padding_tablet=&#8221;250px||0px||false|false&#8221; custom_padding_phone=&#8221;130px||||false|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row custom_padding_last_edited=&#8221;on|desktop&#8221; _builder_version=&#8221;4.27.4&#8243; max_width=&#8221;778px&#8221; custom_margin=&#8221;||20px||false|false&#8221; custom_padding=&#8221;||||false|true&#8221; custom_padding_tablet=&#8221;|0px||0px|false|true&#8221; custom_padding_phone=&#8221;|0px|0px|0px|false|true&#8221; animation_style=&#8221;flip&#8221; hover_transition_speed_curve=&#8221;ease-in&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_code _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; module_alignment=&#8221;left&#8221; global_colors_info=&#8221;{}&#8221;]\n<style>\n.divi-custom-meta-container {\n    display:flex;\n    flex-direction:column;\n    align-items:center;\n    gap:20px;\n    width:100%;\n}\n\n.divi-meta-breadcrumb {\n    font-size:14px;\n    color:#fff;\n    width:100%;\n}\n.divi-meta-breadcrumb a {\n    color:#fff;\n    text-decoration:none;\n}\n.divi-meta-breadcrumb .separator {\n    margin:0 5px;\n}\n\n.divi-meta-title {\n    color:#fff;\n    font-size:18px;\n    font-weight:300;\n}\n\n.divi-meta-date {\n    color:#fff;\n    font-size:14px;\n    opacity:0.9;\n}\n\n.divi-meta-icons {\n    display:flex;\n    gap:25px;\n}\n\n.divi-meta-icon-link svg {\n    width:28px;\n    height:28px;\n    fill:#fff;\n}\n\n.divi-meta-cats {\n    display:flex;\n    flex-wrap:wrap;\n    gap:15px;\n}\n.divi-meta-cats.top_cat {\n    width:100%;\n    justify-content:flex-start;\n}\n\n.divi-cat-btn {\n    background:rgba(204,221,231,0.2);\n    color:#fff;\n    padding:4px 10px;\n    font-size:14px;\n    text-decoration:none;\n}\n<\/style>\n\n<div class=\"divi-custom-meta-container\">\n\n        <div class=\"divi-meta-breadcrumb\">\n                    <a href=\"\/kennisbank\">\n                KENNISBANK            <\/a>\n            <span class=\"separator\">&gt;<\/span>\n        \n                    <a href=\"\/blog\">\n                BLOGS            <\/a>\n            <span class=\"separator\">&gt;<\/span>\n        \n        <span class=\"current-post\">AI in oil and gas: more uptime starts with fewer data silos<\/span>\n    <\/div>\n    \n    \n    \n    \n    \n<\/div>\n\n[\/et_pb_code][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=&#8221;1_4,3_4&#8243; custom_padding_last_edited=&#8221;on|desktop&#8221; _builder_version=&#8221;4.27.4&#8243; max_width=&#8221;778px&#8221; custom_padding=&#8221;0px||||false|true&#8221; custom_padding_tablet=&#8221;|0px||0px|false|true&#8221; custom_padding_phone=&#8221;|0px||0px|false|true&#8221; animation_style=&#8221;flip&#8221; hover_transition_speed_curve=&#8221;ease-in&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;4.27.4&#8243; custom_padding=&#8221;50px||0px||false|false&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_image src=&#8221;https:\/\/gemba.nl\/wp-content\/uploads\/2026\/06\/AI-in-olie-en-gas-voor-meer-uptime.webp&#8221; alt=&#8221;AI in oil and gas: more uptime through fewer data silos&#8221; title_text=&#8221;AI in oil and gas: more uptime through fewer data silos&#8221; align=&#8221;center&#8221; align_tablet=&#8221;left&#8221; align_phone=&#8221;left&#8221; align_last_edited=&#8221;on|phone&#8221; module_class=&#8221;blog_img&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; width=&#8221;150%&#8221; max_width=&#8221;100%&#8221; module_alignment=&#8221;right&#8221; height=&#8221;150px&#8221; border_radii=&#8221;on|50%|50%|50%|50%&#8221; border_style_all=&#8221;none&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][\/et_pb_column][et_pb_column type=&#8221;3_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_code _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; module_alignment=&#8221;left&#8221; custom_margin=&#8221;40px||||false|false&#8221; global_colors_info=&#8221;{}&#8221;]\n<style>\n.divi-custom-meta-container {\n    display:flex;\n    flex-direction:column;\n    align-items:center;\n    gap:20px;\n    width:100%;\n}\n\n.divi-meta-breadcrumb {\n    font-size:14px;\n    color:#fff;\n    width:100%;\n}\n.divi-meta-breadcrumb a {\n    color:#fff;\n    text-decoration:none;\n}\n.divi-meta-breadcrumb .separator {\n    margin:0 5px;\n}\n\n.divi-meta-title {\n    color:#fff;\n    font-size:18px;\n    font-weight:300;\n}\n\n.divi-meta-date {\n    color:#fff;\n    font-size:14px;\n    opacity:0.9;\n}\n\n.divi-meta-icons {\n    display:flex;\n    gap:25px;\n}\n\n.divi-meta-icon-link svg {\n    width:28px;\n    height:28px;\n    fill:#fff;\n}\n\n.divi-meta-cats {\n    display:flex;\n    flex-wrap:wrap;\n    gap:15px;\n}\n.divi-meta-cats.top_cat {\n    width:100%;\n    justify-content:flex-start;\n}\n\n.divi-cat-btn {\n    background:rgba(204,221,231,0.2);\n    color:#fff;\n    padding:4px 10px;\n    font-size:14px;\n    text-decoration:none;\n}\n<\/style>\n\n<div class=\"divi-custom-meta-container\">\n\n    \n    \n    \n    \n        <div class=\"divi-meta-cats top_cat\">\n                    <a href=\"https:\/\/gemba.nl\/en\/category\/ibm-maximo\/\" class=\"divi-cat-btn\">\n                IBM Maximo            <\/a>\n            <\/div>\n    \n<\/div>\n\n[\/et_pb_code][et_pb_text _builder_version=&#8221;4.27.6&#8243; header_font=&#8221;|700||on|||||&#8221; header_text_color=&#8221;#FFFFFF&#8221; header_font_size=&#8221;60px&#8221; header_line_height=&#8221;60px&#8221; header_2_font=&#8221;Titillium Web|600|||||||&#8221; header_2_font_size=&#8221;36px&#8221; header_2_letter_spacing=&#8221;2px&#8221; header_2_line_height=&#8221;1.3em&#8221; header_font_tablet=&#8221;|700||on|||||&#8221; header_font_phone=&#8221;|700||on|||||&#8221; header_font_last_edited=&#8221;on|desktop&#8221; header_text_color_tablet=&#8221;#FFFFFF&#8221; header_text_color_phone=&#8221;#FFFFFF&#8221; header_text_color_last_edited=&#8221;on|phone&#8221; header_2_font_size_tablet=&#8221;&#8221; header_2_font_size_phone=&#8221;28px&#8221; header_2_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h1>AI in oil and gas: more uptime through fewer data silos<\/h1>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=&#8221;on|desktop&#8221; _builder_version=&#8221;4.27.4&#8243; custom_margin=&#8221;-9px|auto||auto||&#8221; custom_padding=&#8221;|130px||130px|false|true&#8221; custom_padding_tablet=&#8221;|0px||0px|false|true&#8221; custom_padding_phone=&#8221;|0px||0px|false|true&#8221; animation_style=&#8221;flip&#8221; hover_transition_speed_curve=&#8221;ease-in&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;4.27.6&#8243; text_font_size=&#8221;20px&#8221; text_line_height=&#8221;1.6em&#8221; text_orientation=&#8221;center&#8221; max_width=&#8221;700px&#8221; module_alignment=&#8221;center&#8221; custom_padding=&#8221;||0px|||&#8221; animation_style=&#8221;slide&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><strong>AI is delivering measurable results in oil and gas: 27% more production uptime, 26% better asset utilisation, and 29% fewer operational incidents. Striking figures from an IBM research paper on the sector \u2013 and directly relevant to the maintenance, integrity, and reliability of your assets. The biggest opportunity for AI in <a href=\"https:\/\/gemba.nl\/en\/sectors\/\" target=\"_blank\" rel=\"noopener\">asset management within oil and gas<\/a> lies in connecting what you already have: data on your assets, inspections, incidents, emissions, and work processes.    <\/strong><\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.4&#8243; text_font_size=&#8221;20px&#8221; text_line_height=&#8221;1.6em&#8221; text_orientation=&#8221;center&#8221; max_width=&#8221;700px&#8221; module_alignment=&#8221;center&#8221; animation_style=&#8221;slide&#8221; global_colors_info=&#8221;{}&#8221;]\n<style>\n.divi-custom-meta-container {\n    display:flex;\n    flex-direction:column;\n    align-items:center;\n    gap:20px;\n    width:100%;\n}\n\n.divi-meta-breadcrumb {\n    font-size:14px;\n    color:#fff;\n    width:100%;\n}\n.divi-meta-breadcrumb a {\n    color:#fff;\n    text-decoration:none;\n}\n.divi-meta-breadcrumb .separator {\n    margin:0 5px;\n}\n\n.divi-meta-title {\n    color:#fff;\n    font-size:18px;\n    font-weight:300;\n}\n\n.divi-meta-date {\n    color:#fff;\n    font-size:14px;\n    opacity:0.9;\n}\n\n.divi-meta-icons {\n    display:flex;\n    gap:25px;\n}\n\n.divi-meta-icon-link svg {\n    width:28px;\n    height:28px;\n    fill:#fff;\n}\n\n.divi-meta-cats {\n    display:flex;\n    flex-wrap:wrap;\n    gap:15px;\n}\n.divi-meta-cats.top_cat {\n    width:100%;\n    justify-content:flex-start;\n}\n\n.divi-cat-btn {\n    background:rgba(204,221,231,0.2);\n    color:#fff;\n    padding:4px 10px;\n    font-size:14px;\n    text-decoration:none;\n}\n<\/style>\n\n<div class=\"divi-custom-meta-container\">\n\n    \n    \n            <div class=\"divi-meta-date\">30 June 2026 \u2022 16 min read<\/div>\n    \n    \n    \n<\/div>\n\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row use_custom_gutter=&#8221;on&#8221; gutter_width=&#8221;1&#8243; make_equal=&#8221;on&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; module_alignment=&#8221;center&#8221; custom_padding=&#8221;9px||13px||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;0px|0px|0px|0px|false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_button button_url=&#8221;#bg_2&#8243; button_text=&#8221;Read more&#8221; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;4df748cc-4dde-49c6-9d65-c7447905ee5a&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_button][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;27px|||||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_icon font_icon=&#8221;&#x37;||divi||400&#8243; icon_color=&#8221;#FFFFFF&#8221; icon_width=&#8221;30px&#8221; url=&#8221;#bg_2&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;28px||||false|false&#8221; custom_margin_tablet=&#8221;100px||||false|false&#8221; custom_margin_phone=&#8221;10px||||false|false&#8221; custom_margin_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_icon][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;Waar asset&#8221; module_id=&#8221;bg_2&#8243; module_class=&#8221;bg_color_2 blog_page_2&#8243; _builder_version=&#8221;4.27.4&#8243; background_enable_color=&#8221;off&#8221; custom_margin=&#8221;|||&#8221; custom_padding=&#8221;|||&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row use_custom_gutter=&#8221;on&#8221; gutter_width=&#8221;1&#8243; _builder_version=&#8221;4.27.4&#8243; module_alignment=&#8221;center&#8221; custom_margin=&#8221;|7px||603px||&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;|||&#8221; global_colors_info=&#8221;{}&#8221; custom_padding__hover=&#8221;|||&#8221;][et_pb_text _builder_version=&#8221;4.27.6&#8243; header_2_font=&#8221;Titillium Web|600|||||||&#8221; header_2_font_size=&#8221;36px&#8221; header_2_letter_spacing=&#8221;2px&#8221; header_2_line_height=&#8221;1.3em&#8221; custom_margin=&#8221;||12px|||&#8221; custom_padding=&#8221;50px||||false|false&#8221; custom_padding_tablet=&#8221;50px||||false|false&#8221; custom_padding_phone=&#8221;50px||||false|false&#8221; custom_padding_last_edited=&#8221;on|desktop&#8221; animation_style=&#8221;flip&#8221; header_2_font_size_tablet=&#8221;&#8221; header_2_font_size_phone=&#8221;28px&#8221; header_2_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2><img decoding=\"async\" class=\"bullet\" src=\"https:\/\/gemba.nl\/wp-content\/uploads\/2025\/11\/Vector-5.png\"> AI results directly impact maintenance KPIs<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; text_font=&#8221;|300|||||||&#8221; text_line_height=&#8221;22px&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;left&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>The IBM research paper <a href=\"https:\/\/www.ibm.com\/downloads\/documents\/us-en\/12fc84a1f2d95593\" target=\"_blank\" rel=\"noopener\">Oil and gas in the AI era<\/a> shows that AI is gaining ground quickly in the oil and gas sector. Applications range from exploration and drilling to refining, pipeline monitoring, predictive maintenance, and emissions management. <\/p>\n<p>For maintenance, the operational results are particularly promising. Oil and gas companies report 27% better production uptime, thanks in part to AI-driven predictive maintenance on installations. There\u2019s also 26% better asset utilisation, 18% lower operational costs, and 18% higher employee productivity.  <\/p>\n<p>These are exactly the KPIs that maintenance organisations actively manage. AI helps by making better use of existing data, adding an extra layer to the knowledge already present in your maintenance history and operational processes. <\/p>\n<p>[\/et_pb_text][et_pb_image src=&#8221;https:\/\/gemba.nl\/wp-content\/uploads\/2026\/06\/AI-in-olie-en-gas-meer-uptime.webp&#8221; alt=&#8221;AI in oil and gas: more uptime through fewer data silos&#8221; title_text=&#8221;AI in oil and gas: more uptime through fewer data silos&#8221; url_new_window=&#8221;on&#8221; align=&#8221;center&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;100px||||false|false&#8221; custom_padding_tablet=&#8221;50px||||false|false&#8221; custom_padding_phone=&#8221;50px||||false|false&#8221; custom_padding_last_edited=&#8221;on|desktop&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;][\/et_pb_image][et_pb_text _builder_version=&#8221;4.27.6&#8243; header_2_font=&#8221;Titillium Web|600|||||||&#8221; header_2_font_size=&#8221;36px&#8221; header_2_letter_spacing=&#8221;2px&#8221; header_2_line_height=&#8221;1.3em&#8221; custom_margin=&#8221;||12px|||&#8221; custom_padding=&#8221;50px||||false|false&#8221; custom_padding_tablet=&#8221;50px||||false|false&#8221; custom_padding_phone=&#8221;50px||||false|false&#8221; custom_padding_last_edited=&#8221;on|desktop&#8221; animation_style=&#8221;flip&#8221; header_2_font_size_tablet=&#8221;&#8221; header_2_font_size_phone=&#8221;28px&#8221; header_2_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2><img decoding=\"async\" class=\"bullet\" src=\"https:\/\/gemba.nl\/wp-content\/uploads\/2025\/11\/Vector-5.png\"> Fewer data silos means more context<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; text_font=&#8221;|300|||||||&#8221; text_line_height=&#8221;22px&#8221; custom_padding=&#8221;||0px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;left&#8221; custom_css_free_form=&#8221;selector h3 {font-size: 20px !important;}&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>As an asset or maintenance manager in oil and gas, you usually have plenty of relevant data \u2013 on maintenance, incidents, emissions, and safety, for example. The value increases when you connect that information more effectively. <\/p>\n<p>For AI, context is crucial. A deviation in a measurement becomes far more meaningful when you can also take into account the maintenance history, outstanding work orders, inspection results, criticality, and compliance obligations. This creates a much more complete picture of the asset and the risks around it.  <\/p>\n<p>That\u2019s why the first step in the research paper\u2019s plan is: make use of existing functionality, break down silos, and build an organisation-wide approach. IBM also highlights data quality, integration of legacy systems, metadata, ownership, and access policies as essential conditions for scaling AI. <\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; header_2_font=&#8221;Titillium Web|600|||||||&#8221; header_2_font_size=&#8221;36px&#8221; header_2_letter_spacing=&#8221;2px&#8221; header_2_line_height=&#8221;1.3em&#8221; custom_margin=&#8221;||12px|||&#8221; custom_padding=&#8221;50px||||false|false&#8221; custom_padding_tablet=&#8221;50px||||false|false&#8221; custom_padding_phone=&#8221;50px||||false|false&#8221; custom_padding_last_edited=&#8221;on|desktop&#8221; animation_style=&#8221;flip&#8221; header_2_font_size_tablet=&#8221;&#8221; header_2_font_size_phone=&#8221;28px&#8221; header_2_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2><img decoding=\"async\" class=\"bullet\" src=\"https:\/\/gemba.nl\/wp-content\/uploads\/2025\/11\/Vector-5.png\"> One clear view of your assets<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; text_font=&#8221;|300|||||||&#8221; text_line_height=&#8221;22px&#8221; custom_padding=&#8221;||2px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;left&#8221; custom_css_free_form=&#8221;selector h3 {font-size: 20px !important;}&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>In oil and gas, you want to see the condition of your assets quickly \u2013 not just from a maintenance perspective, but also from integrity, reliability, and safety. Think of inspections, corrosion or wall thickness measurements, open work orders, incidents, and equipment that\u2019s out of service.  <\/p>\n<p>When this information is spread across different systems, it takes more time to see the full picture. It becomes harder to determine priorities, assess risks, and decide what action is needed. <\/p>\n<p>For AI, this overview is vital. The better the data on assets, locations, maintenance, inspections, incidents, and work orders are connected, the better AI can help identify patterns and anomalies. Not as a replacement for expert knowledge, but as valuable support for maintenance decisions.  <\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; header_2_font=&#8221;Titillium Web|600|||||||&#8221; header_2_font_size=&#8221;36px&#8221; header_2_letter_spacing=&#8221;2px&#8221; header_2_line_height=&#8221;1.3em&#8221; custom_margin=&#8221;||12px|||&#8221; custom_padding=&#8221;50px||||false|false&#8221; custom_padding_tablet=&#8221;50px||||false|false&#8221; custom_padding_phone=&#8221;50px||||false|false&#8221; custom_padding_last_edited=&#8221;on|desktop&#8221; animation_style=&#8221;flip&#8221; header_2_font_size_tablet=&#8221;&#8221; header_2_font_size_phone=&#8221;28px&#8221; header_2_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2><img decoding=\"async\" class=\"bullet\" src=\"https:\/\/gemba.nl\/wp-content\/uploads\/2025\/11\/Vector-5.png\"> Well integrity shows how concrete AI can be<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; text_font=&#8221;|300|||||||&#8221; text_line_height=&#8221;22px&#8221; custom_padding=&#8221;||0px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;left&#8221; custom_css_free_form=&#8221;selector h3 {font-size: 20px !important;}&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>The research paper gives the example of a European oil and gas organisation that has rolled out AI widely for operational improvement and innovation. The company trained more than 100 employees in AI and data science and established a Centre of Competence. <\/p>\n<p>What\u2019s interesting is the approach: they work with smaller \u201cfireflies\u201d \u2013 fast, scalable solutions for simple problems such as automatically extracting data from PDF documents. At the same time, they run larger AI projects, including an application to monitor well integrity and detect leaks more effectively. <\/p>\n<p>More than 80 AI use cases have now been identified, with active work underway on 20 new ones. The well integrity application is already in production. Here, AI sits close to the operation: at the level of data, risks, and maintenance decisions that directly affect safety, reliability, and continuity.  <\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; header_2_font=&#8221;Titillium Web|600|||||||&#8221; header_2_font_size=&#8221;36px&#8221; header_2_letter_spacing=&#8221;2px&#8221; header_2_line_height=&#8221;1.3em&#8221; custom_margin=&#8221;||12px|||&#8221; custom_padding=&#8221;50px||||false|false&#8221; custom_padding_tablet=&#8221;50px||||false|false&#8221; custom_padding_phone=&#8221;50px||||false|false&#8221; custom_padding_last_edited=&#8221;on|desktop&#8221; animation_style=&#8221;flip&#8221; header_2_font_size_tablet=&#8221;&#8221; header_2_font_size_phone=&#8221;28px&#8221; header_2_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2><img decoding=\"async\" class=\"bullet\" src=\"https:\/\/gemba.nl\/wp-content\/uploads\/2025\/11\/Vector-5.png\"> AI connects maintenance with incidents, emissions, and compliance<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; text_font=&#8221;|300|||||||&#8221; text_line_height=&#8221;22px&#8221; custom_padding=&#8221;||0px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;left&#8221; custom_css_free_form=&#8221;selector h3 {font-size: 20px !important;}&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Maintenance in oil and gas also touches on safety, environmental performance, and accountability. According to the research paper, oil and gas companies report 29% fewer operational incidents, 22% better energy efficiency, and 15% lower CO\u2082 emissions. <\/p>\n<p>Concrete AI applications for environmental and emissions monitoring include detection of diffuse methane emissions and real-time monitoring of flaring activity using satellite imagery, IoT sensors, and image recognition. Another example is agentic AI for pipeline monitoring: systems that independently flag deviations based on sensor data and satellite images and support follow-up actions. <\/p>\n<p>The real value again lies in the connection to operations. An emission incident, safety report, or deviation gains much more meaning when linked to assets, locations, inspections, and follow-up actions. This enables faster decision-making, better recording of measures, and clear demonstration of what happened.  <\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; header_2_font=&#8221;Titillium Web|600|||||||&#8221; header_2_font_size=&#8221;36px&#8221; header_2_letter_spacing=&#8221;2px&#8221; header_2_line_height=&#8221;1.3em&#8221; custom_margin=&#8221;||12px|||&#8221; custom_padding=&#8221;50px||||false|false&#8221; custom_padding_tablet=&#8221;50px||||false|false&#8221; custom_padding_phone=&#8221;50px||||false|false&#8221; custom_padding_last_edited=&#8221;on|desktop&#8221; animation_style=&#8221;flip&#8221; header_2_font_size_tablet=&#8221;&#8221; header_2_font_size_phone=&#8221;28px&#8221; header_2_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2><img decoding=\"async\" class=\"bullet\" src=\"https:\/\/gemba.nl\/wp-content\/uploads\/2025\/11\/Vector-5.png\"> Start small enough to measure<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; text_font=&#8221;|300|||||||&#8221; text_line_height=&#8221;22px&#8221; custom_padding=&#8221;||0px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;left&#8221; custom_css_free_form=&#8221;selector h3 {font-size: 20px !important;}&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>The research paper advises oil and gas companies to choose one or two AI pilots with clear value. Not a broad programme straight away, but an application where you can assess the impact on maintenance, uptime, or production optimisation. <\/p>\n<p>Such a pilot could, for example, involve predicting equipment failure in drilling installations, or creating a digital twin of a single asset such as a pumping station or compressor unit, based on real-time sensor data. You then focus on measurable outcomes like reduced unplanned downtime, higher uptime, or better production optimisation. <\/p>\n<p>It\u2019s important not to approach such a use case from a purely technical angle. With AI-driven simulations and digital twins, collaboration between subsurface engineers, data scientists, and IT is essential. This clarifies what data is needed, which systems must connect, and how the results are used in day-to-day operations.  <\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; header_2_font=&#8221;Titillium Web|600|||||||&#8221; header_2_font_size=&#8221;36px&#8221; header_2_letter_spacing=&#8221;2px&#8221; header_2_line_height=&#8221;1.3em&#8221; custom_margin=&#8221;||12px|||&#8221; custom_padding=&#8221;50px||||false|false&#8221; custom_padding_tablet=&#8221;50px||||false|false&#8221; custom_padding_phone=&#8221;50px||||false|false&#8221; custom_padding_last_edited=&#8221;on|desktop&#8221; animation_style=&#8221;flip&#8221; header_2_font_size_tablet=&#8221;&#8221; header_2_font_size_phone=&#8221;28px&#8221; header_2_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2><img decoding=\"async\" class=\"bullet\" src=\"https:\/\/gemba.nl\/wp-content\/uploads\/2025\/11\/Vector-5.png\"> Where data silos disappear, AI gains more value<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; text_font=&#8221;|300|||||||&#8221; text_line_height=&#8221;22px&#8221; custom_padding=&#8221;||0px|||&#8221; animation_style=&#8221;slide&#8221; animation_direction=&#8221;left&#8221; custom_css_free_form=&#8221;selector h3 {font-size: 20px !important;}&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>AI needs a framework rooted in the operation: asset, location, maintenance history, inspections, work orders, and follow-up actions. This is where the link with IBM Maximo Oil &#038; Gas comes in. It helps bring maintenance, reliability, asset integrity, safety, and emissions management closer together.  <\/p>\n<p><a href=\"https:\/\/www.ibm.com\/docs\/en\/mfo-and-g\/cd?topic=new-in-maximo-oil-gas-feature-channel\" target=\"_blank\" rel=\"noopener\">Recent updates in IBM Maximo Oil &#038; Gas<\/a> align well with this, offering better support for emissions management, compliance, document management, safety, inspections, and mobile incident management with mapping functionality in IBM Maximo Mobile.<\/p>\n<p>The gain doesn\u2019t come from yet more data, but from better connections between what you already know, measure, and record.<\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; header_2_font=&#8221;Titillium Web|600|||||||&#8221; header_2_font_size=&#8221;36px&#8221; header_2_letter_spacing=&#8221;2px&#8221; header_2_line_height=&#8221;1.3em&#8221; custom_margin=&#8221;||12px|||&#8221; custom_padding=&#8221;50px||||false|false&#8221; custom_padding_tablet=&#8221;50px||||false|false&#8221; custom_padding_phone=&#8221;50px||||false|false&#8221; custom_padding_last_edited=&#8221;on|desktop&#8221; animation_style=&#8221;flip&#8221; header_2_font_size_tablet=&#8221;36px&#8221; header_2_font_size_phone=&#8221;28px&#8221; header_2_font_size_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><img decoding=\"async\" class=\"bullet\" src=\"https:\/\/gemba.nl\/wp-content\/uploads\/2025\/11\/person.png\"><br \/>Would you like to know what this means for your maintenance organisation and how you can put AI to practical use for maintenance, reliability, asset integrity, and emissions management? Get in touch with Wouter Schouten on +31 (0)6 52 68 37 43 or <a href=\"mailto:w.schouten@gemba.nl\">w.schouten@gemba.nl<\/a>.  <\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_code _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]\n<style>\n.divi-custom-meta-container {\n    display:flex;\n    flex-direction:column;\n    align-items:center;\n    gap:20px;\n    width:100%;\n}\n\n.divi-meta-breadcrumb {\n    font-size:14px;\n    color:#fff;\n    width:100%;\n}\n.divi-meta-breadcrumb a {\n    color:#fff;\n    text-decoration:none;\n}\n.divi-meta-breadcrumb .separator {\n    margin:0 5px;\n}\n\n.divi-meta-title {\n    color:#fff;\n    font-size:18px;\n  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through fewer data silos\" srcset=\"https:\/\/gemba.nl\/wp-content\/uploads\/2026\/06\/AI-in-olie-en-gas-voor-meer-uptime.webp 800w, https:\/\/gemba.nl\/wp-content\/uploads\/2026\/06\/AI-in-olie-en-gas-voor-meer-uptime-480x360.webp 480w\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 800px, 100vw\" \/>                    <\/a>\n\n        <div class=\"venture-blog-content\">\n                            <span class=\"venture-blog-badge\">IBM Maximo<\/span>\n            \n            <h4 class=\"venture-blog-title-inner\">\n                <a href=\"https:\/\/gemba.nl\/en\/knowledge-center\/blogs\/ai-oil-gas-uptime-data-silos\/\">\n                    AI in oil and gas: more uptime starts with fewer data silos                <\/a>\n            <\/h4>\n\n            \n            \n            <div class=\"venture-blog-card-footer\">\n                <a class=\"venture-blog-readmore\" 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14.5889 12.2236L9.62012 17.1924C9.54235 17.2702 9.47521 17.292 9.39453 17.2891C9.3005 17.2856 9.21964 17.2537 9.13379 17.168C9.05567 17.0898 9.02442 17.013 9.02441 16.9121C9.02441 16.8112 9.05566 16.7344 9.13379 16.6562L13.8154 11.9746L9.1084 7.26758C9.03073 7.18988 9.00879 7.12357 9.01172 7.04297C9.01517 6.9487 9.04773 6.86731 9.13379 6.78125C9.21171 6.70344 9.28808 6.67293 9.38867 6.67285Z\" fill=\"white\" stroke=\"white\"\/>\n<\/svg>\n<\/span>\n                <\/a>\n            <\/div>\n        <\/div>\n    <\/article>\n            <\/div>\n\n       <div class=\"venture-blog-footer\">\n            <a href=\"\/blogs\"\n           class=\"venture-blog-loadmore venture-blog-loadmore-link\">\n            Bekijk meer blogs            <span class=\"vb-arrow\">\n                <svg width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\"\n                     xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n                    <path d=\"M9.38867 6.67285C9.4895 6.67285 9.56647 6.70326 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We are happy to think along with you about the practical application in your organization. Contact us via +31 (0)20 482 29 29 or <a href=\"mailto:info@@gemba.nl\" target=\"_blank\" style=\"font-size:18px !important;\">info@gemba.nl<\/a>.  <!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"space\"><!-- [et_pb_line_break_holder] -->  <!-- [et_pb_line_break_holder] -->      <\/div>\n<p><!-- [et_pb_line_break_holder] -->      <a href=\"https:\/\/gemba.nl\/en\/contact\/\" class=\"intro-meeting-btn\"><!-- [et_pb_line_break_holder] --> Make an appointment <span class=\"arrow\">\u203a<\/span><!-- [et_pb_line_break_holder] -->      <\/a><!-- [et_pb_line_break_holder] -->    <\/div>\n<p><!-- [et_pb_line_break_holder] -->  <\/div>\n<p><!-- [et_pb_line_break_holder] --><\/section>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->[\/et_pb_code][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI delivers oil and gas companies real improvements in uptime and fewer incidents. Discover why breaking down data silos is the foundation for better maintenance. <\/p>\n","protected":false},"author":2,"featured_media":8373,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[100],"tags":[],"class_list":["post-8378","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ibm-maximo"],"_links":{"self":[{"href":"https:\/\/gemba.nl\/en\/wp-json\/wp\/v2\/posts\/8378","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gemba.nl\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gemba.nl\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gemba.nl\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/gemba.nl\/en\/wp-json\/wp\/v2\/comments?post=8378"}],"version-history":[{"count":2,"href":"https:\/\/gemba.nl\/en\/wp-json\/wp\/v2\/posts\/8378\/revisions"}],"predecessor-version":[{"id":8380,"href":"https:\/\/gemba.nl\/en\/wp-json\/wp\/v2\/posts\/8378\/revisions\/8380"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/gemba.nl\/en\/wp-json\/wp\/v2\/media\/8373"}],"wp:attachment":[{"href":"https:\/\/gemba.nl\/en\/wp-json\/wp\/v2\/media?parent=8378"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gemba.nl\/en\/wp-json\/wp\/v2\/categories?post=8378"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gemba.nl\/en\/wp-json\/wp\/v2\/tags?post=8378"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}