{"id":584248,"date":"2026-05-28T21:58:45","date_gmt":"2026-05-28T21:58:45","guid":{"rendered":"https:\/\/www.esri.com\/en-us\/industries\/blog\/?post_type=blog&p=584248"},"modified":"2026-05-28T21:58:46","modified_gmt":"2026-05-28T21:58:46","slug":"mapping-the-future-of-energy-energy-resources-gis-conference-recap","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/en-us\/industries\/blog\/articles\/mapping-the-future-of-energy-energy-resources-gis-conference-recap","title":{"rendered":"Mapping the Future of Energy: Energy Resources GIS Conference Recap"},"content":{"rendered":"

Every spring, GIS practitioners in the energy sector flock to Houston. The 2026 Energy Resources GIS Conference brought together geospatial professionals from oil and gas, pipeline, and renewables for three days of sessions, technical deep-dives, and the kind of hallway conversations that happen when peers gather in one place. Esri partners and exhibitors packed the exhibition floor with geospatial solutions for the energy industry. Across three dedicated tracks, practitioners shared what’s working, how to apply it, and where the technology is heading next. What follows captures a handful of highlights. More detailed stories will follow in the weeks ahead.<\/p>\n\n

\"\"<\/figure>\n\n

Thirty-six years of digital transformation, and the current one is moving the fastest. Dal Hunter, Esri\u2019s director of Natural Resources, traced the evolution from desktop tools in the early 1990s through web-based mapping, enterprise platforms, and now AI. \u201cThere\u2019s been many positive inflection points in this journey, and especially with this community,\u201d he said. That community has grown from a cluster of Houston-area practitioners in 1990 to attendees convening from Indonesia, India, Europe, and South America. The scale of the event reflects how central geographic thinking has become to global energy operations.<\/p>\n\n

AI in Three Dimensions<\/strong><\/h2>\n\n

The cell phone took 16 years to reach 100 million users, the internet took 7, Snapchat took 4, and ChatGPT reached that mark in 2 months. Rob Shapiro of Microsoft\u2019s Energy and Resources team used that arc to outline the risk: \u201cIf we are not adapting along with technology, we are going to be left behind.\u201d The answer, he said, lies in what AI cannot supply on its own. Judgment, clarity of intent, and domain expertise are what separate the professionals who get the most from these tools from those who don\u2019t. \u201cAI is nothing without that domain expertise,\u201d he said.<\/p>\n\n

Esri\u2019s solution engineer manager for Natural Resources, Dr. Elvis Takow, demonstrated how AI is transforming GIS through purpose-built tools that automate tasks, assistants embedded in workflows, and agentic systems that connect GIS with the broader enterprise.<\/p>\n\n

On tools and models, Fugro\u2019s Morgan John and Sean Connor demonstrated the framework Fugro has built for seafloor mapping. Using side-scan sonar data covering an area the size of San Francisco, their system detected more than 500,000 boulders and returned a boulder density map deliverable directly to clients with a need to understand sub-sea topography for engineering projects.<\/p>\n\n

Sean Connor described how Fugro built governance around those capabilities, with standardized workflows, a shared model library and formal QA\/QC validation at every step. \u201cThis is accelerating the loop,\u201d he said. \u201cThis is not replacing the human in the loop.\u201d<\/p>\n\n

Takow then showed how natural language prompts inside ArcGIS Pro<\/a> can help a user by creating and executing technical tasks without knowing the commands or interface in detail \u2014 the user simply states what they need, and the assistant determines what tool or geoprocessing operation to execute.<\/p>\n\n

The agentic AI section, co-presented with David Nemeth, senior director at Energy Transfer, introduced Esri\u2019s new ArcGIS MCP server (releasing later in 2026) which makes any agentic framework spatially aware. Before the MCP server, Takow demonstrated how an agent built in Copilot Studio returned limited spatial information when asked for a route between two midstream facilities in Texas. When enabled with the ArcGIS MCP Server, the agent geocoded both locations, solved the route, calculated distance, and <\/s>travel time, and found field offices within a 50-mile radius.<\/p>\n\n

Nemeth then showed how Energy Transfer applies the same approach across 140,000 miles of pipe in 44 states, with agents drawing on GIS records, engineering documents, and live regulatory sources to answer questions in plain language. No SQL, no GIS interface. \u201cIf you can think of a question to ask, ask it,\u201d he said.<\/p>\n\n

From Static Maps to Living Systems<\/strong><\/h2>\n\n

At BP\u2019s Whiting refinery near Chicago, the firewater system was managed on paper maps with pins. Cherie Southwick, a geospatial technology engineer at BP, described bringing it into the ArcGIS Utility Network<\/a> to simulate water flow and pressure from input pumps to every hydrant. What once meant highlighting lines on a paper map, walking them to the operations room, and manually coordinating valve closures now takes a single click.\u00a0The goal is extending the capability to BP\u2019s other refineries globally.<\/p>\n\n

Buckeye Partners and technology partner Geonamic Systems addressed a familiar fragmentation problem: inline inspection data scattered across dozens of Excel spreadsheets from different vendors. A centralized platform integrated with ArcGIS brought that data together, giving integrity engineers a single view where anomalies, repairs, and inspections align along the pipeline. Switching to a spatial map takes one click. Analysis that was previously outsourced because of its computational complexity is now performed in-house. Jeff Watson of Buckeye Partners described the shift as moving from data storage to data readiness: the foundation for analytics, machine learning, and having AI-driven risk assessment already in place. Gaussian splats, demonstrated by Esri\u2019s Scott Noulis, represent the emerging frontier of that readiness in three dimensions. Built from drone data using ArcGIS Reality for ArcGIS Pro<\/a>, the technique creates photorealistic digital twins detailed enough to inspect corroded pipe flanges remotely and capture the 3D geometry of observed hazards. At refinery scale, the capability enables turnaround planning with spatial precision: scheduling welding jobs, mapping chemical exposure zones, and resolving conflicts between overlapping hazards before crews arrive.<\/p>\n\n

GIS as a Strategic Capability<\/strong><\/h2>\n\n

EDP Renewables\u2019 MAPEIA platform is a recent and ambitious effort to bring users across 19 countries into a single system. EDP operates wind, solar, hydro, and storage projects spanning Europe, North America, South America, and Asia-Pacific, and MAPEIA gives everyone working across that portfolio a shared view of it for the first time. Access is controlled by role and region, so each user sees what they need to see and nothing beyond it. Users work in their own language.<\/p>\n\n

For many, seeing the full scope of EDP\u2019s global operations in a single platform was the moment the value became real. The transformation required five months of coordinated effort, and a training program customized by country, role, and language. After hands-on sessions, 76 percent of trained users described themselves as excited or more excited about the platform, having discovered capabilities they hadn\u2019t imagined. The central team\u2019s main challenge is now demand management: country teams understand what the platform can do and requests are outpacing capacity. Marta Arias Alvarez, head of Global GIS Renewables at EDP, put the shift plainly. \u201cGeospatial is no longer a support function, it is a strategic capability. We started building something deeper\u2014a global geospatial culture,\u201d she said.<\/p>\n\n

Chevron\u2019s Geospatial AI Hub extends a similar logic further: applying AI agents and a spatial skills framework to MapHub, Chevron\u2019s enterprise GIS platform, with the goal of reaching the 80 percent of the organization that never opens ArcGIS. \u201cI\u2019m not after the GIS professional,\u201d said Steve Huerta, Chevron\u2019s product manager for Enterprise Geospatial. \u201cI\u2019m after that business consumer who doesn\u2019t have any experience using ArcGIS Pro<\/a>.\u201d Business users query authoritative geospatial data in natural language; AI skills route requests to the appropriate geoprocessing tools behind the scenes.<\/p>\n\n

The platform was built by a small team using AI for coding and solution development\u2014work that a year ago would have required four or five full-stack engineers across months of development. On keeping pace with AI itself, Huerta was direct: \u201cI wouldn\u2019t underestimate how fast the pace of change is.\u201d<\/p>\n\n

Where Humans Lead<\/strong><\/h2>\n\n

The oil and gas leadership panel on Tuesday gave the conference its most candid hour. Practitioners from Shell, ExxonMobil, Crescent Energy, and Fugro compared notes on what it takes to advance geospatial work inside large organizations, and the consensus was reassuring in its honesty: no one has it figured out, and the challenges are largely the same everywhere.<\/p>\n\n

Making GIS visible at the leadership level came up swiftly. Casey Smithson, geospatial Americas manager at Shell, said the shift that mattered most was changing the conversation. \u201cTalking about value delivery, not about GIS tools,\u201d she said. Megan Southerland, GIS manager at Crescent Energy, described embedding with the business, finding the pain points, and positioning the team as problem solvers rather than map makers. Morgan John of Fugro put it in organizational terms: find the senior leaders who will advocate for the work and build those relationships before you need them.<\/p>\n\n

On AI, the panel was enthusiastic and cautious in equal measure. The prospect of maps that surface answers in plain language was widely seen as a genuine opportunity. But data quality and governance were named as the prerequisites.<\/p>\n\n

Lisa Zygo of ExxonMobil was direct: the data isn\u2019t ready yet for many of the AI tools on offer. Her advice was to keep the foundational QA\/QC processes in place. \u201cDon\u2019t just trust them,\u201d she said. \u201cUse human intelligence. Double check the work.\u201d Casey Smithson described the governance challenge in practical terms: ensuring tools are being used and maintained as intended, and giving users enough understanding of how they work to recognize when something has gone wrong. Morgan John said Fugro built accountability into their agent from the start, requiring it to produce a confidence report with every answer and acknowledge when it couldn\u2019t respond reliably.<\/p>\n\n

The thread running through all of it was the map itself. Every panelist returned, in some form, to the idea that spatial context is what separates a useful AI output from a misleading one. Thinking geographically, grounding decisions in place, seeing patterns that only emerge when data is put on a map. These are the capabilities this community brings to every problem it touches.<\/p>\n\n

A recurring theme across all three days was the value of the room itself. No one is ahead of the problem. Everyone is navigating the same pressure to keep pace with AI, govern its outputs, and ensure the solutions that reach decision-makers are built on data that can be trusted.<\/p>\n\n

Thirty-six years of gathering in Houston has always been about learning from one another, and that need has never been greater.<\/p>","protected":false},"author":752,"featured_media":0,"parent":0,"menu_order":0,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[6342,191],"tags":[6554,851,531,2042,6362],"class_list":["post-584248","blog","type-blog","status-publish","format-standard","hentry","category-ergis-energy-conference","category-natural-resources","tag-ergis","tag-natural-resources","tag-petroleum","tag-pipeline","tag-renewables","industry-petroleum","industry-pipeline","industry-renewable-energy"],"acf":[],"yoast_head":"\nMapping the Future of Energy: Energy Resources GIS Conference Recap<\/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:\/\/www.esri.com\/en-us\/industries\/blog\/articles\/mapping-the-future-of-energy-energy-resources-gis-conference-recap\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Mapping the Future of Energy: Energy Resources GIS Conference Recap\" \/>\n<meta property=\"og:description\" content=\"Every spring, GIS practitioners in the energy sector flock to Houston. 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