Name: What’s New for Energy: A new decision layer with Spotfire® Industry Pro
Uploaded: 2026-03-04T17:16:08.732Z
Duration: 40 min 41 s
Description: What’s New for Energy: A new decision layer with Spotfire® Industry Pro

Transcript for "What’s New for Energy: A new decision layer with Spotfire® Industry Pro": Hello, everyone, and welcome to today's webinar, what's new for energy, a new decision layer with Spotfire Industry Pro. We're thrilled to have you with us today. I'm Jean-Philippe Richard-Charman, and I'll be your host for this session. Now before we get started, I just wanted to cover a few housekeeping items with you all to ensure that you have the best experience during this webinar. So the webinar will last for up to around forty five minutes with a ten to fifteen minute Q and A segment that will be held at the end. If you have any questions during the presentation, don't hesitate to use the Q and A panel located on the right side of your screen, and we'll look to address as many questions as we can during the Q and A segment. We've also made a few assets available today, all of which are linked to today's webinar, and these can be found in the docs section of our webinar platform, so right next to the q and a section located on the right hand side of your screen. But please do feel free to access these assets. Now after today's session, a recording of today's webinar will be made available on demand, and we'll email you the link to the on demand version shortly after the event. Now with that, let's dive in. Now I'm excited to introduce our main presenter today, Drew Scherer. Drew is part of our energy and subsurface team at Spotfire and is our lead applications engineering manager for energy and subsurface here at Spotfire. Now before we dive into what's new, I just wanted to take a brief moment to level set on what Spotfire is fundamentally built for. Now Spotfire is a visual industrial analytics platform designed for experts, so scientists, engineers, and analysts working with complex, high stakes industrial data. Now what makes Spotfire different is how it brings advanced analytics, industry specific visualizations, and AI together in a single environment, which really lets experts move from raw, complex data to insight that they actually trust and can act on. So this really isn't analytics for reporting after the fact. It's analytics designed to support investigation, interpretation, and decision making while work is still in motion. Now our vision is built on that foundation. Spotfire is built to be the ultimate industrial analytics platform for scientists and engineers whose work is iterative by nature and where understanding why something is happening matters just as much as seeing what is happening. Now first, Spotfire is visual driven by design. Visuals aren't the end result. They're tightly coupled with advanced analytics to support exploration, hypothesis testing, and refinement. Secondly, it's industry focused. Spotfire includes domain specific visualizations, analytics, and data connectivity designed to solve real industrial problems, not generic dashboard use cases. And finally, it's enterprise scale. Everything we'll show today is governed, secure, and extensible, designed for designed to work for thousands of users across diverse data sizes and operational scenarios. Now with that in mind, let's look at what's new with Spotfire, specifically how Spotfire Industry Pro serves as a decision layer for the energy industry. Now to really set the scene and really setting the scene at a high level, with regards to some of the core challenges of the energy industry, which I'm sure a lot of you, are familiar with, but these include long and complex asset life cycles, so high capital and operating costs, and a global supply chain with volatile commodity prices. There's a need to reduce risk and increase subsurface confidence, make incremental gains to efficiency and safety while also maximizing return on investment and the agility to pivot to new opportunities. Now underpinning all of these challenges is heterogeneous technical data or data that is held hostage by specialist tools that are powerful, but at times not very agile. This really presents a barrier to fully empowering your geoscientists and engineers to make use of their expertise and creativity and really slows down technical decision making. Now in energy, specialist tools are essential. Every discipline depends on them to do both routine and deep dive deep dive tasks, But they've also created a new problem, which is this depicted here in this graphic, which really depicts messiness. Now each discipline works with their own data in silos created by these specialist tools and industry data formats. Collaboration is messy and slow when you have to use a single tool for each part of your project. To compound on this, upstream teams are often dealing with tight deadlines and routinely have to adapt to unforeseen issues all while trying to maintain a competitive advantage. Now to be a bit more specific, existing collaboration in energy organizations probably looks a lot like sending screenshots, printouts, and PowerPoints between teams. These are then held up to the light to try and make sense of where partners might lie and when they think of a new idea or scenario to test. They then need to recreate those screenshots with the new data and set up more meetings to follow-up. This eventually delays analysis. It delays analysis by hours, getting to a decision by weeks. And the cost of missing the best outcome because they didn't have the time to adequately explore all the options could eventually cost millions. Now where does Spotfire fit in? With that, I'll hand it over to Drew to talk through and to present through the main difference of Spotfire Industry Pro. Thanks, Jean-Philippe. So Spotfire Industry Pro ultimately represents our investment over the last two to three years really leaning into the energy industry to really focus on subsurface and surface challenges within the industry in a way that's more contextual, more actionable, and more insightful than direction that we have gone in the past. And so overall, here's kind of a overview of some of the features and functionalities that we've really been focusing on for the Industry Pro product. As you can see on the left, there's the industry native visualizations. The reason that we want to do more visualizations within the energy context is that if you're trying to cross these silos and connect data across your entire subsurface team, like Jean-Philippe kind of alluded to, you know, scatter plots, box plots, pie charts. They're great, but they can only go so far. And we've really been focused on developing these visualizations to be actionable for you. So an example could be, know, if you wanna look at petrophysics data, it makes sense to look at that in a well log view. If you wanna look at TOPS data, across a large area, it makes sense to look at that in maybe the three d lines and surfaces or in combination with a gun barrel to understand not just your spacing between wells, but also your spacing in relation to your tops. And there's many other visualizations that we've we've put out that I that I don't cover here, but, you know, there's other visualizations like the wellbore mod, the ternary plot, the polar plot, and some more operational plots as well. Backing this, we've really focused on how can we enable a solution for our users to be able to get these up and running with as little of their own input and code as possible. And so those reflect in our prebuilt data functions, which are scripts of Python and R code that are available off the shelf for you to bring into your function bring into your applications and deploy functionality like geospatial transformations, like time series, smoothing, and also time warping as well. Similarly, we have action mods. You can think of action mods, if you're not familiar, as kind of macros or collecting, anything that can be done with kinda clicks in Spotfire. So configuring a visual, creating a new page, adding visuals, running a data function, these all you know, these steps, either just one or multiple, can be packaged together into one action mod and distributed across your whole organization to many different applications so that if you're doing a repetitive process, you know, multiple times either in one application or even better yet in multiple applications, you can really streamline that for the user. I'll I'll demo that a little bit in my demo in just a few minutes. Kind of with that theme of low code, no code, there's also the Spotfire Statistica package. This is a package of over 100 different statistical and machine learning algorithms, everything from classification to clustering to dimensionality reduction, really with the goal here of, you know, if you want to do these data transformations, these analysis in the back end with your data, you don't have to write your own custom scripts. You don't have to take data out of Spotfire, plug it into some other tool, generate an output, and then get it back into Spotfire. You can have it all within one kind of product. And then lastly, we have the premium file connectors. And so right now, there's a LAS file connector allowing you to connect natively to LAS data that you have. So the ability to actually recognize when data starts, store the data that's in the headers, helps with the the petrophysical analysis as well as an Esri ArcGIS connector, which allows you to connect to your geo data, whether that's in a local geodatabase or in an Esri ArcGIS online system. And all of this is fully supported and warrantied and is constantly being updated by Spotfire. And so all of this together, it helps make that whole kind of, you know, ecosystem of all your specialist tools and different data domains, you know, much more straightforward and easy to integrate into applications that actually help solve business challenges. So I have a couple examples here, including looking at field development scenarios. This will be the topic of the demo today. But there's many other use cases, whether that's trying to look at drilling and geology together, petrophysics in production, or looking at production from kind of more of a well and equipment surveillance kind of kind of look. And so by having these functionalities to recap of the industry specific visualizations that allow you to interpret, digest, and make decisions based off of that data in a way that's familiar to either you yourself as a geoscientist or engineers or your internal customers if you're an application builder supporting these teams, the data functions, the action mods that allow you to really get these applications from eZero to hero with as minimal time and as minimal data wrangling and transformation as possible, and, ultimately, the ability to provide these to customers as more complete, visually aesthetic, and actionable products. And so, ultimately, the business implication of this is that your customers are able to or yourself internally are able to really take all this different technical information from all these different silos that normally live in their own kind of silos, if you will, and bring them together to really identify patterns across your entire dataset and really understand performance drivers in in ways that was really hard before to be able to make those connections. Like Jean-Philippe said, in the past, you, you know, you might have, you know, shared screenshots. You might have put things into PowerPoints, kind of holding things up to the light to see where those patterns line up. And then if someone has, you know, a question or wants to do a deeper dive, you have to go back into those tools, regenerate all your outputs, and stick it back in together and discuss again. Spotfire Industry Pro allows you to do that all in one application, which is a lot more collaborative and interactive because you can go into that tool, you can run those scenarios, you can discuss them, and then you can iterate on that without having to have, you know, tons of meetings, tons of presentations to be able to get to the best decision. So just wanna throw a clarification out there. It looks like we're kind of connecting these silos, and, you know, some of you, especially those of you with a data background, might be kind of going to towards the lens of, is Spotfire Industry Pro a data integration tool? And, you know, you might already be using OSDU or OpenWorks, Petrasis, a variety of tools. Maybe you're exploring a big data warehousing solution like Databricks or Snowflake. And Spotfire ultimately isn't a data integration tool. It's more of the actual visualization and the relations between that data to ultimately drive those patterns, that decision making. But at the same time, we work really well with these data integration tools. And as you invest more and more in these data integrators, your experience with Spotfire will get that much better. So a little bit of a setup to the demo that I'll kinda present today just to kinda give you a quick background scenario. This is kind of a field development scenario analysis project or idea which is to connect different types of data. So some of the data types we have in this demo include formation tops, directional surveys, geochemistry maps, as well as production data. And, typically, a lot of this data lives in different silos, if you will. It's either, you know, kinda contained within its own specialist tool. Maybe they have some proprietary data formats or it's a different data type. And without using Spotfire to connect all of this, it becomes a really kinda challenging process of doing doing this scenario analysis to identify what are the key drivers and, especially, how do I combine the expertise and creativity of my own staff with their interpret interpretive capabilities as well as also honoring the data and doing some more kind of math within the data, especially geospatially. So I'll go ahead and share my screen, and we can kick off the demo. Alright. So this is what the landing page looks like, 14.5 and above if you have it. But, ultimately, I'm gonna go ahead and open one of these demos from the library. If you're not familiar with the library, it's a really great tool to allow you to package all of your applications, either having them in individual folders and team folders, allowing you to control access to them as well as to be able to share them both in the desktop client as well as in the web as well. So here, I have kind of our our layout of the scenario analysis to kinda orient yourself. The data that I have in this analysis is from the Williston Basin in the in North Dakota. I have a well selection map here. I have a detailed map that'll populate with a selection, and then I also have a well spacing diagram that I can generate as well as just a view of production. And so it's highly interactive. I can just like, you know, traditional Spotfire, I can select a, you know, group of wells. What it then does is it goes into, you know, my data background, and it'll bring in all of the different shape files for the actual well sticks. I can pan around in this area. I can zoom in and see zoom in one more level and let it render. And I'll see kind of, you know, the the spacing and, you know, well positioning from kind of that bird's eye view, that 30,000 foot foot view. And so looking at this, I can see that there's kind of a variety of spacing patterns. There looks to be some wells that are kinda widely spaced apart, tightly spaced apart. Some have kind of a north south azimuth. Some are east west. And then there's the couple diagonal and kind of fan shaped well developments throughout. So, ultimately, you know, this seems to be a great case for me to kinda do some deeper analysis on, you know, what spacing drives production the best, and are there any other contributing factors? How can I connect some additional data to drive some additional insights within my analysis? So I'm gonna use the bookmarks, and I'm just gonna zoom in on a specific area of interest. Bookmarks are a great tool if you want to kind of capture some of your scenarios that you've run, identify an area of interest that you're curious about. You can load that, and it's gonna load the well selection and all of the views that you have set when you create that bookmark. Also loading this data, what I'm doing is in the background, I'm running a couple data functions. One of those data functions is a tops grid interpolation, and this is looking at all the tops that I have selected in the well selection map. It's creating a grid of those, and it's doing an interpolation to actually create a three-dimensional surface. And this is for the well spacing diagram so that I can identify where those formation tops with reference to the wells. And it also creates a a splice line that data function ran rather quickly that looks at the wells that I have selected, identifies the average azimuth of these wells, selects a line that would be perpendicular to that, you know, prevailing azimuth, as well as looks at the lateral length of the wells and calculates a midpoint along that so I can get a representative gun barrel of the area that I have selected. And so you can see in the area that I've selected, I kinda have an interesting group of wells to orient you. You know, there's some some wells that are kinda widely spaced, some that are tighter spaced. There's some 15 k laterals in here that might be worth looking at, might be worth just isolating out of my data. And, also, you can see in the background that there's a a geospatial layer, which in this case happens to be a geochemical layer of the Bakken, as a proxy to kind of fluid mobility. And so the the higher the zone number, the more mobile the fluid versus the the lower, the less mobile. And so overall, you would probably expect better production out of the the pink area of the map that you see versus the green. And so it'll be really interesting not just to look at the pink overall compared to the green, but also kinda doing an apples to apples comparison of of as much as we can of looking at the widely spaced wells in the green versus the widely spaced wells in the pink. So since those data functions ran, that enable me that enables me to launch one of our industry pro visuals, which is the well spacing diagram. It's one of my favorite visuals in that it allows you to create these really awesome gun barrels on the fly, super quick, and is more than just a view. So while I can view the spacing here, it's highly interactive. I can look at both the vertical and the horizontal spacing, kinda like a right angle spacing between the wells. I can go in and actually edit what that looks like. I can change the distances between wells, and I'll blow this up a little bit so it's easier to see on the screen share. But I can change this from looking at kind of a nearest neighbor approach. So it's looking at the two nearest neighbors and just kinda what's the straight line distance. Or, for instance, I can just look at the horizontal distance between the wells. In addition to viewing, we also have a really awesome measurement tool. You can either do straight line measurements where I can click on an object that I have within my data, and I can measure a distance whether that's to an arbitrary point. I can snap it to a formation top. I can snap it to another well, and it works with with everything. So even if I wanna look at something that's that's not necessarily a neat nearest neighbor, I can go and and create a distance measurement. This can also be done in a right angle kinda like you see here. So if I want the the the x and the y component, obviously, you can see that matches there, but I can measure, you know, all the way over to the other side of the development to to understand, you know, my vertical and horizontal offsets. K. So like I said, it's more than just viewing the data that we have created by slicing these directional surveys, actually see where they fall in an x y position and also looking at the relations ships to the formation tops that I have here. But I can select all of these wells. And and mind you, these are all formation tops and directional surveys and use Spotfire's data relations to actually look at that in another table like production. Right? So it's identifying the rows and production that correspond to these rows and the directional surveys and allowing me to look at my data. Kind of I talked about action mods a little bit. A really simple example of an action mod, but something that might be super useful, is kinda toggling views within some of the visuals that you have configured. So for instance, looking at this in kind of a a rates time view isn't super helpful to me. I could connect it by lines and maybe get a little bit more information, but it's really hard to pick apart, like, what are the the high performers, what are the low performers, how much variance do I have in this production data. And so you can go and write a cumulative kind of production expression to to configure your visual. But if you do that and, you know, you wanna apply that to to many applications that you already have, a really great way to kind of capture that is just to write an action mod. And so this one is just gonna toggle that to a cumulative production view. And so with just one click of the button, I'm able to configure that, and I'm also able to revert that with just one button. And so now when I look at the cumulative view, I can see that there is indeed a variance. It seems like there's kind of a normal level of production here kind of in the the lower tail. And then there's quite some variance with some high performing wells, and then there's even these wells over here that haven't even really turned over on their their cumulative curve yet. Before I go any further, just kinda wanna highlight maybe a more advanced use case for action mods, which would be to do some QC. So in particular, I'm thinking about these wells here in the the bottom right of your screen. I'm you know, as a geologist by background, you know, I'm kind of, you know, curious about are these really in the formation of interest, which is the Bakken? Because with this gun barrel diagram, they seem to be kind of at the bottom, so I'm kinda curious. You know, could there be a potential mispick? Or, you know, do those wells actually stay within the formation for most of their lateral or do they kinda diverge, go up, go down, etcetera? And so I've created an action mod here that says create drill down page. This is kind of a QC page. Launching this action mod, I'm actually gonna launch a whole new page that wasn't already in my analysis. I'm gonna bring in some additional data that lives in those other silos like petrophysics. I just have a simple gamma ray plot here, but, you know, you could plot multiple log curves. You could plot tops to identify tops mix misfits. If you have core data, you can plot discrete data within the well log chart, and you can, of course, scroll that data to kinda see where is, you know, the the maybe an issue or maybe not an issue. Over here on the left, you can see our three d lines and surfaces, and I can see the output of that data function of that top grid interpolation as well as the slice plane here. It's kinda difficult to see the wells here at the vertical exaggeration that I have set. So one of the the features and functionalities that we have is actually scaling that down just to the area immediately around the wells that you have selected. And so by configuring or by selecting that button, I can actually look at my wells in three d, look at that, essentially, that gun barrel that I had in in three dimensions and be able to zoom in, zoom out, pan around. And, ultimately, I was curious about these wells. And to me, it looks like if I if I trust the tops here, it looks like they landed them a little high. They came down kinda screaming in zone, and then they flattened out and maybe even came up back a little bit into the the landing zone towards the tail of their wells. But overall, it looks like at least half of the wells are kind of in my formation of interest, so for now, I'll keep them in my analysis. So now a little bit about kind of how you can use your users' creativity and expertise. A great way to do that, you know, something that you might have already be familiar with is our tags functionality. The tags functionality allows me to really connect these silos by interacting with a specific visualization that might be using one table to mark rows in another table. So because the goal of this is ultimately to identify the production and identify the the production drivers, I want to to categorize the production even further. But I wanna do that in a way that's not looking at, you know, a well here, like, just kind of, like, hovering over the the wells, jotting down the the well IDs or the API numbers, and then having to go into my table, my production table, and add columns and everything like that. Spotfire enables you to do that super seamlessly and easily. You can see I have a very simple categorization here of wide, tight, and 15 k. You could get as granular as you want with this. You could do 600 versus 800 foot spacing. You could do what companies drilled and completed the wells as far as contractors. You could do what ops geo steered the well. Anything that you can think of, you can create a custom tag for. And all you have to do is just select the data that you're interested in, drag and drop the tag to the visual that you want to use to do that categorization. So I did wide. I'll do tight. And then I'll isolate those 15 k's just because they're, you know, one and a half times the length of the other wells just to see if there's any kind of difference there in the production. Now kinda zooming back out here, I can trigger another action mod to just color by the tags that I just created, and I can instantly see a trend pop out of wide versus tight spacing. Wide looks better. And, indeed, those 15 k's are the ones that are that are screaming and haven't really rolled over just yet. So I'll keep them in kind of their own bucket for now. And so this is great. And so maybe this is all you need to go. But to highlight how you can bring another type of dataset into this analysis, I want to kinda highlight using that this geospatial functionality to honor your data and create additional tags. And so this is a geochemistry map here, but this could be a porosity map. This could be TOC. This could be any other type of geospatial layer. The points and polygons functionality, which is a data function, allows you to find the intersect between these geospatial layers that exist as, say, map layers and then also for find where those line up with your point or line data. So I can trigger this this data function here through an action mod just called points and polygons. It's going to identify that spatial data that I have, find where those two intersect, and then it's going to actually create its own column and tag set within the production table. And so it only takes just a couple seconds here for it to run. And I see an interesting kind of trend in that I really expected the pink area to be better than the green looking at a cumulative oil per well basis over over time. However, this doesn't take into account any of that tag data that I just created, but I can quickly retoggle the the color scheme here on the visual. And now I can see something that's really awesome and interesting, which is, you know, I am using my user's expertise and creativity of the tags to kind of tag out different categories that I want to investigate as a user, but I'm also incorporating this geospatial, geochemical data within the same categorization. And so here, I can see not just that wide looks better than tight spacing, but those 15 k's are are separate. And when I just look at wide spacing to wide spacing and looking at the different geochemical zones, I do see indeed that the the zone five geochemistry, when you do do the same kind of spacings pat pattern, looks much better in the in the zone five, more mobile fluid than in the less mobile fluid. And likely, those those 15 k's that are in the zone four, could it kind of indicate why that those curves were kinda flipped in that first v view? So then, you know, this is just kind of one example of scenario analysis that I did. Of course, you could get much more detailed and granular to this. But aside from my narration of walking you through this demo, this is something that really only took me a couple minutes. And so, you know, in the hands of an experienced subsurface professional, this is something that you can rapidly iterate. You can evaluate multiple multiple areas. Of course, this is static data. So if I'm getting a monthly production data or even daily production data, I can quickly refresh this and look at these same scenarios super quickly. And then I now know something that, you know, maybe my competitors don't know, right, which is this kind of intersection between geochemistry and well spacing. And so whether I'm looking to develop an area that looks, you know, more undeveloped here in the green, maybe I pursue those 15 k laterals. Or if I'm looking at maybe, know, this area over here, I now know that, you know, the cumulative production over over about four years or so is is close to a 100,000 barrels a well difference in EUR, and that might drive my development plans on actually going kinda wide first in my future developments rather than just, you know, spacing it super tightly. So this is just one example of of using Spotfire and Industry Pro to really make sense of these different data silos, connecting them together, and being able to have a really agile application experience. And I will hand it back over to Jean-Philippe to round out the presentation and get us to the q and a section. Beautiful. Thank you very much, Drew. A great demo. Very, very insightful, and I'm sure everyone can agree with that as well. Now I'll just share my screen very quickly. And I believe you had a few other things to discuss with regards to our industry probe, Drew. Yeah. So yeah. So, ultimately, you know, I showed a little bit of a teaser here, but there's many more features and functionalities that continuously rolling out into the product. Some of the things that you see on the screen here that I've that I haven't, you know, mentioned during my demo that might be of of interest, and we'll have some more content coming out on these in in the near future, including a webinar on our new 14 dot 8 release that'll be tomorrow, I believe. Is that correct, Jean-Philippe? That is correct. Okay. So so some things include reference elements, which are the ability to have overlays on your existing data. So these can be things like limits, averages. They can come from the table that's feeding the visual or other other data sources, more enhancements to our kind of, you know, standard, if you will, visualizations to make them, you know, more robust and more insightful for energy, as well as a lot of the frameworks in the background that really enable you to build these applications. And even if you've done a lot of your own development work within the Spotfire environment on your own, our hope is that these frameworks that we've we've been developing with visuals, with how we deal with with data tables, like the tall versus wide data match on column names really help enable you to deliver a better product either to your executives and your stakeholders or to your own internal customers. And we've also been really investing in time series and production data lately a lot as well. Beautiful. Thank you very much, Drew, and thank you for your insightful presentation today. And thank you once again to everyone who joined us today as well. Now before we get on to our q and a segment, a few things that we wanted to share. In terms of our upcoming webinars as well as our on demand webinars, we have two great series that are being added to on a regular basis. So whether you're looking to find out more about Spotfire or looking to learn about the latest in terms of what's new, please don't hesitate to register to the full series. As you can see here on screen, we've got quite a few, from our product webinar series are on demand, and this is just a a short snippet. We're not limited to those three that you see on your screen. We have quite a few, that are available on demand from last year, and we'll be continuously adding to the webinar program as well. In terms of our what's new series, as Drew mentioned, we actually have our what's new in Spotfire14.8 webinar taking place tomorrow at the same time, so 11AM eastern for everyone that's over in The States. And we also have our, once you're unifying your data with Spotfire and data virtualization webinar on the March 25. So it's looking at Spotfire data virtualization specifically. Now additionally, in terms of the on on demand access, a recording of today's webinar will be available soon, so please do keep an eye on your inbox for the link. In terms of next steps, if you're interested in learning more, please feel free to visit our website at spotfire.com or contact us directly. There are lots of ways to interact with us. So whether it's via our socials, through our community, additionally, our blog site has lots of great content where we share the latest on visual industrial analytics, where we also dive into Spotfire Industry Pro in more detail. And last but not least, if there are any enhancements that you would like to see or have ideas that you'd like to share with us, please don't hesitate to visit our ideas portal and submit your ideas there. And with that, we wish you a fantastic rest of your day, and thank you once again for joining us today. Take care. Thank you.