Building an Oil & Gas Dashboard with SciChart WPF
Building an Oil & Gas Dashboard with SciChart WPF In the oil and gas industry, visualizing large datasets in real […]
Data Visualization Oil & Gas Industry
Used by many Fortune 500 companies and VC-funded companies in the Oil & Gas sector, SciChart is built for the large datasets, real-time streaming, and complex visualization requirements common in modern oil and gas software.
Whatever charting requirements you need, we can deliver. That’s why leading oil and gas organizations trust SciChart for high-performance chart dashboards.
- Well log visualization
- Reservoir and geoscience analysis
- Drilling and production dashboards
- Distributed Acoustic Sensing (DAS)
- Distributed Temperature Sensing (DTS)
- Pipeline monitoring and pigging systems
Trusted By Industry Leaders
Realize the Potential of Large Datasets in Oil & Gas
Well sites, digs and exploratory processes in oil and gas geoscience can reveal billions in unrealized revenue. But handling this complex multivariate data for commercial insight needs the right tools. With SciChart, we can help you see new worlds, rendering 1 billion data points in JavaScript and billions in WPF in real-time.
Keep Your Real-Time Drilling & Monitoring Dashboards Responsive
SciChart uses GPU-accelerated rendering, including WebGL for JavaScript and DirectX for WPF/WinForms.
It’s built specifically for high-frequency streaming data. This enables smooth, low-latency updates.
Real-time drilling and monitoring dashboards stay responsive even under continuous data loads. That means you can render 1 billion data points efficiently.
It uses techniques like data decimation, resampling, and hardware-accelerated rendering. This lets engineers pan and zoom across extended historical datasets.
Identify New Opportunities on a Global Scale
Our software solutions power gross revenue growth for big players in the Oil & Gas industry.
ExxonMobil needed a bespoke parallel coordinate plot capable of handling vast amounts of global data.
With our custom rendering engine and flexibility, they were able to deliver over 10,000 series with multiple axes.
They continue to use SciChart to power their global geoscience department, helping them to search for new opportunities from their existing data sources.
Increase Operational Efficiency & Minimize Risk
SciChart powers Reveal Energy’s real-time data monitoring platforms, analyzing thousands of wells simultaneously. They approached SciChart when other charting solutions were unable to handle the large datasets they needed to give their customers.
Our hardware-accelerated rendering and 64-bit charting software ensured ongoing performance as data volumes and visualization requirements grew. It also secured them the Best Data Management and Application Solution in the World Oil Awards.
Fibre optics and well-site diagnostic data produce terabytes of information. Manipulating the right datasets can highlight areas where operational efficiencies can be improved. These insights directly result in cost savings and enhanced safety.
Related Articles: Oil & Gas Data Visualization, Monitoring, and Analytics
See how SciChart can improve data analysis of oil fields and natural gas reserves around the world.
"They added over $400 million of gross revenue to upstream operated assets."
See the Difference with SciChart
If you’re looking for tools with real-time charting features, try SciChart today and see the difference.
Specialized Oil & Gas Chart Types Out of the Box
Oil and gas visualization often calls for specialized chart types. General-purpose libraries rarely support these out of the box. To help developer teams avoid building workarounds, SciChart’s API is designed for extensibility. It supports custom renderable series, annotations, and axis types, including reversed or depth-based axes.
Oil & Gas Data Analytics Dashboard
The Oil & Gas Explorer Dashboard combines several techniques in SciChart.js to create beautiful 2D/3D chart demonstrations. A common use case in oil and gas exploration is to visualize dashboards of charts arranged vertically. These are used to visualize parameters such as drill speed, rock type or hardness, temperature and pressure with increasing well depth.
It’s also possible to seamlessly link multiple charts together. These can be arranged vertically, where all zoom and pan and tooltips work across the charts in a synchronized manner.
Vertical Charts
The vertical chart is the most popular configuration for oil & gas and allows you to visualize drill depth. Using our configuration, the entire chart can be rotated 90°.
Synchronized zooming, panning, tooltips, and selection all works vertically with our RolloverModifier feature.
Each vertical chart has a different visualization to showcase the flexibility and power of SciChart.
3D Charts and Sonograms / Heatmaps
Heatmaps can be used to visualize ultrasound sonography recorded from a well site. Built with our software, they are highly performant and may be updated in real time to show ultrasound data or spectrogram data from oil well sensors in Distributed Acoustic Sensing (DAS) as well as Distributed Temperature Sensing (DTS).
SciChart enables clients to visualize the flow of oil & gas through a well head and allows monitoring remotely via SciChart.js’s heatmaps.
Our powerful proprietary rendering engine ensures our customers can sift through terabytes of data.
What Features to Expect With SciChart?
Build multi-pane, multi-axis layouts with built-in synchronization. Features include shared axes, linked cursors, and coordinated zoom/pan. This makes it easier to build comparison dashboards. Users can view production trends, offset wells, or sensor arrays together – all with stable, real-time performance.
Chart Performance
- Designed for stable memory usage in long-running applications
- GPU-accelerated
WebAssembly-powered - Low latency interactivity even on large datasets
- 2.3MB bundle size
- Float64 array and FIFO mode for enhanced data efficiency
- Cross-platform performance across JavaScript, WPF/.NET, and iOS/Android
- Continuous streaming
- Deterministic rendering
- Visualize 1 billion points per dataset
- Continuous 24/7 operation
- Sustain 200k points per second
- Refresh 64+ charts in under one second
- Embeddable within MES, YMS, and ATE systems
- Direct integration into React, Angular, and Vue
Extensive Charting Features
- 2D & 3D plotting
- Animation of data
- Annotations on chart
- Zoom & pan
- Tooltips
- Touch interaction
- Link multiple charts
- Legend customization
- Logarithmic axis
- Multiple X & Y-Axes
- Per-point coloring
- Programmatically change viewport
- Theme or template customization
5-Star Support for Developers
See the level of support developers get when building real-time chart solutions.
Responsive 5-Star Technical SupportWith our 5-star technical support subscription, we aim to answer all support tickets within one business day* and often even faster.
Get Answers Fast with our AI AssistantAsk our AI Assistant questions about SciChart and receive instant guidance and support.
Knowledgeable Support ForumsWith nearly 4000 answered support requests on our public support forum, you’ll never be left without an answer.
Extensive DocumentationThousands of pages of documentation across all platforms to help developers get the most from SciChart.
Tutorials & VideosOur regularly updated YouTube channel will help you understand what’s possible and answers the most commonly asked questions.
Hundreds of Example ChartsOver 350 chart examples will get you what you need to get out of the blocks more quickly.
Data Visualization Across Every Major Platform
JavaScript
Charts
SciChart supports TypeScript, React, Vue, Angular and more with WebAssembly and WebGL hardware acceleration for big-data performance.
SciChart.js
WPF
Charts
For native windows apps. Supporting DirectX11, .netCore or .Net Framework, C# and VB apps on Windows 8, 10, 11.
SciChart.wpf
iOS & macOS
Charts
Supporting Swift, Objective-C native apps on iOS devices with Metal hardware acceleration, and native apps on macOS desktop.
SciChart.ios
Testimonials & Reviews
Award Winning Software – Continually Rated Best with Hundreds of 5-Star Reviews
4.9 Average - 425 Reviews 
4.7 Average - 9 Reviews
4.4 Average - 4 ReviewsWith a rating of 4.8, SciChart is one of the highest rated chart libraries in the world*, used by over 10,000 expert developers worldwide.
Read All Reviews
Steven I
Without doubt, the best charting library I have ever used. The examples suite is comprehensive to easily get you started coding on a new project. The sales & technical support staff are always responsible and eager to help. Chart customisation is extensive and rendering speed is quick.
Chris Kirkman
This is an incredible product. First it's the best chart I've had customers compliment how great the charting parts of our application look/behave. I couldn't recommend this product anymore than I already do. SciChart really hit the mark. I wish all software products could be this easy to use and be so productive (not to mention blazing fast).
Mete Alinc
This is a wonderful tool for developers who need highly customizable and fast charting in 2D or 3D. I did a comprehensive market research in terms of what kind of charting I have to use for a commercial app. I've come to the conclusion that SciChart is simply the best charting framework out there meeting our needs. Keep up the good and quality work!
Jack L
SciChart has always provided timely and expert support for an already superb product. The WPF charting solution is at the heart of our user interface. We are an extremely satisfied, long term customer.
Miles
Andrew and the team were amazing bringing me up to speed with the SciChart platform. Their tech support is great, and the product is even better.
Steve
We have been coding Technical Analysis software for 16 years and during that time have tried most charting modules on the market. SciChart is by far the best, not only for features, speed and reliability, but their support has been above and beyond anything else we’ve experienced.
Latest Articles & Case Studies
Read the latest news with essential updates for developers and a deeper understanding of what you can achieve with SciChart.
