In the past, Geospatial firms struggled with generating data from surveys, enhancements in LiDAR, HDS, and cataloging the raw data. The influx of new cameras, tools, and methods of collection demands firms stay relevant while also trying to gain meaningful data insights. Collecting and mapping across these systems can reduce organizational ability to process and analyze the massive amounts of data being collected. Once the collection is successful, substantial cleaning and enrichment may be required to transform unstructured or ‘dirty’ data for subsequent analysis.

To unlock the value of the data, gathered intelligence must be delivered to decision-makers. The challenge is providing intelligence to the end-user in a cost-effective, usable, and understandable way.

We are looking for partners to do the same in other regions and fields such as oil and gas, mining, infrastructure, transportation, real estate and watershed. Satellite and other GEOINT sources for displacement, high resolution imaging, moisture and vegetation can be integrated and published without GIS training.

 

The foundation of all our Geospatial solutions is Bintel Maps.

conventional street map of the north Denver area
Conventional street map of the north Denver area
conventional street map of the north Denver area using satellite imagery
Conventional street map of the north Denver area using satellite imagery
Well Spots that have been drilled in the north Denver area
Well Spots that have been drilled in the north Denver area, some very old and long ago inactive, and some just recently completed
Image of Well Directional Lines
The yellow are Well Directional Lines that start on the surface, run down to approximately 12,000 ft below surface then horizontally for varying distances. The Directional Lines terminate at the Well Bottomhole which marked as a blue dot
Zoom in image of north Denver area that shows surface landscape and oil production infrastructure
Zoomed in to an area just north of Denver at the intersection of E-470 and I-25 with a much better view of the surface landscape and the oil production infrastructure
Zoomed in image to see how far the lines extend and the newer well pads that handle many wells, reducing the infrastructure we see on the surface
Zooming still further into the image, you can see how far the lines extend and the newer well pads that handle many wells, thereby reducing the infrastructure we see on the surface

Bintel’s sophisticated and complex data lifecycle management expertise is well suited for geospatial applications. We can construct highly scalable solutions that can handle the voluminous data for these types of projects. Our intelligence platform features widely distributed sourcing, architecture flexibility, and real-time adaptability. We can also extract or reverse fuse geo data from sources where it resides as dormant ‘dark’ data, bringing it to life and making it available for use. Our data fusion capabilities are well suited to bring geo-coded data into new data sets; adding a new dimension.

Intelligence lacks value if it can’t be understood or integrated seamlessly into the decision-making process. Geographic data, by nature, is well suited for graphical display on maps, typically in the form of points, areas, and layers. Maps may be static or dynamic, interactive or hardcoded. Other methods of delivery include relationship graphs, 3-dimensional graphs, charts, histograms, and interactive dashboards.

Our solutions can support mobile device deployment, bringing real-time data collection to the field. Bintel offers a wide variety of means and methods to deliver data-powered insights. No matter what your objectives may be, Bintel can construct and configure the delivery of your geospatial intelligence in a customized and cost-effective solution.
Bintel Maps
1155 Maple Circle, Broomfield Colorado contact@bintel.io
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