Geosyntec Consultants’ Post

Plume of the Week! QLM’s Quantum Gas Lidar has demonstrated the most accurate quantification performance of any continuous monitoring technology at METEC, but how is that performance achieved? It’s owing to the inherently 3-D quality of the lidar data – the 3D capability of lidar enables extremely accurate plume size measurement and therefore high quantification accuracy. In other words, the system is able to measure the distance to the plume origin and thereby scale the actual, physical size of the plume. Combining that with the measured methane concentration path-length results in effectively being able to calculate the number of methane molecules in the plume. #methane #naturalgas #oilgas #oilandgas #oilandgasindustry #methanereduction #wastewater #wastewatertreatment #biomethane

It's getting close! I'm so excited and honored to be presenting at this year's Pipeline Pigging and Integrity Management Conference. Please join me during the 3.1 Geohazards track on February 14th to learn about how ROSEN, Teren, Inc., and Marathon Petroleum Corporation are leveraging IMU, LiDAR, and AI to advance the way we detect and prioritize geohazards and pipeline movement. #PPIM2024 #ROSEN #Pipelines #IntegrityManagement #Geohazards

Today, our CTO Dr. Mike Thorpe will be speaking at the AWMA Measurements Conference on an exciting breakthrough we’ve recently had here at Bridger Photonics on how we can now determine the detection sensitivity of our Gas Mapping LiDAR technology on a site-by-site basis during actual field operations. Why is this breakthrough important? Detection sensitivity tests are often conducted using controlled release testing, which are usually performed under “ideal” conditions that don’t accurately reflect all the conditions that are seen out in the field. There are many variables happening during actual field deployment that can impact the detection sensitivity of methane detection technologies. These variables can include ground reflectivity, ground wind speed, flight altitude, and more. In his talk, “Probabilities of Detection for Aerial Survey of Oil and Gas Sector Methane Emissions,” Dr. Thorpe will dive into how our team consolidated the factors that impact detection sensitivity into just two, well-characterized variables – wind speed and gas concentration noise – which can then be used to determine detection sensitivity for individual sites scanned with Gas Mapping LiDAR. Stay tuned for more info on this exciting breakthrough coming soon. #emissionsreduction #detectionsensitivity

Plume of the Week! Our customers don’t ALWAYS need to dig into individual plume measurement details and imagery, but when they do…. we have a search tool for that! …continuing our QLM Cloud workflow walkthrough, here we show yet another way to find, review and export our lidar data. This browser provides live search and sort functions, making it easy to locate measurements at a particular location or time, or via other searchable attributes – and many won’t be plumes, but rather data showing there were no emissions at that time and place. The tool allows tagging of individual or groups of measurements for driving follow-up/repair workflows or for associating measurements with specific events. The data can be individually exported or viewed from this screen, or it can be opened for detailed analysis in the emission viewer screen we showed last week. This search engine also underpins our full reporting capability, but to learn more about THAT, you’ll have to join us next week! #methane #naturalgas #oilgas #oilandgas #oilandgasindustry #methanereduction #wastewater #wastewatertreatment #biomethane

Are you looking to take part in the August #auction for the N-9 offshore sites in the German Bight? Struggling to get a handle of the floating LiDAR data available there? #BrightWind has extracted, processed and cleaned the N-9 floating LiDAR buoy 2 (N-9_WLBZ_2) and hosted it for free on #Brighthub. There you can get a quick overview of the issues found throughout the deployment, and can access both the raw data files, compiled raw data timeseries, the IEA Wind Task 43 data model for the site and the cleaning log aswell as access to all of the associated deployment documentation. These are also available by API, for fast data analysis and automated analysis. Just create a free account by going to www.brighthub.io , you can use our GIS interface to find the LiDAR in the German Bight and start getting the value of #BrightHub open datasets today. #windenergy #offshorewind #renewableenergy #renewableauction #offshorewindenergy

The behavior of individual emission sources in time tells us something about the underlying emission source itself. By measuring a source’s flow rate patterns, its intermittency (periodic or random?) and location on a site, it becomes straightforward to distinguish between a constant fugitive emission, a normal process emission and a one-time event. As a continuous monitor, QLM’s Quantum Gas Lidar makes it possible to gather time-series information on the emission source – and when combined with the lidar’s measured geospatial and visual information of the source – it becomes easy to determine what corrective actions to take, and in what priority order. This lets operators answer the “where, when, what and how much?” questions about their emissions. Below we see several individual emission events (isolated and color coded because of their unique spatial location) that sometimes overlap in time, and have different flow rates, durations and temporal patterns. In the QLM Cloud platform, these quantitative lidar measurements can be summed for individual pieces of equipment for OGMP Level 4 reporting or summed over the entire site for OGMP Level 5 reporting. #naturalgas #lidar #oilgas #oilandgas #oilandgasindustry #energy #methanereduction #wastewater #wastewatertreatment #biomethane #methane

Plume of the Week! Our customers don’t ALWAYS need to dig into individual plume measurement details and imagery, but when they do…. we have a search tool for that! …continuing our QLM Cloud workflow walkthrough, here we show yet another way to find, review and export our lidar data. This browser provides live search and sort functions, making it easy to locate measurements at a particular location or time, or via other searchable attributes – and many won’t be plumes, but rather data showing there were no emissions at that time and place. The tool allows tagging of individual or groups of measurements for driving follow-up/repair workflows or for associating measurements with specific events. The data can be individually exported or viewed from this screen, or it can be opened for detailed analysis in the emission viewer screen we showed last week. This search engine also underpins our full reporting capability, but to learn more about THAT, you’ll have to join us again next week! #methane #naturalgas #oilgas #oilandgas #oilandgasindustry #methanereduction #wastewater #wastewatertreatment #biomethane

Some contend that understanding the technological nuances of LiDAR (Light Detection and Ranging) and MUD® (Mapped Underworld Dimension) is essential to selecting the most suitable sensing method for optimal outcomes. How to decide between LiDAR and MUD® data? The simple answer: you don’t have to pick one over the other. MUD® technology fuses LiDAR and SAR data and then visualizes the once diverse datasets into one, comprehensive analytics package. Taken along a complex section of rail, this image demonstrates Auracle’s ability to fuse LiDAR high-resolution data into its MUD® surface, subsurface and underwater SAR technology.  MUD® AI technology forms a unified standard of accuracy and precision, the highest level between dissimilar sensor and instrument surveys. Fused LiDAR and MUD® data means that measurements taken at any location, in this example, along the entire rail network, have the same accuracies and precision. This new fused data set also easily ingests other geolocated data, such as drill log, geophysical or instrument data.

LiDAR which stands for Light Detection and Ranging, is a remote sensing method that uses light in the form of a pulsed laser to measure ranges (variable distances) to the Earth. It is a non-traditional, cost effective method for obtaining very accurate and highly detailed topographic information. LiDAR data is fully digital and can be processed to provide diverse and highly detailed elevation products for bare earth surface and the features that protrude above the surface, like vegetation and man-made structures. Merging this data with current orthophoto imagery can provide a very accurate and detailed visual representation of the type of land cover within a project area. LiDAR is used to aid in land use planning, as well as, engineering or seismic exploration. Just like imagery, it gives you a look at the ground without having to go on location. You can make measurements of stockpiles, help decide what type of equipment will be needed, or where you should build a new road.

Increased accuracy, cost efficiency, and safety. These are just a few of the many benefits of using LiDAR and machine learning to assess vegetation encroachment around power lines and gas pipelines! https://bit.ly/3YgTlUX