CarbonAi’s OttoTask: Streamlining remote task assignment, tracking and verification
Presenter: Yoeri Geerits, Head of Growth, CarbonAi
OttoTasks is a workflow automation tool that allows for the automated assignment and tracking of remote field tasks and the collection of field data. Industry agnostic, and implemented in both GHG and non-GHG applications, OttoTasks uses several features, such as geolocation, time-stamping and user authentication to track and verify not only the completion of field tasks but also the field data collected by their fulfillment.
Within the GHG application, OttoTasks can provide assurance to validators, verifiers, and regulators that the information and data collected by a third party during the remote site visit is certain in its origin, accurate in information and transparent not only to the validator.
Will show multiple case studies in the GHG and non-GHG space that will showcase the efficiencies it drives and in addition addresses the first-mile data problem for verification.
Emitting less – How to Take Advantage of Reservoir Benefits from Multiple, Proven EOR Mechanisms with DCSG and ACL in Wells That are not Thermally Completed
Presenter: Gene Wasylchuk, Interim CEO, GERI
GERI will discuss Direct Contact Steam Generation (DCSG), a technique that simultaneously injects steam and hot combustion flue gases into an oil reservoir. The process offers a decreased carbon intensity solution to enhance oil production by reducing oil viscosity through heat, repressuring the reservoir with flue gases, improving solubility with residual CO2 and reducing heat loss to the overburden by creating an insulating blanket of non-condensable flue gases at the top of the reservoir. As GERI’s DCSG has a thermal process associated with it, GERI has also developed an Annular Cooling Loop (ACL) technology for wells that are not thermally cased and cemented in order to provide a widespread opportunity to use DCSG.
Unlocking the power of satellite data in global emissions monitoring
Presenter: Stanley Opara, Solutions Architect, GHGSat
GHGSat launched its first satellite in 2016 revolutionizing the remote sensing of greenhouse gas emissions using satellites . The constellation has grown to comprise 11 methane detecting satellites with a field of view of 12km x 12km, spatial resolution of 25m x 25m and a detection threshold of 100kg/hr. Various independent third-party technology validations have been performed over the years with a recent single blind test conducted by Stanford University proving the efficacy of GHGSat’s satellites in detecting emissions of various sizes and in various environmental conditions. In November 2023, GHGSat launched the world’s first commercial carbon dioxide-detecting satellite, expanding the company’s greenhouse gas monitoring capabilities which includes the precise cost-effective measurement and attribution of methane and CO2 emissions from individual industrial facilities, an improved revisit time of 1-2 days, and an expanded capacity to cover more sites. At COP28 in Dubai, GHGSat set a bold target of measuring methane and carbon dioxide emissions at every major industrial site worldwide, every day, by 2026 . In addition to satellites, GHGSat also operates an airborne crew that conducts aerial methane detection and monitoring surveys using aircraft-mounted sensors with detection capability of ~10kg/hr and spatial resolution of 1.0m – 1.5m.
Advances in Multi-Spectral Optical Gas Imaging for Leak Detection and Quantification
Presenter: Dr. Ram Hashmonay, Chief Innovation Scientist, Opgal
Optical Gas Imaging (OGI) technology has been proven to be a very effective tool for locating small leaks and fugitive emissions in petroleum refineries and other Oil & Gas facilities. Opgal’s Unique and patented “Hot” filter OGI technology allows the quick replacement of the bandpass filter, for optimizing detection and quantification of various gases and ranges, without compromising sensitivity. This presentation will discuss the many advantages of having a “hot” filter cooled OGI camera for leak detection and quantification, both for portable (handheld and drone) and fixed OGI technologies. Passive fixed OGI technology is very sensitive to environmental and scene conditions and therefore detection sensitivity and quantification accuracy are strongly dependent on distance, absolute humidity, visibility (particulate matter load), sun angle, sky clous coverage, and scene background temperatures. Using this multi-spectral capability, Opgal has designed the fixed EyeCGas 24/7 system’s hardware and overall approach, to address all issues of false alerts and strong dependence to environmental and scene conditions.