Arvind Ravikumar
Biographic Data
| ID | 6822792 |
|---|---|
| NAME | Arvind Ravikumar |
| GIVEN NAMES | Arvind |
| FAMILY NAME | Ravikumar |
| SIGNATURE | RAVIKUMAR A |
| AFFILIATIONS | Harrisburg University of Science and Technology |
| ORCID | 0000-0001-8385-6573 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Opportunities beyond CO2 for climate mitigation
Global liquefied natural gas expansion exceeds demand for coal-to-gas switching in paris compliant pathways
The shift from coal to natural gas in the power sector has led to significant reductions in carbon emissions. The shale revolution that led to this shift is now fueling a global expansion in liquefied natural gas (LNG) export infrastructure. In this work, we assess the viability of global LNG expansion to reduce global carbon emissions through coal-to-gas switching in the power sector under three temperature targets—Paris compliant 1.5 °C and 2 °…
Single-blind test of airplane-based hyperspectral methane detection via controlled releases
Methane leakage from point sources in the oil and gas industry is a major contributor to global greenhouse gas emissions. The majority of such emissions come from a small fraction of “super-emitting” sources. We evaluate the emission detection and quantification capabilities of Kairos Aerospace’s airplane-based hyperspectral imaging methane emission detection system for methane fluxes of 18–1,025 kg per hour of methane (kgh(CH4)). In blinded cont…
Repeated leak detection and repair surveys reduce methane emissions over scale of years
Reducing methane emissions from the oil and gas industry is a critical climate action policy tool in Canada and the US. Optical gas imaging-based leak detection and repair (LDAR) surveys are commonly used to address fugitive methane emissions or leaks. Despite widespread use, there is little empirical measurement of the effectiveness of LDAR programs at reducing long-term leakage, especially over the scale of months to years. In this study, we me…
A methane emissions reduction equivalence framework for alternative leak detection and repair programs
Fugitive methane emissions from the oil and gas sector are typically addressed through periodic leak detection and repair surveys. These surveys, conducted manually using handheld leak detection technologies, are time-consuming. To improve the speed and cost-effectiveness of leak detection, technology developers are introducing innovative solutions using mobile platforms, close-range portable systems, and permanent installations. Many of these ne…
Single-blind inter-comparison of methane detection technologies – results from the Stanford/EDF Mobile Monitoring Challenge
Methane leakage regulations in the US and Canada have spurred the development of new technologies that promise faster and cheaper leak detection for the oil and natural gas industry. Here, we report results from the Stanford/EDF Mobile Monitoring Challenge – the first independent assessment of 10 vehicle-, drone-, and plane-based mobile leak detection technologies. Using single-blind controlled release tests at two locations, we analyze the abili…
Aerial and ground-based optical gas imaging survey of Uinta Basin oil and gas wells
We deployed a helicopter with an infrared optical gas imaging camera to detect hydrocarbon emissions from 3,428 oil and gas facilities (including 3,225 producing oil and gas well pads) in Utah’s Uinta Basin during winter and spring 2018. We also surveyed 419 of the same well pads from the ground. Winter conditions led to poor contrast between emission plumes and the ground, leading to a detection limit for the aerial survey that was between two a…
Designing better methane mitigation policies
Methane—a short-lived and potent greenhouse gas—presents a unique challenge: it is emitted from a large number of highly distributed and diffuse sources. In this regard, the United States’ Environmental Protection Agency (EPA) has recommended periodic leak detection and repair surveys at oil and gas facilities using optical gas imaging technology. This regulation requires an operator to fix all detected leaks within a set time period. Whether suc…
Analyzing multilevel governance in Vietnam
CIFOR and partners will be holding a side event at the Bonn Climate Change Conference on 11 May 2017, with a focus on ‘Re-discovering the magnificent carbon storage potential of wetlands and peatlands’. Find out more here . Who makes land-use decisions, how are those decisions made, and who influences whom, how and why? This working paper is part of a series based on research studying multilevel decision-making institutions and processes. The ser…
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Analyzing multilevel governance in Vietnam
CIFOR and partners will be holding a side event at the Bonn Climate Change Conference on 11 May 2017, with a focus on ‘Re-discovering the magnificent carbon storage potential of wetlands and peatlands’. Find out more here . Who makes land-use decisions, how are those decisions made, and who influences whom, how and why? This working paper is part of a series based on research studying multilevel decision-making institutions and processes. The ser…
Designing better methane mitigation policies
Methane—a short-lived and potent greenhouse gas—presents a unique challenge: it is emitted from a large number of highly distributed and diffuse sources. In this regard, the United States’ Environmental Protection Agency (EPA) has recommended periodic leak detection and repair surveys at oil and gas facilities using optical gas imaging technology. This regulation requires an operator to fix all detected leaks within a set time period. Whether suc…
A methane emissions reduction equivalence framework for alternative leak detection and repair programs
Fugitive methane emissions from the oil and gas sector are typically addressed through periodic leak detection and repair surveys. These surveys, conducted manually using handheld leak detection technologies, are time-consuming. To improve the speed and cost-effectiveness of leak detection, technology developers are introducing innovative solutions using mobile platforms, close-range portable systems, and permanent installations. Many of these ne…
Single-blind inter-comparison of methane detection technologies – results from the Stanford/EDF Mobile Monitoring Challenge
Methane leakage regulations in the US and Canada have spurred the development of new technologies that promise faster and cheaper leak detection for the oil and natural gas industry. Here, we report results from the Stanford/EDF Mobile Monitoring Challenge – the first independent assessment of 10 vehicle-, drone-, and plane-based mobile leak detection technologies. Using single-blind controlled release tests at two locations, we analyze the abili…
Aerial and ground-based optical gas imaging survey of Uinta Basin oil and gas wells
We deployed a helicopter with an infrared optical gas imaging camera to detect hydrocarbon emissions from 3,428 oil and gas facilities (including 3,225 producing oil and gas well pads) in Utah’s Uinta Basin during winter and spring 2018. We also surveyed 419 of the same well pads from the ground. Winter conditions led to poor contrast between emission plumes and the ground, leading to a detection limit for the aerial survey that was between two a…
Repeated leak detection and repair surveys reduce methane emissions over scale of years
Reducing methane emissions from the oil and gas industry is a critical climate action policy tool in Canada and the US. Optical gas imaging-based leak detection and repair (LDAR) surveys are commonly used to address fugitive methane emissions or leaks. Despite widespread use, there is little empirical measurement of the effectiveness of LDAR programs at reducing long-term leakage, especially over the scale of months to years. In this study, we me…
Single-blind test of airplane-based hyperspectral methane detection via controlled releases
Methane leakage from point sources in the oil and gas industry is a major contributor to global greenhouse gas emissions. The majority of such emissions come from a small fraction of “super-emitting” sources. We evaluate the emission detection and quantification capabilities of Kairos Aerospace’s airplane-based hyperspectral imaging methane emission detection system for methane fluxes of 18–1,025 kg per hour of methane (kgh(CH4)). In blinded cont…
Opportunities beyond CO2 for climate mitigation
Global liquefied natural gas expansion exceeds demand for coal-to-gas switching in paris compliant pathways
The shift from coal to natural gas in the power sector has led to significant reductions in carbon emissions. The shale revolution that led to this shift is now fueling a global expansion in liquefied natural gas (LNG) export infrastructure. In this work, we assess the viability of global LNG expansion to reduce global carbon emissions through coal-to-gas switching in the power sector under three temperature targets—Paris compliant 1.5 °C and 2 °…
Atmospheric and Environmental Gas Dynamics (7 works) · Environmental Science (7 works) · Engineering (6 works) · Greenhouse gas (5 works) · Methane (4 works) · Waste management (4 works) · Business (3 works) · Computer Science (3 works) · Environmental Engineering (3 works) · Fossil fuel (3 works)