Principal areas of oil, natural gas, and coal production in the northern part of the Front Range, Colorado

2005 ◽  
Keyword(s):  
Natural Gas ◽  
Coal Production ◽  
Front Range

Detection Of The Oil, Natural Gas, And Coal Production Infrastructure By Magnetic Surveys, Front Range Of Colorado

2001 ◽  
Author(s):  
Neil S. Fishman ◽  
Maryla Deszcz-Pan ◽  
Robert P. Kucks ◽  
Stephen B. Roberts ◽  
Debra K. Higley ◽  
...  
Keyword(s):  
Natural Gas ◽  
Coal Production ◽  
Front Range

Detection of the Oil, Natural Gas, and Coal Production Infrastructure by Magnetic Surveys, Front Range of Colorado

2001 ◽  
Author(s):  
Neil S. Fishman ◽  
Maryla Deszcz‐Pan ◽  
Robert P. Kucks ◽  
Stephen B. Roberts ◽  
Debra K. Higley ◽  
...  
Keyword(s):  
Natural Gas ◽  
Coal Production ◽  
Front Range

scholarly journals The volatility of natural gas prices - Structural shocks and influencing factors

2021 ◽  
Vol 37 (4) ◽  
Author(s):  
L. Stajic ◽  
B. Đorđević ◽  
S. Ilić ◽  
D. Brkić
Keyword(s):  
Natural Gas ◽  
Crude Oil ◽  
Energy Production ◽  
Coal Production ◽  
Total Production ◽  
Structural Shocks ◽  
The World ◽  
Natural Gas Prices ◽  
Oil And Natural Gas ◽  
Gas Market

The paper examines the primary drivers and factors influencing the volatility of natural gas prices in the world from January 2007 to July 2020. In addition to the narrow dependence between crude oil and natural gas prices, the influence of renewable energy production and coal production on the price of natural gas has been studied. For that purpose, the method of multiple linear regression was used. The results show that the volatility of natural gas prices significantly depends on the type of the shock in the natural gas market, and that the total production of energy from renewable sources, production of coal and natural gas and the price of crude oil have a significant impact on the price of gas.

Acyl Peroxy Nitrates Link Oil and Natural Gas Emissions to High Ozone Abundances in the Colorado Front Range During Summer 2015

2019 ◽  
Vol 124 (4) ◽  
pp. 2336-2350 ◽  
Author(s):  
Jakob Lindaas ◽  
Delphine K. Farmer ◽  
Ilana B. Pollack ◽  
Andrew Abeleira ◽  
Frank Flocke ◽  
...  
Keyword(s):  
Natural Gas ◽  
Colorado Front Range ◽  
Front Range ◽  
Gas Emissions ◽  
Peroxy Nitrates ◽  
Oil And Natural Gas ◽  
Natural Gas Emissions

scholarly journals Impacts of physical parametrization on prediction of ethane concentrations for oil and gas emissions

2018 ◽  
Author(s):  
Maryam Abdi-Oskouei ◽  
Gabriele Pfister ◽  
Frank Flocke ◽  
Negin Sobhani ◽  
Pablo Saide ◽  
...  
Keyword(s):  
Natural Gas ◽  
Power Plants ◽  
Oil And Gas ◽  
Model Performance ◽  
Horizontal Resolution ◽  
Emission Rates ◽  
Front Range ◽  
Near Surface ◽  
Airborne Measurements ◽  
The Impact

Abstract. Recent increases in the Natural Gas (NG) production through hydraulic fracturing have called into question the climate benefit of switching from coal-fired to natural gas-fired power plants. Higher than expected levels of methane, Non-Methane Hydrocarbons (NMHC), and NOx have been observed in areas close to oil and NG operation facilities. Large uncertainties in the oil and NG operation emission inventories reduce the confidence level in the impact assessment of such activities on regional air quality and climate, as well as development of effective mitigation policies. In this work, we used ethane as the indicator of oil and NG emissions and explored the sensitivity of ethane to different physical parametrizations and simulation set-ups in the Weather Research and Forecasting with Chemistry (WRF-Chem) model using the U.S. EPA National Emission Inventory (NEI-2011). We evaluated the impact of the following configurations and parameterizations on predicted ethane concentrations: Planetary Boundary Layer (PBL) parametrizations, daily re-initialization of meteorological variables, meteorological initial and boundary conditions, and horizontal resolution. We assessed the uncertainties around oil and NG emissions by using measurements from the FRAPPÉ and DISCOVER-AQ campaigns over the Northern Front Range Metropolitan Area (NFRMA) in summer 2014. The sensitivity analysis shows up to 57.3 % variability in normalized mean bias of the near-surface modeled ethane across the simulations, which highlights the important role of model configurations on the model performance and ultimately the assessment of emissions. Comparison between airborne measurements and the sensitivity simulations indicates that the model-measurement bias of ethane ranged from −14.9 ppb to −8.2 ppb (NMB ranged from −80.5 % to −44 %) in regions close to oil and NG activities. Under-prediction of ethane concentration in all sensitivity runs suggests an actual under-estimation of the oil and NG emissions in the NEI-2011. Increase of oil and NG emissions in the simulations partially improved the model performance in capturing ethane and lumped alkanes (HC3) concentrations but did not impact the model performance in capturing benzene, toluene, and xylene which is due to very low emission rates of these species from oil and NG sector in the NEI-2011.

scholarly journals Atmospheric oil and natural gas hydrocarbon trends in the Northern Colorado Front Range are notably smaller than inventory emissions reductions

Elem Sci Anth ◽  
2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Samuel J. Oltmans ◽  
Lucy C. Cheadle ◽  
Detlev Helmig ◽  
Hélène Angot ◽  
Gabrielle Pétron ◽  
...  
Keyword(s):  
Natural Gas ◽  
Mole Fraction ◽  
Fold Increase ◽  
Gas Production ◽  
Rate Of Change ◽  
Colorado Front Range ◽  
Front Range ◽  
The South ◽  
Emissions Inventory ◽  
Oil And Natural Gas

From 2008 to mid-2016, there was more than a 7-fold increase in oil production and nearly a tripling of natural gas production in the Colorado Denver–Julesburg Basin (DJB). This study utilized air samples collected at the Boulder Atmospheric Observatory (BAO) tower in southwestern Weld County in the DJB to investigate atmospheric mole fraction trends of methane and volatile organic compounds (VOCs). Elevated methane and propane mole fractions and low values (<1) in the ratio of i-pentane to n-pentane at BAO were found to be associated with flow patterns that transport air from the northeast (NE) to east (E) sector to the site, the direction where the primary locations of oil and natural gas (O&NG) extraction and processing activities are located. Median mole fractions of the O&NG tracer propane at BAO were 10 times higher than background values when winds came from the NE quadrant. This contrasts with lower mole fractions of O&NG-related constituents in air parcels arriving at BAO from the south, the direction of the major urban area of Denver. None of O&NG tracers, for example, methane and propane, show statistically significant trends in mole fraction (relative to the background) over the study period in air transported from the DJB. Also, longer term acetylene mole fraction changes were not seen in NE quadrant or south sector samples. A significant decline in the mole fraction ratio of i-pentane to n-pentane in the NE sector data provides evidence of an increasing influence of O&NG on the overall composition of VOCs measured at BAO, a change not seen in measurements from the south (urban) sector. These results suggest that O&NG emissions and resulting atmospheric mole fractions have remained relatively constant over 2008–2016. The behavior in the observations is in contrast to the most recent VOC emissions inventory. While the inventory projects O&NG total VOC emission reductions between 2011 and 2020, of –6.5% per year despite the large production increases, the best estimate of the propane emission rate of change for the DJB-filtered data during 2008–2016 is much smaller, that is, –1.5% per year.

scholarly journals In Pennsylvania, Methane Emissions Higher Than EPA Estimates

Eos ◽  
2019 ◽  
Vol 100 ◽  
Author(s):  
Aaron Sidder
Keyword(s):  
Natural Gas ◽  
Methane Emission ◽  
Methane Emissions ◽  
Gas Production ◽  
Coal Production ◽  
Natural Gas Production

Although methane emission estimates from underground coal production appear to be accurate, the calculated emissions from natural gas production are underreported.

scholarly journals Impacts of physical parameterization on prediction of ethane concentrations for oil and gas emissions in WRF-Chem

2018 ◽  
Vol 18 (23) ◽  
pp. 16863-16883 ◽  
Author(s):  
Maryam Abdi-Oskouei ◽  
Gabriele Pfister ◽  
Frank Flocke ◽  
Negin Sobhani ◽  
Pablo Saide ◽  
...  
Keyword(s):  
Natural Gas ◽  
Power Plants ◽  
Oil And Gas ◽  
Model Performance ◽  
Horizontal Resolution ◽  
Emission Rates ◽  
Front Range ◽  
Near Surface ◽  
Airborne Measurements ◽  
The Impact

Abstract. Recent increases in natural gas (NG) production through hydraulic fracturing have called the climate benefit of switching from coal-fired to natural gas-fired power plants into question. Higher than expected levels of methane, non-methane hydrocarbons (NMHC), and NOx have been observed in areas close to oil and NG operation facilities. Large uncertainties in the oil and NG operation emission inventories reduce the confidence level in the impact assessment of such activities on regional air quality and climate, as well as in the development of effective mitigation policies. In this work, we used ethane as the indicator of oil and NG emissions and explored the sensitivity of ethane to different physical parameterizations and simulation setups in the Weather Research and Forecasting with Chemistry (WRF-Chem) model using the US EPA National Emission Inventory (NEI-2011). We evaluated the impact of the following configurations and parameterizations on predicted ethane concentrations: planetary boundary layer (PBL) parameterizations, daily re-initialization of meteorological variables, meteorological initial and boundary conditions, and horizontal resolution. We assessed the uncertainties around oil and NG emissions using measurements from the FRAPPÉ and DISCOVER-AQ campaigns over the northern Front Range metropolitan area (NFRMA) in summer 2014. The sensitivity analysis shows up to 57.3 % variability in the normalized mean bias of the near-surface modeled ethane across the simulations, which highlights the important role of model configurations on the model performance and ultimately the assessment of emissions. Comparison between airborne measurements and the sensitivity simulations indicates that the model–measurement bias of ethane ranged from −14.9 to −8.2 ppb (NMB ranged from −80.5 % to −44 %) in regions close to oil and NG activities. Underprediction of ethane concentration in all sensitivity runs suggests an actual underestimation of the oil and NG emissions in the NEI-2011. An increase of oil and NG emissions in the simulations partially improved the model performance in capturing ethane and lumped alkanes (HC3) concentrations but did not impact the model performance in capturing benzene, toluene, and xylene; this is due to very low emission rates of the latter species from the oil and NG sector in NEI-2011.

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