Fluid inclusion and stable isotopic studies of thermochemical sulphate reduction from Burnt Timber and Crossfield East gas fields in Alberta, Canada

2001 ◽  
Vol 49 (1) ◽  
pp. 149-164 ◽  
Author(s):  
C. Yang
Keyword(s):  
Fluid Inclusion ◽  
Sulphate Reduction ◽  
Stable Isotopic ◽  
Isotopic Studies ◽  
Gas Fields

Fluid evolution of the Jiawula Ag–Pb–Zn deposit, Inner Mongolia: mineralogical, fluid inclusion, and stable isotopic evidence

2012 ◽  
Vol 55 (2) ◽  
pp. 204-224 ◽  
Author(s):  
De-Gao Zhai ◽  
Jia-Jun Liu ◽  
Jian-Ping Wang ◽  
Mei-Juan Yao ◽  
Sheng-Hua Wu ◽  
...  
Keyword(s):  
Fluid Inclusion ◽  
Inner Mongolia ◽  
Isotopic Evidence ◽  
Fluid Evolution ◽  
Stable Isotopic

scholarly journals Isotopic signatures of major methane sources in the coal seam gas fields and adjacent agricultural districts, Queensland, Australia

2021 ◽  
Vol 21 (13) ◽  
pp. 10527-10555
Author(s):  
Xinyi Lu ◽  
Stephen J. Harris ◽  
Rebecca E. Fisher ◽  
James L. France ◽  
Euan G. Nisbet ◽  
...  
Keyword(s):  
Coal Seam ◽  
Treatment Plant ◽  
Source Attribution ◽  
Multiple Sources ◽  
Coal Seam Gas ◽  
Isotopic Signatures ◽  
Keeling Plot ◽  
Stable Isotopic ◽  
Close Proximity ◽  
Gas Fields

Abstract. In regions where there are multiple sources of methane (CH4) in close proximity, it can be difficult to apportion the CH4 measured in the atmosphere to the appropriate sources. In the Surat Basin, Queensland, Australia, coal seam gas (CSG) developments are surrounded by cattle feedlots, grazing cattle, piggeries, coal mines, urban centres and natural sources of CH4. The characterization of carbon (δ13C) and hydrogen (δD) stable isotopic composition of CH4 can help distinguish between specific emitters of CH4. However, in Australia there is a paucity of data on the various isotopic signatures of the different source types. This research examines whether dual isotopic signatures of CH4 can be used to distinguish between sources of CH4 in the Surat Basin. We also highlight the benefits of sampling at nighttime. During two campaigns in 2018 and 2019, a mobile CH4 monitoring system was used to detect CH4 plumes. Sixteen plumes immediately downwind from known CH4 sources (or individual facilities) were sampled and analysed for their CH4 mole fraction and δ13CCH4 and δDCH4 signatures. The isotopic signatures of the CH4 sources were determined using the Keeling plot method. These new source signatures were then compared to values documented in reports and peer-reviewed journal articles. In the Surat Basin, CSG sources have δ13CCH4 signatures between −55.6 ‰ and −50.9 ‰ and δDCH4 signatures between −207.1 ‰ and −193.8 ‰. Emissions from an open-cut coal mine have δ13CCH4 and δDCH4 signatures of -60.0±0.6 ‰ and -209.7±1.8 ‰ respectively. Emissions from two ground seeps (abandoned coal exploration wells) have δ13CCH4 signatures of -59.9±0.3 ‰ and -60.5±0.2 ‰ and δDCH4 signatures of -185.0±3.1 ‰ and -190.2±1.4 ‰. A river seep had a δ13CCH4 signature of -61.2±1.4 ‰ and a δDCH4 signature of -225.1±2.9 ‰. Three dominant agricultural sources were analysed. The δ13CCH4 and δDCH4 signatures of a cattle feedlot are -62.9±1.3 ‰ and -310.5±4.6 ‰ respectively, grazing (pasture) cattle have δ13CCH4 and δDCH4 signatures of -59.7±1.0 ‰ and -290.5±3.1 ‰ respectively, and a piggery sampled had δ13CCH4 and δDCH4 signatures of -47.6±0.2 ‰ and -300.1±2.6 ‰ respectively, which reflects emissions from animal waste. An export abattoir (meat works and processing) had δ13CCH4 and δDCH4 signatures of -44.5±0.2 ‰ and -314.6±1.8 ‰ respectively. A plume from a wastewater treatment plant had δ13CCH4 and δDCH4 signatures of -47.6±0.2 ‰ and -177.3±2.3 ‰ respectively. In the Surat Basin, source attribution is possible when both δ13CCH4 and δDCH4 are measured for the key categories of CSG, cattle, waste from feedlots and piggeries, and water treatment plants. Under most field situations using δ13CCH4 alone will not enable clear source attribution. It is common in the Surat Basin for CSG and feedlot facilities to be co-located. Measurement of both δ13CCH4 and δDCH4 will assist in source apportionment where the plumes from two such sources are mixed.

On the origin of hydrocarbons reservoired in Bombay High: stable isotopic studies of natural gases

1991 ◽  
Vol 5 (1-4) ◽  
pp. 339-343 ◽  
Author(s):  
V. Banerjie ◽  
A.K. Mittal ◽  
A.K. Gupta ◽  
A.K. Balyan ◽  
D.R. Chaudhary
Keyword(s):  
Natural Gases ◽  
Stable Isotopic ◽  
Isotopic Studies

scholarly journals Biogeography of the Cretaceous / Tertiary planktic foraminiferal faunal transition

1992 ◽  
Vol 6 ◽  
pp. 193-193
Author(s):  
Norman Macleod ◽  
Gerta Keller
Keyword(s):  
Relative Abundance ◽  
High Latitude ◽  
Mirror Image ◽  
Abundance Patterns ◽  
Biogeographic Provinces ◽  
Stable Isotopic ◽  
Isotopic Studies ◽  
Global Cooling ◽  
Northern High Latitude ◽  
Southern High Latitude

Quantitative analysis of a high resolution latest Maastrichtian through Danian planktic foraminiferal database reveals that degrees of endemism characterizing tropical Tethyan and both northern and southern high latitude faunas throughout this interval are much lower than previously supposed. In terms of temporal patterns in the relative abundance of cosmopolitan species, the transition from the diverse globotruncanid-dominated late Maastrichtian assemblage (I), characterizing the lower portion of the A. mayaroensis / P. deformis zones prior to the base of Chron 29, to the diverse globigerinid-dominated Danian assemblage (V) found in Zone P1c and above, takes place through the successive rise and fall of at least three intermediate faunal associations. These include: a mixed assemblage (II) that delineates an interval from the base of Chron 29 to lowermost Danian Zone PO and is dominated by heterohelicids, hedbergellids, and globigerinelloids; a guembelitrid-dominated assemblage (III) that ranges through lower Danian zones P0 - P1a; and a chiloguembelinid-dominated assemblage (IV) that characterizes lower Danian zones P1a through P1b.Species whose differential relative abundances identify them as more or less endemic to a northern high latitude biogeographic province include Guembelitria danica (assemblage III), Chiloguembelitria waiparensis (assemblage IV), and Eoglobigerina danica (assemblage V), while southern high latitude forms with endemic abundance acmes include C. waiparensis (assemblage III) and several globigerine species (e.g., Globigerina extensa, Igorina spiralis, Globigerina aequiensis, Globigerina chasconoma). Tropical tethyan abundance endemics include Heterohelix navarroensis and Pseudoguembelina costulata (fauna II), along with both Parvularugoglobigerina eugubina and Woodringina hornerstownensis (assemblage IV). Overall, levels of planktic foraminiferal endemism were quite low throughout the upper Maastrichtian A. mayaroensis / P. deformis zones, across the K/T boundary, and into the Danian Zone P0. Endemism increased gradually throughout zones P1a and P1b with the addition of species to both northern high latitude and tropical tethyan biogeographic provinces, and then increased much more substantially in Zone P1c with the addition of the southern high latitude globigerine species.Our analysis has also uncovered several instances of dramatic abundance increases for individual taxa occurring significantly earlier in the southern high latitudes (e.g., Chiloguembelina waiparensis). Associated with these diachronous relative abundance patterns, stable isotopic studies indicate that environmental conditions (e.g., temperature, organic productivity) over this K/T transition interval were more stable in the southern ocean than in tropics. Finally, our data reveals a distinct difference and mirror-image ordering in both the disappearance and successive reappearance of the planktic foraminiferal test morphotypes (e.g., keeled trochospires, globigerine trochospires, forms with serially arranged chambers) that prevailed in each faunal assemblage. We believe that these data can best be accounted for by accepting a causal model of geographically heterogeneous deterioration and subsequent restructuring of marine planktic habitats that took place over an extended interval of time and was ultimately driven by a synergistic combination of climatic (global cooling), oceanographic (sea level change) and tectonic factors.

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