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Isotopic insights into microbial sulfur cycling in oil reservoirs

Overview of attention for article published in Frontiers in Microbiology, September 2014
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Title
Isotopic insights into microbial sulfur cycling in oil reservoirs
Published in
Frontiers in Microbiology, September 2014
DOI 10.3389/fmicb.2014.00480
Pubmed ID
Authors

Christopher G. Hubbard, Yiwei Cheng, Anna Engelbrekston, Jennifer L. Druhan, Li Li, Jonathan B. Ajo-Franklin, John D. Coates, Mark E. Conrad

Abstract

Microbial sulfate reduction in oil reservoirs (biosouring) is often associated with secondary oil production where seawater containing high sulfate concentrations (~28 mM) is injected into a reservoir to maintain pressure and displace oil. The sulfide generated from biosouring can cause corrosion of infrastructure, health exposure risks, and higher production costs. Isotope monitoring is a promising approach for understanding microbial sulfur cycling in reservoirs, enabling early detection of biosouring, and understanding the impact of souring. Microbial sulfate reduction is known to result in large shifts in the sulfur and oxygen isotope compositions of the residual sulfate, which can be distinguished from other processes that may be occurring in oil reservoirs, such as precipitation of sulfate and sulfide minerals. Key to the success of this method is using the appropriate isotopic fractionation factors for the conditions and processes being monitored. For a set of batch incubation experiments using a mixed microbial culture with crude oil as the electron donor, we measured a sulfur fractionation factor for sulfate reduction of -30‰. We have incorporated this result into a simplified 1D reservoir reactive transport model to highlight how isotopes can help discriminate between biotic and abiotic processes affecting sulfate and sulfide concentrations. Modeling results suggest that monitoring sulfate isotopes can provide an early indication of souring for reservoirs with reactive iron minerals that can remove the produced sulfide, especially when sulfate reduction occurs in the mixing zone between formation waters (FW) containing elevated concentrations of volatile fatty acids (VFAs) and injection water (IW) containing elevated sulfate. In addition, we examine the role of reservoir thermal, geochemical, hydrological, operational and microbiological conditions in determining microbial souring dynamics and hence the anticipated isotopic signatures.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
United Kingdom 1 1%
Germany 1 1%
Canada 1 1%
Unknown 81 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 26%
Student > Ph. D. Student 18 21%
Student > Master 12 14%
Student > Doctoral Student 5 6%
Student > Bachelor 4 5%
Other 15 18%
Unknown 9 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 25%
Earth and Planetary Sciences 14 16%
Environmental Science 9 11%
Biochemistry, Genetics and Molecular Biology 8 9%
Engineering 5 6%
Other 17 20%
Unknown 11 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 September 2014.
All research outputs
#15,306,466
of 22,764,165 outputs
Outputs from Frontiers in Microbiology
#15,067
of 24,656 outputs
Outputs of similar age
#144,896
of 250,225 outputs
Outputs of similar age from Frontiers in Microbiology
#106
of 158 outputs
Altmetric has tracked 22,764,165 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,656 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 250,225 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 158 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.