Methane-Producing Microbial Community in a Coal Bed of the Illinois Basin

ABSTRACT A series of molecular and geochemical studies were performed to study microbial, coal bed methane formation in the eastern Illinois Basin. Results suggest that organic matter is biodegraded to simple molecules, such as H2 and CO2, which fuel methanogenesis and the generation of large coal bed methane reserves. Small-subunit rRNA analysis of both the in situ microbial community and highly purified, methanogenic enrichments indicated that Methanocorpusculum is the dominant genus. Additionally, we characterized this methanogenic microorganism using scanning electron microscopy and distribution of intact polar cell membrane lipids. Phylogenetic studies of coal water samples helped us develop a model of methanogenic biodegradation of macromolecular coal and coal-derived oil by a complex microbial community. Based on enrichments, phylogenetic analyses, and calculated free energies at in situ subsurface conditions for relevant metabolisms (H2-utilizing methanogenesis, acetoclastic methanogenesis, and homoacetogenesis), H2-utilizing methanogenesis appears to be the dominant terminal process of biodegradation of coal organic matter at this location.

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Reservoir Pressure of Coal-Bed Methane Prediction Research Based on Analysis Method by Neural Net-Work

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.756-759.4758 ◽

2013 ◽

Vol 756-759 ◽

pp. 4758-4762

Author(s):

Xing Peng Jing

Keyword(s):

Neural Network ◽

In Situ Stress ◽

Coal Bed ◽

Coal Bed Methane ◽

Neural Net ◽

Reservoir Pressure ◽

Neural Network Prediction ◽

Quantitative Results ◽

Network Prediction

In Order to Achieve Accurate Quantitative Results of Parameters for Reservoir Pressure of Coal-Bed Methane, Neural Network Prediction Analytic Method is Adopted to Predict the Reservoir Pressure of Coal-Bed Methane. the Main Controlling Factors such as Conformation Stress, Buried Depth, in-Situ Stress and Permeability are Investigated. Mathematical Models of Neural Network of Reservoir Pressure of Coal-Bed Methane of Mathematical Analysis and System Architecture are Established; Taking the Qinshui Basin Coal Seam as Example to Forecast and use Reservoir Pressure of Coal-Bed Methane. Projections Show that: the use of Neural Network Prediction of Reservoir Pressure of Coal-Bed Methane is Feasible; Neural Network Method Makes up a Mathematical Point of Linear and Regularity in Order to Solve the Non-Linear Complex Relationship between the Input and Output Parameter Variables.

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Methane-Producing Microbial Community in a Coal Bed of the Illinois Basin

Applied and Environmental Microbiology ◽

10.1128/aem.00856-08 ◽

2008 ◽

Vol 74 (12) ◽

pp. 3918-3918 ◽

Cited By ~ 4

Author(s):

Dariusz Strąpoć ◽

Flynn W. Picardal ◽

Courtney Turich ◽

Irene Schaperdoth ◽

Jennifer L. Macalady ◽

...

Keyword(s):

Microbial Community ◽

Coal Bed ◽

Illinois Basin

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Estimation of In-situ Stress and Coal Bed Methane Potential of Coal Seams from Analysis of Well Logs, Ground Mapping and Laboratory Data in Central Part of Jharia Coalfield—An Overview

Springer Geology - Petroleum Geosciences: Indian Contexts ◽

10.1007/978-3-319-03119-4_6 ◽

2015 ◽

pp. 143-173 ◽

Cited By ~ 7

Author(s):

Prabir Kumar Pal ◽

Suman Paul ◽

Rima Chatterjee

Keyword(s):

Laboratory Data ◽

In Situ Stress ◽

Well Logs ◽

Coal Bed ◽

Coal Bed Methane ◽

Coal Seams ◽

Jharia Coalfield ◽

Methane Potential

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Numerical simulation of the in situ stress in a high-rank coal reservoir and its effect on coal-bed methane well productivity

Interpretation ◽

10.1190/int-2017-0183.1 ◽

2018 ◽

Vol 6 (2) ◽

pp. T271-T281 ◽

Cited By ~ 11

Author(s):

Shuai Yin ◽

Airong Li ◽

Qiang Jia ◽

Wenlong Ding ◽

Yanxia Li

Keyword(s):

Stress Field ◽

In Situ Stress ◽

Coal Bed ◽

Coal Bed Methane ◽

Small Displacement ◽

Small Scale ◽

Burial Depth ◽

Single Well ◽

Coal Reservoir

In situ stress has an important influence on coal reservoir permeability, fracturing, and production capacity. In this paper, fracturing testing, imaging logging, and 3D finite-element simulation were used to study the current in situ stress field of a coal reservoir with a high coal rank. The results indicated that the horizontal stress field within the coal reservoir is controlled by the burial depth, folding, and faulting. The [Formula: see text] and [Formula: see text] values within the coal reservoir are 1–2.5 MPa higher than those within the clastic rocks of the roof and floor. The [Formula: see text]–[Formula: see text] values of the coal reservoir are generally between 2 and 6 MPa and increase with burial depth. When the [Formula: see text]–[Formula: see text] value is less than 5 MPa, production from a single well is high, but when the [Formula: see text]–[Formula: see text] value is greater than 5 MPa, production from a single well is low. In addition, the accumulated water production is high when the [Formula: see text]–[Formula: see text] value is greater than 5 MPa, demonstrating that a higher [Formula: see text]–[Formula: see text] value allows the hydraulic fractures to more easily penetrate the roof and floor of the coal seam. In coal-bed methane development regions with high [Formula: see text]–[Formula: see text] values, repeated fracturing using the small-scale plug removal method — which is a fracturing method that uses a small volume of liquid, small displacement, and low sand concentration — is suggested.

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Phylogenetic Characterization and In Situ Detection of a Cytophaga-Flexibacter-Bacteroides Phylogroup Bacterium in Tuber borchii Vittad. Ectomycorrhizal Mycelium

Applied and Environmental Microbiology ◽

10.1128/aem.66.11.5035-5042.2000 ◽

2000 ◽

Vol 66 (11) ◽

pp. 5035-5042 ◽

Cited By ~ 63

Author(s):

Elena Barbieri ◽

Lucia Potenza ◽

Ismaela Rossi ◽

Davide Sisti ◽

Giovanna Giomaro ◽

...

Keyword(s):

16S Rrna ◽

16S Rdna ◽

Direct Sequencing ◽

Phylogenetic Analyses ◽

Mycorrhizal Fungus ◽

Rrna Gene ◽

Small Subunit Rrna ◽

Tuber Borchii ◽

In Situ Detection

ABSTRACT Mycorrhizal ascomycetous fungi are obligate ectosymbionts that colonize the roots of gymnosperms and angiosperms. In this paper we describe a straightforward approach in which a combination of morphological and molecular methods was used to survey the presence of potentially endo- and epiphytic bacteria associated with the ascomycetous ectomycorrhizal fungus Tuber borchii Vittad. Universal eubacterial primers specific for the 5′ and 3′ ends of the 16S rRNA gene (16S rDNA) were used for PCR amplification, direct sequencing, and phylogenetic analyses. The 16S rDNA was amplified directly from four pure cultures of T. borchii Vittad. mycelium. A nearly full-length sequence of the gene coding for the prokaryotic small-subunit rRNA was obtained from each T. borchii mycelium studied. The 16S rDNA sequences were almost identical (98 to 99% similarity), and phylogenetic analysis placed them in a single unique rRNA branch belonging to theCytophaga-Flexibacter-Bacteroides (CFB) phylogroup which had not been described previously. In situ detection of the CFB bacterium in the hyphal tissue of the fungus T. borchii was carried out by using 16S rRNA-targeted oligonucleotide probes for the eubacterial domain and the Cytophaga-Flexibacter phylum, as well as a probe specifically designed for the detection of this mycelium-associated bacterium. Fluorescent in situ hybridization showed that all three of the probes used bound to the mycelium tissue. This study provides the first direct visual evidence of a not-yet-cultured CFB bacterium associated with a mycorrhizal fungus of the genusTuber.

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