Secondary gas emissions during coal desorption, Marathon Grassim Oskolkoff-1 Well, Cook Inlet Basin, Alaska: implications for resource assessment

Barker, Charles E.; Dallegge, Todd A.

doi:10.2113/gscpgbull.54.3.273

Cited by 17 publications

(3 citation statements)

References 30 publications

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“…This intuitively plausible result, the stronger the force the shorter the time, was confirmed by later studies of single-stranded and double-stranded DNA translocation through solid and α-hemolysin pores. ,, Meller et al found strongly nonlinear dependence of the polymer velocity on the applied voltage. On the theoretical front, numerous kinetic MC and LD/BD simulations in 2D and 3D with the “local” driving force confirmed the inverse proportional correlation ξ ≈ 1. ,,− Ikonen et al in their MD and theoretical study of polymer translocation found a nonuniform correlation between τ and E , with ξ ≈ 0.9 for weaker driving forces and ξ ≈ 1 for stronger forces. They concluded that translocation time could not be described with a universal set of scaling exponents and stressed the importance of pore–polymer interactions that contributed substantially to the nonuniversal polymer behavior.…”

Section: Driving Force Effect In Good Solventmentioning

confidence: 95%

Polymer Translocation through a Nanopore: DPD Study

2013

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Translocation of a polymer chain through a narrow pore is explored using 3D explicit solvent dissipative particle dynamics simulation. We study the dependence of the translocation dynamics and translocation time τ on the chain length N, driving force magnitude E, and solvent quality. Two types of driving forces are considered: uniform hydrostatic force, which is applied equally to the chain and solvent particles, and uniform electrostatic force, which is applied selectively to the charged particles in the chain and oppositely charged counterions in the solvent. We concluded that the scaling correlations τ ~ E(-ξ) and τ ~ N(β) are valid only for coil-like chains. For globular chains, the exponents ξ and β could not be identified with a reasonable accuracy. While the found value of ξ agrees with published experimental results and does not depend on the driving force type, the exponent β depends on the driving force and solvent quality. This is explained by nonequilibrium effects, as in the systems considered, the time of translocation is comparable with the time of chain relaxation. These effects, manifested in the changes of chain conformation in the process of translocation, were analyzed on the basis of the variation of the gyration radii of cis and trans segments of the chain in normal and lateral directions. A prominent chain expansion was observed for coils and was insignificant for globules. This work demonstrates the feasibility of the 3D dissipative particle dynamics modeling of translocation phenomena and accounting for the electrostatic interactions with explicit counterions, as well as for the solvent quality, in a computationally efficient manner.

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Section: Driving Force Effect In Good Solventmentioning

confidence: 95%

Polymer Translocation through a Nanopore: DPD Study

2013

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“…Diagnostic C-H isotopic fields described by Schoell (1980), , and Whiticar (1999) and argued to represent hydrogenotrophic methanogenesis, methyl-type fermentation (acetoclastic/methylotrophic methanogenesis), and thermogenic gas ( Figure 3b) have been widely applied to coal and shale gas systems (e.g. Thielemann et al, 2004;Zhang et al, 2005;Barker and Dallegge, 2006;Faiz and Hendry, 2006;Strąpoć et al, 2007Strąpoć et al, , 2011aButland and Moore, 2008;Warwick et al, 2008;Flores et al, 2008;Kotarba and Pluta, 2009;Cheung et al, 2010;Kinnon et al, 2010;Dawson et al, 2012;Ni et al, 2012;Susilawati et al, 2013;Pashin et al, 2014;Baublys et al, 2015). One advantage to this approach is that no water analysis is required.…”

Section: Implications Of Hydrogen Transfer For Combined C-h Fingerprimentioning

confidence: 99%

Microbial methane from in situ biodegradation of coal and shale: A review and reevaluation of hydrogen and carbon isotope signatures

et al. 2017

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Stable carbon and hydrogen isotope signatures of methane, water, and inorganic carbon are widely utilized in natural gas systems for distinguishing microbial and thermogenic methane and for delineating methanogenic pathways (acetoclastic, hydrogenotrophic, and/or methylotrophic methanogenesis). Recent studies of coal and shale gas systems have characterized in situ microbial communities and provided stable isotope data (δD-CH 4 , δD-H 2 O, δ 13 C-CH 4 , and δ 13 C-CO 2) from a wider range of environments than available previously. Here we review the principal biogenic methane-yielding pathways in coal beds and shales and the isotope effects imparted on methane, document the uncertainties and inconsistencies in established isotopic fingerprinting techniques, and identify the knowledge gaps in

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“…Hard coal has a strongly heterogeneous capillary structure, containing pores ranging from molecular sizes to fissures and cleats revealed macroscopically. That is why in practical applications the problem of gas sorption and diffusion kinetics is considered to involve such phenomena as gas migration through the coalbed, location of gaseous molecules in the form of vapour on the coal surface and in the bulk of coal (gas storage in coalbeds) and selective sorption of gases from mine gas mixtures [1,16]. Comparison of several coal types presents a major difficulty and as their parameter may vary from one coal deposit to another and from one location to another within the same colliery.…”

Section: Introductionmentioning

confidence: 99%

Prognosticating fire hazards in goafs in Polish collieries

Zarębska¹,

Baran²,

Cygankiewicz³

et al. 2012

drill

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has been carried out of the AGH project No. 11.11.210.244 and within the framework of research task No. 3 under the title Elaboration of the Mesaurement Principles and Research of Mine Air Parameters for the Assessment of Methane and Fire Hazard in Underground Mining Hard Coal executed within the framework of strategic research project under the title Improvement of Work Safety in Mines (Contract No.

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Secondary gas emissions during coal desorption, Marathon Grassim Oskolkoff-1 Well, Cook Inlet Basin, Alaska: implications for resource assessment

Cited by 17 publications

References 30 publications

Polymer Translocation through a Nanopore: DPD Study

Polymer Translocation through a Nanopore: DPD Study

Microbial methane from in situ biodegradation of coal and shale: A review and reevaluation of hydrogen and carbon isotope signatures

Prognosticating fire hazards in goafs in Polish collieries

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