Coalbed Methane: Current Field-Based Evaluation Methods

Clarkson, Christopher R.; Bustin, Marc

doi:10.2118/131791-pa

Cited by 67 publications

(44 citation statements)

References 68 publications

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“…The prediction of permeability is economically crucial as it determines whether commercial gas production rates can be achieved. Gas stored in coal seams (Clarkson & Bustin 2011), as well as groundwater in the system is transported through the cleats towards the producing wells (Scott 2002). Because seam permeability is a crucial factor for mine stability, minability, gas well performance and drainage behaviour, knowledge of cleat characteristics is essential for safe and efficient mining.…”

Section: Relevance Of Cleat Geometry Measurementsmentioning

confidence: 99%

Image processing based characterisation of coal cleat networks

Busse

Dreuzy

Galindo‐Torres

et al. 2017

International Journal of Coal Geology

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Characterisation of the cleat network serves as the basis for estimating the hydraulic and mechanical seam properties which in turn are fundamental for flow and geomechanical modelling in the context of underground coal mining. Cleat and cleat network geometry can be described as a function of frequency, aperture, size, orientation relative to in situ stresses, connectivity and porosity, with mineralised and un-mineralised cleats occurring. To describe these properties, CTscans of core samples of a Bowen Basin coal in central Queensland, Australia, are analysed.A unique image processing workflow method is introduced to extract the key statistical parameters of perpendicular butt and face cleats present in a two-dimensional image. As face and butt cleats have different characteristics, the presented method distinguishes face cleats and butt cleats by direction and present detailed data for both cleat types. The results comprise cleat length, apertures, sizes, intensities, densities, shape parameter, spacing, orientation and connectivity and are therefore more comprehensive than previous cleat descriptions. Three generally different cleat geometries are considered within this study, one sample shows perpendicular face and butt cleats, the second two sets of face cleats intersected by butt cleats and the third parallel face cleats only.

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Section: Relevance Of Cleat Geometry Measurementsmentioning

confidence: 99%

Image processing based characterisation of coal cleat networks

Busse

Dreuzy

Galindo‐Torres

et al. 2017

International Journal of Coal Geology

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“…Historical challenges to predicting CBM-well performance and long-term production have included accurate estimation of gas in place (including quantification of in-situ sorbed gas storage); estimation of initial fluid saturations (in saturated reservoirs) and mobile water in place; estimation of the degree of under-saturation (under-saturated coals produce mainly water above desorption pressure); estimation of initial absolute permeability (system); estimation of absolute-permeability changes as a function of depletion; and accurate prediction of cavity or hydraulic-fracture properties (Clarkson & Bustin, 2010).…”

Section: Unconventional Gas Reservoir Uncertaintymentioning

confidence: 99%

“…The work by Clarkson & Bustin (2010) showed that there is difficulty in estimating original gas in place. This is partially due to the variability in coal seam thickness (Baker, et al, 2012;Kabir, et al, 2011) which is a key input to calculating the initial gas in place (Seidle, 2011).…”

Section: Unconventional Gas Reservoir Uncertaintymentioning

confidence: 99%

“…Although attempts have been made to generate type curves from reservoir properties of unconventional resource (Nobakht, et al, 2013;Clarkson & Bustin, 2010), it is a large subject on its own and no attempt is made in this work to solve those challenges. This work is the first part in a larger investigation into surface facility designs against input boundary uncertainty, and proposes a synthetic type curve as a means to describe the input boundary.…”

Section: Introductionmentioning

confidence: 99%

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Developing synthetic reservoir type curve model for use in evaluating surface facility and gathering pipe network designs

Dennis

2017

Journal of Natural Gas Science and Engineering

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Please cite this article as: Dennis, M., Developing synthetic reservoir type curve model for use in evaluating surface facility and gathering pipe network designs, Journal of Natural Gas Science & Engineering (2017), doi: 10.1016/j.jngse.2017 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. M A N U S C R I P T A C C E P T E D ACCEPTED MANUSCRIPT AbstractSurface facilities and unconventional gas gathering networks are typically designed to collect gas from a large number of wells to a central location. The unit operations that make up the surface network need to be installed before the wells are producing and thus need to be sized on predicted performance rather than actual performance which is not known until production data is available. This means each reservoir's production profile which is based on uncertain input parameters and imperfect reservoir models forms the sizing basis for the surface facilities.In this study a method is developed to generate synthetic reservoir flow type curves based on a set of input parameters that is independent of reservoir parameters. The main qualitative characteristics of an unconventional gas reservoir type curve are described such as gas ramp to peak, peak gas flow and production decline, along with the discontinuities and variations from expected performance seen in operating trends. The synthetic type curve proposed in this work can be parameterised to mimic these characteristics, along with a well deliverability mechanism and subsurface communication between wells.The method of being able to describe a type curve by means of input parameterisation allows an unconventional gas surface facility of gathering pipe network and in-field booster compressors to be designed against many sets of synthetic type curves rapidly generated by randomisation of those input parameters.

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“…Cleat system and production mechanism of CBM (King and Ertekin, 1989;Kansas Geological Survey, 2006). (Conway et al, 1994;Clarkson and Bustin, 2011 (Mavor and Saulsberry, 1996). …”

Section: Cbm 유정생산시험mentioning

confidence: 99%

Development of Designing and Performing Procedure for Well Test in Coalbed Methane(CBM) Reservoir

Park¹,

Lee

2013

Economic and Environmental Geology

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The most critical factor in developing coalbed methane(CBM) reservoir is absolute permeability. Both productivity and economics of the CBM depend on the absolute permeability. The methods to estimate it are core analysis and well test. However, absolute permeability determined by core analysis cannot be a good representative of CBM reservoir. Therefore, it is generally estimated by well test. In this study, well test methods applicable of CBM reservoir were classified with their characteristics. Merits and demerits of each well tests were also analyzed. Based on those parameters, design considerations and procedures of well test were derived. After each well tests was performed, the procedure of well test interpretations to estimate reservoir properties such as absolute permeability and skin factor was presented.

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Coalbed Methane: Current Field-Based Evaluation Methods

Cited by 67 publications

References 68 publications

Image processing based characterisation of coal cleat networks

Image processing based characterisation of coal cleat networks

Developing synthetic reservoir type curve model for use in evaluating surface facility and gathering pipe network designs

Development of Designing and Performing Procedure for Well Test in Coalbed Methane(CBM) Reservoir

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