Seismic attribute-based characterization of coalbed methane reservoirs: An example from the Fruitland Formation, San Juan basin, New Mexico

Marroquín, Iván Dimitri; Hart, Bruce S.

doi:10.1306/05190403088

Cited by 25 publications

(10 citation statements)

References 28 publications

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“…Large curvatures occur at places such as both sides of a fold axis, tectonic transition zones, and both sides of a fracture plane. These places are commonly developing zones of cracks and fractures [9,16,17]. At locations with positive curvature (anticlines) coal beds experience stretching forces so that previously developed cracks open up or separation fractures develop well.…”

Section: Structure Curvature and Qualitative Prediction Of Gas Contentmentioning

confidence: 99%

“…Therefore, it is possible to use seismic attributes to predict gas content in a coal seam. In particular, use of pre-stack seismic data in AVO inversion studies has led to significant improvement in prediction reliability owing to the availability of a large amount of seismic gathers and well logging information, relative to that of post-stack acoustic impedance inversion [9]. However, high-level coalbed gas exists in coal seams mainly in absorbed form, causing great difficulty and uncertainty in the prediction if it is based solely on the seismic AVO technique [5].…”

Section: Introductionmentioning

confidence: 99%

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Quantitative Prediction of Coalbed Gas Content Based on Seismic Multiple-Attribute Analyses

Pan

Gao

Lei³

et al. 2015

J. Eng. Technol. Sci.

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Abstract. Accurate prediction of gas planar distribution is crucial to selection and development of new CBM exploration areas. Based on seismic attributes, well logging and testing data we found that seismic absorption attenuation, after eliminating the effects of burial depth, shows an evident correlation with CBM gas content; (positive) structure curvature has a negative correlation with gas content; and density has a negative correlation with gas content. It is feasible to use the hydrocarbon index (P*G) and pseudo-Poisson ratio attributes for detection of gas enrichment zones. Based on seismic multiple-attribute analyses, a multiple linear regression equation was established between the seismic attributes and gas content at the drilling wells. Application of this equation to the seismic attributes at locations other than the drilling wells yielded a quantitative prediction of planar gas distribution. Prediction calculations were performed for two different models, one using pre-stack inversion and the other one disregarding pre-stack inversion. A comparison of the results indicates that both models predicted a similar trend for gas content distribution, except that the model using pre-stack inversion yielded a prediction result with considerably higher precision than the other model.

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Section: Structure Curvature and Qualitative Prediction Of Gas Contentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quantitative Prediction of Coalbed Gas Content Based on Seismic Multiple-Attribute Analyses

Pan

Gao

Lei³

et al. 2015

J. Eng. Technol. Sci.

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“…Our treatment of the latter assumes that each facies association has an equally ambiguous expression in the seismic data because they occur in thin units below seismic resolution and the seismic attributes used to detect their presence are nondiagnostic. This assumption may not be true if a clear distinction exists in the acoustic rock properties of some facies associations (e.g., thick coals in coastal-plain deposits may have a diagnostically low acoustic impedance; Marroquìn and Hart, 2004). Three facies probability volumes were generated, corresponding to scenarios of variable seismic data resolution and quality ( Figure 7).…”

Section: Facies Probability Volumes As a Proxy For Seismic Conditionimentioning

confidence: 99%

A comparative study of reservoir modeling techniques and their impact on predicted performance of fluvial-dominated deltaic reservoirs

et al. 2014

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Multiple techniques are available to construct three-dimensional reservoir models. This study uses comparative analysis to test the impact of applying four commonly used stochastic modeling techniques to capture geologic heterogeneity and fluidflow behavior in fluvial-dominated deltaic reservoirs of complex facies architecture: (1) sequential indicator simulation;(2) object-based modeling; (3) multiple-point statistics (MPS); and (4) spectral component geologic modeling. A reference for comparison is provided by a high-resolution model of an outcrop analog that captures facies architecture at the scale of parasequences, delta lobes, and facies-association belts. A sparse, pseudosubsurface data set extracted from the reference model is used to condition models constructed using each stochastic reservoir modeling technique.Models constructed using all four algorithms fail to match the facies-association proportions of the reference model because they are conditioned to well data that sample a small, unrepresentative volume of the reservoir. Simulated sweep efficiency is determined by the degree to which the modeling algorithms reproduce two aspects of facies architecture that control sand-body connectivity: (1) the abundance, continuity, and orientation of channelized fluvial sand bodies; and (2) the Peter Deveugle is an earth scientist with Chevron Energy Technology Company based in Perth, Australia. He holds an M.Eng. degree in mining engineering from the Katholieke Universiteit Leuven, Belgium, an M.Sc. degree in petroleum geoscience from the Institut Français du Pétrole, Paris, and a Ph.D. in earth science from Imperial College, London. His current interests lie in reservoir modeling and its applications to exploration and development geology and engineering.Gary Hampson is a reader in sedimentary geology in the Department of Earth Science and Engineering, Imperial College, London. He holds a B.A. degree in natural sciences from the University of Cambridge and a Ph.D. in sedimentology and sequence stratigraphy from the University of Liverpool. His research interests lie in the understanding of depositional systems and their preserved stratigraphy and in applying this knowledge to reservoir characterization. lateral continuity of barriers to vertical flow associated with flooding surfaces. The MPS algorithm performs best in this regard. However, the static and dynamic performance of the models (as measured against facies-association proportions, facies architecture, and recovery factor of the reference model) is more dependent on the quality and quantity of conditioning data and on the interpreted geologic scenario(s) implicit in the models than on the choice of modeling technique.

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“…Hart & Chen (2004) studied the Cenomanian Dakota Formation (a succession of shelf, littoral and coastal plain clastics), whereas Marroquin & Hart (2004) studied the Fruitland Coal. Both reservoirs have stratigraphic (thickness of sandstone or coal) and structural (fracture/cleat density, orientation, and connectivity) components.…”

Section: Basement Morphology San Juan Basinmentioning

confidence: 99%

“…Originally, these horizon attributes were employed to detect subtle structures such as faults or fractures that might have an impact on reservoir performance (e.g. Hesthammer & Fossen 1997;Townsend et al 1998;Dalley et al 1989;Hart et al 2000Hart et al , 2002Marroquin & Hart 2004). Current interest in identifying and understanding stratigraphic features, for lithology prediction, reconstructions of geologic history, geohazard prediction or other purposes, has led interpreters to examine the use of horizon attributes for examining stratigraphic features.…”

mentioning

confidence: 99%

Curvature for visualization of seismic geomorphology

Hart

Sagan

2007

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We illustrate the use of curvature attributes for defining stratigraphic features of interest on horizons mapped in three-dimensional seismic data. Curvature is a two-dimensional property of a curve that quantifies how much the curve deviates from a straight line. Many different types of curvature may be defined for a surface, and these can be more useful than dip, azimuth or even 'conventional' (i.e. second derivative) curvature analyses for defining subtle structural or stratigraphic features of interest. In our workflow, we drape curvature over rendered three-dimensional surfaces and adjust lighting to highlight stratigraphic and structural features of interest. The examples we present are derived from clastic and carbonate settings of various ages, and include applications of curvature analyses to multibeam bathymetry and digital elevation model data.

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Seismic attribute-based characterization of coalbed methane reservoirs: An example from the Fruitland Formation, San Juan basin, New Mexico

Cited by 25 publications

References 28 publications

Quantitative Prediction of Coalbed Gas Content Based on Seismic Multiple-Attribute Analyses

Quantitative Prediction of Coalbed Gas Content Based on Seismic Multiple-Attribute Analyses

A comparative study of reservoir modeling techniques and their impact on predicted performance of fluvial-dominated deltaic reservoirs

Curvature for visualization of seismic geomorphology

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