26 Coal Geology: Emphasis on Active Coalbed Methane Plays - Session Dedicated to Charles L. Pillmore and his Work in the Raton Basin.
Sunday, 7 November 2004
1:30 PM - 5:30 PM
A REFINED LITHOSTRATIGRAPHY FOR THE RATON FORMATION: IMPLICATIONS FOR ALLUVIAL HETEROGENEITY, COAL-FORMING ENVIRONMENTS AND COAL BED DISTRIBUTION – RATON BASIN
Paper number: 26-3
Program: Technical Sessions
Time: 2:00 PM – 2:15 PM
Authors
-
Chris CorneliusEvergreen Rscs Inc, Denver, CO
-
Peter TurnerSchool of Geography, Earth and Environmental Sciences, Birmingham, N/A
Abstract
The Raton Formation is subdivided allostratigraphically to form four generic, basin-scale depositional sequences identifiable due to fluvial heterogeneity, coal development and gross facies architecture. The Raton Conglomerate (Tr-C) comprises a 1-30m thick non coal-bearing incised valley-fill succession, composed of coarse-grained extraformational clasts. The unconformable base to this deposit constitutes a regional sequence boundary, while the topmost beds grade into the coal-bearing Lower Raton facies (Tr-L). Although coals at this level are well developed the limited thickness of Tr-L (<20m) precludes significant net coal thicknesses. The Middle Raton facies (Tr-M) is characterized by an 40-80m thick succession of fluviatile strata, transported via large truck river channel-forms, within a well-drained floodbasin setting. These conditions limited both swamp development and peat preservation; consequently Tr-M has restricted coal assemblages. By contrast, the Upper Raton facies (Tr-U) show good coal bed development grouped into five parasequences (Tr-U1 to Tr-U5), over a 200-300m thick interval. Floodbasin coal groups are interbedded with sand bodies deposited by meandering and braided fluvial systems. These strata are ordered to form disconformity-bounded alluvial-cycles that reflect variation in hinterland uplift and basin subsidence (sediment supply and accommodation space). By refining the existing Raton Formation stratigraphy, a new allostratigraphic model has been developed which allows the evaluation of in-situ coal resource and a predictive means for CBM development.