Coal rank variation in the Bowen Basin, Queensland

Beeston, J.W.

doi:10.1016/0166-5162(86)90019-4

Cited by 32 publications

(19 citation statements)

References 2 publications

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“…Using an average fault dip angle of 20°, obtained from the depth converted seismic, calculation of the burial depth of the current stratigraphy is estimated at approximately +2400 m. Core photos from shallow wells in the region show slickensides on fault surfaces which correspond well with this depth as opposed to cataclasites, which would be anticipated if deeper burial had occurred. The estimate concurs with previous work (Beeston, 1986), which presents curve reflectance depth plot for the Bowen Basin with high vitrinite reflectance values of 2.5 %, corresponding to a burial depth of approximately 2500 m. Deeper burial depth figures such as 3000-3500 m (Uysal et al, 2000) are obtainable simply by adjustment of the fault dip angle or total amount of compression (Table 10). The accuracy of this estimate could be increased by conducting a comprehensive fractal dimension study.…”

Section: Chapter 6 Summary and Conclusionsupporting

confidence: 78%

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Pre-Permian basement and lithological controls on the development of the Jellinbah Thrust Belt: Insight from a new palinspastic reconstruction

Haisley¹

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This project attempts to interpret the structural architecture within the system in this part of the Bowen Basin using a palinspastic restoration (essentially restoring the stratigraphy to its pre-deformed state) in order to establish the magnitude of faulting that has taken place within the Jellinbah Thrust Belt. By estimating the major thrust fault movements, we can understand how the basement and stratigraphy influenced the mechanics of the fault system. The morphology of the Carboniferous metasediments and igneous units that form the basement in the Jellinbah Thrust Belt appear to have had an impact on the localisation of strain.Seismic data from the 2007 Dingonose acquisition (07-DNG-01, 07-DNG-02 and 07-DNG-08) were depth converted using velocity picks in SKUA TM software. Well data were used to confirm the accuracy of the depth conversion and to estimate stratigraphic boundaries that were traced as horizon reflectors in the seismic data. The fault pattern was manually interpreted based on discontinuities in the 2D seismic. Due to the complexity of the faulting within the regions, conceptual models focussed on the large scale and easily discernible structures. In some instances intensive deformation resulting in a lack of homogeneity in the acoustic impedance or poor quality seismic data produced areas of increased uncertainty. Using the Move TM software allowed for manipulation of the interpretation andii various scenarios to be tested. It provided useful analytical tools and accurate empirical measurements to describe and quantify the kinematics of the Jellinbah Thrust Belt. Finally a kinematic reconstruction to restore displaced stratigraphic units to their position prior to faulting was performed in the software.The palinspastic interpretation suggests that the compressional phase of the HunterBowen Orogeny consisted of multiple shortening episodes that were, in some instances, syn-depositional. Inversion of earlier normal faults, slump structures possibly related to the rifting phase observed in the Denison Trough were interpreted near the base of the Basin.The amount of shortening and fault angle permitted the calculation of the burial depth of the late Permian coal measures, with an estimated depth, for the current stratigraphy, of 2.0 km to 2.4 km. Basement high features identified in section 07-DNG-01 act as obstructions to compression, focussing larger reverse displacements in this part of the fault system. Flattening of the basement high to the south-east resulted in less confinement of stresses on specific faults and a more even distribution of displacement within the fault system. Localised dextral transpressional strike-slip displacements incurring out-of section plane movements are also suggested to be a result of the basement morphology.

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Section: Chapter 6 Summary and Conclusionsupporting

confidence: 78%

“…The New England Orogen collision phase revitalised later in the Triassic, uplifting and eroding much of the younger Triassic sequence in the Taroom Trough during the peak of compressive deformation (Beeston, 1986).…”

Section: Stratigraphymentioning

confidence: 99%

Pre-Permian basement and lithological controls on the development of the Jellinbah Thrust Belt: Insight from a new palinspastic reconstruction

Haisley¹

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“…Beeston, 1986; and in the Sydney Basin (summarised in Diessel, 1986;. They found that duller inertinite-rich coal types were more common towards the end of the Late Permian and/or in areas of relatively low accommodation.…”

Section: Introductionmentioning

confidence: 99%

“…The Rangal (RCM), Fort Cooper (FCCM) and Moranbah (MCM) Coal Measures are primary targets for coal and coal seam gas exploration and production in the central Bowen Basin (Draper, 1985). In spite of their stratigraphic proximity, they have quite different maceral group contents and rank (Beeston, 1986). This study examines both the stratigraphical and geographical distribution of inertinite and vitrinite content in these three main coal measures, using electrofacies analysis as a proxy.…”

Section: Introductionmentioning

confidence: 99%

“…These authors (Beeston, 1986;Diessel, 1986; used a traditional approach of manual core logging complemented by petrographic analysis of maceral and mineral composition and rank reflectance. Conventional wireline data (gamma ray and density data) are used exclusively for correlation of coal seams, although some authors have promoted their use for coal quality (Johnston, 1991;Scholes and Johnston, 1993;Zhou et al, 2007) and maceral composition analysis Johnston et al, 1991).…”

Section: Introductionmentioning

confidence: 99%

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Application of high-resolution borehole image analysis in conjunction with wellbore geophysical log data to improve coal characterisation in Permian coal measures, Bowen Basin, Australia

Roslin¹

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Coal reservoirs are unconventional in the sense that the scale of vertical and lateral variability is high when compared to conventional sandstone reservoirs. This requires higher resolution data (metres to decimetres to sub-microns levels) for calculation of reservoir properties. Rock core is the best, but it's expensive to obtain and destroyed during analysis. Recent advances in geophysical imaging of the wellbore provide "pseudo-core" from which to characterise the reservoir, but require advanced processing techniques coupled with ground-truthing to make them a reliable alternative.This project sought to develop methods for advanced coal seam gas reservoir characterisation using wellbore geophysical data and image logs, and to use this information to interpret coal seam gas reservoir properties, in particular coal lithotype, in the context of geological development of the Bowen Basin.The first problem solved during the research was a conversion of borehole electrical images into a microresistivity curve. This procedure allowed the researcher to make a step from qualitative analysis of borehole images to the quantitative one. The resulting microresistivity curve was added to the wireline suite for geostatistical cluster analysis and the development of electrofacies. Thus, the resulting wireline suite consisted of gamma ray, bulk density, photo-electric factor, image-based microresistivity and deep laterolog wireline data.Electrofacies analysis produced a coal lithotype profile which was validated by the results of other studies such as mm scale brightness profile logging and maceral content analysis. Implementation of the microresistivity curve method enhanced the resolution of coal profiling to decimetres level, while photo-electric curve allowed distinguishing between vitrinite-and inertinite-rich low density coal.The results of electrofacies analysis were obtained for 26 wells spread over the Northern Bowen Basin area and the distribution of the coal electrofacies were analysed for both stratigraphical and geographical trends. It was observed that the inertinite-rich coal interpreted from electrofacies analysis increases towards the top of Late Permian coal and towards the north of the Northern Bowen Basin area. These results were consistent with previously observed trends defined by petrographic analysis. 3 Overall, this research project has resulted in the development of a new method for coal characterisation which goes beyond simple cut off values for density, and allows coal lithotype advanced characterisation based on high-resolution wireline borehole data.This method was tested in a case study where stratigraphical and geographical distributions of coal lithotypes were generated over the Northern Bowen Basin area.4

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The application of natural landform analogy and geology‐based spoil classification to improve surface stability of elevated spoil landforms in the Bowen Basin, Australia—A review

Emmerton

Burgess²,

Esterle

et al. 2018

Land Degrad Dev

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Large‐scale open cut mining has occurred within the Bowen Basin for over 4 decades, transitioning from shallow mining depths and limited spoil elevation to increased mining depths, prestripping and increasingly elevated mesa‐like landforms. As a result of this evolution, the stabilisation of modern constructed landforms is no longer assured through the establishment of vegetation alone. The selection of resilient fragmental spoil types for the construction of final landform surfaces, and as cladding for stabilising steep erosive batters, is a practical methodology that has the potential to significantly improve rehabilitation outcomes, by increasing surface rock cover, roughness, and infiltration and reducing erodibility. An understanding of the properties and behaviour of individual spoil materials disturbed during mining is required. Relevant information from published literature on the geological origins, lithology, and weathering characteristics of individual strata within the Bowen Basin Coal Measures (and younger overlying weathered strata) has been reviewed, related to natural landforms and applied to the surface stability of major strata types when disturbed by mining. A spoil classification derived from geological characteristics and weathering behaviour of identifiable lithologic components has been reviewed and refined, demonstrating the application of use of geological information. This classification system is a tool for the allocation of spoil types and use of categories that have application in premine feasibility investigations, landform design, and material selection and placement. The logic of classifying materials based on their stability in the natural landscape has wider relevance to other mining areas where elevated landforms of sedimentary material are constructed.

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Coal rank variation in the Bowen Basin, Queensland

Cited by 32 publications

References 2 publications

Pre-Permian basement and lithological controls on the development of the Jellinbah Thrust Belt: Insight from a new palinspastic reconstruction

Pre-Permian basement and lithological controls on the development of the Jellinbah Thrust Belt: Insight from a new palinspastic reconstruction

Application of high-resolution borehole image analysis in conjunction with wellbore geophysical log data to improve coal characterisation in Permian coal measures, Bowen Basin, Australia

The application of natural landform analogy and geology‐based spoil classification to improve surface stability of elevated spoil landforms in the Bowen Basin, Australia—A review

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