T-R Cycle Characterization and Imaging: Advanced Diagnostic Methodology for Petroleum Reservoir and Trap Detection and Delineation Quarterly Report

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Description

The principal research effort for Year 1 of the project has been T-R cycle characterization and modeling. The research focus for the first nine (9) months of Year 1 was on outcrop study, well log analysis, seismic interpretation and data integration and for the remainder of the year the emphasis has been on T-R cycle model development. Information regarding the characteristics of T-R cycles has been assembled from the study of outcrops, from well log analyses, and from seismic reflection interpretation. From these studies, stratal boundaries separating T-R cycles have been found to be useful for the recognition and delineation … continued below

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42 pages

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Mancini, Ernest A. September 24, 2004.

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This report is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by the UNT Libraries Government Documents Department to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 16 times. More information about this report can be viewed below.

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  • University of Alabama
    Publisher Info: University of Alabama (United States)
    Place of Publication: Birmingham, Alabama

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Description

The principal research effort for Year 1 of the project has been T-R cycle characterization and modeling. The research focus for the first nine (9) months of Year 1 was on outcrop study, well log analysis, seismic interpretation and data integration and for the remainder of the year the emphasis has been on T-R cycle model development. Information regarding the characteristics of T-R cycles has been assembled from the study of outcrops, from well log analyses, and from seismic reflection interpretation. From these studies, stratal boundaries separating T-R cycles have been found to be useful for the recognition and delineation of these cycles. The key stratal surfaces include subaerial unconformities, shoreface ravinement surfaces, transgressive surfaces, surfaces of maximum regression, and surfaces of maximum transgression. These surfaces can be identified and mapped in surface exposures and can be recognized in well log signatures and seismic reflection profiles as discontinuities. The findings from the study of outcrop, well log, and seismic reflection data are being integrated into a database for use in constructing a model for T-R cycle development.

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42 pages

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OSTI as DE00834185

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  • Other Information: PBD: 24 Sep 2004

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  • September 24, 2004

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  • Dec. 3, 2015, 9:30 a.m.

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  • Oct. 5, 2023, 10:32 a.m.

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Mancini, Ernest A. T-R Cycle Characterization and Imaging: Advanced Diagnostic Methodology for Petroleum Reservoir and Trap Detection and Delineation Quarterly Report, report, September 24, 2004; Birmingham, Alabama. (https://digital.library.unt.edu/ark:/67531/metadc780206/: accessed June 19, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.

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