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3D imaging of a reservoir analogue in point bar deposits in the Ferron Sandstone, Utah, using ground‐penetrating radar
Author(s) -
Zeng Xiaoxian,
McMechan George A.,
Bhattacharya Janok P.,
Aiken Carlos L.V.,
Xu Xueming,
Hammon William S.,
Corbeanu Rucsandra M.
Publication year - 2004
Publication title -
geophysical prospecting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.735
H-Index - 79
eISSN - 1365-2478
pISSN - 0016-8025
DOI - 10.1046/j.1365-2478.2003.00410.x
Subject(s) - geology , outcrop , facies , ground penetrating radar , petrophysics , geomorphology , point bar , petroleum reservoir , permeability (electromagnetism) , petrology , mineralogy , radar , geotechnical engineering , paleontology , porosity , telecommunications , structural basin , membrane , biology , computer science , genetics
Most existing reservoir models are based on 2D outcrop studies; 3D aspects are inferred from correlation between wells, and so are inadequately constrained for reservoir simulations. To overcome these deficiencies, we have initiated a multidimensional characterization of reservoir analogues in the Cretaceous Ferron Sandstone in Utah. Detailed sedimentary facies maps of cliff faces define the geometry and distribution of reservoir flow units, barriers and baffles at the outcrop. High‐resolution 2D and 3D ground‐penetrating radar (GPR) images extend these reservoir characteristics into 3D to allow the development of realistic 3D reservoir models. Models use geometric information from mapping and the GPR data, combined with petrophysical data from surface and cliff‐face outcrops, and laboratory analyses of outcrop and core samples. The site of the field work is Corbula Gulch, on the western flank of the San Rafael Swell, in east‐central Utah. The outcrop consists of an 8–17 m thick sandstone body which contains various sedimentary structures, such as cross‐bedding, inclined stratification and erosional surfaces, which range in scale from less than a metre to hundreds of metres. 3D depth migration of the common‐offset GPR data produces data volumes within which the inclined surfaces and erosional surfaces are visible. Correlation between fluid permeability, clay content, instantaneous frequency and instantaneous amplitude of the GPR data provides estimates of the 3D distribution of fluid permeability and clay content.