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Dive into the research topics where Rucsandra M. Corbeanu is active.

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Featured researches published by Rucsandra M. Corbeanu.


AAPG Bulletin | 2001

Detailed internal architecture of a fluvial channel sandstone determined from outcrop, cores, and 3-D ground-penetrating radar: Example from the middle Cretaceous Ferron Sandstone, east-central Utah

Rucsandra M. Corbeanu; Kristian Soegaard; Robert B. Szerbiak; John Thurmond; George A. McMechan; Deming Wang; Steven Snelgrove; Craig B. Forster; Ari Menitove

Ideally, characterization of hydrocarbon reservoirs requires information about heterogeneity at a submeter scale in three dimensions. Detailed geologic information and permeability data from surface and cliff face outcrops and boreholes in the alluvial part of the Ferron Sandstone are integrated here with three-dimensional (3-D) ground-penetrating radar (GPR) data for analysis of a near-surface sandstone reservoir analog in fluvial channel deposits. The GPR survey covers a volume with a surface area of 40 x 16.5 m and a depth of 12 m. Five architectural elements are identified and described in outcrop and well cores, using a sixfold hierarchy of bounding surfaces. Internally, the lower four units consist of fine-grained, parallel-laminated sandstone, and the upper unit consists of medium-grained, trough cross-bedded sandstone. The same sedimentary architectural elements and associated bounding surfaces are distinguished in the GPR data by making use of principles developed in seismic stratigraphic analysis. To facilitate comparison of geologic features in the depth domain and radar reflectors in the time domain, the radar data are depth migrated. The GPR interpretation is carried out mainly on migrated 100 MHz data with a vertical resolution of about 0.5 m. Measures of the spatial continuity and variation of the first- and second-order bounding surfaces are obtained by computing 3-D experimental variograms for each architectural element (each radar (Begin page 1584) facies). The maximum correlation length of the dominant internal features ranges between 4 and 6 m, and the anisotropy factor ranges between 0.6 and 0.95.


Geophysics | 2001

3‐D characterization of a clastic reservoir analog: From 3‐D GPR data to a 3‐D fluid permeability model

Robert B. Szerbiak; George A. McMechan; Rucsandra M. Corbeanu; Craig B. Forster; Steven Snelgrove

A three‐dimensional (3‐D) 100 MHz ground‐penetrating radar (GPR) data volume is the basis of in‐situ characterization of a fluvial reservoir analog in the Ferron Sandstone of east‐central Utah. We use the GPR reflection times to image the bounding surfaces via 3‐D velocity estimation and depth migration, and we use the 3‐D amplitude distribution to generate a geostatistical model of the dimensions, orientations, and geometries of the internal structures from the surface down to ∼12 m depth. Each sedimentological element is assigned a realistic fluid permeability distribution by kriging with the 3‐D correlation structures derived from the GPR data and which are constrained by the permeabilities measured in cores and in plugs extracted from the adjacent cliff face. The 3‐D GPR image shows that GPR facies changes can be interpreted to locate sedimentological bounding surfaces, even when the surfaces do not correspond to strong GPR reflections. The site contains two main sedimentary regimes. The upper ∼5 m co...


Geophysics | 2000

Creating virtual 3-D outcrop

Xueming Xu; Carlos L. V. Aiken; Janok P. Bhattacharya; Rucsandra M. Corbeanu; Kent C. Nielsen; George A. McMechan; Mohamed G. Abdelsalam

Because of the high precision of present-day GPS and reflectorless laser technology, geologic information and remotely sensed data (i.e., seismic and GPR grids, wells) can be positioned accurately in 3-D and reconstructed as a virtual image. Hence, we have developed the “virtual outcrop” for applications that require knowledge about the 3-D spatial arrangements of rock types.


Mathematical Geosciences | 2002

Hydraulic Effects of Shales in Fluvial-Deltaic Deposits: Ground-Penetrating Radar, Outcrop Observations, Geostatistics, and Three-Dimensional Flow Modeling for the Ferron Sandstone, Utah

Djuro Novakovic; Christopher D. White; Rucsandra M. Corbeanu; William S. Hammon; Janok P. Bhattacharya; George A. McMechan

AbstractGround-penetrating radar (GPR) surveys, outcrop measurements, and cores provide a high-resolution 3D geologic model to investigate the hydraulic effects of shales in marine-influenced lower delta-plain distributary channel deposits within the Cretaceous-age Ferron Sandstone at Corbula Gulch in central Utah, USA. Shale statistics are computed from outcrop observations. Although slight anisotropy was observed in mean length and variogram ranges parallel and perpendicular to pale of low


Geophysics | 2002

Estimation of the spatial distribution of fluid permeability from surface and tomographic GPR data and core, with a 2‐D example from the Ferron Sandstone, Utah

William S. Hammon; Xiaoxian Zeng; Rucsandra M. Corbeanu; George A. McMechan


Geophysical Prospecting | 2004

3D imaging of a reservoir analogue in point bar deposits in the Ferron Sandstone, Utah, using ground-penetrating radar

Xiaoxian Zeng; George A. McMechan; Janok P. Bhattacharya; Carlos L. V. Aiken; Xueming Xu; William S. Hammon; Rucsandra M. Corbeanu

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Archive | 2001

Integrated 3-D Ground-Penetrating Radar, Outcrop, and Borehole Data Applied to Reservoir Characterization and Flow Simulation

George A. McMechan; Rucsandra M. Corbeanu; Craig B. Forster; Kristian Soegaard; Xiaoxian Zeng; Carlos L. V. Aiken; Robert B. Szerbiak; Janok Bhattacharya; Michael Wizevich; Xueming Xu; Stephen H. Snelgrove; Karen Roche; Siang Joo Lim; Djuro Navakovic; Christopher D. White; Laura Crossey; Deming Wang; John Thurmond; William S. Hammon; Mamadou Balde; Ari Menitove


Archive | 2001

and 3-D ground-penetrating radar: Example from the middle Cretaceous Ferron Sandstone, east-central Utah

Rucsandra M. Corbeanu; Kristian Soegaard; Robert B. Szerbiak; John Thurmond; George A. McMechan; Deming Wang; Steven Snelgrove; Craig B. Forster; Ari Menitove

, the anisotropy is not statistically significant and the estimated mean length is 5.4 m. Truncated Gaussian simulation was used to create maps of shales that are placed on variably dipping stratigraphic surfaces interpreted from high-resolution 3D GPR surveys, outcrop interpretations, and boreholes. Sandstone permeability is estimated from radar responses calibrated to permeability measurements from core samples. Experimentally designed flow simulations examine the effects of variogram range, shale coverage fraction, and trends in shale coverage on predicted upscaled permeability, breakthrough time, and sweep efficiency. Approximately 1500 flow simulations examine three different geologic models, flow in the 3 coordinate directions, 16 geostatistical parameter combinations, and 10 realizations for each model. ANOVA and response models computed from the flow simulations demonstrate that shales decrease sweep, recovery, and permeability, especially in the vertical direction. The effect on horizontal flow is smaller. Flow predictions for ideal tracer displacements at Corbula Gulch are sensitive to shale-coverage fraction, but are relatively insensitive to twofold variations in variogram range or to vertical trends in shale coverage. Although the hydraulic effects of shale are statistically significant, the changes in flow responses rarely exceed 20%. As a result, it may be reasonable to use simple models when incorporating analogous shales into models of reservoirs or aquifers.


AAPG Bulletin | 2000

Abstract: 3-D internal geometry of delta plain channel deposits, Cretaceous Ferron Sandstone, Utah

Rucsandra M. Corbeanu; C Michael

Reservoir analogs provide detailed information that is applicable to fluid transport simulations but that cannot be obtained directly from reservoirs because of inaccessibility. The Ferron Sandstone of east‐central Utah is an analog for fluviodeltaic reservoirs; its excellent outcrop exposures are ideal for detailed study. Ground‐penetrating radar (GPR) data were collected in and between two cored boreholes and are used to build a 2‐D fluid permeability model in four steps. First, an anisotropic GPR propagation velocity model is obtained from traveltime tomography between two boreholes and between each borehole and the earths surface. Second, the geometry of the sedimentological features is imaged by prestack Kirchhoff depth migration of constant‐offset GPR data acquired along a line between the two holes at the earths surface. Third, a background permeability is assigned to each layer by interpolating the geometrical average of the measured permeabilities in each sedimentological element. Finally, the ...


AAPG Bulletin | 2000

Abstract: 3-D internal distribution of heterogeneities in a fluvial channel reservoir derived from 3-D GPR interpretation - A case study from the Cretaceous Ferron Sandstone, Utah

Rucsandra M. Corbeanu; Robert B

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George A. McMechan

University of Texas at Dallas

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Robert B. Szerbiak

University of Texas at Dallas

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William S. Hammon

University of Texas at Dallas

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Carlos L. V. Aiken

University of Texas at Dallas

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Deming Wang

University of Texas at Dallas

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John Thurmond

Massachusetts Institute of Technology

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Kristian Soegaard

University of Texas at Dallas

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