- Seismic Imaging and Inversion Techniques
- Drilling and Well Engineering
- Hydraulic Fracturing and Reservoir Analysis
- Mineral Processing and Grinding
- Seismic Waves and Analysis
- Rock Mechanics and Modeling
- Hydrocarbon exploration and reservoir analysis
- Geophysical Methods and Applications
- Enhanced Oil Recovery Techniques
- Groundwater flow and contamination studies
- Hydrology and Watershed Management Studies
- Medical Imaging Techniques and Applications
- Geochemistry and Geologic Mapping
- Tunneling and Rock Mechanics
- Water Quality and Resources Studies
- Advanced X-ray and CT Imaging
- Ultrasonics and Acoustic Wave Propagation
- Computer Graphics and Visualization Techniques
- Geotechnical and Geomechanical Engineering
- Geological Modeling and Analysis
- Groundwater and Isotope Geochemistry
The University of Texas at Austin
2017-2021
Shales commonly exhibit anisotropy in their elastic wave velocity, which directly impacts the accuracy of seismic imaging and geomechanical response to drilling completions. Anisotropy is often caused by mineralogical layering, fractures rock fabric (i.e. oriented grains intrinsic clay sediments). However, relative impact each these features on macroscopic shale properties not well understood. We combined scanning electron microscopy (SEM) X-ray microcomputed tomography image structural...
Abstract We propose a new method to compute elastic properties of rocks from computed tomography (CT) images. A CT volume captures X‐ray attenuation, which is scaled in number unit. Our improves an existing segmentation‐less where the directly converted property arrays without using segmentation. drawback that it typically requires scan physical targets known density along with sample. Targets map into petrophysical by comparing numbers sample those targets. introduce workflow no longer but...
Micro computed tomography (μCT) is an effective way to obtain rock digital models that can be used, along with physics (DRP), calculate properties. However, DRP has yielded mixed success are in part due limitations and uncertainty introduced by the segmentation processing method. Lately, segmentation-less been put forward potentially enabling become avenue inexpensively Ideally, could applied infinite number of samples such as drill cuttings. Here we present investigation about medium...
Digital rock physics (DRP) aims at estimating physical properties from computed-tomography (CT) imagery. DRP could improve our knowledge of subsurface without increasing laboratory testing that is time consuming, expensive and might damage the samples. Classic employs segmentation assigns to CT imagery voxels. However, obliterates information leading a loss precision in final result. Segmentation quality improves by scanning sample sub-micrometric resolution, but this leads trade-off: volume...
We demonstrate that the static elastic properties of a carbonate sample, comprised dolomite and calcite, could be accurately predicted by Digital Rock Physics (DRP), non-invasive testing method for simulating laboratory measurements. present state-of-the-art algorithm uses X-ray Computed Tomography (CT) imagery to compute lacustrine rudstone sample. The high-resolution CT-images provide digital sample is used analyzing microstructures performing quasi-static compression numerical...
Describing physical properties of reservoir rocks is great interest. Lab testing can be expensive, and may not have the desired spatial sampling for long cores. Here, we describe a hand sample carbonate rock comprised calcite dolomite. We use digital physics to numerically estimate how density, porosity, electrical conductivity change along across bedding (vertically laterally). This higher than possible with standard laboratory methods such as core plug or whole analysis. Our models were...
Digital rock physics (DRP) is used to estimate physical properties of rocks by means digital models. Conventional requires very high resolution images, as grains and pores need be well resolved in order assign each voxel the an endmember. Using targeted method, which does not require segmentation, voxels that capture a mixture pore grain are assigned effective medium theory. The therefore, resolving individual boundaries, lower scanning possible. Here we show results segmentation-less DRP...
Elastic properties of rocks control the behavior seismic waves such as wave amplitudes and speeds. Usually, elastic are measured in laboratory. Unfortunately, some laboratory measurements invasive. Digital Rock Physics (DRP) provides an alternative solution by simulating common on computerized tomography images (CT-images) samples. However, evaluating using "segmentation-based DRP" is not accurate. Here, we propose automatic inversion-based algorithm to estimate monomineralic rocks. The...
Fractures control the transport and elastic properties of rocks. Typically, seismic methods are inefficient to determine fracture such as orientation distribution. An alternative approach assess includes analysis non-elastic response waves, which is usually quantified through coefficient attenuation (1/Q). Previous studies have shown that fractures affect wave much more than speeds. Attenuation also enhanced when rocks partially saturated. At low-frequencies, in saturated rocks, primary...
The representative elementary volume (REV) is the minimum sized subsample where a measured attribute of bulk media as whole. For sandstones, researchers have estimated that REV approximately between 5 and 11 times grain diameter. Here, we show accounting for properties from many samples smaller than can provide an accurate averaged property, although with some uncertainty. We demonstrate this by taking three dimensional model sandstone then analyzing various subsamples. begin X-ray computed...