scholarly journals PERSONAL COMPUTER-BASED DIGITAL PETROPHYSICS

2017 ◽  
Vol 35 (2) ◽  
Author(s):  
Ricardo Leiderman ◽  
Andre M. B. Pereira ◽  
Francisco M. J. Benavides ◽  
Carla S. Silveira ◽  
Rodrigo M. R. Almeida ◽  
...  

ABSTRACT. In the present work, we describe our experience with digital petrophysics, enhancing our choices for performing the related tasks. The focus is on the use of ordinary personal computers. To our best knowledge, some of the information and hints we give cannot be found in the literature and we hope they may be useful to researchers that intend to work on the development of this new emerging technology. We have used micro-scale X-ray computed tomography to image the rock samples and, in that sense, we address here the issue of the corresponding image acquisition and reconstruction parameters adjustment. In addition, we discuss the imaging resolution selection and illustrate the issue of the representative volume choice with the aid of two examples. The examples corroborate the notion that it is much more challenging to define a representative volume for carbonate samples than for sandstone samples. We also discuss the image segmentation and describe in details the Finite Element computational implementation we developed to perform the numerical simulations for estimating the effective Young modulus from segmented microstructural images. We indicate the respective computational costs and show that our implementation is able to handle comfortably images of 300×300×300 voxels. We use a commercially available Finite Volume software to estimate the effective absolute directional permeability. Keywords: rock physics, micro-scale X-ray computed tomography, multi-scale homogenization, effective elastic moduli, representative volume. RESUMO. No presente trabalho descrevemos nossa experiência com Petrofísica Digital, dando ênfase às nossas escolhas para a realização das tarefas relacionadas. O foco é no uso de computadores pessoais e, salvo melhor juízo, algumas das informações e dados que apresentamos não podem ser achados na literatura. Nós adquirimos as imagens digitais de amostras de rochas com o auxílio de microtomografia computadorizada por raio-X e, nesse sentido, discutimos aqui o ajuste dos parâmetros de aquisição e reconstrução de imagens. Além disso, nós discutimos a questão da seleção do volume representativo e sua relação com o tamanho e resolução da imagem digital, mostrando dois exemplos ilustrativos. Os exemplos corroboram a noção de que é muito mais difícil definir um volume representativo tratável para carbonatos do que para arenitos. Nós também discutimos a segmentação de imagens no contexto da Petrofísica Digital e descrevemos em detalhes o código de Elementos Finitos por nós desenvolvido para estimar o módulo de Young efetivo de amostras de rochas a partir de suas imagens microtomográficas, indicando o respectivo custo computacional. Nós mostramos que nossas escolhas levaram a uma implementação computacional capaz de lidar confortavelmente com imagens de até 300×300×300 voxels. Por fim, descrevemos o uso do pacote comercial de Volumes Finitos para estimar a permeabilidade absoluta efetiva das amostras de rocha. Palavras-chave: física de rochas, microtomografia computadorizada por raio-X, homogeneização multiescala, módulo de Young efetivo, volume representativo.

Geoderma ◽  
2014 ◽  
Vol 213 ◽  
pp. 471-477 ◽  
Author(s):  
Helmut Rogasik ◽  
Stefan Schrader ◽  
Ingrid Onasch ◽  
Joachim Kiesel ◽  
Horst H. Gerke

2020 ◽  
Author(s):  
Martin Balcewicz ◽  
Erik H. Saenger

<p>Digital rock physics (DRP) became a complementary part in reservoir characterization during the last two decades. Deriving transport, thermal, or effective elastic rock properties from a digital twin requires a three-step workflow: (1) Preparation of a high-resolution X-ray computed tomography image, (2) segmentation of pore and grain phases, respectively, and (3) solving equations due to the demanded properties. Despite the high resolution µ-CT images, the numerical predictions of rock properties have their specific uncertainties compared to laboratory measurements. Missing unresolved features in the µ-CT image might be the key issue. These findings indicate the importance of a full understanding of the rocks microfabrics. Most digital models used in DRP treat the rock as a heterogeneous, isotropic, intact medium which neglect unresolved features. However, we expect features within the microfabrics like micro-cracks, small-scale fluid inclusions, or stressed grains which may influence the elastic rock properties but have not been taken into account in DRP, yet. Former studies have shown resolution-issues in grain-to-grain contacts within sandstones or inaccuracies due to micro-porosity in carbonates, this means the micritic phase. Within the scope of this abstract, we image two different sandstone samples, Bentheim and Ruhrsandstone, as well as one carbonate sample. Here, we compare the mentioned difficulties of X-ray visualization with further analytical methods, this means thin section and focused ion beam measurements. This results into a better understanding of the rocks microstructures and allows us to segment unresolved features in the X-ray computed tomography image. Those features can be described with effective properties at the µ-scale in the DRP workflow to reduce the uncertainty of the predicted rock properties at the meso- and fieldscale.</p>


2017 ◽  
Vol 9 (3-2) ◽  
Author(s):  
Muhammad Hanif Ramlee ◽  
Jasmy Yunus ◽  
Eko Supriyanto

X-ray computed tomography (called CT) scanner is a powerful and widely used medical imaging modality in the hospital. The CT machine is very expensive and it can produce dangerous radiation when a person operates the machine. This makes it difficult for biomedical engineers and radiographer students to learn its working principles. In order to overcome this problem, a computer based CT scanner trainer system has been developed. The system is implemented using National Instrument’s Laboratory Virtual Instrumentation Engineering Workbench (LabVIEW). At the beginning, it was started with the studying of existing CT scan machine. After gathering information, development process continued to develop generator component, x-ray tube subsystem, detector subsystem, imaging subsystem, and finally is reconstruction subsystem. The trainer system that has been developed is able to be used to train students on how to use CT scanner especially to get high quality images with lowest possible radiation. This will help biomedical engineers and radiographer students to have a better understanding of CT scanner in term of its working principle and to prevent radiation hazard during the learning process.


2018 ◽  
Vol 9 ◽  
pp. 187-197 ◽  
Author(s):  
Stanley J. Normile ◽  
Dinesh C. Sabarirajan ◽  
Osvaldo Calzada ◽  
Vincent De Andrade ◽  
Xianghui Xiao ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document