scholarly journals Technical Note. The Concept of a Computer System for Interpretation of Tight Rocks Using X-Ray Computed Tomography Results

2017 ◽  
Vol 39 (1) ◽  
pp. 101-107 ◽  
Author(s):  
Magdalena Habrat ◽  
Paulina Krakowska ◽  
Edyta Puskarczyk ◽  
Mariusz Jędrychowski ◽  
Paweł Madejski

Abstract The article presents the concept of a computer system for interpreting unconventional oil and gas deposits with the use of X-ray computed tomography results. The functional principles of the solution proposed are presented in the article. The main goal is to design a product which is a complex and useful tool in a form of a specialist computer software for qualitative and quantitative interpretation of images obtained from X-ray computed tomography. It is devoted to the issues of prospecting and identification of unconventional hydrocarbon deposits. The article focuses on the idea of X-ray computed tomography use as a basis for the analysis of tight rocks, considering especially functional principles of the system, which will be developed by the authors. The functional principles include the issues of graphical visualization of rock structure, qualitative and quantitative interpretation of model for visualizing rock samples, interpretation and a description of the parameters within realizing the module of quantitative interpretation.

2018 ◽  
Vol 18 (3) ◽  
pp. 3-13
Author(s):  
Aline Maria Poças Belila ◽  
Michelle Chaves Kuroda ◽  
João Paulo Da Ponte Souza ◽  
Alexandre Campane Vidal ◽  
Osvair Vidal Trevisan

Carbonate rocks constitute a large number of petroleum reservoirs worldwide. Notwithstanding, the characterization of these rocks is still a challenge due to their high complexity and pore space variability, indicating the importance of further studies to reduce uncertainty in reservoir interpretation and characterization. This work was performed for coquina samples from Morro do Chaves Formation (Sergipe-Alagoas Basin), analogous to important Brazilian reservoirs. Computed tomography (CT) was used for three-dimensional characterization of rock structure. The neural network named Self-Organizing Maps (SOM) was used for CT images segmentation. According to our tests, CT demonstrated to be a consistent tool for quantitative and qualitative analysis of heterogeneous pore space, by the evaluation of porosity, connectivity and the representative elementary volume.


2017 ◽  
Vol 19 (37) ◽  
pp. 25334-25345 ◽  
Author(s):  
Giuseppe F. Brunello ◽  
William K. Epting ◽  
Juwana de Silva ◽  
Paul A. Salvador ◽  
Shawn Litster ◽  
...  

With Bayesian calibration the uncertainty of the temperature dependence of the TPR current can be obtained.


2015 ◽  
Vol 138 ◽  
pp. 118-127 ◽  
Author(s):  
M. Wallenstein ◽  
N. Hafen ◽  
H. Heinzmann ◽  
S. Schug ◽  
W. Arlt ◽  
...  

1999 ◽  
Vol 11 (1) ◽  
pp. 199-211
Author(s):  
J. M. Winter ◽  
R. E. Green ◽  
A. M. Waters ◽  
W. H. Green

2013 ◽  
Vol 19 (S2) ◽  
pp. 630-631
Author(s):  
P. Mandal ◽  
W.K. Epting ◽  
S. Litster

Extended abstract of a paper presented at Microscopy and Microanalysis 2013 in Indianapolis, Indiana, USA, August 4 – August 8, 2013.


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