Development of a Permeability Formula for Tight and Shale Gas Reservoirs Based on Advanced High-Precision Lab Measurement Techniques

Computed X-ray tomography (CT), together with pulse and pressure decay permeability methods were used to evaluate a formula for absolute reservoir permeability. For this reason, 62 core samples representing geological material of tight, gas-bearing sandstones, mudstones, limestones, and dolostones w...

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Main Authors: Paulina Krakowska-Madejska, Edyta Puskarczyk, Magdalena Habrat, Paweł Madejski, Marek Dohnalik, Mariusz Jędrychowski
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/14/9/2628
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author Paulina Krakowska-Madejska
Edyta Puskarczyk
Magdalena Habrat
Paweł Madejski
Marek Dohnalik
Mariusz Jędrychowski
author_facet Paulina Krakowska-Madejska
Edyta Puskarczyk
Magdalena Habrat
Paweł Madejski
Marek Dohnalik
Mariusz Jędrychowski
author_sort Paulina Krakowska-Madejska
collection DOAJ
description Computed X-ray tomography (CT), together with pulse and pressure decay permeability methods were used to evaluate a formula for absolute reservoir permeability. For this reason, 62 core samples representing geological material of tight, gas-bearing sandstones, mudstones, limestones, and dolostones were studied. Samples were divided into two groups with lower and higher permeability values. Images of the pore space were processed and interpreted to obtain geometrical parameters of the objects (pores, microfractures) with 0.5 × 0.5 × 0.5 µm<sup>3</sup> voxel size. Statistical methods, which included basic statistical analysis, linear regression, and multiple linear regression analysis, were combined to evaluate the formula for absolute permeability. It appeared that the following parameters: Feret Breadth/Volume, Flatness/Anisotropy, Feret Max/Flatness, moments of inertia around middle principal axis I2/around longest principal axis I3, Anisotropy/Flatness, Flatness/Anisotropy provided the best results. The presented formula was obtained for a large set of data and is based only on the geometric parameters of the pore space. The novelty of the work is connected with the estimation of absolute permeability using only data from the CT method for tight rocks.
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spelling doaj.art-ddea5f2c4673496b8423c6a4188e22a22023-11-21T18:19:22ZengMDPI AGEnergies1996-10732021-05-01149262810.3390/en14092628Development of a Permeability Formula for Tight and Shale Gas Reservoirs Based on Advanced High-Precision Lab Measurement TechniquesPaulina Krakowska-Madejska0Edyta Puskarczyk1Magdalena Habrat2Paweł Madejski3Marek Dohnalik4Mariusz Jędrychowski5Faculty of Geology, Geophysics and Environmental Protection, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakow, PolandFaculty of Geology, Geophysics and Environmental Protection, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakow, PolandFaculty of Geology, Geophysics and Environmental Protection, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakow, PolandFaculty of Mechanical Engineering and Robotics, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakow, PolandOil and Gas Institute—National Research Institute, Lubicz 25A, 31-503 Krakow, PolandFaculty of Physics and Applied Computer Science, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Krakow, PolandComputed X-ray tomography (CT), together with pulse and pressure decay permeability methods were used to evaluate a formula for absolute reservoir permeability. For this reason, 62 core samples representing geological material of tight, gas-bearing sandstones, mudstones, limestones, and dolostones were studied. Samples were divided into two groups with lower and higher permeability values. Images of the pore space were processed and interpreted to obtain geometrical parameters of the objects (pores, microfractures) with 0.5 × 0.5 × 0.5 µm<sup>3</sup> voxel size. Statistical methods, which included basic statistical analysis, linear regression, and multiple linear regression analysis, were combined to evaluate the formula for absolute permeability. It appeared that the following parameters: Feret Breadth/Volume, Flatness/Anisotropy, Feret Max/Flatness, moments of inertia around middle principal axis I2/around longest principal axis I3, Anisotropy/Flatness, Flatness/Anisotropy provided the best results. The presented formula was obtained for a large set of data and is based only on the geometric parameters of the pore space. The novelty of the work is connected with the estimation of absolute permeability using only data from the CT method for tight rocks.https://www.mdpi.com/1996-1073/14/9/2628permeabilitycomputed X-ray tomographyshale gastight rocksgeosciencemultiple linear regression
spellingShingle Paulina Krakowska-Madejska
Edyta Puskarczyk
Magdalena Habrat
Paweł Madejski
Marek Dohnalik
Mariusz Jędrychowski
Development of a Permeability Formula for Tight and Shale Gas Reservoirs Based on Advanced High-Precision Lab Measurement Techniques
Energies
permeability
computed X-ray tomography
shale gas
tight rocks
geoscience
multiple linear regression
title Development of a Permeability Formula for Tight and Shale Gas Reservoirs Based on Advanced High-Precision Lab Measurement Techniques
title_full Development of a Permeability Formula for Tight and Shale Gas Reservoirs Based on Advanced High-Precision Lab Measurement Techniques
title_fullStr Development of a Permeability Formula for Tight and Shale Gas Reservoirs Based on Advanced High-Precision Lab Measurement Techniques
title_full_unstemmed Development of a Permeability Formula for Tight and Shale Gas Reservoirs Based on Advanced High-Precision Lab Measurement Techniques
title_short Development of a Permeability Formula for Tight and Shale Gas Reservoirs Based on Advanced High-Precision Lab Measurement Techniques
title_sort development of a permeability formula for tight and shale gas reservoirs based on advanced high precision lab measurement techniques
topic permeability
computed X-ray tomography
shale gas
tight rocks
geoscience
multiple linear regression
url https://www.mdpi.com/1996-1073/14/9/2628
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