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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2021-05-01
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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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institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-10T11:43:49Z |
publishDate | 2021-05-01 |
publisher | MDPI AG |
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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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