- SPE Energy Stream
- Rock Surface Roughness Could Hold the Key to Enhancing Reservoir Descriptions
Rock Surface Roughness Could Hold the Key to Enhancing Reservoir Descriptions
Friday, May 17, 2024
Friday, May 17, 2024 | 09:00AM – 10:00AM CT
Surface roughness is an essential rock parameter affecting all petrophysical properties that are surface sensitive including pore size and wettability. However, the surface roughness of pores is often ignored, which leads to inaccurate surface-related petrophysics such as the prediction of permeability and the interpretation of capillary pressure curves. This presentation shows how proper quantification of surface roughness is crucial for obtaining representative roughness-independent pore sizes for a wide selection of cores.
Surface roughness can be measured by contact techniques (e.g. stylus profilometer, atomic force microscopy), and non-contact techniques (e.g. optical measurements). To balance the FOV (field of view) and measurement representativeness, and to minimize artifacts, laser scanner confocal microscopy (LSCM) is selected in this study. In this presentation, both the 1D absolute increment surface roughness, Sr, as well as 2D interfacial area ratio of surface roughness, Sdr, are reported on a wide selection of core samples using LSCM. Results indicate that Sdr has a greater dynamic range than Sr, i.e., Sdr provides a more representative characterization of surface roughness, while both are valid and can be used interchangeable.
The LSCM derived roughness is then integrated in a novel way with other petrophysical techniques including BET (Brunauer-Emmett-Teller) gas adsorption and NMR (nuclear magnetic resonance) relaxation. Typically, the NMR surface relaxivity (r2) is calibrated using the specific surface-area from BET gas adsorption, however, this drastically underestimates the pore size due to surface roughness effects. We use Sr (or Sdr) measured from LSCM to correct r2 for surface roughness effects, and thereby obtain the roughness-independent NMR pore-size distribution relevant for permeability, capillary pressure, and other surface-related petrophysical parameters. Good agreement is found with the roughness-independent micro-CT pore-size distribution, which validates our novel technique, and highlights the importance of surface roughness characterization in NMR petrophysics.
Finally, an example of integrating the LSCM, BET and NMR techniques is presented for assessing the effect of aging a wide selection of cores in CO2 under reservoir conditions for prolonged times.
All content contained within this webinar is copyrighted by Gabriela Singer and its use and/or reproduction outside the portal requires express permission from Gabriela Singer.
Webinar recordings will be available on-demand within 1 business day of the webinar completion.
For those who attended the live webinar, your certificate will be available in your “Learner Profile” within 1 business day of the webinar completion.
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Course Chapters
- 1Rock Surface Roughness Could Hold the Key to Enhancing Reservoir DescriptionsMedia Type: Webinar
Surface roughness is an essential rock parameter affecting all petrophysical properties that are surface sensitive including pore size and wettability. However, the surface roughness of pores is often ignored, which leads to inaccurate surface-related petrophysics such as the prediction of permeability and the interpretation of capillary pressure curves. This presentation shows how proper quantification of surface roughness is crucial for obtaining representative roughness-independent pore sizes for a wide selection of cores. Surface roughness can be measured by contact techniques (e.g. stylus profilometer, atomic force microscopy), and non-contact techniques (e.g. optical measurements). To balance the FOV (field of view) and measurement representativeness, and to minimize artifacts, laser scanner confocal microscopy (LSCM) is selected in this study. In this presentation, both the 1D absolute increment surface roughness, Sr, as well as 2D interfacial area ratio of surface roughness, Sdr, are reported on a wide selection of core samples using LSCM. Results indicate that Sdr has a greater dynamic range than Sr, i.e., Sdr provides a more representative characterization of surface roughness, while both are valid and can be used interchangeable. The LSCM derived roughness is then integrated in a novel way with other petrophysical techniques including BET (Brunauer-Emmett-Teller) gas adsorption and NMR (nuclear magnetic resonance) relaxation. Typically, the NMR surface relaxivity (r2) is calibrated using the specific surface-area from BET gas adsorption, however, this drastically underestimates the pore size due to surface roughness effects. We use Sr (or Sdr) measured from LSCM to correct r2 for surface roughness effects, and thereby obtain the roughness-independent NMR pore-size distribution relevant for permeability, capillary pressure, and other surface-related petrophysical parameters. Good agreement is found with the roughness-independent micro-CT pore-size distribution, which validates our novel technique, and highlights the importance of surface roughness characterization in NMR petrophysics. Finally, an example of integrating the LSCM, BET and NMR techniques is presented for assessing the effect of aging a wide selection of cores in CO2 under reservoir conditions for prolonged times. All content contained within this webinar is copyrighted by Gabriela Singer and its use and/or reproduction outside the portal requires express permission from Gabriela Singer. Webinar recordings will be available on-demand within 1 business day of the webinar completion. For those who attended the live webinar, your certificate will be available in your “Learner Profile” within 1 business day of the webinar completion.
Credits
Earn credits by completing this course0.15 CEU credit1.5 PDH creditsSpeakers