Assessing pore network heterogeneity across multiple scales to inform CO2 injection models

Butler, Shane K.; Barajas-Olalde, César; Yu, Xue; Burton-Kelly, Matthew E.; Mibeck, Blaise A.F.; Kong, Lingyun; Kurz, Bethany A.; Crandall, Dustin

doi:10.1016/j.ijggc.2023.104017

Assessing pore network heterogeneity across multiple scales to inform CO2 injection models

Journal Article · Fri Dec 01 00:00:00 EST 2023 · International Journal of Greenhouse Gas Control

DOI:https://doi.org/10.1016/j.ijggc.2023.104017· OSTI ID:2217110

Butler, Shane K. ^[1]; ; Yu, Xue; Burton-Kelly, Matthew E.; Mibeck, Blaise A.F.; Kong, Lingyun; Kurz, Bethany A.;

EERC

Geologic heterogeneity is a key feature that must be considered when translations of scaled data are performed. This paper presents the assessment of geologic heterogeneity using a multiscale workflow that includes image analysis-based methods coupled with well log analysis to provide data in which fractals and machine learning methods estimate the carbon dioxide (CO₂) storage resource potential of a reservoir. The heterogeneity of rock properties of the complex Bell Creek reservoir in Montana, USA, was explored at the pore scale (~nm to mm), core scale (~mm to m), and well scale (~cm to m). The data used in this study included advanced image analysis of micro-CT (computed tomography) images (pore scale), thin sections (pore scale), plugs and core images (core scale) and well logs (well scale). The micro-CT images were segmented using a U-net segmentation approach into objects of pores and grains. Further, the segmented images were reconstructed into subvolumes of different sizes. Physical properties (porosity and permeability) and fractal dimensions were calculated for the various subvolumes, and Lorenz coefficient (Lc) values, a single parameter to describe the degree of heterogeneity within a pay zone section, were calculated from thin-section images and well logs. Porosity and fractal dimension values were used to estimate the 188-µm threshold of representative elementary volume (REV) in this study. Both the Lc and fractal dimension values were found to be negatively correlated. When these two parameters are combined, it is possible to discern differences in the complex porous networks of the samples analyzed in this study.

View Accepted Manuscript (DOE)

Research Organization:: Energy & Environmental Research Center (EERC), Grand Forks, ND (United States); National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)

Sponsoring Organization:: USDOE Office of Fossil Energy and Carbon Management (FECM)

Grant/Contract Number:: 89243318CFE000003

OSTI ID:: 2217110

Alternate ID(s):: OSTI ID: 2377635

Report Number(s):: NETL-2022/3331

Journal Information:: International Journal of Greenhouse Gas Control, Journal Name: International Journal of Greenhouse Gas Control Vol. 130; ISSN 1750-5836

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

References (42)

Influence of small‐scale fluvial architecture on CO ₂ trapping processes in deep brine reservoirs Gershenzon, Naum I.; Ritzi, Robert W.; Dominic, David F. Water Resources Research, Vol. 51, Issue 10 https://doi.org/10.1002/2015WR017638	journal	October 2015
Comparative analysis on pore‐scale permeability prediction on micro‐CT images of rock using numerical and empirical approaches Song, Rui; Wang, Yao; Liu, Jianjun Energy Science & Engineering, Vol. 7, Issue 6 https://doi.org/10.1002/ese3.465	journal	September 2019
Permeability Estimation of Regular Porous Structures: A Benchmark for Comparison of Methods Wagner, Arndt; Eggenweiler, Elissa; Weinhardt, Felix Transport in Porous Media, Vol. 138, Issue 1 https://doi.org/10.1007/s11242-021-01586-2	journal	April 2021
Mineral and pore structure characteristics of gas shale in Longmaxi formation: a case study of Jiaoshiba gas field in the southern Sichuan Basin, China Wang, Liang; Fu, Yonghong; Li, Jun Arabian Journal of Geosciences, Vol. 9, Issue 19 https://doi.org/10.1007/s12517-016-2763-5	journal	November 2016
Numerical tuning in reservoir simulation: it is worth the effort in practical petroleum applications Avansi, G.; Rios, V.; Schiozer, D. Journal of the Brazilian Society of Mechanical Sciences and Engineering, Vol. 41, Issue 1 https://doi.org/10.1007/s40430-018-1559-9	journal	January 2019
Calculating equivalent permeability: a review Renard, Ph.; de Marsily, G. Advances in Water Resources, Vol. 20, Issue 5-6 https://doi.org/10.1016/S0309-1708(96)00050-4	journal	October 1997
Fast laboratory-based micro-computed tomography for pore-scale research: Illustrative experiments and perspectives on the future Bultreys, Tom; Boone, Marijn A.; Boone, Matthieu N. Advances in Water Resources, Vol. 95 https://doi.org/10.1016/j.advwatres.2015.05.012	journal	September 2016
Predicting the effective mechanical property of heterogeneous materials by image based modeling and deep learning Li, Xiang; Liu, Zhanli; Cui, Shaoqing Computer Methods in Applied Mechanics and Engineering, Vol. 347 https://doi.org/10.1016/j.cma.2019.01.005	journal	April 2019
Overview of the Bell Creek Combined CO2 Storage and CO2 Enhanced Oil Recovery Project Hamling, J. A.; Gorecki, C. D.; Klapperich, R. J. Energy Procedia, Vol. 37 https://doi.org/10.1016/j.egypro.2013.06.570	journal	January 2013
Influence of Small Scale Heterogeneity on CO2 Trapping Processes in Deep Saline Aquifers Gershenzon, Naum I.; Soltanian, Mohamadreza; Ritzi, Robert W. Energy Procedia, Vol. 59 https://doi.org/10.1016/j.egypro.2014.10.363	journal	January 2014
4-D Seismic Monitoring of Injected CO2 Enhances Geological Interpretation, Reservoir Simulation, and Production Operations Burnison, Shaughn A.; Bosshart, Nicholas W.; Salako, Olarinre Energy Procedia, Vol. 114 https://doi.org/10.1016/j.egypro.2017.03.1539	journal	July 2017
Pore structure characterization of North American shale gas reservoirs using USANS/SANS, gas adsorption, and mercury intrusion Clarkson, C. R.; Solano, N.; Bustin, R. M. Fuel, Vol. 103 https://doi.org/10.1016/j.fuel.2012.06.119	journal	January 2013
Fractal characteristics of shales from a shale gas reservoir in the Sichuan Basin, China Yang, Feng; Ning, Zhengfu; Liu, Huiqing Fuel, Vol. 115 https://doi.org/10.1016/j.fuel.2013.07.040	journal	January 2014
Upscaling of geological properties in a world-class carbonate geothermal system in France: From core scale to 3D regional reservoir dimensions Thomas, Hadrien; Brigaud, Benjamin; Blaise, Thomas Geothermics, Vol. 112 https://doi.org/10.1016/j.geothermics.2023.102719	journal	July 2023
Capillary trapping for geologic carbon dioxide storage – From pore scale physics to field scale implications Krevor, Samuel; Blunt, Martin J.; Benson, Sally M. International Journal of Greenhouse Gas Control, Vol. 40 https://doi.org/10.1016/j.ijggc.2015.04.006	journal	September 2015
Joint impedance and facies inversion of time-lapse seismic data for improving monitoring of CO2 incidentally stored from CO2 EOR Barajas-Olalde, César; Mur, Alan; Adams, Donald C. International Journal of Greenhouse Gas Control, Vol. 112 https://doi.org/10.1016/j.ijggc.2021.103501	journal	December 2021
Patterns of temporal scaling of groundwater level fluctuation Yu, Xue; Ghasemizadeh, Reza; Padilla, Ingrid Y. Journal of Hydrology, Vol. 536 https://doi.org/10.1016/j.jhydrol.2016.03.018	journal	May 2016
A multiple fractal model for estimating permeability of dual-porosity media Li, Bo; Liu, Richeng; Jiang, Yujing Journal of Hydrology, Vol. 540 https://doi.org/10.1016/j.jhydrol.2016.06.059	journal	September 2016
An integrated and quantitative approach to petrophysical heterogeneity Fitch, Peter J. R.; Lovell, Mike A.; Davies, Sarah J. Marine and Petroleum Geology, Vol. 63 https://doi.org/10.1016/j.marpetgeo.2015.02.014	journal	May 2015
Reservoir characterization and production history matching of Lower Cretaceous, Muddy Formation in Ranch Creek area, Bell Creek oil field, Southeastern Montana, USA Sharaf, Essam F.; Sheikha, Hussain Marine and Petroleum Geology, Vol. 127 https://doi.org/10.1016/j.marpetgeo.2021.104996	journal	May 2021
Fractal and multifractal analysis: A review Lopes, R.; Betrouni, N. Medical Image Analysis, Vol. 13, Issue 4 https://doi.org/10.1016/j.media.2009.05.003	journal	August 2009
Evaluation of image segmentation techniques for image-based rock property estimation Purswani, Prakash; Karpyn, Zuleima T.; Enab, Khaled Journal of Petroleum Science and Engineering, Vol. 195 https://doi.org/10.1016/j.petrol.2020.107890	journal	December 2020
Machine learning-assisted upscaling analysis of reservoir rock core properties based on micro-computed tomography imagery Yu, Xue; Butler, Shane K.; Kong, Lingyun Journal of Petroleum Science and Engineering, Vol. 219 https://doi.org/10.1016/j.petrol.2022.111087	journal	December 2022
Pore scale study of flow in porous media: Scale dependency, REV, and statistical REV Zhang, Dongxiao; Zhang, Raoyang; Chen, Shiyi Geophysical Research Letters, Vol. 27, Issue 8 https://doi.org/10.1029/1999GL011101	journal	April 2000
Permeability-porosity relationship: A reexamination of the Kozeny-Carman equation based on a fractal pore-space geometry assumption Costa, Antonio Geophysical Research Letters, Vol. 33, Issue 2 https://doi.org/10.1029/2005GL025134	journal	January 2006
Measurements of the capillary trapping of super-critical carbon dioxide in Berea sandstone: MEASUREMENT OF CARBON DIOXIDE ENTRAPMENT Pentland, Christopher H.; El-Maghraby, Rehab; Iglauer, Stefan Geophysical Research Letters, Vol. 38, Issue 6 https://doi.org/10.1029/2011GL046683	journal	March 2011
On Representative Elementary Volumes of Grayscale Micro‐CT Images of Porous Media Singh, Ankita; Regenauer‐Lieb, Klaus; Walsh, Stuart D. C. Geophysical Research Letters, Vol. 47, Issue 15 https://doi.org/10.1029/2020GL088594	journal	August 2020
Small‐Scale Capillary Heterogeneity Linked to Rapid Plume Migration During CO ₂ Storage Jackson, Samuel J.; Krevor, Samuel Geophysical Research Letters, Vol. 47, Issue 18 https://doi.org/10.1029/2020GL088616	journal	September 2020
Fractal pore space and rock permeability implications Hansen, J. P.; Skjeltorp, A. T. Physical Review B, Vol. 38, Issue 4 https://doi.org/10.1103/PhysRevB.38.2635	journal	August 1988
Fractal Sandstone Pores: Implications for Conductivity and Pore Formation Katz, A. J.; Thompson, A. H. Physical Review Letters, Vol. 54, Issue 12 https://doi.org/10.1103/PhysRevLett.54.1325	journal	March 1985
Surface Roughening and the Fractal Nature of Rocks Wong, Po-zen; Howard, James; Lin, Jar-Shyong Physical Review Letters, Vol. 57, Issue 5 https://doi.org/10.1103/PhysRevLett.57.637	journal	August 1986
Carbonate Geobodies: Hierarchical Classification and Database – a new Workflow for 3d Reservoir Modelling Jung, A.; Aigner, T. Journal of Petroleum Geology, Vol. 35, Issue 1 https://doi.org/10.1111/j.1747-5457.2012.00518.x	journal	December 2011
Predicting the impact of sedimentological heterogeneity on gas–oil and water–oil displacements: fluvio-deltaic Pereriv Suite Reservoir, Azeri–Chirag–Gunashli Oilfield, South Caspian Basin Choi, Kevin; Jackson, Matthew D.; Hampson, Gary J. Petroleum Geoscience, Vol. 17, Issue 2 https://doi.org/10.1144/1354-079310-013	journal	April 2011
Comparison of seismic upscaling methods: From sonic to seismic Tiwary, Dileep K.; Bayuk, Irina O.; Vikhorev, Alexander A. GEOPHYSICS, Vol. 74, Issue 2 https://doi.org/10.1190/1.3054144	journal	March 2009
Quantifying the Impact of Permeability Heterogeneity on Secondary-Recovery Performance Rashid, B. .; Muggeridge, A. H. . H.; Bal, A. . SPE Journal, Vol. 17, Issue 02 https://doi.org/10.2118/135125-PA	journal	January 2012
A New Method for Estimating the Dykstra-Parsons Coefficient To Characterize Reservoir Heterogeneity Jensen, Jerry L.; Currie, Iain D. SPE Reservoir Engineering, Vol. 5, Issue 03 https://doi.org/10.2118/17364-PA	journal	August 1990
A Practical Approach to Defining Reservoir Heterogeneity Alpay, O. Allen Journal of Petroleum Technology, Vol. 24, Issue 07 https://doi.org/10.2118/3608-PA	journal	July 1972
Practical Aspects of Scaleup of Simulation Models Stern, David Journal of Petroleum Technology, Vol. 57, Issue 09 https://doi.org/10.2118/89032-JPT	journal	September 2005
Practical Aspects of Upscaling Geocellular Geological Models for Reservoir Fluid Flow Simulations: A Case Study in Integrating Geology, Geophysics, and Petroleum Engineering Multiscale Data from the Hunton Group Milad, Benmadi; Ghosh, Sayantan; Slatt, Roger Energies, Vol. 13, Issue 7 https://doi.org/10.3390/en13071604	journal	April 2020
New Method of Oil Reservoir Rock Heterogeneity Quantitative Estimation from X-ray MCT Data Yazynina, Irena Viktorovna; Shelyago, Evgeny Vladimirovich; Abrosimov, Andrey Andreevich Energies, Vol. 14, Issue 16 https://doi.org/10.3390/en14165103	journal	August 2021
Multi-Path U-Net Architecture for Cell and Colony-Forming Unit Image Segmentation Jumutc, Vilen; Bļizņuks, Dmitrijs; Lihachev, Alexey Sensors, Vol. 22, Issue 3 https://doi.org/10.3390/s22030990	journal	January 2022
Pore- to Field-Scale Multi-Phase Upscaling for IOR (SPE94191) Lerdahl, T. R.; Rustad, A. B.; Theting, T. G. 67th EAGE Conference & Exhibition https://doi.org/10.3997/2214-4609-pdb.1.B041	conference	January 2005

Similar Records

Machine learning-assisted upscaling analysis of reservoir rock core properties based on micro-computed tomography imagery

Journal Article · Wed Sep 28 20:00:00 EDT 2022 · Journal of Petroleum Science and Engineering · OSTI ID:2422565

Long-term Differences in Tillage and Land Use Affect Intra-aggregate Pore Heterogeneity

Journal Article · Thu Oct 25 00:00:00 EDT 2012 · Soil Sci. Soc. Am. J. · OSTI ID:1045694

Related Subjects

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
58 GEOSCIENCES
Carbon storage
Fractal dimension
Heterogeneity
Multiscale
Optical porosity
multiscale
optical porosity
carbon storage
fractal dimension
heterogeneity

Assessing pore network heterogeneity across multiple scales to inform CO2 injection models

Citation Formats

References (42)

Similar Records

Related Subjects