Quantifying the effects of depositional environment on deep saline formation co2 storage efficiency and rate
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Bosshart, Nicholas W.↗
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Simulated CO 2 storage efficiency factors for saline formations of various lithologies and depositional environments using new experimental relative permeability data
Saline formations are attractive geologic reservoirs for permanent carbon dioxide (CO 2 ) storage. Here, the U.S. Department of Energy's National Energy Technology Laboratory (DOE-NETL) has worked to develop and refine methods and tools for the calculation of CO 2 storage potential in subsurface reservoirs. DOE-NETL's CO 2 -SCREEN provides an online tool for executing these storage methods. CO 2 storage efficiency terms are input parameters in DOE-NETL's methods and equations embedded in the CO 2 -SCREEN, which assesses pore space available for CO 2 storage. In this work, a modeling workflow was initiated to refine two CO 2 storage efficiency terms - volumetric displacement (E V ) and microscopic displacement (E d ). The models are based on new experimental relative permeability data that are specific to homogenous lithology and depositional environments of key subsurface saline formations targeted for CO 2 storage. In future work, heterogenous features will be added to this initial modeling effort to update efficiency factors as described in DOE-NETL's methods and CO 2 -SCREEN tool. E V accounts for the volume utilized in the reservoir under the areal plume, while E d accounts for saturation values in the plume to assess efficiency of CO 2 storage at the pore scale. The results of this work are significant in that prior values were based on a limited geologically non-specific relative permeability data set that were collected prior to 2009. Specifically, we applied numerical simulations using TOUGH3 models to update CO 2 storage efficiency values for supercritical CO 2 injection into brine-saturated reservoirs for three lithologies (clastics, limestone, dolomite) and six depositional environments (Marginal Marine, Strand Plain, Deltaic Complex Fluvial, Aeolian, Shallow Marine, and Reef) that have a high potential for geologic CO 2 storage. Experimental relative permeability data in cores from these environments were utilized in the models with corresponding rock type/sedimentary environment. Results of this study showed that dolomite followed by limestone generated higher ranges of storage efficiency compared to clastics. The updated values provided a tighter efficiency range for clastics, lower P 10 but higher P 90 range for limestone, and higher P 10 and P 90 for dolomite. In general, tighter reservoirs with relatively low permeability and porosity were associated with higher E V and E d , showing efficient reservoir and pore utilization in these scenarios. High reservoir pressure and temperature associated with increasing depth increased the E V , and high CO 2 injection rates resulted in increases in E V and E d , while the impact of permeability anisotropy was minimal after the 30-year injection period.
03 NATURAL GAS↗
Numerical Simulations of CO2 Storage Efficiencies for Saline Formations Using Experimental Relative Permeabilities and Petrophysical Properties Derived from Well Logs
AAPG-CCUS Conference, Virtual, March 29-31, 2022
Haeri, Foad↗
DOE-IEAGHG Study: CO 2 Storage Efficiency in Deep Saline Formations – Stage 2
Poster presented at Mastering the Subsurface Through Technology Innovation and Collaboration: Carbon Storage and Oil and Natural Gas Technologies Review Meeting, Pittsburgh, Pennsylvania, August 16–18, 2016. The aim of this study is to build upon and expand the work of the Stage 1 study. The Stage 2 study begins the transition from effective storage resource assessment to practical storage capacity estimation by investigating the range of storage efficiency that is achievable within a more urgent time frame (50-year injection period) while also considering economics. To do this, the project is investigating two geologic formations that have been previously considered for CO 2 storage. The Minnelusa Formation of the North American Powder River Basin, which was investigated in the Stage 1 study, will be reexamined to provide continuity with the previous work and allow for direct comparison of the current work with previous efforts. The study will also investigate the Bunter Sandstone located in the United Kingdom sector of the Southern North Sea Basin to provide an offshore and European counterpoint to the continental setting of the Minnelusa.
58 GEOSCIENCES↗
CO 2 Storage Efficiency in Deep Saline Formations – Stage 2
Presented at Mastering the Subsurface Through Technology Innovation, Partnerships and Collaboration: Carbon Storage and Oil and Natural Gas Technologies Review Meeting, Pittsburgh, Pennsylvania, August 1–3, 2017. The proposed project will build upon the framework established through Stage 1 project work (IEAGHG, 2014) to improve the understanding of the CO2 storage resource/capacity and efficiency that may be achievable in a limited geologic storage area within a time frame of 50 years. Stage 1 compared volumetrically and dynamically derived effective CO 2 storage efficiency factors on a basin-wide scale for injection programs requiring hundreds to thousands of years. The overall goal of the proposed Stage 2 work is to create similar comparisons, but limited by a range of constraints designed to reflect timing and realities of potential large-scale commercial injection projects (e.g., shorter injection period). Additionally, a remaining technical concern from the Stage 1 study will be addressed: specifically, the uncertainty of the effect that grid cell size has on calculation of CO 2 dissolved in formation brine.
58 GEOSCIENCES↗
Results of CO2 Storage Efficiency in Deep Saline Formations – Stage 2
Conference paper presented at 14th International Conference on Greenhouse Gas Control Technologies (GHGT-14), Melbourne, Australia, October 12–25, 2018. Previous dynamic simulations indicate that it may take hundreds of years and an unrealistic number of wells to approach a static volumetrically derived estimate of storage capacity and efficiency for an actual large-scale CO 2 storage development. This study shows how efficiency factors may be influenced by key parameters of practical project development, such as a 50-year injection period, number of wells and drilling sequence, onshore vs. offshore conditions, and increasing unit storage cost as development intensifies. Two potential storage formations were investigated: the Minnelusa Formation of the Powder River Basin and the Bunter Sandstone of the North Sea Basin.
58 GEOSCIENCES↗
Storage and Read-Optimized Data Placement Structures for High-Performance Analysis [Book Chapter]
Here, we present state-of-art structures and methods for efficient data preparation and representation for analysis. Our intent is to introduce the data science and analytics communities to open source data placements, structures, and methods. These practices can make the foundational processes of data preparation and access dramatically more efficient than typical raw file or database representations and use more conservative storage. To illustrate this, we introduce two highly efficient data placement structures. We then present a tutorial, supported by step-by-step examples, of how to create, use, and access data, structured by Parquet or ORC (Optimized Row Columnar), using Apache Spark. Finally, we illustrate the benefits of using these structures with computational and storage volume benchmarks.
97 MATHEMATICS AND COMPUTING↗
Impact of Rock Wettability and Mineralization on CO 2 Storage Efficiency in Basalt Reservoirs
Basalt formations have emerged as highly promising targets for geological CO 2 storage due to their abundance of reactive silicate minerals that can rapidly convert dissolved CO 2 into stable carbonate minerals. The efficiency of CO 2 trapping in basalts, however, depends not only on their geochemical reactivity but also on reservoir wettability, which governs how CO 2 partitions among structural, residual, solubility, and mineral trapping mechanisms. However, wettability and mineral kinetics have largely been examined separately, wettability for plume migration and kinetics in terms of mineralization, leaving their coupled impact unquantified. Here, we systematically integrate th ese processes in a reservoir-scale reactive transport model to quantify the impact of three distinct wettability conditions (water-wet, mixed-wet, and CO 2 -wet) on plume migration, mineral precipitation, pore-scale blockage, and long-term immobilization. Results show that under ideal conditions (no mineralization), water-wet systems exhibited plume aspect ratios up to 28% higher than CO 2 -wet systems and promoted at least 60% greater residual trapping. When mineralization was incorporated, mineral trapping accounted for 57%, 53%, and 46% of the total immobilized CO 2 in water-wet, mixed-wet, and CO 2 -wet systems, respectively. Dissolved CO 2 contributed 43-46%, while residual trapping remained below 5%, and mobile CO 2 was substantially reduced due to mineralization, demonstrating that as the system becomes more water-wet, CO 2 is more effectively converted into stable carbonate minerals, although extensive mineral precipitation may lead to pore clogging. A global Sobol-Morris sensitivity analysis further reveals that the kinetic parameters of reactive minerals are the most influential factor, followed by wettability, while salinity has only a minor influence. Furthermore, these findings highlight that wettability is not merely a flow property but a fundamental control on CO 2 mineralization in basalts, with direct implications for site selection for storage projects.
Basalts↗
CO 2 Storage prospeCtive Resource Estimation Excel aNalysis (CO 2 -SCREEN) User’s Manual: Python_V5.0
This user’s manual guides the use of the National Energy Technology Laboratory’s (NETL) CO 2 Storage prospeCtive Resource Estimation Excel aNalysis (CO 2 -SCREEN) tool, which was developed to aid users screening geologic formations for prospective CO 2 storage resources. This manual is specific to the CO 2 -SCREEN 5.0 version which is based in Python. The 5.0 version of CO 2 -SCREEN adds in newly updated storage efficiency factors for saline formations for open storage reservoirs and new capability to calculate CO 2 storage in closed and semi-closed storage reservoirs.
58 GEOSCIENCES↗
Experimental Results of Ice Formation at Low Temperatures and Pressures
ISRU for water capture on the moon is important for sustained lunar presence. Storage of water as a solid provides an efficient method of transfer. Understanding of low-pressure ice formation is critical for efficient storage and transport of the ice. Generating a thermal model allows for optimization of pressure and temperature conditions without extensive testing.
Frost Growth↗
Central data system concepts for spacecraft data management.
Deep space solar probe central data system design concepts for high data sampling rates, data processing, data storage and efficient transmission format
Bello, L. M.↗
CO 2 Storage prospeCtive Resource Estimation Excel aNalysis (CO 2 -SCREEN) User’s Manual: Python_V4.1
This user’s manual guides the use of the National Energy Technology Laboratory’s (NETL) CO 2 Storage prospeCtive Resource Estimation Excel aNalysis (CO 2 -SCREEN) tool, which was developed to aid users in screening geologic formations for prospective CO 2 storage resources. This manual is specific to the CO 2 -SCREEN 4.1 version which is based in Python. The 4.1 version of CO 2 -SCREEN adds in newly updated storage efficiency factors for saline formations. CO 2 -SCREEN applies U.S. Department of Energy (DOE) methods and equations for estimating prospective CO 2 storage resources for saline formations, shale formations, and residual oil zones (ROZ). CO 2 -SCREEN was developed to be substantive and user-friendly and provide a consistent method for calculating prospective CO 2 storage resources. CO 2 -SCREEN uses a Java- based graphical user interface (GUI) for data inputs and uses Python to calculate prospective CO 2 storage resources.
54 ENVIRONMENTAL SCIENCES↗
Renewable energy storage via efficient reversible hydrogenation of piperidine captured CO 2
The storage of renewable energy is the major hurdle during the transition of fossil resources to renewables. A possible solution is to convert renewable electricity to chemical energy carriers such as hydrogen for storage. In this paper, a highly efficient formate-piperidine-adduct (FPA) based hydrogen storage system was developed. This system has shown rapid reaction kinetics of both hydrogenation of piperidine-captured CO 2 and dehydrogenation of the FPA over a carbon-supported palladium nano-catalyst under mild operating conditions. Moreover, the FPA solution based hydrogen storage system is advantageous owing to the generation of high-purity hydrogen, which is free of carbon monoxide and ammonia. In situ ATR-FTIR characterization was performed in order to provide insight into the reaction mechanisms involved. Finally, by integrating this breakthrough hydrogen storage system with renewable hydrogen and polymer electrolyte membrane fuel cells (PEMFC), in-demand cost-effective rechargeable hydrogen batteries could be realized for renewable energy storage.
25 ENERGY STORAGE↗
Documentation for the machine-readable version of the Morphological Catalogue of Galaxies (MCG) of Vorontsov-Velyaminov et al, 1962-1968
Modifications, corrections, and the record format are provided for the machine-readable version of the "Morphological Catalogue of Galaxies.' In addition to hundreds of individual corrections, a detailed comparison of the machine-readable with the published catalogue resulted in the addition of 116 missing objects, the deletion of 10 duplicate records, and a format modification to increase storage efficiency.
Warren, W. H., Jr.↗
Supporting HEP Data as the Exascale Era Approaches
We describe our work on the use of HPC data formats and storage technologies to efficiently describe, store and access High Energy Physics (HEP) data. In the HEP community, important data sets are large, currently at the scale of tens of PiB, and are expected to grow dramatically in the next decade. These data require different data representations—ranging from complex C++ objects to tabular data—that are used at the many varied stages of data analysis. Traditionally, these data have been stored in large collections of files at each stage. This approach does not scale well on HPC resources. To obtain good scalability, without requiring that analysts have parallel programming expertise, our work stresses the use of HPCoptimized tools and implicit data-parallelism. We describe data organization and the performance and scaling of data processing using examples from three HEP experiments (LArIAT, NOvA and DUNE), and for three different stages of analysis. We compare the performance of our HPC-oriented solutions to the traditional HEP approaches.
Buchanan, Norman↗
Thermal Activation of a Copper-Loaded Covalent Organic Framework for Near-Ambient Temperature Hydrogen Storage and Delivery
Copper(II) formate is efficiently incorporated into the pores of a 2D imine-based covalent organic framework (COF) via coordination with the phenol and imine groups. The coordinated metal ion is then reduced to Cu(I) with a thermal treatment that evolves CO 2 . After loading with hydrogen gas, the majority of H 2 desorbs from the coordinatively saturated Cu(II) COF at temperatures < -100 degrees C. However, the activated Cu(I) COF retains adsorbed H 2 above room temperature. Adsorption/desorption of H 2 was highly reversible. Diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) strongly supports a molecular hydrogen interaction with Cu(I). A Kissinger analysis of variable ramp rate desorption experiments estimates the enthalpy of H 2 desorption from Cu(I) at 15 kJ mol -1 . The results represent an advance toward practical H 2 storage and delivery in a lightweight, stable, and highly versatile material.
08 HYDROGEN↗
Advanced Characterization of Unconventional Oil and Gas Reservoirs to Enhance CO 2 Storage Resource Estimates
Poster presented at Mastering the Subsurface Through Technology Innovation and Collaboration: Carbon Storage and Oil and Natural Gas Technologies Review Meeting, Pittsburgh, Pennsylvania, August 16–18, 2016. To improve our understanding of the key geologic factors that influence CO 2 storage resource estimates in unconventional formations and to better define the efficiency factors associated with each key parameter, the Energy & Environmental Research Center (EERC) recently began a collaboration with the U.S. Department of Energy (DOE) National Energy Technology Laboratory (NETL) and Hitachi High Technologies to develop analytical techniques to better understand and quantify the distribution of clay minerals, organics, porosity, and fracture characteristics in representative shale and tight rock samples. A key goal of this project is to more efficiently identify and quantify key features that could affect CO 2 storage in unconventional formations.
02 PETROLEUM↗
Basin-scale analysis of Mokelumne River Formation for multi-well CO 2 injection
Large-scale carbon sequestration will likely require multiple projects injecting CO 2 into the same subsurface formation, raising concerns about safe operation and efficient use of storage capacity. This study evaluates the long-term response of the Mokelumne River Formation in California’s Sacramento Basin to multi-megaton CO 2 injection using three geologic models of the formation and the open-source simulator GEOS. The analysis focuses on three aspects of reservoir performance: (1) average pressure increase and dissolved CO 2 mass after 30 years for varying well counts and injection rates, (2) pressure interference in a multi-well configuration, and (3) dynamic storage capacity with identification of overpressure-prone regions. The results show that average formation pressure increases linearly with injected mass, while CO 2 dissolution exhibits mixed scaling: approximately linear with the number of wells but sublinear with injection rate, indicating that distributing injection across more wells enhances dissolution more effectively than increasing per-well rates. Pressure-interference effects are significant, with lower-permeability conditions delaying their onset but amplifying their magnitude at later times. Dynamic capacity, defined by the first occurrence of pressure exceeding the local overburden-based limit anywhere in the formation, varies across geologic models and assumed overburden pressure gradients. A lower fidelity geologic model predicts nearly twice the storage capacity of the two higher fidelity models, which consistently estimate approximately 1 Gt under the upper-bound overburden pressure gradient considered for the Sacramento Basin. In all model scenarios, overpressure develops away from injection wells, particularly in higher-elevation regions, highlighting the importance of basin-scale modelling for identifying risks beyond the immediate well vicinity.
Basin-scale↗