MétaCan
Menu
Back to cohort
Record W4297953724 · doi:10.2172/1874344

Geologic Modeling and Simulation Report for the Aquistore Project

2014· report· en· W4297953724 on OpenAlexaboutno aff
Wesley Peck, Robert Klenner, Guoxiang Liu, Charles D. Gorecki, Edward N. Steadman, John A. Harju

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEnvironmental Science
TopicCO2 Sequestration and Geologic Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental sciencePower stationGeologyMining engineeringHydrology (agriculture)Petroleum engineeringEngineeringGeotechnical engineering

Abstract

fetched live from OpenAlex

The Plains CO2 Reduction (PCOR) Partnership, through the Energy & Environmental Research Center (EERC), in collaboration with the Petroleum Technology Research Centre (PTRC), has constructed static and dynamic geologic models to simulate and assess the potential carbon dioxide (CO2 ) storage at the Aquistore site. The Aquistore project is part of the world’s first commercial postcombustion carbon capture, utilization, and storage project from a coal-fired power-generating facility, the SaskPower Boundary Dam, located in Saskatchewan, Canada, and will be acting as a storage site for a portion of the captured CO2 from the Boundary Dam power plant. The Aquistore site includes one injection well and a 500-foot offset observation well. Both wells were drilled and completed in the Deadwood and Black Island Formations. At the time of this report, injection at the Aquistore site is anticipated to begin in mid- to late 2014. To better understand the storage implications of injecting at the Aquistore site, the EERC developed a geocellular model of the basal saline system for the dual purposes of determining the static CO2 storage capacity and as a basis to run detailed reservoir simulation to determine injectivity, dynamic storage capacity, and breakthrough time at the observation well. To compensate for a lack of well control locally, a regional-scale model was first constructed to determine the regional stratigraphic reservoir and nonreservoir zones. From this regional model, a fine-scale model was confined to the extent of the 13.1-square-mile PTRC 3-D seismic survey area, with higher structural resolution. Integration of the data derived from the regional model and the data from the 3-D seismic survey helped create a robust and heterogeneous model around the Aquistore injection well and the observation well. As a first pass, the detailed 13.1-square-mile model was used to estimate a static storage capacity employing the U.S. Department of Energy methodology and resulted in a range of static storage resource of approximately 8.4 to 27.1 Mt for the P10 to P90 confidence intervals, respectively. This result indicated that our model was probably big enough to model a short- to medium-duration injection of perhaps 5–30 years at 1 Mt/yr; however, it may be too small to adequately simulate a 50-year injection period. To further evaluate the targeted saline system, and thus its viability as a potential storage horizon for CO2 , the geocellular model was used as the framework for an assessment of the dynamic storage capacity of the system. Two scenarios were designed based on the static geologic model. The first investigated the injectivity of the system and the timing of CO2 breakthrough at the observation well in a 13.1-mi 2 area. The second scenario, which will be detailed in a subsequent report, encompasses a 3670-mi 2 area. As part of this investigation, core plug analysis and relative permeability studies were also conducted on samples provided from the injection well core. Information from these analyses was integrated into the construction of the geocelluar model and the dynamic simulations and will be provided in a subsequent report. A total of nine simulation cases were run to investigate factors such as boundary conditions, injection rates, and time length. The injection duration for these scenarios was set at 1, 5, and 50 years, and the injection rates were set at 1 Mt/yr and 0.3 Mt/yr. Although the maximum injection rate in the model was set as 1 Mt/yr, the maximum attained in the model was 0.73 Mt/yr because of bottomhole pressure limitations. The total mass of CO2 injected in the 50-year cases ranged from 1.5 to 33.6 Mt, with the large range in values a result of changing the boundary conditions from closed to open. CO2 storage values for the 5-year cases range from 1.5 to 3.6 Mt, and those for the 1-year cases range from 0.3 to 0.7 Mt. An important aspect of this investigation with regard to potential monitoring efforts is the timing of CO2 breakthrough at the observation well. The earliest breakthrough occurred between 10 and 15 days at the higher injection rate (0.73 Mt/yr), and the projected CO2 path follows the top reservoir zone of the Deadwood Formation. At the lower injection rate (0.3 Mt/yr), breakthrough happens between 25 and 30 days after injection and follows the same path. Overall, CO2 breakthrough in most of the reservoir zones happens in about 3 months for the low injection rate; this time is reduced to 45 days at the higher rate. Based on the information derived from the various simulation cases, the CO2 breakthrough will most likely happen in the first month of injection regardless of the injection rate and assumptions of relative permeability. Based on the simulation results, the storage of CO2 in the study area using the existing two-well configuration is feasible, depending on the volume of CO2 that need to be injected and stored from the neighboring Boundary Dam power plant. Generally, the maximum injectivity for the current injection well could reach 0.73 Mt/yr based on the geological characterization of the study area. However, this could be improved through optimization operations such as adding additional injection wells, utilizing formation water extraction wells, and/or the use of horizontal injection wells. All of these additional optimization techniques will be investigated in the next phase of work and reported on in a subsequent report. In addition, the larger regional-size model will be utilized to provide better insights with respect to a commercial-scale injection rate over a long period of time. Finally, future work will also include geomechanical, geochemical, and geothermal behaviors and integrate them throughout the entire modeling and simulation process to investigate the role these variables may play in CO2 storage at the Aquistore site.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.072
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.098
GPT teacher head0.368
Teacher spread0.271 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2014
Admission routes1
Has abstractyes

Explore more

Same topicCO2 Sequestration and Geologic InteractionsFrench-language works237,207