Results From Continuous Downhole Monitoring (PDG) at a Field-Scale CO2 Sequestration Demonstration Project, Cranfield, MS

Author(s):  
Timothy Meckel ◽  
Susan Hovorka
Author(s):  
Cris Weber ◽  
Juan Moya ◽  
Brian Halm ◽  
Randall Tucker ◽  
Reuben Trevino ◽  
...  

Field deployment for scale model evaluation of an innovative sediment bypassing/back-passing system developing technologies to support present and future sustainable beach nourishment programs and projects on Galveston Island. This is a field scale demonstration project modeling a system designed to harvest beach quality sand using a hybrid, closed system that collects transported bedload material using gravity and natural energies, without any suction component, as sediment is mobilized along the coast through longshore currents and wave energy. The analysis and results of the field deployment will be presented.


2021 ◽  
Vol 111 ◽  
pp. 103471
Author(s):  
Yves Guglielmi ◽  
Christophe Nussbaum ◽  
Frédéric Cappa ◽  
Louis De Barros ◽  
Jonny Rutqvist ◽  
...  

2021 ◽  
Author(s):  
Xueying Lu ◽  
Kirk E. Jordan ◽  
Mary F. Wheeler ◽  
Edward O. Pyzer-Knapp ◽  
Matthew Benatan

Abstract We present a framework of the application of Bayesian Optimization (BO) to well management in geological carbon sequestration. The coupled compositional flow and poroelasticity simulator, IPARS, is utilized to accurately capture the underlying physical processes during CO2 sequestration. IPARS is coupled to IBM Bayesian Optimization (IBO) for parallel optimizations of CO2 injection strategies during field-scale CO2 sequestration. Bayesian optimization builds a probabilistic surrogate for the objective function using a Bayesian machine learning algorithm, Gaussian process regression, and then uses an acquisition function that leverages the uncertainty in the surrogate to decide where to sample. IBO addresses the three weak points of the standard BO in that it supports parallel (batch) executions, scales better for high-dimensional problems, and is more robust to initializations. We demonstrate these algorithmic merits by an application to the optimization of the CO2 injection schedule in the Cranfield site using field data. The performance is benchmarked with genetic algorithm (GA) and covariance matrix adaptation evolution strategy (CMA-ES). Results show that IBO achieves competitive objective function value with over 60% less number of forward model evaluations. Furthermore, the Bayesian framework that BO builds upon allows uncertainty quantification and naturally extends to optimization under uncertainty.


2020 ◽  
Vol 115 (2) ◽  
pp. 303-323 ◽  
Author(s):  
Jessica L. Hamilton ◽  
Siobhan A. Wilson ◽  
Bree Morgan ◽  
Anna L. Harrison ◽  
Connor C. Turvey ◽  
...  

Abstract Accelerated carbonation of ultramafic mine tailings has the potential to offset CO2 emissions produced by mining ores from Cu-Ni-platinum group element, podiform chromite, diamondiferous kimberlite, and historical chrysotile deposits. Treatments such as acid leaching, reaction of tailings with elevated concentrations of gaseous CO2, and optimization of tailings pore water saturation have been shown to enhance CO2 sequestration rates in laboratory settings. The next challenge is to deploy treatment technologies on the pilot and field scale while minimizing cost, energy input, and adverse environmental impacts. Implementation of accelerated tailings carbonation at field scale will ideally make use of in situ treatments or modified ore-processing routes that employ conventional technology and expertise and operate at close to ambient temperatures and pressures. Here, we describe column experiments designed to trial two geochemical treatments that address these criteria: (1) direct reaction of partially saturated ultramafic tailings with synthetic flue gas from power generation (10% CO2 in N2) and (2) repeated heap leaching of ultramafic tailings with dilute sulfuric acid. In the first experiment, we report rapid carbonation of brucite [Mg(OH)2] in the presence of 10% CO2 gas within tailings sampled from the Woodsreef chrysotile mine, New South Wales, Australia. Within four weeks, we observe a doubling of the amount of CO2 stored within minerals relative to what is achieved after three decades of passive mineral carbonation via air capture in the field. Our simulated heap leaching experiments, treated daily with 0.08 M H2SO4, produce high-Mg leachates that have the potential to sequester 21.2 kg CO2 m–2 y–1, which is approximately one to two orders of magnitude higher than the rate of passive carbonation of the Woodsreef mine tailings. Although some nesquehonite (MgCO3 · 3H2O) forms from these leachates, most of the Mg is precipitated as Mg sulfate minerals instead. Therefore, an acid other than H2SO4 could be used; otherwise, sulfate removal would be required to maximize CO2 sequestration potential from acid heap leaching treatments. Reactive transport modeling (MIN3P) is employed to simulate acid leaching experiments and predict the effects of heap leaching for up to five years. Finally, our synchrotron X-ray fluorescence microscopy results for leached tailings material reveal that valuable trace metals (Fe, Ni, Mn, Co, Cr) become highly concentrated within secondary Fe (hydr)oxide minerals at the pH neutralization horizon within our column experiments. This discrete horizon migrates downward, and our reactive transport models indicate it will become increasingly enriched in first-row transition metals in response to continued acid leaching. Acid-leaching treatments for accelerated mineral carbonation could therefore be useful for ore processing and recovery of base metals from tailings, waste rock, or low-grade ores.


2021 ◽  
Author(s):  
Similoluwa Oduwole ◽  
Luis E. Zerpa ◽  
Mathias Pohl ◽  
Jyoti Behura ◽  
Manika Prasad

2017 ◽  
Vol 28 (3) ◽  
pp. 457-472 ◽  
Author(s):  
Guodong Yang ◽  
Yilian Li ◽  
Aleks Atrens ◽  
Danqing Liu ◽  
Yongsheng Wang ◽  
...  

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