2017
DOI: 10.1016/j.chemgeo.2017.07.005
|View full text |Cite
|
Sign up to set email alerts
|

Reactive transport modelling of hydrothermal dolomitisation using the CSMP++GEM coupled code: Effects of temperature and geological heterogeneity

Abstract: University of Bristol -Explore Bristol Research General rightsThis document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Full terms of use are available: http://www.bristol.ac.uk/pure/about/ebr-terms Reactive transport modelling of hydrothermal dolomitisation using the CSMP++GEM coupled code:Effects of temperature and geological heterogeneity AbstractReactive transport simulations using our CSMP++GEM coupled code were applied to stu… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

3
18
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 13 publications
(21 citation statements)
references
References 33 publications
3
18
0
Order By: Relevance
“…fronts perpendicular to the plane of the fault, where model resolution is also higher, are within a single 10 m wide cell. This is in the same order of magnitude as those predicted by 2D simulations of HTDs formed by flow along through-going faults (Yapparova et al, 2017), and also many field examples with sharp dolomitisation fronts (Grandia et al, 2003;Nurkhanuly and Dix, 2014;Shah et al, 2012). Detailed analysis of dolomitisation fronts within fault-controlled dolomite bodies in nature are remarkably understudied, however, and are likely complex; for example, Koeshidayatullah et al (2020b) show that reaction fronts can back-step in time, as progressive phases of recrystallization result in porosity reduction (overdolomitisation), restricting the extent to which subsequent fluids can flux away from the fault.…”
Section: Characterisation Of Dolomite Frontssupporting
confidence: 76%
See 1 more Smart Citation
“…fronts perpendicular to the plane of the fault, where model resolution is also higher, are within a single 10 m wide cell. This is in the same order of magnitude as those predicted by 2D simulations of HTDs formed by flow along through-going faults (Yapparova et al, 2017), and also many field examples with sharp dolomitisation fronts (Grandia et al, 2003;Nurkhanuly and Dix, 2014;Shah et al, 2012). Detailed analysis of dolomitisation fronts within fault-controlled dolomite bodies in nature are remarkably understudied, however, and are likely complex; for example, Koeshidayatullah et al (2020b) show that reaction fronts can back-step in time, as progressive phases of recrystallization result in porosity reduction (overdolomitisation), restricting the extent to which subsequent fluids can flux away from the fault.…”
Section: Characterisation Of Dolomite Frontssupporting
confidence: 76%
“…Following the early work of Wilson et al (2001) and Jones and Xiao (2005), over the past decade process-based numerical modelling of heat and fluid flow coupled with simulation of water-rock reactions using reactive transport models (RTMs) have contributed to understanding of shallow, relatively low-temperature dolomitisation (Al-Helal et al, 2012;Garcia-Fresca, 2009;Whitaker and Xiao, 2010;Xiao et al, 2013). RTM simulations of HTD have focussed on understanding controls on the nature of dolomitisation fronts, which are characteristically sharp in fault-related dolomites, and on the development of fault-associated stratabound dolostone bodies (Corbella et al, 2014;Xiao et al, 2013;Yapparova et al, 2017). These studies demonstrate the importance of the geometry of the fault, termination of the fault against a sealing layer and distribution of permeability and precursor mineralogy in the country rock, but are all predicated on a supply of hot, Mg 2+ -rich fluid at the base of the fault.…”
Section: Introductionmentioning
confidence: 99%
“…Simulations of structurally complex reservoirs are particularly challenging as they comprise discrete structures with properties that contrast strongly with those of the country rock and range over vastly different length scales (Matthäi et al, 2007). Variations in permeability and fault zone thickness are fundamental controls on fluid circulation and subsequent mineralisation distribution (Guillou-Frottier et al, 2020;Harcouët-Menou et al, 2009), whereas the effect on hydrothermal convection of other parameters, such as porosity, is considerably less significant (Gow et al, 2002;Kühn et al, 2006;Zhao et al, 2003). However, our models do not attempt to capture the complexities of flow within FDZs, for which the porous media formulation employed by TOUGHREACT is inappropriate.…”
Section: Model Limitations and New Insights From Simulations Of Dolommentioning
confidence: 99%
“…Metal leaching, transport and precipitation in nature depends on chemical speciation and therefore also on other parameters like pH and redox conditions. However, full reactive-transport modelling rather focusses on lower-temperature and geochemically less complex systems (Yao & Demicco, 1997;Yapparova et al, 2017bYapparova et al, , 2017a and the thermodynamic databases that can cover chemical speciation for base metal transport at such high temperatures are currently still under development, e.g. investigating the roles of chloride and bisulfide complexing for metal transport (Etschmann et al, 2019;Zhong et al, 2015).…”
Section: Proxies For Metal Leaching and Enrichmentmentioning
confidence: 99%