2016
DOI: 10.1111/sed.12241
|View full text |Cite
|
Sign up to set email alerts
|

Reactive transport modelling of reflux dolomitization in the Arab‐D reservoir, Ghawar field, Saudi Arabia

Abstract: It has long been recognized that the Arab-D reservoir in Ghawar field has been significantly dolomitized and that the distribution of dolomites is highly heterogeneous across this reservoir. Previous studies indicated that dolomite occurs with either a stratigraphic or non-stratigraphic distribution; when mapped, dolomite tends to form several parallel linear trends across the field. Although stratigraphic dolomite was suggested to be formed early from highly evaporated pore fluids sourced from overlying evapo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

6
30
1

Year Published

2017
2017
2023
2023

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 38 publications
(37 citation statements)
references
References 85 publications
6
30
1
Order By: Relevance
“…RTM has already been extensively applied to study the formation of dolomites in low-temperature shallow reflux systems (Jones and Xiao, 2005;Garcia-Fresca et al, 2009;Al-Helal et al, 2012;Xiao et al, 2013;Lu and Cantrell, 2016), as well as during burial diagenesis by fluids circulating due to geothermal convection (Wilson et al, 2001;Whitaker and Xiao, 2010) and sedimentary compaction (Consonni et al, 2010;Frazer et al, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…RTM has already been extensively applied to study the formation of dolomites in low-temperature shallow reflux systems (Jones and Xiao, 2005;Garcia-Fresca et al, 2009;Al-Helal et al, 2012;Xiao et al, 2013;Lu and Cantrell, 2016), as well as during burial diagenesis by fluids circulating due to geothermal convection (Wilson et al, 2001;Whitaker and Xiao, 2010) and sedimentary compaction (Consonni et al, 2010;Frazer et al, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…Streamlines are dominantly horizontal for tens of kilometres with geothermal circulation in stratified carbonates (Caspard et al ., ; Whitaker & Xiao, ). Models of compaction‐driven flow or hot fluids injected from faults into layered limestones all exhibit horizontal flow due to permeability differences between layers (Consonni et al ., ; Xiao et al ., ; Corbella et al ., ; Lu & Cantrell, ). Vertical flow is concentrated below brine pools in reflux models (Xiao & Jones, ; Xiao et al ., ), but there is also a dominance of horizontal flow with distance from the brine pool due to high vertical anisotropy in the permeability of layered carbonates (Jones et al ., ; Al‐Helal et al ., ; Gabellone et al ., ; Lu & Cantrell, ).…”
Section: Methodsmentioning
confidence: 99%
“…Models of compaction‐driven flow or hot fluids injected from faults into layered limestones all exhibit horizontal flow due to permeability differences between layers (Consonni et al ., ; Xiao et al ., ; Corbella et al ., ; Lu & Cantrell, ). Vertical flow is concentrated below brine pools in reflux models (Xiao & Jones, ; Xiao et al ., ), but there is also a dominance of horizontal flow with distance from the brine pool due to high vertical anisotropy in the permeability of layered carbonates (Jones et al ., ; Al‐Helal et al ., ; Gabellone et al ., ; Lu & Cantrell, ). For example, Lu & Cantrell () modelled a 1·5 km brine pool on a 20 km long profile of vertically stratified sediments, and their results indicate that the lateral distance dominated by vertical flow is only about 10% of the lateral distance dominated by horizontal flow.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Numerous studies have been focused on the structure, stratigraphy, depositional environment, lithofacies and diagenesis of the reservoir (e.g. Mitchell et al, 1988;Meyer and Price, 1993;Handford et al, 2002;Cantrell and Hagerty, 2003;Cantrell et al, 2004;Swart et al, 2005Swart et al, , 2016Lindsay et al, 2006;Lu and Cantrell, 2016). Zhang et al (2018) used micrite content as a quantitative texture descriptor in multivariable regression and neural network models to predict permeability from porosity in the same reservoir.…”
Section: Methodsmentioning
confidence: 99%