SOLUBILITY PRODUCT CONSTANTS FOR NATURAL DOLOMITE (0-200°C) THROUGH A GROUNDWATER-BASED APPROACH USING THE USGS PRODUCED WATER DATABASE

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.2475/04.2022.03. This is version 3 of this Preprint.

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Comment #109 Hamish Robertson @ 2023-08-16 00:37

There was an error on the old submission whereby for eq.23 the b (+5.8) and c (+1.4) constants were negative instead of positive which has been corrected in the new version availible here.

The Supplementary table 7 is available through the AJS site.

Comment #27 Hamish Robertson @ 2021-05-02 10:07

Supplementary table 7 is an excel file with group RI values, available upon request! :)

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Supplementary Files
Authors

Hamish Robertson , Fiona Whitaker, Cathy Hollis, Hilary Corlett

Abstract

The calculation of a reliable temperature dependent dolomite solubility product constant (Ksp°−dol) has been the subject of much research over the last 70 years. This study evaluates log10(aCa2+/aMg2+) using PHREEQC (Pitzer approach) for a screened subset (n=11,480) of formation waters in the U.S. Geological Survey National Produced Waters Geochemical Database V2 (PWGD), an extensive inventory of 165,960 formational waters from a range of sedimentary lithologies in North America up to 6.6 km depth (Blondes and others, 2016). Through extensive ground-truthing against datasets sourced from Texas Gulf Coast basin and the Mississippi Salt Dome basin we establish that both the geochemical data from the PWGD and a new geothermal model of the US that is used to determine temperatures at-formation-depth to be reliable data sources.
The vast majority (at least 90%) of PWGD samples have log10(aCa2+/aMg2+)-temperature values that are interpreted to be indicative of calcite-dolomite equilibrium and controlled by bulk mineral equilibria rather than Mg-calcite surface phases. Using statistical models with different parameterizations (different Maier-Kelly formulas, mixed-effects models with various random effects and linear models) log10(aCa2+/aMg2+) values (outcome variable) are regressed against temperature (fixed effect) calculating Ksp°−dol between 0-200°C using the well constrained calcite solubility product (Ksp°−cal).
Local effects that modify log10(aCa2+/aMg2+) values are evaluated through the addition of random effects to the mixed model which improves the statistical reliability of the Ksp°−dol estimate and enables the determination of Ksp°−dol for local dolomite phases. The nature of these local effects is open to interpretation, but we suggest the primary influence on log10(aCa2+/aMg2+) values is the stoichiometry of the equilibrium dolomite phase within individual fields that systematically modifies log10(aCa2+/aMg2+) values. We discount the influence on log10(aCa2+/aMg2+) values from the ionic strength of the solution, the equilibration with anhydrite and chlorite group minerals, the illitization of smectite and albitization of feldspar.
For the dolomite solubility equation;
CaMg(CO3)2 (s) ↔ Ca2+(aq)+ Mg2+(aq) + 2CO3(2-)(aq) (1)

the mixed-effects model chosen as most representative yields a pKsp°−dol (log10Ksp°−dol);
pK(sp-dol)= 1.47545×10^1 - 6.24959×10^-2∙T(K) - 3.99350×10^3∙1/T(K) (2)
At 25°C pKsp°−dol = -17.27±0.35, which is close to prior estimates including the most recent experimental value reported by B´en´ezeth and others, 2018 (pKsp°−dol = -17.19±0.3). This validates this study’s approach and enables conclusions to be drawn via a meta-analysis of a contaminated, though expansive dataset.

DOI

https://doi.org/10.31223/X5PS42

Subjects

Earth Sciences, Geochemistry

Keywords

Thermodynamics, statistics, Dolomite, solubility, constant, mixed model

Dates

Published: 2021-05-02 09:56

Last Updated: 2023-08-16 05:25

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License

CC BY Attribution 4.0 International

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Conflict of interest statement:
None