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Influence of structural boron on ‘illite crystallinity’: results from mud volcanoes in Azerbaijan

Published online by Cambridge University Press:  06 August 2025

Matteo Salvadori
Affiliation:
Istituto di Geoscienze e Georisorse , Via Moruzzi 1, 56124 Pisa, Italy Dipartimento di Scienze della Terra, Via Santa Maria 53, 56126 Pisa, Italy
Stefano Battaglia
Affiliation:
Istituto di Geoscienze e Georisorse , Via Moruzzi 1, 56124 Pisa, Italy
Marco Lezzerini
Affiliation:
Dipartimento di Scienze della Terra, Via Santa Maria 53, 56126 Pisa, Italy
Dadash Huseynov
Affiliation:
Institute of Geology and Geophysics, Azerbaijan National Academy of Sciences , Azerbaijan
Maddalena Pennisi*
Affiliation:
Istituto di Geoscienze e Georisorse , Via Moruzzi 1, 56124 Pisa, Italy
*
Corresponding author: Maddalena Pennisi; Email: m.pennisi@igg.cnr.it
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Abstract

Sedimentary volcanism is a widespread phenomenon on Earth that leads to the extrusion of fine-grained sediments, saline waters, and hydrocarbons in compressional environments. In the present study, mud volcanoes located in eastern Azerbaijan were investigated with a particular interest in boron (B) influence on illite crystallinity, compared with results reported in the literature for Northern Apennine mud volcanoes (Italy). Azerbaijan sediments have a predominant silt fraction and a mineralogy dominated by quartz, feldspar, calcite, and clay minerals (illite, mixed-layer illite smectite, smectite, and chlorite). Reichweite grade, measured by estimated illite percentage in Ilt-Sme, associated with a geothermal gradient of 18°C km–1, indicates a sediment origin of 7–8 km, consistent with the depth of the Maikop Series, considered in the literature to be the main source rock of the erupted muds. Azerbaijan samples confirmed the inverse correlation between structural B in illite (53–182 μg g–1) and the Kübler index (KI) on illite (0.53–0.71°Δ2θ), previously observed for mud volcanoes in the Apennines. This suggests that a common process operates in these different environments, highlighting the role of B in illite crystallinity, and confirming the need to consider this interaction when using KI as a sediment depth marker in similar geological contexts.

Information

Type
Original Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of The Clay Minerals Society
Figure 0

Figure 1. Schematic representation of the illite structure (modified from Murray, 2006).

Figure 1

Figure 2. Sampled mud volcano sites (in red).

Figure 2

Figure 3. Sampling of muds from active gryphons and mud pools at the Perikushkul and Shikhzahirli mud volcanoes.

Figure 3

Table 1. Sample sites and field data

Figure 4

Figure 4. XRD spectra of bulk-sample powders. Qtz = quartz; Phyll = phyllosilicates; Kfs = K-feldspar; Pl = plagioclase; Cal = calcite. Wavelength = 0.15418 nm.

Figure 5

Figure 5. (a–c) XRD spectra of oriented slides from the clay fraction. Sme = smectite; Ilt-Sme = mixed-layer illite-smectite; Ilt = illite; Chl = chlorite; K-AD = samples saturated with KCl solution and air dried; Mg-AD = samples saturated with MgCl2 solution and air dried; Mg-EG = samples saturated with MgCl2 solution and ethylene glycol; wavelength = 0.15418 nm.

Figure 6

Table 2. Mineralogy of clay minerals and associated KI

Figure 7

Table 3. Reichweite order obtained according to the Moore and Reynolds (1997) calculation method

Figure 8

Table 4. Structural B concentration of total clay and Ilt are reported in mg kg–1; the Ilt fraction and K2O content are reported in wt.%

Figure 9

Figure 6. Pettijohn classification diagram for the various sample sites.

Figure 10

Figure 7. Inverse correlation between mixed-layer Ilt-Sme and illite.

Figure 11

Figure 8. Relationship between KI and structural B content in AZ and NA (NA data from Battaglia and Pennisi, 2016).

Figure 12

Table 5. B content and isotope composition of waters from AZ mud volcanoes

Figure 13

Figure 9. Positive correlation of Ilt content and Bfix for samples AZ (black circles) and NA (gray squares).

Figure 14

Figure 10. Weak correlation between KI and K content.