Evaluating Elemental and Petrophysical Data From Scientific Ocean Drilling for Sedimentary CaCO 3 Reconstruction and Application to Cenozoic Deep‐Sea Carbonate Burial

Abstract The variation in calcium carbonate (CaCO 3 ) content with water depth in deep‐sea sediments is critical for reconstructing paleo‐oceanic events, global carbon cycling, and climate change. High‐resolution (e.g., centimeter‐scale) CaCO 3 measurements in Cenozoic marine sediments remain limited, and proxy‐based estimates have not been sufficiently validated. This study evaluates CaCO 3 conversion models using proxies in sediments recovered by scientific ocean drilling. Elemental data obtained through Inductively Coupled Plasma Atomic/Optical Emission Spectrometry (ICP‐AES/OES) and Scanning X‐ray Fluorescence Spectroscopy (XRF), along with petrophysical data from Natural Gamma Radiation (NGR) and Gamma Ray Attenuation Bulk Density (GRA) measurements, are statistically compared to coulometrically measured CaCO 3 values, and CaCO 3 wt% is estimated through correlation. Using 116 International Ocean Discovery Program/Ocean Drilling Program sites with records most suitable for our purpose, we identify optimal models to estimate CaCO 3 wt% from proxies for different sediment types: the elemental data‐based method provides the best overall estimates, NGR performs best for clay‐carbonate binary systems, and GRA is suitable for biogenic silica‐carbonate mixtures. These optimized regressions enable higher‐resolution CaCO 3 reconstructions than chemical analyses alone, and allow estimates in data‐limited intervals and regions. Building on these method evaluations, we applied the optimized framework to a method‐screened set of records to reconstruct Cenozoic deep‐sea CaCO 3 burial patterns as an example of its potential paleoceanographic applications. The reconstructed burial record captures the distinct responses of deep‐sea carbonate burial to major Cenozoic climate transitions. We thus establish a practical framework for selecting and applying proxy‐based CaCO 3 reconstruction methods and demonstrate its potential for investigating long‐term changes in marine carbonate burial.

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Publication Details

Journal
Paleoceanography and Paleoclimatology
Published
2026-10-28
DOI
https://doi.org/10.1029/2026pa005535
Primary Topic
Paleontology and Stratigraphy of Fossils
Type
article
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article

Evaluating Elemental and Petrophysical Data From Scientific Ocean Drilling for Sedimentary CaCO 3 Reconstruction and Application to Cenozoic Deep‐Sea Carbonate Burial

Yi Wang, Jiuyuan Wang, Ellen Thomas, Quanyou Liu et al.
Paleoceanography and Paleoclimatology
Paleontology and Stratigraphy of Fossils
article

Evaluating Elemental and Petrophysical Data From Scientific Ocean Drilling for Sedimentary CaCO 3 Reconstruction and Application to Cenozoic Deep‐Sea Carbonate Burial

Yi Wang, Jiuyuan Wang, Ellen Thomas, Quanyou Liu, Ruihao Zheng, Xin Tong, Yixin Dong
article en

Abstract

Abstract The variation in calcium carbonate (CaCO 3 ) content with water depth in deep‐sea sediments is critical for reconstructing paleo‐oceanic events, global carbon cycling, and climate change. High‐resolution (e.g., centimeter‐scale) CaCO 3 measurements in Cenozoic marine sediments remain limited, and proxy‐based estimates have not been sufficiently validated. This study evaluates CaCO 3 conversion models using proxies in sediments recovered by scientific ocean drilling. Elemental data obtained through Inductively Coupled Plasma Atomic/Optical Emission Spectrometry (ICP‐AES/OES) and Scanning X‐ray Fluorescence Spectroscopy (XRF), along with petrophysical data from Natural Gamma Radiation (NGR) and Gamma Ray Attenuation Bulk Density (GRA) measurements, are statistically compared to coulometrically measured CaCO 3 values, and CaCO 3 wt% is estimated through correlation. Using 116 International Ocean Discovery Program/Ocean Drilling Program sites with records most suitable for our purpose, we identify optimal models to estimate CaCO 3 wt% from proxies for different sediment types: the elemental data‐based method provides the best overall estimates, NGR performs best for clay‐carbonate binary systems, and GRA is suitable for biogenic silica‐carbonate mixtures. These optimized regressions enable higher‐resolution CaCO 3 reconstructions than chemical analyses alone, and allow estimates in data‐limited intervals and regions. Building on these method evaluations, we applied the optimized framework to a method‐screened set of records to reconstruct Cenozoic deep‐sea CaCO 3 burial patterns as an example of its potential paleoceanographic applications. The reconstructed burial record captures the distinct responses of deep‐sea carbonate burial to major Cenozoic climate transitions. We thus establish a practical framework for selecting and applying proxy‐based CaCO 3 reconstruction methods and demonstrate its potential for investigating long‐term changes in marine carbonate burial.

Paleoceanography and PaleoclimatologyVol. 41(11)
Wesleyan University (US), Sinopec (China) (CN), Tulane University (US), Peking University (CN), Chengdu University of Technology (CN), Yale University (US), State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation (CN)
Openalex Percentile: Top 16%
Paleontology and Stratigraphy of Fossils
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