Sphalerite Chemistry and Carbonate (C, O) Isotope Zonation in the Nayongzhi Mississippi Valley-Type Deposit, Southwest China Chen Wei, Max Frenzel, Lin Ye, Saulo B. de Oliveira, Leonid Danyushevsky, et al. Economic Geology, 2025 Metal zonation patterns are common in Mississippi Valley-type (MVT) deposits but have received comparatively little attention. The recognition of such patterns can help to fingerprint fluid flow paths and provide valuable vectors for near-mine exploration. The Nayongzhi deposit (30.1 million tonnes [Mt] at 6.57% Zn and 0.91% Pb) exhibits clear lateral and vertical zonation patterns in ore types and metal ratios, making it an ideal case study to explore the behavior of other geochemical zonation markers. In this contribution, we report zonation patterns observed in both carbonate C-O isotope compositions and the trace element chemistry of sphalerite. Ore-related dolomite shows systematically higher δ13CV-PDB (Vienna-Pee Dee Belemnite) and δ18OV-SMOW (Vienna-standard mean ocean water) values with increasing distance to the feeder structure, probably reflecting a decrease in the fluid-rock ratios. In addition, laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) analysis of sphalerite revealed systematic spatial and temporal variations in trace element contents. The contents of Mn, Fe, Cu, Ga, Ge, and In decrease with distance from the feeder fault, whereas the contents of Cd increase. Manganese, Fe, Ge, and Tl are also concentrated in early sphalerite, whereas Ga and Cd are more abundant in later sphalerite. Such variations appear to be predominantly governed by changes in physicochemical parameters, such as temperature, fS2, and fluid composition. Finally, multivariate regression analysis identified three footprint elements in sphalerite—Mn, Ga, and In—whose combined compositional variations are particularly informative concerning the relative distances of samples to the feeder fault. The application of the resultant sphalerite proximitor to another structurally controlled MVT deposit effectively traced fluid flow paths and identified the relative distances of samples to the fluid influx center. Consequently, our study highlights the potential of sphalerite trace element chemistry, together with C-O isotopes, to serve as a novel exploration tool in MVT deposits. However, our results also demonstrate that the accurate petrologic identification of paragenetic mineral generations will generally be essential for reliably vectoring toward fluid influx centers.
Defining CO2 Geological Storage Capacity in Unmineable Coal Seams Through Adsorption Data in 3D: Case Study of the Chico Lomã Deposit, Southern Brazil Saulo B. de Oliveira, Haline V. Rocha, Cristina F. A. Rodrigues, Manuel J. Lemos de Sousa, Colombo C. G. Tassinari Sustainability Switzerland, 2025 The concentration of greenhouse gases in the atmosphere has led to irreversible climate changes, emphasizing the need for effective strategies to mitigate emissions. Carbon capture, utilization, and storage (CCUS) technologies, including geological CO2 storage, have gained recognition worldwide due to their potential for CO2 emissions abatement. Among potential geological reservoirs, coal seams are significant due to their efficiency in securing CO2 storage, through their adsorption storage capacity. This study presents an innovative methodology for estimating the theoretical CO2 storage capacity in unmineable coal seams, focusing on the Chico Lomã deposit in southern Brazil. The methodology integrates a comprehensive drillhole database and adsorption isotherm data to define the coal reservoir zone and calculate its CO2 storage capacity. The results indicate a total theoretical CO2 storage capacity of 47.8 Gt in the Chico Lomã deposit, with the potential to mitigate emissions from local thermoelectric plants for over 500 years. The study encourages the application of the proposed methodology to assess CO2 storage capacity in other unmineable coal deposits worldwide.
Application of Volume Uncertainty for Resource Classification: A Case Study on the Rondon Do Pará Bauxite Deposit, Brazil Saulo B. de Oliveira, Jeff B. Boisvert, Clayton V. Deutsch Mining, 2022 This study illustrates the application of conditional simulations to calculate the uncertainty associated with the thickness of bauxite ores. The bauxite deposit of Rondon do Pará in northern Pará State, Brazil, is characterized by a well-defined lateritic profile, with the ore being composed of two sequential horizons: massive bauxite and ferruginous bauxite. This study used ore thickness data from 1.005 drillholes with different grid spacing. Drillhole intervals of both types of bauxite ore were accumulated, converting the database from 3D to 2D. Sequential Gaussian simulation produced probability maps calculated from certain confidence intervals, which permits obtaining the uncertainty associated with estimates in thickness. Results show that in portions with the same regular drillhole spacing there are different ranges of uncertainty and variability, which could be useful to support resource classification, associating different confidence intervals to resource classes. This analysis could also guide the drilling program for resource conversion in order to optimize costs, indicating areas where there is greater uncertainty and would need to be densified. The incorporation of this information into the resource model could be very helpful for supporting subsequent studies of economic evaluation and risk analyses with respect to this type of deposit or similarly in mineral exploration.
Assessment of thickness uncertainty using geostatistical simulation in the Rondon do Pará Bauxite Deposit, Brazil Application of Computers and Operations Research in the Mineral Industry Proceedings of the 37th International Symposium Apcom 2015, 2015
Reassessing historical gas occurrences considering CO2 geological storage, a case study of the Cuiabá Paulista occurrence, Brazil VCP Piedade, SB de Oliveira, CHT de Oliveira International Journal of Greenhouse Gas Control 149, 104557 , 2026 2026
Sphalerite Chemistry and Carbonate (C, O) Isotope Zonation in the Nayongzhi Mississippi Valley-Type Deposit, Southwest China C Wei, M Frenzel, L Ye, SB de Oliveira, L Danyushevsky, Z Huang, ... Economic Geology 120 (7), 1751-1776 , 2025 2025
The komatiite-associated Boa Vista Ni-Cu sulfide deposit, Crixás greenstone belt, Central Brazil: Insights into komatiite flow facies and exploration TFA Maia, CF Ferreira-Filho, SB De Oliveira Journal of South American Earth Sciences 156, 105436 , 2025 2025 Citations: 1
Defining CO 2 Geological Storage Capacity in Unmineable Coal Seams Through Adsorption Data in 3D: Case Study of the Chico Lomã Deposit, Southern Brazil SB de Oliveira, HV Rocha, CFA Rodrigues, MJ Lemos de Sousa, ... Sustainability 17 (7), 2856 , 2025 2025 Citations: 7
Distribuição de soleiras de diabásio no sul do estado de São Paulo como potencial rocha-selante para o armazenamenti de CO2 na Bacia do Paraná ERR Albuquerque, SB De Oliveira Geociências em transformação: desafios e soluções para um futuro sustentável … , 2025 2025
Modelagem geológica e estrutural 3D dos depósitos Perau CS Farias, SB De Oliveira Geociências em transformação: desafios e soluções para um futuro sustentável … , 2025 2025
3D geophysical modeling for the exploration of IOCG-type deposits in the Aquiri region, Carajás Mineral Province, Brazil G Serejo, LVS Monteiro, CJ Marco, VHA Louro, SB De Oliveira, M Dentith Anais VI Simpósio Brasileiro de Metalogenia, 111 , 2025 2025
Modelagem geológica e estrutural 3D de camadas de carvão visando avaliar o potencial de armazenamento de CO2 na região de Cerquilho, SP ERR Albuquerque, SB De Oliveira, CG Porto Anais do XVIII Simpósio de Geologia do Sudeste, 83 , 2025 2025
Dados sísmicos integrados à modelagem geológica 3D aplicada à delimitação de trapas para armazenamento geológico de CO2 na região sul do estado de SP ERR Albuquerque, SB De Oliveira Anais [do] X Simpósio de Quantificação em Geociências, 127 , 2025 2025
Assessing the potential for CO 2 storage in saline aquifers in Brazil: Challenges and Opportunities N Weber, SB de Oliveira, A Cavallari, I Morbach, CCG Tassinari, ... Greenhouse Gases: Science and Technology 14 (2), 319-329 , 2024 2024 Citations: 12
Hydrocarbon indication in Rio Bonito Formation sandstone: implication for CO2 storage in São Paulo, Brazil RM Abraham-A, HV Rocha, SB de Oliveira, CCG Tassinarri, OC da Silva Energy Geoscience 5 (1), 100168 , 2024 2024 Citations: 15
Geological screening for onshore CO 2 storage in the Rio Bonito formation, Paraná Basin, Brazil SB de Oliveira, N Weber, C Yeates, C CG Tassinari Journal of Maps 19 (1), 2171817 , 2023 2023 Citations: 11
3D structural and geological modeling of the Kwatebala Cu–Co deposit, Tenke-Fungurume district, Democratic Republic of Congo SB de Oliveira, LG Bertossi Journal of African Earth Sciences 199, 104825 , 2023 2023 Citations: 11
Challenges to evaluate CO2 storage potential in saline aquifers in Brazil N Weber, SB De Oliveira, A Cavallari, I Morbach, CCG Tassinari, ... 2023
Application of Volume Uncertainty for Resource Classification: A Case Study on the Rondon Do Pará Bauxite Deposit, Brazil SB de Oliveira, JB Boisvert, CV Deutsch Mining 2 (4), 670-682 , 2022 2022 Citations: 1
3D structural control and spatial distribution of Zn-Pb-Cu grades in the Palmeirópolis VMS deposit, Brazil SB de Oliveira, I Torresi, DAL Rossi Applied Earth Science 131 (2), 69-85 , 2022 2022 Citations: 5
3D geochemical characterization of organic-rich shales of the Irati Formation, Paraná Sedimentary Basin: New perspective for CO2 geological storage in southeastern Brazil SB de Oliveira, HV Rocha, CCG Tassinari International Journal of Greenhouse Gas Control 114, 103563 , 2022 2022 Citations: 16
Hidrogênio azul: produção a partir da reforma do gás natural com CCUS D Perecin, ST Coelho, JR Meneghini, CCG Tassinari, EM Santos, ... 2022
Rio Bonito Formation suitability for permanent CO2 storage N Weber, SB De Oliveira, JR Meneghini, CCG Tassinari 2022
Avaliação do potencial de armazenamento geológico de CO2 na ocorrência de gás de Cuiabá Paulista, Bacia do Paraná, através de modelagem geológica implícita 3D VCP Piedade, SB De Oliveira, N Weber, CCG Tassinari 2022
MOST CITED SCHOLAR PUBLICATIONS
Taxonomia e distribuição estratigráfica dos ostracodes da Formação Quiricó, Grupo Areado (Cretáceo inferior), bacia Sanfranciscana, Brasil DA Do Carmo, HZ Tomassi, S De Oliveira Revista Brasileira de Paleontologia 7 (2), 139-149 , 2004 2004 Citations: 79
The Zn-Pb mineralization of Florida canyon, an evaporite-related Mississippi valley-type deposit in the Bongará district, northern Peru SB de Oliveira, DL Leach, C Juliani, LVS Monteiro, CA Johnson Economic Geology 114 (8), 1621-1647 , 2019 2019 Citations: 43
The lateritic bauxite deposit of Rondon do Pará: A new giant deposit in the Amazon region, Northern Brazil SB de Oliveira, ML da Costa, HJ dos Prazeres Filho Economic Geology 111 (5), 1277-1290 , 2016 2016 Citations: 26
Geology and genesis of the Shalipayco evaporite-related Mississippi Valley-type Zn–Pb deposit, Central Peru: 3D geological modeling and C–O–S–Sr isotope constraints SB de Oliveira, CA Johnson, C Juliani, LVS Monteiro, DL Leach, ... Mineralium Deposita 56 (8), 1543-1562 , 2021 2021 Citations: 24
Structural control and timing of evaporite-related Mississippi Valley-type Zn–Pb deposits in Pucará Group, northern central Peru SB de Oliveira, C Juliani, LVS Monteiro, CCG Tassinari Journal of South American Earth Sciences 103, 102736 , 2020 2020 Citations: 20
3D geochemical characterization of organic-rich shales of the Irati Formation, Paraná Sedimentary Basin: New perspective for CO2 geological storage in southeastern Brazil SB de Oliveira, HV Rocha, CCG Tassinari International Journal of Greenhouse Gas Control 114, 103563 , 2022 2022 Citations: 16
Hydrocarbon indication in Rio Bonito Formation sandstone: implication for CO2 storage in São Paulo, Brazil RM Abraham-A, HV Rocha, SB de Oliveira, CCG Tassinarri, OC da Silva Energy Geoscience 5 (1), 100168 , 2024 2024 Citations: 15
3D implicit modeling applied to the evaluation of CO 2 geological storage in the shales of the Irati Formation, Paraná Basin, Southeastern Brazil SB de Oliveira, CCG Tassinari, RM Abraham‐A, I Torresi Greenhouse Gases: Science and Technology 11 (5), 1024-1042 , 2021 2021 Citations: 14
Assessing the potential for CO 2 storage in saline aquifers in Brazil: Challenges and Opportunities N Weber, SB de Oliveira, A Cavallari, I Morbach, CCG Tassinari, ... Greenhouse Gases: Science and Technology 14 (2), 319-329 , 2024 2024 Citations: 12
Geological screening for onshore CO 2 storage in the Rio Bonito formation, Paraná Basin, Brazil SB de Oliveira, N Weber, C Yeates, C CG Tassinari Journal of Maps 19 (1), 2171817 , 2023 2023 Citations: 11
3D structural and geological modeling of the Kwatebala Cu–Co deposit, Tenke-Fungurume district, Democratic Republic of Congo SB de Oliveira, LG Bertossi Journal of African Earth Sciences 199, 104825 , 2023 2023 Citations: 11
Lithogeochemistry and 3D geological modeling of the apatite-bearing Mesquita Sampaio beforsite, Jacupiranga alkaline complex, Brazil SB Oliveira, LM Sant'Agostino Brazilian Journal of Geology 50, e20190071 , 2020 2020 Citations: 8
Mineral characterisation of the non-sulphide Zn mineralisation of the Florida Canyon deposit, Bongará District, Northern Peru SB De Oliveira, C Juliani, LVS Monteiro Applied Earth Science 128 (1), 27-36 , 2019 2019 Citations: 8
Defining CO 2 Geological Storage Capacity in Unmineable Coal Seams Through Adsorption Data in 3D: Case Study of the Chico Lomã Deposit, Southern Brazil SB de Oliveira, HV Rocha, CFA Rodrigues, MJ Lemos de Sousa, ... Sustainability 17 (7), 2856 , 2025 2025 Citations: 7
3D structural control and spatial distribution of Zn-Pb-Cu grades in the Palmeirópolis VMS deposit, Brazil SB de Oliveira, I Torresi, DAL Rossi Applied Earth Science 131 (2), 69-85 , 2022 2022 Citations: 5
Application of mineral norm calculation in the resource evaluation of the sulphide and non-sulphide Zn-Pb mineralisation of the Florida Canyon MVT deposit, Peru SB De Oliveira, AA Saldanha Applied Earth Science 128 (3), 96-105 , 2019 2019 Citations: 5
Estudos geoestatísticos aplicados à um depósito magmático de Ni-Cu SB de Oliveira Universidade de São Paulo , 2008 2008 Citations: 5
A preliminary assessment of Rio Bonito Formation (Paraná Basin, Brazil) suitability for CO2 storage N Weber, SB de Oliveira, JR Meneghini, CCG Tassinari TCCS-11-Trondheim Conference on CO2 Capture, Transport and Storage , 2021 2021 Citations: 4
Geologia e gênese dos depósitos de Zn-Pb de Shalipayco e Florida Canyon, centro-norte do Peru SB de Oliveira Instituto de Geociências, Universidade de São Paulo , 2019 2019 Citations: 4
Krigagem indicadora aplicada aos litotipos do depósito de Ni-Cu de Americano do Brasil, GO SB De Oliveira, MM Rocha Geologia USP. Série Científica 11 (2), 123-134 , 2011 2011 Citations: 4
