Ore and Energy Resource Geology最新文献

{"title":"Trace element composition and significance of quartz and stibnite in the Woxi Au - Sb - W deposit, Hunan","authors":"Jiankang Zhang,&nbsp;Yulong Yang,&nbsp;Qiang Wang,&nbsp;Huimin Zhang,&nbsp;Feilin Zhu","doi":"10.1016/j.oreoa.2024.100082","DOIUrl":"10.1016/j.oreoa.2024.100082","url":null,"abstract":"<div><div>We present new mineralogical and chemical data on quartz and stibnite from the Woxi Au-Sb-W deposit in western Hunan. The aim is to elucidate the substitution mechanisms of trace elements and to estimate the ore-forming temperatures within the Woxi deposit. Furthermore, we explore the potential of using trace element compositions in quartz to differentiate between various types of mineral deposits. Based on field investigation and petrographic observation, the mineralization process of the Woxi deposit can be divided into three distinct stages: an early quartz-scheelite stage, a main quartz-sulfide-native gold stage, and a late quartz-carbonate stage. LA-ICP-MS analysis of quartz from different mineralization stages reveals distinct substitution mechanisms for trace elements. In the early-stage quartz, the primary substitution mechanism is (Al³⁺, As³⁺) + (Li⁺, Na⁺) → Si⁴⁺. In the main stage, the substitution mechanism is 2(Sb³⁺, As³⁺) + (Ba²⁺) → 2Si⁴⁺. For the late-stage quartz, the substitution follows the pattern 2(As³⁺, Sb³⁺) + (Ba²⁺, Sr²⁺) → 2Si⁴⁺. Stibnite occurs exclusively during the second stage, with Cu and Pb enrichment in stibnite facilitated by the substitution mechanism of Cu²⁺ + Pb²⁺ → Sb³⁺. The incorporation of As into stibnite is attributed to a substitution equation of Sb³⁺ ↔ As³⁺. Quartz crystallization temperatures inferred from Ti thermometry suggest that quartz crystallization temperatures across different stages to be relatively similar. The temperature obtained through the titanium-in-quartz thermometer likely reflects the crystallization temperature of quartz. Since quartz crystallizes at relatively higher temperatures, the calculated temperature is higher than that indicated by fluid inclusion thermometry. Additionally, by compiling geochemical data from nine different types of Au, Sb, and W deposits and conducting plotting analysis, it was observed that orogenic deposits exhibit relatively balanced Ti, Al, and Ge concentrations, with a relative enrichment of Ge. Epithermal deposits show higher Ti concentrations but lower Al and Ge, with most data points concentrated in the high Ti range. In contrast, porphyry deposits are characterized by higher Al content and lower Ti and Ge. The ternary discrimination diagram of Ti, Al, and Ge effectively distinguishes the quartz characteristics of orogenic, epithermal, and porphyry-type deposits.</div></div>","PeriodicalId":100993,"journal":{"name":"Ore and Energy Resource Geology","volume":"18 ","pages":"Article 100082"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143092038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Petrographic, palynological, and source rock evaluation of Nubia Sandstone: A comparative study of the October and July Oil Fields, Gulf of Suez, Egypt","authors":"Ahmed Maher","doi":"10.1016/j.oreoa.2025.100092","DOIUrl":"10.1016/j.oreoa.2025.100092","url":null,"abstract":"<div><div>The Nubia Sandstone sediments in the Gulf of Suez, Egypt, represent significant hydrocarbon reservoirs. However, further investigation is necessary better to understand their source rock characteristics and depositional environments. These sediments lack precise chronological data and have limited palynological information, both crucial for compelling petroleum exploration. This research uses an integrated approach that combines palynology, palynofacies analysis, and petrographic methods to clarify the characteristics of the Nubia Sandstone. Two main facies are identified: the older facies in the July Field, which corresponds to the lower interval of the Nubia B Member and dates to the late Devonian, characterized by conodonts and plant fragments. In contrast, the younger facies found in the October Field and are believed to originate from the Permian-Triassic period exhibit foraminifera-rich strata and a transition from monosaccate pollen grains to <em>Classopollis</em> pollen grains. The results suggest that the Nubia Sandstone exhibits a range of transitional maturity to overmaturity, with the Nubia Sandstone B Member showing significant potential for hydrocarbon generation and predominantly comprising type II kerogen. The samples from the October Field show deposition in a suboxic to anoxic basin, while those from the July Field suggest a proximal oxic shelf environment. This study provides the first source rock characterization which could increase research and exploration for hydrocarbons in different areas in the Gulf of Suez containing the Nubia Sandstone.</div></div>","PeriodicalId":100993,"journal":{"name":"Ore and Energy Resource Geology","volume":"18 ","pages":"Article 100092"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143631939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Siliciclastic Reservoir Quality Model, a Multi-Criteria Decision Analysis approach for reservoir quality evaluation in the ‘OS’ field Niger Delta, Nigeria","authors":"Ayodele O. Falade ,&nbsp;Olubola Abiola ,&nbsp;John O. Amigun","doi":"10.1016/j.oreoa.2025.100097","DOIUrl":"10.1016/j.oreoa.2025.100097","url":null,"abstract":"<div><div>This study presents a novel Multi-Criteria Decision Analysis (MCDA) model, the Siliciclastic Reservoir Quality Model (SRQM), for evaluating and ranking reservoirs in oilfields. The SRQM model integrates key reservoir properties, including net pay-to-gross ratio, porosity, water saturation, and shale content, to generate a comprehensive Reservoir Quality Index. The model was applied to the 'OS' field in the Niger Delta, Nigeria, and compared to the conventional Reservoir Quality Index (RQI) approach. The results show a weak negative correlation between the two methods (-0.05764), highlighting their complementary nature. The SRQM model offers a more comprehensive evaluation by incorporating both reservoir rock architecture (porosity and Vsh) and crucial fluid content (Sw and NTG), unlike RQI which focuses solely on rock architecture. SRQM revealed reservoirs 1 and 2 in well OS-5 as the highest quality reservoirs, with an SRQM index of 0.75 and RQI values exceeding 300. Furthermore, the SRQM model revealed variations within other reservoirs. For example, Reservoir 2 in well OS-1, identified as having excellent quality using SRQM, had a relatively low RQI due to its relatively low permeability. This indicates a trade-off between potentially larger hydrocarbon volumes and reduced porosity and permeability. While Reservoirs 1 and 2 have average RQI values of 225.27 and 227.57, indicating excellent quality compared to Reservoir 3 with an average RQI of 99.99, the SRQM ratings reveal a different ranking, with Reservoir 2 (SRQM index: 1.25) and Reservoir 3 (SRQM index: 1.8) considered higher quality than Reservoir 1 (SRQM index: 2.55). This study demonstrates SRQM's ability to consider multiple factors and provide a more robust approach to evaluating reservoir quality. This approach offers a significant improvement over conventional RQI methods, aiding in optimized reservoir development strategies.</div></div>","PeriodicalId":100993,"journal":{"name":"Ore and Energy Resource Geology","volume":"18 ","pages":"Article 100097"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hyperspectral inversion of rare earth element concentration based on SPA-PLSR model","authors":"Dan Ke ,&nbsp;Wenkai Wang ,&nbsp;Huan Mo ,&nbsp;Fawang Ye ,&nbsp;Wei Chen ,&nbsp;Wanming Zhang ,&nbsp;Sirui Wang","doi":"10.1016/j.oreoa.2025.100086","DOIUrl":"10.1016/j.oreoa.2025.100086","url":null,"abstract":"<div><div>Quantitative study of the relationship between the hyperspectral characteristics of carbonatite rare earth elements and their chemical concentration is of great significance for detecting carbonatite rare earth resources using remote sensing hyperspectral technology. Due to the high resolution and large number of bands in hyperspectral data, it is crucial to effectively extract characteristic spectral bands with a high correlation with rare earth element concentration for estimating rare earth element concentration based on hyperspectral data.Thirty-three samples of rare earth ore were collected from the Maoniuping rare earth ore district, and indoor hyperspectral measurements were conducted using SVC HR1024I ground-based spectrometer. The Cerium(Ce) element concentration was chemically analyzed by ICP-MS. To improve the accuracy of the spectral inversion model and minimize the interference of stray light, noise, baseline drift, etc., the original spectral data were resampled at intervals of 10 nm first, and then the resampled results were subjected to first-order derivative (FD), Savitzky-Golay smoothing filtering(SG), standard normal variate transformation(SNV), multivariate scattering correction (MSC), and first-order derivative followed by SG filtering(FD_SG) transformations. Based on the successive projection algorithm (SPA), only five to nine selected characteristic bands out of 216 bands ranging from 350 nm to 2500 nm were extracted, reducing the band number by 95.8% to 97.7%, greatly reducing the redundancy of the spectrum. The partial least square regression (PLSR) model constructed based on the characteristic bands selected by SPA and the measured Ce element concentration showed that the determination coefficient(R²) and root mean square error(RMSE) of the modeling set were 0.88 and 363 × 10^–6, respectively, while those of the prediction set were 0.87 and 503 × 10^–6, respectively, indicating good stability and high precision of the model, which can be used as an estimation model for the Ce element concentration in the Maoniuping rare earth ore district.</div></div>","PeriodicalId":100993,"journal":{"name":"Ore and Energy Resource Geology","volume":"18 ","pages":"Article 100086"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143092033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research progress of fluid inclusions and its application in iron oxide copper-gold (IOCG) deposits","authors":"Mingwei Song ,&nbsp;Yiwei Peng ,&nbsp;Youliang Chen ,&nbsp;Yan Zhang ,&nbsp;Hong Yang ,&nbsp;Shipu Xu ,&nbsp;Qi wang","doi":"10.1016/j.oreoa.2024.100066","DOIUrl":"10.1016/j.oreoa.2024.100066","url":null,"abstract":"<div><p>Research on fluid inclusions in Iron Oxide Copper Gold hydrothermal systems has significantly progressed over the past few decades. This paper summarizes the major research advances including petrography, microthermometry, and the compositional of fluid inclusions, as well as the main theories regarding the origins and evolution of ore formation. Fluid inclusions are prevalent within hydrothermal minerals of IOCG systems, including aqueous biphasic (L-V), three-phase (L-V-S) and multiphase (L-V-nS), aqueous-carbonic (L_H2O-L_CO2) and aqueous-carbonic with solids (L_H2O-L_CO2-S), single phase (L_CO2) inclusions. The types and quantity of fluid inclusions are varied in different hydrothermal alteration and mineralization stages. Geochemical investigations have identified at least two distinct fluid contributors in IOCG systems: a hot, saline magmatic-hydrothermal fluid and an external, non-magmatic fluid (e.g., basin brine, meteoric water, formation water, or metamorphic fluids). It is generally believed that the early stages of the hydrothermal alteration are primarily controlled by magmatic fluids rich in metals and volatiles, with the Fe (-REE) mineralization. Non-magmatic fluids mixing at the last stage can effectively induce a temperature decrease or added reduced sulfur may be a significant factor contributing to Cu-Au precipitation.</p></div>","PeriodicalId":100993,"journal":{"name":"Ore and Energy Resource Geology","volume":"17 ","pages":"Article 100066"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666261224000282/pdfft?md5=0f01760f5ab6e1a6b875afe4356cd6cb&pid=1-s2.0-S2666261224000282-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142168981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Uranium mobility and enrichment during hydrocarbon generation and accumulation processes: A review","authors":"Qian Pang ,&nbsp;Hao Song ,&nbsp;Zhengqi Xu ,&nbsp;Shenglin Xu ,&nbsp;Guang Hu ,&nbsp;Yidong Liu ,&nbsp;Jiayu Zhang","doi":"10.1016/j.oreoa.2024.100063","DOIUrl":"10.1016/j.oreoa.2024.100063","url":null,"abstract":"<div><p>Black shale serve as a new uranium sources and provide reducing agents for uranium deposits through hydrocarbon generation. However, the systematically interplay between the black shale and the formation of uranium deposits is not obscure. This paper provides a comprehensive summary and critical assessment of the depositional control factors of uranium in black shales, the extent of uranium migration during hydrocarbon generation, the enrichment of uranium in oil/gas reservoirs, and the relationship between crude oil-natural gas leakage and uranium. The study show that U-riched constituents within black shale persist through mechanisms of adsorption, reduction, complexation, and absorption within matrices rich in phosphates, iron, carbonate minerals, and organic matter. The U in black shale originates from continental weathering, volcanic eruptions, and seabed hydrothermal activities. The average U concentration in black shale is determined by the U content in atmosphere, while its relative content is controlled by the degree of anoxia during the geological historical periods.. Black shale prior to the Late Neoproterozoic period exhibits minimal migration with hydrocarbon substances, whereas black shale post the Late Neoproterozoic period demonstrates migration, with a migration rate ranging approximately between 55 and 75 %. However, the migrated uranium does not accumulate in (ancient) reservoirs. The correlation between hydrocarbon substances and sandstone-type uranium deposit is attributed to the oxygen uptake by hydrocarbons or the thermochemical sulfate reduction (TSR). The study has fundamental significance for further understand the interaction mechanisms between uranium and hydrocarbon substances.</p></div>","PeriodicalId":100993,"journal":{"name":"Ore and Energy Resource Geology","volume":"17 ","pages":"Article 100063"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666261224000257/pdfft?md5=f34df12482c5248d9eba3b89962942ad&pid=1-s2.0-S2666261224000257-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142135803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deterministic modelling for driving factors of mineralization in Shanggong gold deposit (China)","authors":"Sukun Zhang ,&nbsp;Cuihua Chen ,&nbsp;Junqiang Xu ,&nbsp;Xing Jin ,&nbsp;Hui Wang ,&nbsp;Shaoping Feng ,&nbsp;Xinhui Liang","doi":"10.1016/j.oreoa.2024.100062","DOIUrl":"10.1016/j.oreoa.2024.100062","url":null,"abstract":"<div><p>1. Three-dimensional (3D) deterministic modeling is crucial for analyzing the controlling factors of mineralization. The Shanggong gold deposit, situated in the southern margin of North China Craton, represents a magmatic hydrothermal deposit. To construct the 3D deterministic model, boreholes, cross-sections, and geochemistry assays are integrated based on the geological characteristics of the Shanggong gold deposit. This paper summarizes its contents as follows: 1) GoCAD software can be utilized to build a 3D geology model encompassing faults and ore bodies; 2) Geostatistics and discrete smooth interpolation (DSI) can be employed to create a 3D attribute model involving grade and Au/Pb ratio. The findings reveal that: 1) High-value zones are associated with NE and NNE trending cross faults; 2) Deterministic modeling, such as grade model and Au/Pb ratio model, effectively elucidates the metallogenic process mechanism.</p></div>","PeriodicalId":100993,"journal":{"name":"Ore and Energy Resource Geology","volume":"17 ","pages":"Article 100062"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666261224000245/pdfft?md5=1465319e95d95f73a05dd4797a504af9&pid=1-s2.0-S2666261224000245-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142006350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The spatial distribution and source of heavy metals in soil-plant-atmosphere system in a large coal mining area","authors":"Hua Tang ,&nbsp;Qian Deng ,&nbsp;Yufei Yuan ,&nbsp;Shipeng Zhang ,&nbsp;Yan Luo ,&nbsp;Ying Chen ,&nbsp;Lan Jiang ,&nbsp;Yi Huang","doi":"10.1016/j.oreoa.2024.100059","DOIUrl":"10.1016/j.oreoa.2024.100059","url":null,"abstract":"<div><p>Due to the lack coupling analysis of heavy metals in soil-plant-atmosphere system, the migration and transformation of heavy metals remains unclear. In this study, 240 surface (0–20 cm) soil samples, 365 plant samples and 168 atmospheric dust samples were collected in a large coal mining area, in which selected heavy metals arsenic (As), cadmium (Cd), chromium (Cr), copper (Cu), nickel (Ni), plumbum (Pb), zinc (Zn) were analyzed, to elucidate the spatial distribution and source of heavy metals and their bioavailability. According to the results of ArcGIS mapping analysis, the distribution patterns of Cd, Cu, Pb, and Zn in the three media are similar, while the distribution characteristics of Cr and Ni are highly consistent. The factors contributing to these spatial distribution characteristics of heavy metals could be associated with human activities and the characteristics of the elements. Compared with the background value, Zn, Cr, Pb in soil, Zn, Cr, Cu in plants and Zn, Pb, Cu in atmospheric dust apparently accumulated. The geological accumulation pollution index (I<em>_geo</em>) shows that there exist mild to moderate levels of Cr and Cd pollution in soil, and mild to moderate levels of Cd, Cr, Pb, and Zn pollution in the air. The evaluation of potential risks of heavy metals showed moderate ecological hazards in soil and strong ecological hazards in atmospheric dust. The sources of heavy metals were assessed using principal component analysis (PCA), land use type, and spatial analysis. Anthropogenic factors are the main sources of heavy metal content. Coal-related industrial processes related to coal, sewage irrigation, the use of agricultural chemicals, and vehicle emissions may be anthropogenic sources of heavy metals.</p></div>","PeriodicalId":100993,"journal":{"name":"Ore and Energy Resource Geology","volume":"17 ","pages":"Article 100059"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S266626122400021X/pdfft?md5=00a294ad9870b1e85964653fa6b301eb&pid=1-s2.0-S266626122400021X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141848850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial distribution of mine areas in the Luanhe River Basin, China: Clustering implications","authors":"Jingjing Li ,&nbsp;Liang Tang ,&nbsp;Jinsong Yang ,&nbsp;Lingfei Qu ,&nbsp;Fan Meng ,&nbsp;Feng Jiang ,&nbsp;Lei Xu ,&nbsp;Sijie He","doi":"10.1016/j.oreoa.2024.100049","DOIUrl":"https://doi.org/10.1016/j.oreoa.2024.100049","url":null,"abstract":"<div><p>The Luanhe River Basin is the most mined region in China, and spatial analysis of mine areas is beneficial for identifying hotspots of mining-related threats and assessing their impacts in this catchment. From an Earth system science perspective, we examined the spatial clustering of mine areas and the interactions between geographical attributes in the Luanhe River Basin. The findings are: (1) the total mine areas in the Luanhe River Basin are approximately 368.5 km² (2749 polygons), primarily located in the middle and lower reaches. (2) The Global Moran's I for scale and mining land of mine areas in the Luanhe River Basin is 0.04 and 0.45, respectively. This indicates that the scale of mine areas is randomly spread in the basin, while the mining exhibits clustering property. Consequently, clustered mine areas cover approximately 207 km² (56.1 %), while randomly distributed mine areas cover ∼161.5 km² of land (43.9 %). (3) A merged region is formed when the buffer distance of mine areas exceeds 2 km, potentially creating contiguous mining threat areas. This research provides a dataset for managing and governance mine areas in the Luanhe River Basin.</p></div>","PeriodicalId":100993,"journal":{"name":"Ore and Energy Resource Geology","volume":"17 ","pages":"Article 100049"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140638437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of top seal capacity by pseudo-capillary pressure model in Suriname offshore Basin","authors":"Sumangal Dasgupta,&nbsp;Mariah Harris,&nbsp;Zurriya Hayati Bt Hasnan,&nbsp;Ritchie Martua Simamora","doi":"10.1016/j.oreoa.2024.100061","DOIUrl":"10.1016/j.oreoa.2024.100061","url":null,"abstract":"<div><p>Drilled well data and 3D seismic data are integrated to model the seal capacity of the Late Campanian- Maastrichtian mudstone in the exploration Block 52 operated by PETRONAS Suriname Exploration &amp; Production BV. The study proposes simple relationships between interval velocity and porosity, porosity against permeability, and normal compaction of the mudstone with depth, based on the drilled well data. The most likely model of the top seal capacity suggests a maximum column height to be in the range of 330 – 350 m in the study area for gas. The model also suggests a gradual increase in the top seal risk towards the northeastern direction of the study area which may be due to the effect of sediment fairway from the nearby Demerara High. On the other hand, an increasing trend of top seal capacity towards the southwestern side of the block relates to the possible effect of the thicker deposition of transgressive fine-grained package with more compaction resulting in a decreasing trend of porosity and permeability of the mudstone.</p></div>","PeriodicalId":100993,"journal":{"name":"Ore and Energy Resource Geology","volume":"17 ","pages":"Article 100061"},"PeriodicalIF":0.0,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142002282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}