Tectonostratigraphic analysis of the syn-rift infill in the Drava Basin, southwestern Pannonian Basin System

Rukavina, David; Saftić, Bruno; Matoš, Bojan; Močilac, Iva Kolenković; Fuček, Vlasta Premec; Cvetković, Marko

doi:10.1016/j.marpetgeo.2023.106235

Cited by 3 publications

(3 citation statements)

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“…Papuk, but have not been studied in detail there (Šikić et al, 1977;Šparica et al, 1984;Jamičić and Brkić, 1987;Jamičić, 1989;Crnko, 2014;Šikić, 2014a, 2014b) (see Figure 1). They have also been registered in the subsurface where they are covered by younger deposits (Pavelić, 1998;Lučić et al, 2001;Saftić et al, 2003;Malvić, 2012;Bigunac, 2022;Rukavina et al, 2023) indicating the existence of a large Early Miocene alluvial plain in the NCB (see Figure 8). The palaeogeographic reconstruction is supported by more facts.…”

Section: Palaeogeographic Implications Of Alluvial Depositsmentioning

confidence: 94%

“…Medvednica and Mt. Požeška) (after the corrections of the flow direction due to the postdepositional CCW rotation of 30°), i.e towards the Drava Depression as the oldest and deepest tectonic elongated zone where the rifting processes commenced (Pavelić, 2001;Rukavina et al, 2023). Contemporaneously, in the area of Mt.…”

Section: Palaeogeographic Implications Of Alluvial Depositsmentioning

confidence: 99%

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Alluvial-Lacustrine-Marine Complex of Mount Medvednica: The Early Syn-Rift Deposition and Palaeogeography (Early to Middle Miocene, North Croatian Basin)

Pavelić

2024

MGPB

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Mt. Medvednica belongs to the western part of the Neogene rift-type North Croatian Basin that occupies the south-western Pannonian Basin System. The Lower to Middle Miocene continental to marine sedimentary complex was studied on Mt. Medvednica in order to interpret the early syn-rift depositional environment and reconstruct palaeogeography of the North Croatian Basin. Based on facies analysis, deposits are grouped into 16 facies based on their lithological characteristics. Six of the facies belong to the alluvial environment that is characterized by coarse-grained bedload siliciclastics. Nine facies are of lacustrine origin. They comprise: a) limestone of shallow lake carbonate bench with silty coal of vegetated marsh, b) deep lake and prodelta marl with sand and conglomerate intercalations deposited by gravity flows, and c) coarse-grained Gilbert-type delta conglomerate. The lacustrine deposits compose a transgressive-regressive sequence. The studied succession ends by facies of calcareous silt intercalated by conglomerates. These deposits belong to the marine offshore to prodelta as the consequence of establishment of the connection to the sea. The deposition was strongly controlled by allogenic factors, such as synsedimentary tectonics, climate, eustatic sea level changes and explosive volcanic activity. The alluvial deposits of Mt. Medvednica are the oldest syn-rift deposits and belong to the large alluvial plain that probably covered the entire North Croatian Basin in the Ottnangian and the Karpatian. These deposits are overlain by the lower Badenian lacustrine deposits, but the question of the existence of one large or several small lakes in the early Badenian North Croatian Basin remains open.

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Section: Palaeogeographic Implications Of Alluvial Depositsmentioning

confidence: 94%

Section: Palaeogeographic Implications Of Alluvial Depositsmentioning

confidence: 99%

Alluvial-Lacustrine-Marine Complex of Mount Medvednica: The Early Syn-Rift Deposition and Palaeogeography (Early to Middle Miocene, North Croatian Basin)

Pavelić

2024

MGPB

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“…The tectonic evolution of lacustrine rift basins is a dynamic process involving the gradual changing of the provenance and sedimentary system [15]. Previous provenance studies have rarely been conducted according to the evolution stages of the basin, resulting in contradictory conclusions, such as the provenance from the direction of the gentle slope zone and fault-terrace zone serving as the major and minor sediment sources, respectively; fault-terrace zones with minor sediment sources only deposit smallscale and short-axis turbidite fans, alluvial fans, and fan deltas, which hardly provide favorable reservoirs [16,17], and the provenance from the direction of both gentle slope zones and fault-terrace zones serves as a major sediment source and forms large-scale sedimentary systems with potential reservoirs [18,19]. Provenance analysis results substantially affect the classification of sedimentary systems and the reconstruction of the sedimentary history, further facilitating petroleum exploration.…”

Section: Introductionmentioning

confidence: 99%

A Multi-Faceted Approach to Determining the Provenance of the Lacustrine Rift Basin in the Initial Rifting Stage: A Case Study of the Paleocene Qintong Sag, Subei Basin, East China

Jiang,

Liu,

Xia

et al. 2024

Minerals

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Research on the provenance of sedimentary systems is key to better understanding the sedimentary framework and improving exploration-associated decision-making and deployment. With regard to the provenance of sedimentary systems, there is still poor understanding in the initial rifting stage due to imbalanced and insufficient exploration and a common lack of seismic data, which have seriously hindered oil exploration in the Qintong Sag, Subei Basin. This study aimed at investigating the provenance in the direction of the fault-terrace zone in the southeast part of the Qintong Sag and aimed to examine whether large-scale sedimentary systems are formed by these sediment sources. Integrated analysis of heavy minerals, sandstone petrologic maturity, drilling cutting dates, 3D seismic data, and well logs was employed to identify the provenance. This study is the first time that large-scale provenance from the direction of the fault-terrace zone has been discovered in the third member of the Paleocene Funing Formation (referred to as the third Mbr of the Funing Fm in this paper) in the Subei Basin, east China. The documentation shows that sediments from the northwest Wubao Low Uplift and the southeast Taizhou Uplift can be distinguished in the Qintong Sag, with the large-scale delta system in the central and eastern part of the Qintong Sag comprising sediments from the Taizhou Uplift, improving upon previous understanding of the sedimentary framework. The deposition formed by the Taizhou Uplift provenance system was characterized by gradual weakening of the hydrodynamic forces, a decreasing sediment supply, and shrinking of the retrogradational delta depositional systems with good reservoir qualities, which are characterized by high-quality source–reservoir–cap combinations and are likely to develop into a hydrocarbon-rich belt. The discovery of the Taizhou Uplift provenance proves that there may be major provenance and large-scale sedimentary systems from the fault-terrace zone of the rift basins in the initial rifting stage. The experience of rapid retrogradation showed that these large-scale delta systems are likely to only flourish in the initial rifting stage. This study is helpful for improving the understanding of sediment provenance and the sedimentary framework of lacustrine rift basins in the initial rifting stage.

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Enhancing the Understanding of Subsurface Relations: Machine Learning Approaches for Well Data Analysis in the Drava Basin, Pannonian Super Basin

Brcković,

Orešković,

Cvetković

et al. 2024

Applied Sciences

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The aim of this study was to confirm if predictive regression algorithms can provide reliable results in missing geophysical logging data in the western and eastern parts of the Drava Super Basin, especially Gola Field, and to apply unsupervised machine learning methods for a better understanding of lithological subsurface relations. Numerous regression models have been used for the estimation of prediction accuracy, along with some clustering algorithms to support the estimation of lithology distribution estimations in well log datasets, consisting of 20 wells in total. Tree-based algorithms and the boosting algorithm have been optimized and proven valuable in predicting well log data when they are not measured or are unavailable at all depth intervals. For blind datasets, predictions become much less reliable. For this purpose, neural networks with at least one Long Short-Term Memory (LSTM) layer have significantly improved the accuracy and reliability of predictions, not in terms of absolute values but in the aspect of the trends in values that change with the depth and other well features, as well as in terms of the magnitudes. Trendlines can further be used for pattern recognition or as a newly engineered feature. Unsupervised learning has confirmed reliability in lithology recognition on validation sets and has proven to be a great asset in distinguishing variabilities in the petrophysical properties of sediments.

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Tectonostratigraphic analysis of the syn-rift infill in the Drava Basin, southwestern Pannonian Basin System

Cited by 3 publications

References 73 publications

Alluvial-Lacustrine-Marine Complex of Mount Medvednica: The Early Syn-Rift Deposition and Palaeogeography (Early to Middle Miocene, North Croatian Basin)

Alluvial-Lacustrine-Marine Complex of Mount Medvednica: The Early Syn-Rift Deposition and Palaeogeography (Early to Middle Miocene, North Croatian Basin)

A Multi-Faceted Approach to Determining the Provenance of the Lacustrine Rift Basin in the Initial Rifting Stage: A Case Study of the Paleocene Qintong Sag, Subei Basin, East China

Enhancing the Understanding of Subsurface Relations: Machine Learning Approaches for Well Data Analysis in the Drava Basin, Pannonian Super Basin

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