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A novel selection method of seismic attributes based on gray relational degree and support vector machine. [PDF]
PLoS ONE, 2018 The selection of seismic attributes is a key process in reservoir prediction because the prediction accuracy relies on the reliability and credibility of the seismic attributes. However, effective selection method for useful seismic attributes is still a
Yaping Huang +5 more
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Automatic Horizon Picking Using Multiple Seismic Attributes and Markov Decision Process
Remote Sensing, 2023 Picking the reflection horizon is an important step in velocity inversion and seismic interpretation. Manual picking is time-consuming and no longer suitable for current large-scale seismic data processing.
Huazhong WANG, Shen Sheng, Chengliang Wu
exaly +3 more sources
Exploring the potential of extracting seismic attributes from image logs for enhanced fracture characterization [PDF]
Scientific ReportsImage logs aid in accurate fracture network characterization by providing detailed information about natural fractures in reservoirs. Moreover, larger-scale fracture mapping and detection can be accomplished by extracting seismic attributes offering ...
Mohsen Ezati +2 more
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Petroleum Research, 2020 Seismic attributes supported by composite logs are the best way that can enable the interpreter to understand seismic data very well and generate a new view of the output results.
Amir Ismail +2 more
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Integrated CNN–LSTM–XGBoost hybrid model predicts shale oil seismic attributes and global oil price trends [PDF]
Scientific ReportsThis study proposes a hybrid CNN–LSTM–XGBoost model that integrates shale oil seismic attributes with macroeconomic indicators to predict global oil prices.
Guoqing Chen +3 more
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Thickness prediction of seismic multi-attributes sand based on association rules and random forests
地质科技通报, 2021 Seismic attributes analysis technique is an important tool for sand thickness prediction. Due to the varieties of seismic attributes, the best seismic attributes need to be optimized before the seismic attributes analysis technique is applied to reduce ...
Zhipeng Qu +3 more
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Artificial Intelligence in Geosciences, 2021 A direct hydrocarbon detection is performed by using multi-attributes based quantum neural networks with gas fields. The proposed multi-attributes based quantum neural networks for hydrocarbon detection use data clustering and local wave decomposition ...
Ya-juan Xue +3 more
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Egyptian Journal of Petroleum, 2020 The present study evaluates the performance of PNN models for porosity prediction using seismic attributes. Four seismic datasets and more than 20 wells from different sedimentary basins located in Libya, Iraq, Egypt and USA are employed to characterize ...
Abdulaziz M. Abdulaziz
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CT Lilun yu yingyong yanjiu, 2022 As an important indicator to describe reservoir characteristics, reservoir modeling and fluid model, the accurate estimation of reservoir physical parameters can provide a powerful reference for reservoir prediction, but the traditional inversion method ...
Shiyou LIU +3 more
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Using seismic attributes in seismotectonic research: an application to the Norcia Mw = 6.5 earthquake (30 October 2016) in central Italy [PDF]
Solid Earth, 2020 In seismotectonic studies, seismic reflection data are a powerful tool to unravel the complex deep architecture of active faults. Such tectonic structures are usually mapped at the surface through traditional geological surveying, whilst seismic ...
M. Ercoli +11 more
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