Works matching AU Kaka, SanLinn
Results: 19
Application of machine learning and deep learning in geothermal resource development: Trends and perspectives.
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- Deep Underground Science & Engineering, 2024, v. 3, n. 3, p. 286, doi. 10.1002/dug2.12098
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Acoustic impedance prediction based on extended seismic attributes using multilayer perceptron, random forest, and extra tree regressor algorithms.
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- Journal of Petroleum Exploration & Production Technology, 2024, v. 14, n. 7, p. 1923, doi. 10.1007/s13202-024-01795-7
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INTEGRATION OF 3D SEISMIC AND WELL LOG DATA FOR THE EXPLORATION OF KINI FIELD, OFFSHORE NIGER DELTA.
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- Petroleum & Coal, 2018, v. 60, n. 4, p. 752
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Cavity and Fracture Detection Using GPR and EM Methods: Comparison with Surface Features of the Rus Formation, KFUPM campus, Saudi Arabia.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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Understanding Microseismic Events during Hydraulic Fracture Stimulation for Hydrocarbon Reservoir Monitoring and Characterization.
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- Geophysical Research Abstracts, 2019, v. 21, p. 1
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Hydrogeomorphic processes affecting dryland gully erosion: Implications for modelling.
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- Progress in Physical Geography: Earth & Environment, 2019, v. 43, n. 1, p. 46, doi. 10.1177/0309133318819403
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Geomorphic hazards in south‐west Saudi Arabia: The human–environmental nexus.
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- Area, 2019, v. 51, n. 4, p. 670, doi. 10.1111/area.12509
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Investigating the Structure of a Coastal Karstic Aquifer through the Hydrogeological Characterization of Springs Using Geophysical Methods and Field Investigation, Gökova Bay, SW Turkey.
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- Water (20734441), 2020, v. 12, n. 12, p. 3343, doi. 10.3390/w12123343
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Forecasting geothermal temperature in western Yemen with Bayesian-optimized machine learning regression models.
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- Geothermal Energy, 2025, v. 13, n. 1, p. 1, doi. 10.1186/s40517-024-00324-3
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ASSESSMENT OF DIFFUSIVE RECHARGE AT REGIONAL SCALE IN KARST SYSTEMS, AMAZON BASIN, ECUADOR.
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- Acta Carsologica, 2024, v. 53, n. 1, p. 21, doi. 10.3986/ac.v53i1.13618
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Automated SVD filtering of time-frequency distribution for enhancing the SNR of microseismic/microquake events.
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- Journal of Geophysics & Engineering, 2016, v. 13, n. 6, p. 1, doi. 10.1088/1742-2132/13/6/964
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Mitigating the effects of sand dunes on seismic data from the Rub al Khali basin, Saudi Arabia.
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- Geophysical Prospecting, 2019, v. 67, n. 7, p. 1825, doi. 10.1111/1365-2478.12751
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Microseismic events enhancement and detection in sensor arrays using autocorrelation-based filtering.
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- Geophysical Prospecting, 2017, v. 65, n. 6, p. 1496, doi. 10.1111/1365-2478.12491
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Preliminary geotechnical characterization of a site in southwest Nigeria using integrated electrical and seismic methods.
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- Journal of the Geological Society of India, 2017, v. 89, n. 2, p. 209, doi. 10.1007/s12594-017-0585-z
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Seismic Risk Assessment of Chania, Greece, Using an Integrated Computational Approach.
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- Applied Sciences (2076-3417), 2021, v. 11, n. 23, p. 11249, doi. 10.3390/app112311249
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Gravity Survey on the Oil-Bearing Dammam Dome (Eastern Saudi Arabia) and Its Implications.
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- Remote Sensing, 2022, v. 14, n. 3, p. 735, doi. 10.3390/rs14030735
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Blind noise estimation and denoising filter for recovery of microquake signals.
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- Exploration Geophysics, 2019, v. 50, n. 5, p. 502, doi. 10.1080/08123985.2019.1624479
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Observation-Driven Method Based on IIR Wiener Filter for Microseismic Data Denoising.
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- Pure & Applied Geophysics, 2018, v. 175, n. 6, p. 2057, doi. 10.1007/s00024-018-1775-3
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Ground-Motion Relations for Subduction-Zone Earthquakes in Java Island, Indonesia.
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- Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ), 2019, v. 44, n. 1, p. 449, doi. 10.1007/s13369-018-3563-x
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