Search Results - "SanLinn I. Kaka"

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  1. 1

    Reservoir Property Prediction in the North Sea Using Machine Learning by Al-Fakih, Abdulrahman, Kaka, Sanlinn I., Koeshidayatullah, Ardiansyah I.

    Published in IEEE access (2023)
    “…The North Sea sedimentary basin is characterized by geological complexity, encompassing a wide range of rock types and structures, including multiple…”
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    Journal Article
  2. 2

    Detection and Denoising of Microseismic Events Using Time-Frequency Representation and Tensor Decomposition by Iqbal, Naveed, Liu, Entao, McClellan, James H., Al-Shuhail, Abdullatif, Kaka, Sanlinn I., Zerguine, Azzedine

    Published in IEEE access (01-01-2018)
    “…Reliable detection and recovery of a microseismic event in large volume of passive monitoring data is usually a challenging task due to the low signal-to-noise…”
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    Journal Article
  3. 3

    Enhanced First-Break Picking Using Hybrid Convolutional Neural Network and Recurrent Neural Networks by Ayub, Mohammed, Kaka, SanLinn I.

    “…First-break (FB) picking plays an important role in many applications of seismic study. Different machine learning-based methods have been proposed to solve FB…”
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    Journal Article
  4. 4

    Acoustic impedance prediction based on extended seismic attributes using multilayer perceptron, random forest, and extra tree regressor algorithms by Surachman, Lutfi Mulyadi, Abdulraheem, Abdulazeez, Al-Shuhail, Abdullatif, Kaka, Sanlinn I.

    “…Acoustic impedance is the product of the density of a material and the speed at which an acoustic wave travels through it. Understanding this relationship is…”
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    Journal Article
  5. 5

    Geomorphic hazards in south‐west Saudi Arabia: The human–environmental nexus by Sidle, Roy C., Al‐Shaibani, Abdulaziz M., Kaka, SanLinn I.

    Published in Area (London 1969) (01-12-2019)
    “…Despite limited attention to geomorphic hazards in Saudi Arabia, the mountainous region in the south‐west portion of the Kingdom has experienced a series of…”
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    Journal Article
  6. 6

    Mitigating the effects of sand dunes on seismic data from the Rub al Khali basin, Saudi Arabia by Al‐Marzooq, Mustafa, Diallo, Mamadou S., Etienne, Vincent, Tonellot, Thierry, Kaka, SanLinn I.

    Published in Geophysical Prospecting (01-09-2019)
    “…ABSTRACT The Rub Al Khali region in Saudi Arabia is characterized by the presence of sand dunes separated by salt flats, also called Sabkhas. In general, the…”
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    Journal Article
  7. 7

    Microseismic events enhancement and detection in sensor arrays using autocorrelation‐based filtering by Liu, Entao, Zhu, Lijun, Govinda Raj, Anupama, McClellan, James H., Al‐Shuhail, Abdullatif, Kaka, SanLinn I., Iqbal, Naveed

    Published in Geophysical Prospecting (01-11-2017)
    “…ABSTRACT Passive microseismic data are commonly buried in noise, which presents a significant challenge for signal detection and recovery. For recordings from…”
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    Journal Article
  8. 8
  9. 9

    Greedy selection of optimal location of sensors for uncertainty reduction in seismic moment tensor inversion by Dia, Ben Mansour, Fehler, Michael, Kaka, SanLinn I., Scarinci, Andrea, bin Waheed, Umair, Gu, Chen

    Published in Journal of computational physics (15-12-2024)
    “…We address an optimal sensor placement problem through Bayesian experimental design for seismic full waveform inversion for the recovery of the associated…”
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    Journal Article
  10. 10

    Application of 3D static modeling for optimal reservoir characterization by Adelu, Adewunmi O., Aderemi, A.A., Akanji, Adesoji O., Sanuade, Oluseun A., Kaka, SanLinn I., Afolabi, O., Olugbemiga, S., Oke, R.

    Published in Journal of African earth sciences (1994) (01-04-2019)
    “…Robi-1 field, located in the Central Swamp-I depositional belt of the Niger Delta, is largely typified by uncertainties due to complexity of reservoirs…”
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    Journal Article
  11. 11

    Iterative interferometry-based method for picking microseismic events by Iqbal, Naveed, Al-Shuhail, Abdullatif A., Kaka, SanLinn I., Liu, Entao, Raj, Anupama Govinda, McClellan, James H.

    Published in Journal of applied geophysics (01-05-2017)
    “…Continuous microseismic monitoring of hydraulic fracturing is commonly used in many engineering, environmental, mining, and petroleum applications…”
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    Journal Article
  12. 12

    Greedy selection of optimal location of sensors for uncertainty reduction in seismic moment tensor inversion by Dia, Ben Mansour, Fehler, Michael, Kaka, SanLinn I, Scarinci, Andrea, Waheed, Umair bin, Gu, Chen

    Published 03-03-2024
    “…We address an optimal sensor placement problem through Bayesian experimental design for seismic full waveform inversion for the recovery of the associated…”
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    Journal Article
  13. 13

    Array Processing in Microseismic Monitoring: Detection, Enhancement, and Localization of Induced Seismicity by McClellan, James H., Eisner, Leo, Entao Liu, Iqbal, Naveed, Al-Shuhail, Abdullatif A., Kaka, Sanlinn I.

    Published in IEEE signal processing magazine (01-03-2018)
    “…Current development of unconventional resources (such as shale gas, shale oil, and tight sands) requires hydraulic fracturing, which involves injecting fluid…”
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    Magazine Article
  14. 14

    Iterative interferometry-based method for picking microseismic events by Iqbal, Naveed, Al-Shuhail, Abdullatif A, Kaka, SanLinn I, Liu, Entao, Raj, Anupama Govinda, McClellan, James H

    Published 09-03-2017
    “…Continuous microseismic monitoring of hydraulic fracturing is commonly used in many engineering, environmental, mining, and petroleum applications…”
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    Journal Article
  15. 15

    Microseismic events enhancement and detection in sensor arrays using autocorrelation based filtering by Liu, Entao, Zhu, Lijun, Raj, Anupama Govinda, McClellan, James H, Al-Shuhail, Abdullatif, Kaka, SanLinn I, Iqbal, Naveed

    Published 06-12-2016
    “…Passive microseismic data are commonly buried in noise, which presents a significant challenge for signal detection and recovery. For recordings from a surface…”
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    Journal Article