LOW-MAGNITUDE SEISMIC DATA AUGMENTATION USING DEEP LEARNING

LOW-MAGNITUDE SEISMIC DATA AUGMENTATION USING DEEP LEARNING

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	unknown (author)
التنسيق:	masterThesis
منشور في:	2020
الموضوعات:	Computer Earth Sciences
الوصول للمادة أونلاين:	https://eprints.kfupm.edu.sa/id/eprint/143723/1/Amjad_Thesis_File_2023_updated.pdf
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

مواد مشابهة

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PASSIVE SEISMIC EVENT DETECTION IN THE GRONINGEN AREA USING DEEP LEARNING
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Passive Seismic Event Detection in the Groningen Area Using Deep Learning
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Efficient Seismic Imaging of Hexagonally Sampled Seismic Data
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Efficient Seismic Imaging of Hexagonal Sampled Data
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Advanced Deep Learning for Distributed Acoustic Sensing Data Processing
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SeisDiff-FNO: Seismic data enhancement using Fourier Neural Operator with Diffusion model
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SeisDiffFNO: Seismic Data Enhancement Using Fourier Neural Operator with Diffusion Model
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Towards Novel Paradigm for Seismic Data Processing
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Advanced Deep Learning Approaches for Distributed Acoustic Sensing Data Processing
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Sum-rate maximization and data delivery for wireless seismic data acquisition systems
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Sum-rate Maximization and Data Delivery for Wireless Seismic Data Acquisition Systems
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3D Radon Transform for Seismic Data Processing
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3D Radon Transform for Seismic Data Processing
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Joint Inversion of Direct Current Resistivity and Seismic Refraction Data, using Local and Global Optimization Algorithms with Synthetic and Real Data Examples
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Joint Inversion of Direct Current Resistivity and Seismic Refraction Data, using Local and Global Optimization Algorithms with Synthetic and Real Data Examples
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Inversion of Vertical Seismic Profiling (VSP) Data Via Consecutive Neural Networks
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PARALLAX-BASED APPROACH TO REMOVE SAND DUNE EFFECTS FROM SEISMIC DATA
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Inversion of Vertical Seismic Profiling (VSP) Data Via Consecutive Neural Networks
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Parallax-based Approach to Remove Sand Dune Effects from Seismic Data
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Efficient Approach for Processing of Hexagonally Sampled Exploration Seismic Data using Spiral Architecture.
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Efficient Approach for Processing of Hexagonally Sampled Exploration Seismic Data Using Spiral Architecture.
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SEISMIC DATA CONVENTIONAL VS. LAND-STREAMER SURVEYS: ADVANTAGES AND DISADVANTAGES
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INVESTIGATION OF SEISMIC DATA AMPLIFICATION RESPONSE UNDER THE SAND DUNES OF RUB AL-KHALI
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LOG POROSITY AND LITHOLOGY PREDICTION FROM SEISMIC DATA: FRONTIER AND TENSLEEP FORMATIONS, WYOMING
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Characterizing fluid contacts from seismic data by joint inversion of Acoustic velocity and Impedance
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INVESTIGATION OF SEISMIC DATA AMPLIFICATION RESPONSE UNDER THE SAND DUNES OF RUB AL-KHALI
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Characterizing fluids contact from seismic data by joint inversion of acoustic velocity and impedance
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Log Porosity and Lithology Prediction From Seismic Data: Frontier and Teensleep Formations, Wyoming
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Leveraging Self-Supervision for Seismic Exploration
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Estimation of Reservoir Properties from Seismic Attributes and Well Log Data using Artificial Intelligence
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Estimation of Reservoir Properties from Seismic Attributes and Well Log Data using Artificial Intelligence
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Rock Physics Based Seismic Characterization of Saudi Clastic Reservoirs: Rock Physics Diagnostics of Wireline Data
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Rock Physics Based Seismic Characterization of Saudi Clastic Reservoirs: Rock Physics Diagnostics of Wireline Data
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Leveraging Self-Supervision for the Applications of Seismic Exploration
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LINEAR SEMBLANCE VELOCITY ANALYSIS IN THE T2–X2 DOMAIN: CONCEPT AND APPLICATIONS TO SYNTHETIC AND REAL SEISMIC DATA
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First Arrival Picking of Zero-phase Seismic Data by Hilbert Envelope Empirical Half Window (HEEH) Method
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Linear Semblance Velocity Analysis in the T2-X2 Domain: Concept and Applications to Synthetic and Real Seismic Data
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First Arrival Picking of Zero-phase Seismic Data by Hilbert Envelope Empirical Half Window (HEEH) Method.
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