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2d seismic interpretation thesis paper

May 16, 2018

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Who Should Attend:

Interpreters who’re needed a comprehending of three-D seismic fundamentals, geophysicists, geologists, technical support personnel, seismic processors, exploration and understanding processing managers, and understanding acquisition managers any geoscience professionals who use 3-D seismic data.

This program should provide you with the attendees obtaining a appear knowledge of contemporary seismic interpretation techniques, not the same as 2D to 3D to 4D interpretation. The program will build from extraction of countless slices to volume-based interpretation to seismic petrophysics through seismic inversion. Attribute analysis will most likely be addressed in the idea of key interpretational domains, e.g. structure, stratigraphy, and reservoir characteristics. Limited regions of acquisition and processing will most likely be addressed, mainly poor how interpretation may be affected according to acquisition and processing schemes. The program was created from an applied perspective, with a lot of examples and hands-on exercises inside the oil industry.

Overview of Seismic Geophysics

Seismic Reflection Surveying

Seismic Interpretation Concepts

Seismic Attribute Analysis

Reservoir Identification and Evaluation

Seismic Petrophysics and understanding Integration

Situation Histories of Seismic Exploration and Reservoir Evaluation


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Let's face it, a nice creamy chocolate cake does a lot for a lot of people; it does for me. Audrey Hepburn

Dowla, F.U.

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Skokowski, P.G.

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Leach, R.R. Jr.

March 1996

ratios are then combined to obtain a short-time estimate of the oxygen saturation level. A final estimate of oxygen saturation is obtained by applying a 15 s smoothing filter on the short-time measurements based on 3.5 s windows sampled every 1.75 s. The design employs two backpropagation neural networks. The first neural network determines the motion characteristics and the second network determines the saturation estimate. Our approach utilizes waveform analysis in contrast to the standard algorithms that are based on the successful detection of peaks and troughs in the signal. The proposed algorithm is numerically efficient and has stable characteristics with a reduced false alarm rate with a small loss in detection. The method can be rapidly developed on a digital signal processing platform.

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Pulse oximeters determine the oxygen saturation level of blood by measuring the light absorption of arterial blood. The sensor consists of red and infrared light sources and photodetectors. A method based on neural networks and wavelet analysis is developed for improved saturation estimation in the presence of sensor motion. Spectral and correlation functions of the dual channel oximetry data are used by a backpropagation neural network to characterize the type of motion. Amplitude ratios of red to infrared signals as a function of time scale are obtained from the multiresolution wavelet decomposition of the two-channel data. Motion class and amplitude more »

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