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New design and advanced processing for frac jobs monitoring

New design and advanced processing for frac jobs monitoring

引用

4th EAGE Passive Seismic workshop

作者： Rebel-Schissele, E. Pandolfi, D. Chambefort, M. Bardainne, T. CGGVeritas Services SA United States

the main goal of frac monitoring is to obtain a clear definition of event characterization to ultimately compute SRV. Enhancement in signal-to-noise ratio is one of the key elements used to discriminate a successful technique from others. While in the buried sensors design the noise reduction is a wellaccepted advantage, the simple layout of surface sensors arrayis still under discussion. this abstract presents results obtained with a new surface design used in hydraulic fracturation monitoring showing how geometry and spatial distribution of the sensors can improve SNR and therefore sensitivity. this new design is named'patch design'.the name is self-explanatory: OnePatch consists in a given number of sensors closely distributed;a patch design is a series of patches sparsely distributed above the region of interest. this design has several advantages;we will discuss here the economic and technical benefits of this method. sensor deployment can be easily adapted to the environment optimizing permitting, line clearing, access and avoiding noise prone areas. the economic advantage does not weaken the technical benefit: At the patch scale, the short distance between sensors allowsadvanced summation to optimallypreserve the signal and reduce the noise. the patch design provides a much higher signal-tonoise ratio compared to the usual surface designs. Real cases examples will show how the patch design combines the advantages of both surface and shallow buried array designs.

关键词： signal to noise ratio

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Subsurface Imaging Analysis for Multiple Objects

Subsurface Imaging Analysis for Multiple Objects

引用

4th International Conference on Intelligent Systems, Modelling and Simulation (ISMS)

作者： Karpat, Esin Uludag Univ Dept Elect Engn Bursa Turkey

ISBN: (纸本)9780769549637;9781467356534

Subsurface imaging is one of the challenging complex electromagnetic problems which requires a reliably sensor and effective signal processing algorithms. Problems vary from medical diagnosis (e. g., tumor detection) to the location of buried land mines, underground explosives, hidden headquarters, etc. Current investigations have focused on better antenna system design, signal waveform exploration, sensor integration, and intelligent signal processing methods. Numerical simulations in these areas offer great possibilities not only in understanding physical background of the problem at hand, but also in doing research in these challenging areas. We have developed a two-dimensional virtual tool (a simulation package) based on the well-known finite-difference time-domain (FDTD) method that can be used in simulations of variety of subsurface problems. In this presentation, the virtual tool will be used to generate synthetic data for the direct problem. Various ultrawide band (UWB) antenna array configurations with different time-domain signal waveforms will be reviewed. Finally, Subsurface Imaging (SSI) capabilities will be summarized as an inverse problem.

关键词： FDTD ground penetrating radar (GPR) image reconstruction microwave imaging mine detection object identification sensor scan subsurface imaging synthetic aperture radar tumor detection

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A Method for Differentially Coherent multichannel processing of Acoustic OFDM signals

A Method for Differentially Coherent Multichannel Processing...

引用

ieee 7th sensor array and multichannel signal processing workshop (SAM)

作者： Aval, Yashar M. Stojanovic, Milica Northeastern Univ Boston MA 02115 USA

ISBN: (纸本)9781467310710

We propose a low complexity array processing method for differential detection of OFDM signals over underwater acoustic channels. Partial FFT technique, developed previously for mitigating inter-carrier interference in single-channel receivers operating over time-varying channels, is extended to multichannel configuration. Performance results based on simulation and experimental data demonstrate the advantage of the proposed method compared to conventional differential and coherent detection.

关键词： array processing

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A Robust Adaptive sensor array with Slepian Sequences

A Robust Adaptive Sensor Array with Slepian Sequences

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ieee 7th sensor array and multichannel signal processing workshop (SAM)

作者： Trump, Tonu Tallinn Univ Technol Inst Radio & Telecommun Engn Tallinn Estonia

ISBN: (纸本)9781467310710

this paper investigates an adaptive beamforming technique that is robust against imperfect knowledge of signal and interference arrival directions, antenna calibration errors and other similar imperfections. the proposed technique is based on Generalized Sidelobe Canceller but uses Slepian sequences in both the steering and blocking lobes of the algorithm. Only Slepians corresponding to large spectral concentrations are used in the branches. the theoretical results are verified in a simulation study.

关键词： arrays Robustness Eigenvalues and eigenfunctions Vectors array signal processing Transmission line matrix methods signal processing algorithms

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Network theory-Based Generic Model for Oversampled Receive Antenna arrays

Network Theory-Based Generic Model for Oversampled Receive A...

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ieee 7th sensor array and multichannel signal processing workshop (SAM)

作者： Abramovich, Yuri I. San Antonio, Geoffrey WR Syst Fairfax VA 22030 USA US Navy Res Lab Washington DC 20375 USA

In this paper we derive a generic signal processing model for oversampled linear antenna arrays based on network theory and Nyquist sampling theory. the theoretical model is verified with experimental data collected o... 详细信息

ISBN: (纸本)9781467310710

关键词： Over-the-horizon radar oversampled array HF

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MUSIC-Based array Imaging in Multi-Modal Ultrasonic Non-Destructive Testing

MUSIC-Based Array Imaging in Multi-Modal Ultrasonic Non-Dest...

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ieee 7th sensor array and multichannel signal processing workshop (SAM)

作者： Foroozan, Foroohar ShahbazPanahi, Shahram Univ Ontario Inst Technol Fac Engn & Appl Sci Oshawa ON L1H 7K4 Canada

ISBN: (纸本)9781467310710

We propose a MUSIC based array imaging method for ultrasonic non-destructive testing (NDT) applications. We take the mode conversion phenomenon into account and develop a MUSIC-based imaging technique which exploits the additional information that is present in all propagating modes to the advantage of the imaging process-a problem not previously addressed in the context of NDT applications. Both the numerical simulations as well as data validation show that our proposed approach performs better than the traditional MUSIC based and delay-and-sum (DAS) based imaging algorithms in terms of root mean square error (RMSE) and also provides higher resolution and better side lobe suppression capabilities.

关键词： Ultrasonic array Imaging Multi-Modal Propagation Mode Conversion MUSIC DAS

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Convex Joint Emitter Localization and Passive sensor Network Synchronization

Convex Joint Emitter Localization and Passive Sensor Network...

引用

ieee 7th sensor array and multichannel signal processing workshop (SAM)

作者： Jean, Oren Weiss, Anthony J. Tel Aviv Univ Sch Elect Engn IL-69978 Tel Aviv Israel

ISBN: (纸本)9781467310710

PATENT PENDING. Time-of-arrival (TOA) localization is tightly coupled with sensor time synchronization. Synchronization can be obtained by GPS, atomic clocks or message exchange protocols. All methods affect the energy sources and the synchronization protocols use valuable bandwidth. We present self-synchronized localization algorithms that rely exclusively on TOA measurements performed by the sensor network on passing sources rendering it completely passive. Localization performance is close to that provided by a perfectly synchronized network. Such algorithms can also be used for sensor network synchronization and communication networks in general.

关键词： sensor networks

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A Game-theoretic Approach for Energy-Efficient Detection in Radar sensor Networks

A Game-Theoretic Approach for Energy-Efficient Detection in ...

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ieee 7th sensor array and multichannel signal processing workshop (SAM)

作者： Bacci, Giacomo Sanguinetti, Luca Greco, Maria S. Luise, Marco Univ Pisa Dipartimento Ingn Informaz I-56122 Pisa Italy

ISBN: (纸本)9781467310710

In this work, we propose a distributed power control algorithm able to capture the tradeoff between detection capabilities and power consumption for a radar sensor network. this is achieved by modeling the radar sensors as rational agents engaging in a noncooperative game in which the detection threshold and the transmit power are properly designed according to the Nash equilibrium solution. An iterative algorithm based on a best-response dynamics is proposed to achieve the equilibrium point and its performance is compared to that achieved by a uniform power allocation.

关键词： Energy efficiency

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Incorporating array Nonidealities Into Adaptive Capon Beamformer for Source Tracking

Incorporating Array Nonidealities Into Adaptive Capon Beamfo...

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ieee 7th sensor array and multichannel signal processing workshop (SAM)

作者： Costa, Mario Koivunen, Visa Aalto Univ Dept Signal Proc & Acoust SMARAD CoE FI-00076 Aalto Finland

ISBN: (纸本)9781467310710

An adaptive algorithm for azimuth-angle estimation of moving sources in the presence of array nonidealities is proposed. the method, termed unitary element-space Capon (UES-Capon) beamformer, is robust in the face of small number of snapshots and fully takes into account effects such as mutual coupling, mounting platform reflections, and sensor's misplacement errors. Unlike most of the robust beamformers available in the literature, the proposed method is based on QR-decomposition and real-valued polynomial root tracking. Furthermore, it is applicable to sensor arrays of arbitrary configuration. Numerical results using a real-world antenna array are included, illustrating the excellent performance of the proposed method, both in terms of SINR and fast adaptivity to moving sources.

关键词： capon sensor arrays Snapshots SINR Self tuning tracking

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COMPRESSIVE SENSING IN NONSTATIONARY array processing USING BILINEAR TRANSFORMS

COMPRESSIVE SENSING IN NONSTATIONARY ARRAY PROCESSING USING ...

引用

ieee 7th sensor array and multichannel signal processing workshop (SAM)

作者： Zhang, Yimin D. Amin, Moeness G. Villanova Univ Ctr Adv Commun Villanova PA 19085 USA

ISBN: (纸本)9781467310710

Compressive sensing (CS) has successfully been applied to reconstruct sparse signals and images from few observations. For multi-component nonstationary signals characterized by instantaneous frequency laws, the sparsity exhibits itself in the time-frequency domain as well as the ambiguity domain. In this paper, we examine CS in the context of nonstationary array processing. We show that the spatial averaging of the ambiguity function across the array improves the CS performance by reducing both noise and cross-terms. the corresponding time-frequency distribution which is reconstructed through L-1 minimizations yields significant improvement in time-frequency signature localizations and characterizations.

关键词： array processing Compressed sensing ambiguity function bilinearity Transform

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