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Case study of broadband multimeasurement streamer and multilevel source seismic data from the North Sea 77

Case study of broadband multimeasurement streamer and multil...

引用

77th EAGE conference and Exhibition 2015: Earth Science for Energy and Environment

作者： Zarkhidze, A.V. Abbas, Y. Dhelie, P.E. Danielsen, V. Lie, J.E. Schlumberger United Kingdom Lundin Norway AS Norway

ISBN: (纸本)9781510806627

We present a case study of the Edvard Grieg field in the North Sea covering a seismic survey acquired using a multimeasurement towed streamer system to provide a high-quality broadband image, with improved seismic interpretation at target and a high resolution representation of shallow subsurface. Analysis of the individual measurements demonstrates the high fidelity pressure (P) component, with a good signal-to-noise separation on both the vertical (Pz) and the crossline horizontal (Py) pressure gradient measurements. The three components are used for the purpose of wavefield reconstruction by joint deghosting and crossline reconstruction. Images and spectra of the wavefield reconstruction results are presented, including comparison with deghosting using only pressure and vertical particle velocity (Vz). A high-resolution processing sequence through prestack time migration is described, covering the advantages and challenges of processing very densely sampled shot gathers at 6.25 x 6.25m surface grid. The data was migrated with a small isometric subsurface bin, and high-resolution images of the reservoir zone and the shallow surface demonstrate the advantage of the multimeasurement approach and provide data suitable for shallow geohazard analysis.

关键词： Image enhancement

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Rethinking Programmable Earable Processors 22

Rethinking Programmable Earable Processors

引用

49th IEEE/ACM Annual International Symposium on Computer Architecture (ISCA)

作者： Bleier, Nathaniel Mubarik, Muhammad Husnain Chakraborty, Srijan Kishore, Shreyas Kumar, Rakesh Univ Illinois Urbana IL 61801 USA

ISBN: (纸本)9781450386104

Earables such as earphones [15, 16, 73], hearing aids [28], and smart glasses [2, 14] are poised to be a prominent programmable computing platform in the future. In this paper, we ask the question: what kind of programmable hardware would be needed to support earable computing in future? To understand hardware requirements, we propose EarBench, a suite of representative emerging earable applications with diverse sensor-based inputs and computation requirements. Our analysis of EarBench applications shows that, on average, there is a 13.54x-3.97x performance gap between the computational needs of EarBench applications and the performance of the microprocessors that several of today's programmable earable SoCs are based on;more complex microprocessors have unacceptable energy efficiency for Earable applications. Our analysis also shows that EarBench applications are dominated by a small number of digital signal processing (DSP) and machine learning (ML)-based kernels that have significant computational similarity. We propose SpEaC - a coarse-grained reconfigurable spatial architecture - as an energy-efficient programmable processor for earable applications. SpEaC targets earable applications efficiently using a) a reconfigurable fixed-point multiply-and-add augmented reduction tree-based substrate with support for vectorized complex operations that is optimized for the earable ML and DSP kernel code and b) a tightly coupled control core for executing other code (including non-matrix computation, or non-multiply or add operations in the earable DSP kernel code). Unlike other CGRAs that typically target general-purpose computations, SpEaC substrate is optimized for energy-efficient execution of the earable kernels at the expense of generality. Across all our kernels, SpEaC outperforms programmable cores modeled after M4, M7, A53, and HiFi4 DSP by 99.3x, 32.5x, 14.8x, and 9.8x respectively. At 63mW in 28 nm, the energy efficiency benefits are 1.55x, 9.04x, 68.3x, and 32.

关键词： Digital signal processing

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Distributed spatio-temporal multi-target association and tracking

Distributed spatio-temporal multi-target association and tra...

引用

IEEE International conference on Acoustics, Speech and signal processing

作者： G. Ren I. D. Schizas V. Maroulas Dept. of EE Univ. of Texas at Arlington Arlington TX USA

ISBN: (纸本)9781467369985

Particle filtering is combined with sparse matrix decomposition techniques to address the problem of tracking multiple targets using nonlinear sensor observations measuring signal strength. The unknown number of targets may be time-varying, while sensors are spatially scattered. Norm-one regularized matrix factorization is employed to decompose the sensing data covariance matrix into sparse factors whose support facilitates the task of associating the targets with sensor measurements. The novel sensors-to-targets association scheme is developed using distributed optimization which is further integrated with particle filtering mechanisms to perform accurate tracking. Numerical tests demonstrate the tracking superiority of the proposed algorithm over alternative approaches.

关键词： Particle filtering distributed processing multi-target tracking sensor-to-targets association Particle filters Distributed processing Target tracking tracking targets matrix decomposition signal Intensity variance covariance matrix Sensors

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Machine learning approach to quantifying ISIP and friction losses from stage by stage hydraulic fracture treatment falloff data

Machine learning approach to quantifying ISIP and friction l...

引用

SPE Annual Technical conference and Exhibition 2020, ATCE 2020

作者： Alwarda, Fahad University of Houston United States

ISBN: (纸本)9781613997239

While diagnostic fracture injection tests (DFIT) data is relatively rare, pressure and flow rate data are widely collected for hydraulic fracture treatment stages in multiple transverse-fracture horizontal wells, both during pumping and during pressure falloff after the end of pumping. Recent papers have shown value in applying analysis developed for DFIT data to hydraulic fracture treatment falloff (HFTF) data. As is often the case with routine processing of large volumes of data, the time required for analyzing HFTF datasets for each of the treatment stages in a long horizontal well may be overly expensive in time and human resources. To address this issue, this paper applies machine learning techniques to standard HFTF pressure data, to produce data-driven mathematical models that estimate wellbore and perforation friction loss, near-wellbore tortuosity friction loss, and the instantaneous shut-in pressure (ISIP). The models are trained based on a small subset of hydraulic fracture treatment stages, data from for which is processed manually, to provide targets for model outputs. Model structure is based on multivariate statistical methods, including principal component regression (PCR) and partial least squares regression (PLSR). Comparison between state-by-stage friction losses and ISIP values estimated manually and those quantified by machine learning reveals good agreement and underscores the value of the machine learning approach as a practical tool for field application tasks, including well and pad completion design decisions related to perforating strategies, and fracture and well spacing. Copyright © 2020, Society of Petroleum Engineers

关键词： Fracture

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A Cascaded data Extrapolation Algorithm of Aerial Weak targets Detection of OTHR

A Cascaded Data Extrapolation Algorithm of Aerial Weak Targe...

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CIE International conference on Radar (RADAR)

作者： Huang, Wenli Chen, Jianwen Bao, Zheng Wuhan Early Warning Inst Key Res Lab Wuhan 430019 Hubei Peoples R China

ISBN: (纸本)9781509048281

The signal to noise ratio (SNR) of the weak aerial target is usually low, which is difficult to detect. In this paper, we present a method that joined a cascade data extrapolation (CDATEX) method in the sky wave Over-the-Horizon Radar (OTHR) signal processing, the first stage of data extrapolation (DATEX) was applied to the slow time data in the range unit one by one, the second stage of DATEX was applied to the frequency response data of the Doppler unit in the range-Doppler domain The experimental simulations show that the CDATEX algorithm can increase range and Doppler resolution, meanwhile, improve the SNR of the weak aerial target, thus, the method will benefit OTHR to detect weak aerial targets.

关键词： cascaded DATEX method the sky wave OTHR the signal to noise ratio (SNR) the detection of weak target

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Target Parameter Estimation in Reduced Dimension STAP for Airborne Phased Array Radar 23

Target Parameter Estimation in Reduced Dimension STAP for Ai...

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23rd IEEE International Multi-Topic conference, INMIC 2020

作者： Hussain, Ahmed Hussain, Israr Mir, Imran Afzal, Waqas Anjum, Umar Channa, Babar Ali Air University Aac Department of Avionics Kamra Attock Pakistan Cust Controls and Signal Processing Islamabad Pakistan

ISBN: (纸本)9781728198934

Space-Time Adaptive processing (STAP) is an integral part of modern airborne phased array radars for slow-moving target detection. Conventional Pulse-Doppler radars estimate target parameters from the range-Doppler map. The estimated bearing of a target is limited by antenna beamwidth. STAP radar allows detection of targets in angle and Doppler domain. Hence, the target angle can be measured in a STAP radar without resorting to a monopulse feed network. In this study, we study methods to estimate target parameters for Reduced Dimension (RD) STAP radar. We apply STAP weights on the transformed input data to obtain a 3D processed array. The 3D array is projected onto a range vector and angle-Doppler domain. The target parameters are estimated by isolating peak response in the angle-Doppler projection of the detected range bin. The performance of the proposed algorithms is analyzed in terms of estimation accuracy as well as STAP metrics. Accuracy of angle and Doppler estimates were found to be improved by increasing spatial and temporal dimensions. © 2020 IEEE.

关键词： Parameter estimation

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A Novel Range Super-Resolution Algorithm for UAV Swarm Target Based on LFMCW Radar 8th

A Novel Range Super-Resolution Algorithm for UAV Swarm Targe...

引用

8th International conference on Communications, signal processing, and Systems, CSPS 2019

作者： Yang, Tianyuan Su, Tao Zheng, Jibin National Laboratory of Radar Signal Processing Xidian University Xi’an710071 China

ISBN: (纸本)9789811394089

We consider the problem of estimating range about unmanned aerial vehicle (UAV) swarm target. The main challenges are small radar cross-section (RCS) and high target density. In this paper, for better accumulation, we focus the original beat signal by Focus-Before-Detect (FBD) and obtain the velocity. Based on the velocity, we form a compensation matrix to eliminate the range migration (RM). Then, a novel range super-resolution algorithm based on the gridless sparse method is implemented that improves the range resolution to a great extent. Experimental results based on simulated and real measured data are carried out to demonstrate the accuracy of the model and the effectiveness of the algorithm. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Antennas

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Research on the low-frequency weak signal detection method based on MFB topology filters 6

Research on the low-frequency weak signal detection method b...

引用

6th IEEE International conference on Automation, Electronics and Electrical Engineering, AUTEEE 2023

作者： Ding, Jicheng Yin, Guanggao Hu, Hongzhi Guilin University of Electronic Technology Guilin China

ISBN: (纸本)9798350305623

Raw signals in nature often appear in a very weak way, the general means of detection is through special sensors or electrodes directly or indirectly in contact with the signal medium to be tested, the converted electrical signals are amplified and filtered for processing and then accessed to the terminal for the analysis and storage of data [1]. Due to the complexity of the environment, testing different variables requires the use of different test devices. Based on the above considerations, this paper independently designed a low-frequency weak electrical signal detection device based on MFB topology filtering and instrumentation amplification. In the device sensor input using PJ-392 interface, the interface supports 3. 5mm audio coaxial cable, with good low noise transmission characteristics and versatility. The pre-stage uses a high-quality instrumentation amplifier INA118, which significantly improves the common mode rejection ratio and amplifies the differential mode signal;the intermediate stage adopts a high-order MFB topology filter, which can effectively filter out the environmental high-frequency noise;the post-stage adopts an industrial frequency trap, which eliminates the industrial frequency noise brought by the utility cable;in terms of the power supply, the use of a dual-charged pump to provide a negative power supply, which reduces the complexity of the power supply system;through the optimization of the hardware, the The use of small package devices improves the integration of the instrument. In this paper, the processor is used for the corresponding acquisition, processing and output display of the converted signal. The validation shows that the device has a good ability to capture low-frequency weak signals and strong noise suppression performance, which effectively realizes the bioelectricity detection, tiny fixed frequency vibration detection, infrasound detection and other functions. It can be widely used in industry, precision detection and o

关键词： DSP processor Instrument Amplification MFB Topology Filters Weak signal Detection

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Memorized testing and measuring technology

Memorized testing and measuring technology

引用

Proceedings of the 1994 IEEE Instrumentation and Measurement Technology conference

作者： Zu, Jing Shen, Xiangnan Zhang, Wendong North China Inst of Technology Shanxi China

This paper introduces to you a kind of micro-instrumentation composed of the sensor, the condition amplifier, the A/D converter, the memory, the controller, the interface circuit and the cell. It is of small size, capable of working under high impact acceleration and high environmental temperatures. It is of very low power consumption, leadless and can be situated into the body of an object being measured, for example, in the piston of a working engine, on details rotating with high speed, several kilometers deep in an oil-well, in the flighting projectile, on the gearing gear and in the bore core of a firing artillery. Suitable for any situations in which it is difficult to set leads, it records signals needed during the working process of the objects being measured and then is taken out after the process finishes and the data of it can be read and processed by a computer. This article means to reveal the configuration principle of the device and to discuss fundamentals of memorized testing and measuring, accuracy guarantee, ASIC and some typical examples.

关键词： Digital signal processing

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Clutter Suppression of Wind Farm for Airborne Radar Based on EFA

Clutter Suppression of Wind Farm for Airborne Radar Based on...

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2021 CIE International conference on Radar, Radar 2021

作者： Zhang, Ying Zhang, Xinyun He, Weikun Wang, Xiaoliang Civil Aviation University of China Tianjin Key Lab for Advanced Signal Processing Tianjin China

ISBN: (纸本)9781665498142

With the rapid development of wind power generation, the clutter generated by wind farms may lead to the problems such as decreased detection probability, increased false alarm rate, and target track divergence. Research on the wind farm clutter mitigation technology for airborne radar is vital. Considering the special problems of the wind farm clutter mitigation for airborne radar, such as the less prior information and the more complicated spectrum of the echoes, it is difficult to suppress the wind farm clutter with non-Gaussian and dynamic characteristics. In this paper, the extended factored approach (EFA) algorithm is used to suppress the wind farm clutter through space-time adaptive processing of airborne array radar echoes. The EFA algorithm does not need the prior information of wind farm clutter or a large number of training data and can adaptively form null with a certain width in the Doppler domain. The null is used to suppress the wind farm clutter, which can avoid the interference of the wind farm clutter on the detection of aircraft targets and improve the detection probability of airborne radar. The experiment results verify the effectiveness of the proposed method. © 2021 IEEE.

关键词： airborne radar clutter suppression extended factored approach wind farms

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