scholarly journals Data-driven estimation of the sensitivity of target-oriented time-lapse seismic imaging to source geometry

Geophysics ◽  
2013 ◽  
Vol 78 (2) ◽  
pp. R47-R58 ◽  
Author(s):  
Andrey H. Shabelansky ◽  
Alison Malcolm ◽  
Michael Fehler
Keyword(s):  
Seismic Data ◽  
Signal To Noise Ratio ◽  
Time Lapse ◽  
Data Driven ◽  
Target Region ◽  
Data Driven Approach ◽  
Cost Of Time ◽  
The Cost ◽  
Time Lapse Imaging ◽  
Source Geometry

The goal of time-lapse imaging is to identify and characterize regions in which the earth’s material properties have changed between surveys. This requires an effective deployment of sources and receivers to monitor the region where changes are anticipated. Because each source adds to the acquisition cost, we should ensure that only those sources that best image the target are collected and used to form an image of the target region. This study presents a data-driven approach that estimates the sensitivity of target-oriented imaging to source geometry. The approach is based on the propagation of the recorded baseline seismic data backward in time through the entire medium and coupling it with the estimated perturbation in the subsurface. We test this approach using synthetic surface seismic and time-lapse VSP field-data from the SACROC field. These tests show that the use of the baseline seismic data enhances the robustness of the sensitivity estimate to errors, and can be used to select data that best image a target zone, thus increasing the signal-to-noise ratio of the image of the target region and reducing the cost of time-lapse acquisition, processing, and imaging.

Multichannel absorption compensation with a data-driven structural regularization

Geophysics ◽  
2019 ◽  
Vol 85 (1) ◽  
pp. V71-V80 ◽  
Author(s):  
Xiong Ma ◽  
Guofa Li ◽  
Hao Li ◽  
Wuyang Yang
Keyword(s):  
Cost Function ◽  
Structural Characteristic ◽  
Seismic Data ◽  
High Frequency ◽  
Signal To Noise Ratio ◽  
Random Noise ◽  
Frequency Noise ◽  
Characteristic Operator ◽  
High Frequency Noise ◽  
The Cost

Seismic absorption compensation is an important processing approach to mitigate the attenuation effects caused by the intrinsic inelasticity of subsurface media and to enhance seismic resolution. However, conventional absorption compensation approaches ignore the spatial connection along seismic traces, which makes the compensation result vulnerable to high-frequency noise amplification, thus reducing the signal-to-noise ratio (S/N) of the result. To alleviate this issue, we have developed a structurally constrained multichannel absorption compensation (SC-MAC) algorithm. In the cost function of this algorithm, we exploit an [Formula: see text] norm to constrain the reflectivity series and an [Formula: see text] norm to regularize the reflection structural characteristic of the compensation data. The reflection structural characteristic operator, extracted from the observed stacked seismic data, is the core of the structural regularization term. We then solve the cost function of SC-MAC by the alternating direction method of multipliers. Benefiting from the introduction of reflection structure constraint, SC-MAC improves the stability of the compensation result and inhibits the amplification of high-frequency noise. Synthetic and field data examples demonstrate that our proposed method is more robust to random noise and can not only improve the resolution of seismic data, but also maintain the S/N of the compensation seismic data.

scholarly journals Reducing the Energy Budget in WSN Using Time Series Models

2020 ◽  
Vol 2020 ◽  
pp. 1-15 ◽  
Author(s):  
Felicia Engmann ◽  
Ferdinand Apietu Katsriku ◽  
Jamal-Deen Abdulai ◽  
Kofi Sarpong Adu-Manu
Keyword(s):  
Data Transmission ◽  
Energy Savings ◽  
Data Driven ◽  
Wireless Sensor ◽  
Time Series Models ◽  
Duty Cycling ◽  
Data Driven Approach ◽  
Save Energy ◽  
The Cost ◽  
Prediction Approach

Energy conservation is critical in the design of wireless sensor networks since it determines its lifetime. Reducing the frequency of transmission is one way of reducing the cost, but it must not tamper with the reliability of the data received at the sink. In this paper, duty cycling and data-driven approaches have been used together to influence the prediction approach used in reducing data transmission. While duty cycling ensures nodes that are inactive for longer periods to save energy, the data-driven approach ensures features of the data that are used in predicting the data that the network needs during such inactive periods. Using the grey series model, a modified rolling GM(1,1) is proposed to improve the prediction accuracy of the model. Simulations suggest a 150% energy savings while not compromising on the reliability of the data received.

Multichannel band-controlled deconvolution based on a data-driven structural regularization

Geophysics ◽  
2018 ◽  
Vol 83 (5) ◽  
pp. R401-R411 ◽  
Author(s):  
Xin Du ◽  
Guofa Li ◽  
Mo Zhang ◽  
Hao Li ◽  
Wuyang Yang ◽  
...  
Keyword(s):  
Seismic Data ◽  
Data Driven ◽  
Inversion Result ◽  
Spatial Continuity ◽  
Structure Characteristics ◽  
The Core ◽  
Alternating Direction ◽  
Full Band ◽  
Weak Reflection ◽  
The Cost

Sparse deconvolution methods frequently invert for subsurface reflection impulses and adopt a trace-by-trace processing pattern. However, following this approach causes unreliability of the estimated reflectivity due to the nonuniqueness of the inverse problem, the poor spatial continuity of structures in the reconstructed reflectivity section, and the suppression on the reflection signals with small amplitudes. We have developed a structurally constrained multichannel band-controlled deconvolution (SC-MBCD) algorithm to alleviate these three issues. The algorithm inverts for a high-resolution seismogram rather than the full-band reflectivity series, thereby reducing the multiple solutions in the inversion and enhancing the reliability of processing results. We also exploited a structural constraint term to guarantee the spatial continuity of the structures, and we enhanced the relatively weak signals. The reflection structure characteristics, defined and extracted from the observed stacked seismic data, are the core of the structural regularization item. We solved the cost function of the SC-MBCD by the alternating direction method of multipliers algorithm. Synthetic model and field data examples demonstrate the rationality of SC-MBCD and confirmed that the algorithm can provide a better inversion result than the conventional sparse spike inversion in terms of retrieving weak reflection events and guaranteeing stratal continuities.

PROCESSING AND IMAGING OF MARINE SEISMIC DATA FROM THE JEQUITINHONHA BASIN (BAHIA, BRAZIL)

2015 ◽  
Vol 33 (3) ◽  
pp. 403
Author(s):  
Lourenildo W.B. Leite ◽  
J. Mann ◽  
Wildney W.S. Vieira
Keyword(s):  
Seismic Data ◽  
Oil And Gas ◽  
Signal To Noise Ratio ◽  
Sedimentary Basins ◽  
Data Driven ◽  
Geological Interpretation ◽  
Static Correction ◽  
Time Migration ◽  
Study Results ◽  
Marine Seismic

ABSTRACT. The present study results from a consistent processing and imaging of marine seismic data from a set collected over sedimentary basins of the East Brazilian Atlantic. Our general aim is first to subsidize geological interpretations with plausible subsurface images for oil and gas exploration. In second place, to verify published schematic geological interpretation for these basins by underlying the sediment/basement contact, from where subvertical faults are projected upwards through the basin followed by folded structures. The data-driven results can be used to trace the reflector boundaries in the time sections, submitted to time-to-depth axis transformation, and to be used as a first model for further basin pressure prediction, where natural pumps necessarily develop for the mechanism of oil and gas accumulation. The applied fundamental techniques are mainly based on the data-driven common reflection surface stack, where it is shown the improvement of the signal-to-noise ratio, the lateral continuity of the reflection events, the resolution, and that time migration collapses the diffraction events. The CRS migration strongly collapsed the diffraction events, allowing some subsurface structures be more evident. The free surface and some shallow internal multiples can be clearly traced for further processing aiming at their attenuation. The interpretation lines are meant to show the geometry of selected reflectors, and to help comparing the results with other similar sections. One can trace some subvertical fault systems starting from the lower part of the section (interpreted as the basement), and their extension upwards through the sedimentary sequence.Keywords: CRS stack, CRS migration, residual static correction, NIP wave tomography. RESUMO. O presente artigo resulta de um processamento e imageamento consistentes de dados sísmicos marinhos de levantamento realizado em bacias sedimentares do Atlântico do Nordeste brasileiro. Nossos objetivos gerais são em primeiro lugar subsidiar as interpretações geológicas com imagens plausíveis do subsolo, e voltadas à exploração de óleo e gás. Em segundo lugar, verificar as interpretações geológicas esquemáticas publicadas para estas bacias, para conferir o delineamento do contato sedimento/embasamento, de onde falhas subvertical são projetadas através da bacia, seguidas de estruturas dobradas. Os resultados baseados em dados reais podem ser usados para delinear interfaces refletoras contidas nas seções tempo, submetidos à transformação da coordenada tempo para profundidade, e que podem ser usados posteriormente como um primeiro modelo para a predição de pressão em bacias sedimentares, onde se desenvolve um bombeamento natural necessário para a acumulação de óleo e gás. As técnicas fundamentais aplicadas baseiam-se principalmente no denominado empilhamento de superfície de reflexão comum, baseado em dados observados, onde se mostra a evolução da relação sinal-ruído, da continuidade lateral dos eventos de reflexão, da resolução, e o colapso dos eventos de difração nas seções de migração do tempo. A migração CRS colapsa fortemente os eventos de difração permitindo que algumas estruturas do subsolo sejam mais evidentes. Múltiplas da superfície livre, e algumas internas rasas, podem ser claramente traçadas para processamento adicional que visam a atenuação. As linhas de interpretação trac¸adas visam mostrar a geometria dos refletores selecionados, e ajudar na comparação com outros resultados de seções semelhantes. Pode-se traçar um sistema de falhas subvertical a partir da base inferior (interpretada como o embasamento) da seção escolhida como referência, e os seus prolongamentos através da sequência sedimentar.Palavras-chave: empilhamento CRS, migração CRS, correção estática residual, tomografia NIP.

Virtual Reference Feedback Tuning for Cascade Control Systems

2016 ◽  
Vol 28 (5) ◽  
pp. 739-744 ◽  
Author(s):  
Huy Quang Nguyen ◽  
◽  
Osamu Kaneko ◽  
Yoshihiko Kitazaki ◽  
Keyword(s):  
Control Systems ◽  
Cascade Control ◽  
Data Driven ◽  
Experiment Data ◽  
Feedback Controllers ◽  
Virtual Reference ◽  
Text Data ◽  
Tuning Method ◽  
Data Driven Approach ◽  
The Cost

[abstFig src='/00280005/17.jpg' width='300' text='Data-driven approach to cascade control systems' ] Virtual Reference Feedback Tuning (VRFT), proposed by Campi et al., is an effective data-driven tuning method used in feedback controllers because the desired parameters implemented in the controller are obtained by using only one-shot experiment data. In this paper, we apply VRFT to cascade control systems. We also discuss the meaning of the cost function to be minimized. A numerical example is demonstrated to show an effectiveness and validity of our proposed method.

scholarly journals Stability Monitoring of Rotorcraft Systems: A Dynamic Data-Driven Approach

2014 ◽  
Vol 136 (2) ◽  
Author(s):  
Siddharth Sonti ◽  
Eric Keller ◽  
Joseph Horn ◽  
Asok Ray
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Signal To Noise Ratio ◽  
Wavelet Packet ◽  
Data Driven ◽  
Series Data ◽  
Dynamic Mode ◽  
Dynamic Data ◽  
Stability Monitoring ◽  
Data Driven Approach

This brief paper proposes a dynamic data-driven method for stability monitoring of rotorcraft systems, where the underlying concept is built upon the principles of symbolic dynamics. The stability monitoring algorithm involves wavelet-packet-based preprocessing to remove spurious disturbances and to improve the signal-to-noise ratio (SNR) of the sensor time series. A quantified measure, called Instability Measure, is constructed from the processed time series data to obtain an estimate of the relative instability of the dynamic modes of interest on the rotorcraft system. The efficacy of the proposed method has been established with numerical simulations where correlations between the instability measure and the damping parameter(s) of selected dynamic mode(s) of the rotor blade are established.

Extracting Cylinder Individual Combustion Data From a High Precision Torque Sensor

2010 ◽  
Author(s):  
Hans Aulin ◽  
Per Tunestal ◽  
Thomas Johansson ◽  
Bengt Johansson
Keyword(s):  
High Precision ◽  
Complex Dynamics ◽  
Signal To Noise Ratio ◽  
Data Driven ◽  
Coefficient Of Determination ◽  
Combustion Model ◽  
Torque Sensor ◽  
Sensor Position ◽  
Data Driven Approach ◽  
Data Driven Modeling

A high precision torque sensor is used for extracting combustion timing information from cylinder individual pressure estimates constructed from the torque measurements. A combination of physics-based and data driven modeling is used where the physical part of the model is based on equations describing contributions of inertial and gas forces while the flexing of the crankshaft, which has rather complex dynamics, is modeled using the data driven approach. The first part of the study shows the derivation of the models and how well the torque at the sensor position can be estimated from the pressures in the four cylinders. The second part demonstrates how it is possible to reconstruct cylinder individual torque and pressure by inverting the pressure to torque model. Going from measured torque to pressure in each cylinder is not trivial since the inverted model is ill conditioned around top dead centre which causes large errors where the precision is the most needed. A parameterized combustion model is therefore introduced to improve the signal to noise ratio in the estimated parameters. The proposed method for detecting combustion demonstrated good results with a coefficient of determination of 0.95 against “true” combustion phasing.

Target-oriented joint least-squares migration/inversion of time-lapse seismic data sets

Geophysics ◽  
2010 ◽  
Vol 75 (3) ◽  
pp. R61-R73 ◽  
Author(s):  
Gboyega Ayeni ◽  
Biondo Biondi
Keyword(s):  
Least Squares ◽  
Seismic Data ◽  
Time Lapse ◽  
Data Sets ◽  
Reservoir Properties ◽  
Phase Distortions ◽  
Time Lapse Imaging ◽  
Least Squares Migration ◽  
Seismic Images ◽  
Degradation Time

Two related formulations are proposed for target-oriented joint least-squares migration/inversion of time-lapse seismic data sets. Time-lapse seismic images can be degraded when reservoir overburden is complex or when acquisition geometries significantly differ, because the migration operator does not compensate for the resulting amplitude and phase distortions. Under these circumstances, time-lapse amplitudes are poor indicators of production-related changes in reservoir properties. To correct for such image degradation, time-lapse imaging is posed as joint inverse problems that utilize concatenations of target-oriented approximations to the linear least-squares imaging Hessian. In both formulations, spatial and temporal constraints ensure inversion stability and geologically consistent time-lapse images. Using two numerical time-lapse data sets, we confirmed that these formulations can attenuate illumination artifacts caused by complex overburden or geometry differences, and that they yield better-quality images than obtainable with migration.

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