scholarly journals Estimating shallow shear velocities with marine multicomponent seismic data

Geophysics ◽  
2002 ◽  
Vol 67 (6) ◽  
pp. 1991-2004 ◽  
Author(s):  
Michael H. Ritzwoller ◽  
Anatoli L. Levshin

Accurate models of shear velocities in the shallow subsurface (<300 m depth beneath the sea floor) would help to focus images of structural discontinuities constructed, for example, with P to S converted phases in marine environments. Although multicomponent marine seismic data hold a wealth of information about shear velocities from the sea floor to depths of hundreds of meters, this information remains largely unexploited in oil and gas exploration. We present a method, called the multiwave inversion (MWI) method, designed to use a wide variety of information in marine seismic data. As presented here, MWI jointly uses the observed traveltimes of P and S refracted waves, the group and phase velocities of fundamental mode and first overtone interface waves, and the group velocities of guided waves to infer shear velocities and Vp/Vs ratios. We show how to obtain measurements of the traveltimes of these diverse and, in some cases, dispersive waves and how they are used in the MWI method to estimate shallow shear velocities. We illuminate the method with synthetic and real multicomponent marine data and apply MWI to some real data to obtain a model of Vs with uncertainty estimates to a depth of 225 m and Vp/Vs to about 100‐m depth. We conclude by discussing the design of offshore surveys necessary to provide information about shallow shear‐velocity structures, with particular emphasis on the height of the acoustic source above the sea floor.

Geophysics ◽  
2020 ◽  
pp. 1-104
Author(s):  
Volodya Hlebnikov ◽  
Thomas Elboth ◽  
Vetle Vinje ◽  
Leiv-J. Gelius

The presence of noise in towed marine seismic data is a long-standing problem. The various types of noise present in marine seismic records are never truly random. Instead, seismic noise is more complex and often challenging to attenuate in seismic data processing. Therefore, we examine a wide range of real data examples contaminated by different types of noise including swell noise, seismic interference noise, strumming noise, passing vessel noise, vertical particle velocity noise, streamer hit and fishing gear noise, snapping shrimp noise, spike-like noise, cross-feed noise and streamer mounted devices noise. The noise examples investigated focus only on data acquired with analogue group-forming. Each noise type is classified based on its origin, coherency and frequency content. We then demonstrate how the noise component can be effectively attenuated through industry standard seismic processing techniques. In this tutorial, we avoid presenting the finest details of either the physics of the different types of noise themselves or the noise attenuation algorithms applied. Rather, we focus on presenting the noise problems themselves and show how well the community is able to address such noise. Our aim is that based on the provided insights, the geophysical community will be able to gain an appreciation of some of the most common types of noise encountered in marine towed seismic, in the hope to inspire more researchers to focus their attention on noise problems with greater potential industry impact.


2015 ◽  
Vol 33 (3) ◽  
pp. 403
Author(s):  
Lourenildo W.B. Leite ◽  
J. Mann ◽  
Wildney W.S. Vieira

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.


Geophysics ◽  
1983 ◽  
Vol 48 (7) ◽  
pp. 910-933 ◽  
Author(s):  
Brian Dent

Variable water depth can cause severe degradation of marine seismic data. This paper presents a technique for correcting the effects of water depth variation and is a case history of applying the technique to a line of data from the Philippines offshore. The line crosses a deep submarine valley. It will be shown that when the water depth changes rapidly relative to the cable length, the timing variations introduced will not be static. They are dynamic, not static, because they differ for different event times of a single trace. To compensate for these dynamic timing variations, a two‐stage technique was used. A ray‐trace modeling program calculated the traveltimes to several depths, both for where the valley is present and where it is absent. A second program used the model results to shift the samples on all seismic traces to the time they would have if the valley were not present. The most difficult part of this project was finding a good model. The model is composed of two parts: the depth of the sea floor and the velocity‐depth relationships below the sea floor. The depth of the sea floor was estimated from the first arrivals on the near‐offset traces of the seismic data. This was difficult because of the shallowness of the normal sea floor (about 80 m) and the large offset between the shot and the first group (255 m). The first arrivals were head waves, not reflections, off the sea floor. The reflections from the valley had to be migrated to obtain accurate depths. The subsea velocity‐depth relations also had to be estimated from the seismic data. However, the results of applying the corrections calculated from this model to the data show a definite enhancement of reflector continuity; velocity semblance contour plots show the same enhancement. These results are contrasted with the results of applying purely static corrections. The static corrections also improve reflector continuity, but the dynamic corrections do a better job of it. Although the dynamic corrections improve a brute stack of the data, more importantly they allow additional processing to produce a much better final stack. Thus, the data were further processed to produce an optimal final stack. The dynamic corrections in particular allowed a much better choice of normal moveout (NMO) velocities near the valley. Also, a zone of near‐surface, high‐velocity material near the valley was detected by distortion of reflections on 100 percent shot records. Compensation for the zone was effected with a set of localized, static corrections. The data were also muted, band‐pass filtered, and dip filtered. Although the final stack is greatly improved, there is still a serious degradation of the data under the valley. This is because the valley not only introduces timing errors, but it also reduces the amplitude of the reflections returned from below it. The valley also introduces coherent noise in the form of scattering off its sides and enhanced multiples. These additional problems not only affect the final stack, but limit the accuracy with which the model can be built to correct the timing errors. Thus, corrections for the effects of highly variable water depth, preferably dynamic, are required in order to obtain the optimal stack of seismic data recorded over such a sea bottom. The difficulty in obtaining the corrections would be greatly reduced if accurate, closely spaced, fathometer measurements of water depth were made an integral part of marine seismic data recording.


2017 ◽  
Vol 39 (6) ◽  
pp. 106-121
Author(s):  
A. O. Verpahovskaya ◽  
V. N. Pilipenko ◽  
Е. V. Pylypenko

2016 ◽  
Vol 33 (3) ◽  
Author(s):  
Lourenildo W.B. Leite ◽  
J. Mann ◽  
Wildney W.S. Vieira

ABSTRACT. The present case 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... 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...


2019 ◽  
Author(s):  
Ian W.D. Dalziel ◽  
◽  
Robert Smalley ◽  
Lawrence A. Lawver ◽  
Demian Gomez ◽  
...  

Sensors ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 179
Author(s):  
Robert Neubeck ◽  
Mareike Stephan ◽  
Tobias Gaul ◽  
Bianca Weihnacht ◽  
Lars Schubert ◽  
...  

The operation efficiency and safety of pressure vessels in the oil and gas industry profits from an accurate knowledge about the inner filling distribution. However, an accurate and reliable estimation of the multi-phase height levels in such objects is a challenging task, especially when considering the high demands in practicability, robustness in harsh environments and safety regulations. Most common systems rely on impractical instrumentation, lack the ability to measure solid phases or require additional safety precautions due to their working principle. In this work, another possibility to determine height levels by attenuation tomography with guided elastic waves is proposed. The method uses a complete instrumentation on the outer vessel shell and is based on the energy conversion rates along the travel path of the guided waves. Noisy data and multiple measurements from sparsely distributed sensor networks are translated into filling levels with accuracies in the centimeter range by solving a constrained optimization problem. It was possible to simultaneously determine sand, water, and oil phases on a mock-up scale experiment, even for artificially created sand slopes. The accuracy was validated by artificial benchmarking for a horizontal vessel, giving references for constructing an affordable prototype system.


2021 ◽  
Vol 11 (11) ◽  
pp. 4874
Author(s):  
Milan Brankovic ◽  
Eduardo Gildin ◽  
Richard L. Gibson ◽  
Mark E. Everett

Seismic data provides integral information in geophysical exploration, for locating hydrocarbon rich areas as well as for fracture monitoring during well stimulation. Because of its high frequency acquisition rate and dense spatial sampling, distributed acoustic sensing (DAS) has seen increasing application in microseimic monitoring. Given large volumes of data to be analyzed in real-time and impractical memory and storage requirements, fast compression and accurate interpretation methods are necessary for real-time monitoring campaigns using DAS. In response to the developments in data acquisition, we have created shifted-matrix decomposition (SMD) to compress seismic data by storing it into pairs of singular vectors coupled with shift vectors. This is achieved by shifting the columns of a matrix of seismic data before applying singular value decomposition (SVD) to it to extract a pair of singular vectors. The purpose of SMD is data denoising as well as compression, as reconstructing seismic data from its compressed form creates a denoised version of the original data. By analyzing the data in its compressed form, we can also run signal detection and velocity estimation analysis. Therefore, the developed algorithm can simultaneously compress and denoise seismic data while also analyzing compressed data to estimate signal presence and wave velocities. To show its efficiency, we compare SMD to local SVD and structure-oriented SVD, which are similar SVD-based methods used only for denoising seismic data. While the development of SMD is motivated by the increasing use of DAS, SMD can be applied to any seismic data obtained from a large number of receivers. For example, here we present initial applications of SMD to readily available marine seismic data.


Author(s):  
Mohadese Jahanian ◽  
Amin Ramezani ◽  
Ali Moarefianpour ◽  
Mahdi Aliari Shouredeli

One of the most significant systems that can be expressed by partial differential equations (PDEs) is the transmission pipeline system. To avoid the accidents that originated from oil and gas pipeline leakage, the exact location and quantity of leakage are required to be recognized. The designed goal is a leakage diagnosis based on the system model and the use of real data provided by transmission line systems. Nonlinear equations of the system have been extracted employing continuity and momentum equations. In this paper, the extended Kalman filter (EKF) is used to detect and locate the leakage and to attenuate the negative effects of measurement and process noises. Besides, a robust extended Kalman filter (REKF) is applied to compensate for the effect of parameter uncertainty. The quantity and the location of the occurred leakage are estimated along the pipeline. Simulation results show that REKF has better estimations of the leak and its location as compared with that of EKF. This filter is robust against process noise, measurement noise, parameter uncertainties, and guarantees a higher limit for the covariance of state estimation error as well. It is remarkable that simulation results are evaluated by OLGA software.


Sign in / Sign up

Export Citation Format

Share Document