Reducing risk and improving production in unconventional plays

2013 ◽  
Vol 1 (2) ◽  
pp. SB3-SB14 ◽  
Author(s):  
Tony Rebec ◽  
Marino Pareja ◽  
Zhiyong Zhao
Keyword(s):  
Seismic Data ◽  
Seismic Processing ◽  
Business Values ◽  
Improve Production ◽  
Reduce Risk ◽  
The Right

Using seismic data to reduce risk and improve production in unconventional plays requires careful preplanning based on the nature of the play, plus acquiring the right seismic, processing the seismic correctly, extracting the optimum information, and then transforming the information into business values. We discuss these criteria and focus on extracting the optimum information.

APPLICATION OF THE EMPIRICAL MODE DECOMPOSITION METHOD TO GROUND-ROLL NOISE ATTENUATION IN SEISMIC DATA

2013 ◽  
Vol 31 (4) ◽  
pp. 619 ◽  
Author(s):  
Luiz Eduardo Soares Ferreira ◽  
Milton José Porsani ◽  
Michelângelo G. Da Silva ◽  
Giovani Lopes Vasconcelos
Keyword(s):  
Empirical Mode Decomposition ◽  
Seismic Data ◽  
Low Frequency ◽  
High Amplitude ◽  
Seismic Line ◽  
Seismic Processing ◽  
Mode Decomposition ◽  
Ground Roll ◽  
Fortran 90 ◽  
Emd Method

ABSTRACT. Seismic processing aims to provide an adequate image of the subsurface geology. During seismic processing, the filtering of signals considered noise is of utmost importance. Among these signals is the surface rolling noise, better known as ground-roll. Ground-roll occurs mainly in land seismic data, masking reflections, and this roll has the following main features: high amplitude, low frequency and low speed. The attenuation of this noise is generally performed through so-called conventional methods using 1-D or 2-D frequency filters in the fk domain. This study uses the empirical mode decomposition (EMD) method for ground-roll attenuation. The EMD method was implemented in the programming language FORTRAN 90 and applied in the time and frequency domains. The application of this method to the processing of land seismic line 204-RL-247 in Tacutu Basin resulted in stacked seismic sections that were of similar or sometimes better quality compared with those obtained using the fk and high-pass filtering methods.Keywords: seismic processing, empirical mode decomposition, seismic data filtering, ground-roll. RESUMO. O processamento sísmico tem como principal objetivo fornecer uma imagem adequada da geologia da subsuperfície. Nas etapas do processamento sísmico a filtragem de sinais considerados como ruídos é de fundamental importância. Dentre esses ruídos encontramos o ruído de rolamento superficial, mais conhecido como ground-roll . O ground-roll ocorre principalmente em dados sísmicos terrestres, mascarando as reflexões e possui como principais características: alta amplitude, baixa frequência e baixa velocidade. A atenuação desse ruído é geralmente realizada através de métodos de filtragem ditos convencionais, que utilizam filtros de frequência 1D ou filtro 2D no domínio fk. Este trabalho utiliza o método de Decomposição em Modos Empíricos (DME) para a atenuação do ground-roll. O método DME foi implementado em linguagem de programação FORTRAN 90, e foi aplicado no domínio do tempo e da frequência. Sua aplicação no processamento da linha sísmica terrestre 204-RL-247 da Bacia do Tacutu gerou como resultados, seções sísmicas empilhadas de qualidade semelhante e por vezes melhor, quando comparadas as obtidas com os métodos de filtragem fk e passa-alta.Palavras-chave: processamento sísmico, decomposição em modos empíricos, filtragem dados sísmicos, atenuação do ground-roll.

High-resolution seismic processing technique with broadband,wide-azimuth, and high-density seismic data - A case study of thin-sand reservoir in eastern China

2021 ◽  
pp. 1-45
Author(s):  
Qin Su ◽  
Huahui Zeng ◽  
Yancan Tian ◽  
HaiLiang Li ◽  
Lei Lyu ◽  
...  
Keyword(s):  
Seismic Data ◽  
Oil And Gas ◽  
Single Point ◽  
Eastern China ◽  
High Density ◽  
Songliao Basin ◽  
Seismic Processing ◽  
Oil And Gas Exploration ◽  
Sand Body

Seismic processing and interpretation techniques provide important tools for the oil and gas exploration of the Songliao Basin in eastern China, which is dominated by terrestrial facies. In the Songliao Basin, a large number of thin-sand reservoirs are widely distributed, which are the primary targets of potential oil and gas exploration and exploitation. An important job of the exploration in the Songliao Basin is to accurately describe the distribution of these thin-sand belts and the sand-body shapes. However, the thickness of these thin-sand reservoirs are generally below the resolution of the conventional seismic processing. Most of the reservoirs are thin-interbeds of sand and mudstones with strong vertical and lateral variations. This makes it difficult to accurately predict the vertical and horizontal distribution of the thin-sand bodies using the conventional seismic processing and interpretation methods. Additionally, these lithologic traps are difficult to identify due to the complex controlling factor and distribution characteristics, and strong concealment. These challenges motivate us to improve the seismic data quality to help delineate the thin-sand reservoirs. In this paper, we use the broadband, wide-azimuth, and high-density integrated seismic exploration technique to help delineate the thin-reservoirs. We first use field single-point excitation and single-point receiver acquisition to obtain seismic data with wide frequency-bands, wide-azimuth angles, and high folds, which contain rich geological information. Next, we perform the near-surface Q-compensation, viscoelastic prestack time migration, seismic attributes, and seismic waveform indication inversion on the new acquired seismic data. The 3D case study indicates the benefits of improving the imaging of thin-sand body and the accuracy of inversion and reservoir characterization using the method in this paper.

Seismic processing by integrated analysis of borehole and surface seismic data

1990 ◽  
Author(s):  
M. H. Inoubli ◽  
Vincent Richard ◽  
Patrice Ricart
Keyword(s):  
Seismic Data ◽  
Integrated Analysis ◽  
Seismic Processing

Seismic signal processing—A new millennium perspective

Geophysics ◽  
2001 ◽  
Vol 66 (1) ◽  
pp. 18-20 ◽  
Author(s):  
Peter Cary
Keyword(s):  
Seismic Data ◽  
Seismic Signal ◽  
First Century ◽  
Vast Number ◽  
Seismic Processing ◽  
Almost Everywhere ◽  
The People ◽  
Conference Presentations ◽  
And Migration ◽  
Seismic Signal Processing

In the introduction to his comprehensive SEG textbook, Seismic Data Processing, Oz Yilmaz selects deconvolution, common‐midpoint stacking and migration as being the three principal processes that are applied during routine seismic processing. Since Yilmaz’s tome was first published in 1987, a vast number of papers have been published and conference presentations have been given on virtually every aspect of seismic processing. However, I think it is still accurate to say that the same three processes dominate the processing flow of the vast majority of seismic data that is processed now, at the beginning of the twenty‐first century. This is not to say that important progress has not been made in many aspects of seismic processing and that much more sophisticated processing flows are now applied to some datasets. But it is a great tribute to the real pioneers of our profession—the people who advanced our ideas of seismic processing from examining raw analog records in the field to creating crisp computer‐generated images of the subsurface with processes such as deconvolution, stack and migration—that the very same, or similar, algorithms that they invented still form the backbone of everyday processing that is done around the world today. In fact, there are times when it seems that the last great geophysicist was Carl Friedrich Gauss, because the method that he published back in 1823 of minimizing the sum of the squared errors seems to be used almost everywhere one looks in seismic processing, from deconvolution to migration.

scholarly journals Model of predicting insider threat in the organization

2021 ◽  
Vol 45 (1) ◽  
Author(s):  
S. S. Zaikin ◽  
◽  
O. V. Kitura
Keyword(s):  
Insider Threat ◽  
Network Environment ◽  
Insider Threats ◽  
Security Problem ◽  
Reduce Risk ◽  
The Right ◽  
Gain Access

The article considers the concepts of "insider threat" and "insider". General methods of using insider threats by cybercriminals to compromise the network environment of the organization to gain access to valuable assets are identified. The types of insider threats and their criticality for organizations to deal with these threats to reduce risk are studied. It is concluded that no approach can solve the security problem. In order to mitigate the insider threat, further research is needed on cybersecurity insider threats, and the right approach to combating a malicious insider threat from different perspectives should be identified. It is noted that organizations can implement some basic measures that can reduce the number of cases of insider threats to a minimum.

scholarly journals Reassessing legacy seismic reflection data. Extracting new information through advanced seismic processing schemes.

2021 ◽  
Author(s):  
Ramon Carbonell ◽  
Yesenia Martinez ◽  
Irene de Felipe ◽  
Juan Alcalde ◽  
Imma Palomeras ◽  
...  
Keyword(s):  
Land Use Planning ◽  
Seismic Data ◽  
Seismic Reflection ◽  
Leading Edge ◽  
Critical Issue ◽  
Commercial Development ◽  
Natural Risk ◽  
Seismic Reflection Data ◽  
Seismic Processing ◽  
Reflection Data

<p><span>Hardware and software innovations taking place since the commercial development of seismic reflection imaging in the 60’s and early 70’s have resulted in various improved powerful seismic imaging solutions. Overall, these have been very successful in contrasting geological environments pursuing a wide variety of different targets. The innovative advances in seismic processing may constitute critical tools when analyzing seismic data acquired in highly heterogeneous geologic environments as they can efficiently increase the resolution power. In addition, they can become relevant when using modern acquisition instrumentation and strategies. Furthermore, these new developments significantly increase the value of legacy seismic reflection data. Currently, reassessing controlled source seismic data is becoming a critical issue mostly due to the increasing difficulties for acquiring new profiles posed by environmental regulations and high prices. However, the knowledge of the subsurface is an asset for our society, for example: </span><span><span>land-use planning and management; natural risk assessments; or exploration and exploitation for geo-resources. Here we present examples of analysis schemes such as seismic attribute analysis and Common Reflection Surface stacking applied on a number of old seismic reflection profiles (Deep lithospheric transects as well as high resolution profiles) in an effort to bring up their validity. Results indicate how these leading edge methods contribute to significantly improve the quality of vintage seismic data, significantly reducing reflector uncertainties and easing their interpretation. </span></span></p><p><span><span>This research is supported by: Generalitat de Catalunya (AGAUR) grant 2017SGR1022 (GREG); EU (H2020) 871121 (EPOS-SP); EIT-RaewMaterias 17024 (SIT4ME). </span></span></p><p> </p>

Cancer Survivorship

2018 ◽  
Author(s):  
Julia H. Rowland
Keyword(s):  
Case Studies ◽  
Cancer Survivorship ◽  
Cancer Rehabilitation ◽  
Prime Time ◽  
Implementation Gap ◽  
Reduce Risk ◽  
The Right

The three case studies included in this chapter illustrate well the unique barriers to bridging the implementation gap in cancer survivorship science and also potential solutions to address these barriers. The studies also reflect the spectrum of implementation readiness seen in today’s interventions, from being “ready for prime time” to establishing metrics for success and identifying the right intervention for a known problem. An overarching theme across all three survivorship science case studies is the focus on cancer rehabilitation. Cancer has the potential to adversely affect all aspects of an individual’s life, from physical to financial. Finding and delivering interventions to reduce risk before treatment starts and planning for recovery when treatment ends are needed to reduce the burden of cancer on individuals, families, and society.

scholarly journals Seismic processing in the inverse data space

Geophysics ◽  
2006 ◽  
Vol 71 (4) ◽  
pp. A29-A33 ◽  
Author(s):  
A. J. Berkhout
Keyword(s):  
Seismic Data ◽  
Dominant Role ◽  
Temporal Frequency ◽  
Data Matrix ◽  
Seismic Survey ◽  
Seismic Processing ◽  
Data Space ◽  
Matrix Formula ◽  
Multiple Elimination ◽  
Zero Time

Until now, seismic processing has been carried out by applying inverse filters in the forward data space. Because the acquired data of a seismic survey is always discrete, seismic measurements in the forward data space can be arranged conveniently in a data matrix [Formula: see text]. Each column in the data matrix represents one shot record. If we represent seismic data in the temporal frequency domain, then each matrix element consists of a complex-valued number. Considering the dominant role of multiple scattering in seismic data, it is proposed to replace data matrix [Formula: see text] by its inverse [Formula: see text] before starting seismic processing. Making use of the feedback model for seismic data, multiple scattered energy is mapped onto the zero time axis of the inverse data space. The practical consequence of this remarkable property may be significant: multiple elimination in the inverse data space simplifies to removing data at zero time only. Moving to the inverse data space may cause a fundamental change in the way we preprocess and image seismic data.

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