Signal enhancement in seismic data and in the migration process: appliation to 2D seismic exploration data

2020 ◽  
Author(s):  
Maxim I. Protasov ◽  
◽  
Dmitry A. Neklyudov ◽  
Alexandr A. Meretskiy ◽  
◽  
...  
Keyword(s):  
Seismic Data ◽  
Object Oriented ◽  
Seismic Signal ◽  
Signal Enhancement ◽  
Seismic Exploration ◽  
Gaussian Beams ◽  
Reflected Waves ◽  
The North ◽  
First Case ◽  
Useful Signal

The paper presents the results of testing two procedures: signal enhancement by local coherent summation of the seismic data and object–oriented migration along Gaussian beams. Both of these procedures provide extraction and accumulation of a useful seismic signal (primarily reflected waves). In the first case, this process is implemented directly on the seismic data, while in the migration procedure the useful signal is accumulated due to the properties of Gaussian beams. The procedures tested on the 2D real seismic data obtained in the north of the Krasnoyarsk Territory.

scholarly journals USE OF QUANTITATIVE DATA OF 3D SEISMIC EXPLORATION FOR DETECTION OF TRAPS OF HYDROCARBONS WITH IN THE NORTH SIDE OF THE DNIEPER-DONETSK DEPRESSION

2020 ◽  
pp. 35-41
Author(s):  
S. Vyzhva ◽  
I. Solovyov ◽  
I. Mihalevich ◽  
V. Kruhlyk ◽  
G. Lisny
Keyword(s):  
Acoustic Impedance ◽  
Seismic Signal ◽  
Seismic Attributes ◽  
Limited Range ◽  
Seismic Exploration ◽  
High Porosity ◽  
Seismic Attribute ◽  
The North ◽  
Hydrocarbon Traps ◽  
Northern Side

Based on the results of numerous seismic surveys conducted on the areas and deposits of the northern side of the Dnieper-Donetsk depression, an appropriate strategy for detecting hydrocarbon traps in this region has been determined. This takes into account modern requirements for exploration and prospecting of gas and oil deposits. They consist in determining the probable zones of accumulation of hydrocarbons based on the analysis of the structural-tectonic model. At the same time, the use of direct hydrocarbon indicators to predict structural, lithological or combined traps is also a necessary element in solving this problem. It has been shown that an effective approach to detecting hydrocarbon traps in this region is attribute analysis using seismic attributes such as seismic signal envelope, acoustic impedance or relative acoustic impedance. In most practically important cases, the analysis of the distribution of values of these attributes was sufficient to solve geological problems. At the same time, an example of extracting additional useful information on the spatial distribution of hydrocarbon traps from volumetric seismic images obtained from seismograms of common sources with a limited range of seismic angle inclinations is given. To analyze the distributions of seismic attribute values it is recommended to use geobody technology as the most effective one when using volumetric seismic data. Depending on the combination of seismic attributes involved in the analysis, the distributions of different properties of rocks are determined, in particular the zone of increased porosity or the presence of hydrocarbons. Analysis with the simultaneous use of several seismic attributes allows to directly identify hydrocarbon-rich geological bodies with high porosity and the like. The paper presents examples of detection of hydrocarbon traps in the areas and deposits of the northern side of the Dnieper-Donetsk depression, which are confirmed by drilled wells. An example of providing recommendations for wells drilling using the distributions of values of different seismic attributes is given. Generalizations are made on the distribution of promising areas for the presence of hydrocarbons on the northern side of the Dnieper-Donetsk depression and the ratio of this distribution with the identified structural elements of the geological environment.

Simulation Research on Synthesis Algorithm of Directional Illumination Data

2011 ◽  
Vol 403-408 ◽  
pp. 2337-2340
Author(s):  
Shu Cong Liu ◽  
Yan Xing Song ◽  
Jing Song Yang
Keyword(s):  
Seismic Data ◽  
Seismic Waves ◽  
Seismic Analysis ◽  
Signal To Noise Ratio ◽  
A Priori ◽  
Effective Means ◽  
Seismic Signal ◽  
Geological Structure ◽  
Seismic Exploration ◽  
The Impact

Seismic illumination analysis was an effective means of recognizing and studying the energy distributions in the underground geological structure in seismic data acquisition. Effective seismic illumination analysis to a priori targeted-geological model to identify the energy distribution of seismic waves, can apply to seismic analysis and amplitude compensation analysis. To increase the signal to noise ratio and resolution of seismic data when vibrator seismic exploration, it was necessary to strengthen the energy of a certain direction to get the High-Precision imaging and the best illumination of the target areas.Simulation research were done on single source directional illumination seismic technology, with seismic illumination analysis, and the impact of source number, spacing change on directional illumination seismic technology were also analyzed. Simulation results showed that the directional seismic technology could improved SNR of seismic data, and could be used for seismic signal processing.

scholarly journals SeisDeNet: An Intelligent Seismic Data Denoising Network for the Internet of Things

2021 ◽  
Author(s):  
Yu Sang ◽  
Yanfei Peng ◽  
Mingde Lu ◽  
Liquan Li
Keyword(s):  
Internet Of Things ◽  
Seismic Data ◽  
Leading Edge ◽  
Seismic Signal ◽  
Seismic Exploration ◽  
Real Field ◽  
Signal Acquisition ◽  
Multi Scale ◽  
Seismic Records ◽  
The Internet Of Things

Abstract Deep learning (DL) has attracted tremendous interest in various fields in last few years. Convolutional neural networks (CNNs) based DL architectures have been successfully applied in computer vision, medical image processing, remote sensing, and many other fields. A recent work has proved that CNNs based models can also be used to handle geophysical problems. Due to noises in seismic signals acquired by geophone equipment this kind of important multimedia resources cannot be effectively utilized in practice. To this end, from the perspective of seismic exploration informatization, this paper takes informatization data in seismic signal acquisition and energy exploration field using cutting-edge technologies such as Internet of things and cloud computing as the research object, presenting a novel CNNs based seismic data denoising (SeisDeNet) architecture is suggested. Firstly, a multi-scale residual dense (MSRD) block is built to leverage the characteristics of seismic data. Then, a deep MSRD network (MSRDN) is proposed to restore the noisy seismic data in a coarse-to-fine manner by using cascading MSRDs. Additionally, the denoising problem is formulated into predicting transform-domain coefficients, by which noises can be further removed by MSRDNs while richer structure details are preserved comparing with the results in spatial domain. By using synthetic seismic records, public SEG and EAGE salt and overthrust seismic model and real field seismic data, the proposed method is qualitatively and quantitatively compared with other leading edge schemes to evaluate it performance, and some results shows that the proposed scheme can produce data with higher quality evaluation while maintaining far more useful data comparing with other schemes. The feasibility of this approach is confirmed by the denoising results, and this approach is shown to be promising in suppressing the seismic noise automatically.

Estimation of seabottom reflection characteristics and source signature from seabed reflected waves

Geophysics ◽  
1985 ◽  
Vol 50 (7) ◽  
pp. 1049-1060 ◽  
Author(s):  
K. A. Berteussen ◽  
O. J. Alstad
Keyword(s):  
Relative Size ◽  
Seismic Exploration ◽  
Reflection Coefficients ◽  
Independent Reflection ◽  
Reflected Waves ◽  
The North ◽  
The North Sea ◽  
Extended Sources ◽  
Marine Seismic ◽  
Reflection Characteristics

We describe a procedure for modeling the primary and multiple reflected seabed pulses as a function of distance. The assumption is made that the registered pulse can be constructed as a sum of elementary pulses, that is, the time and relative size of the arrivals are calculated for each source‐receiver position. This is done using both angle‐dependent and angle‐independent reflection coefficients at the seabottom. For each receiver channel on the cable, the predicted seismogram is calculated as the sum of the registrations in each hydrophone included in that channel. It is demonstrated first how the shape of the seabottom reflections changes with the sea depth and source‐receiver distance because of geometry effects, and because of the extended sources and receivers applied in marine seismic exploration. Next, We show that angle‐dependent reflection coefficients do introduce additional and sometimes quite drastic variations in the shape of the different pulses. Finally, we demonstrate that the predicted pulses can be matched quite well to observed data from the North Sea. This gives a possibility to estimate the geophysical characteristics of the seabed.

Mathematical morphological filtering for linear noise attenuation of seismic data

Geophysics ◽  
2017 ◽  
Vol 82 (6) ◽  
pp. V369-V384 ◽  
Author(s):  
Weilin Huang ◽  
Runqiu Wang ◽  
Dong Zhang ◽  
Yanxin Zhou ◽  
Wencheng Yang ◽  
...  
Keyword(s):  
Coordinate System ◽  
Seismic Data ◽  
Seismic Waves ◽  
Seismic Exploration ◽  
Noise Attenuation ◽  
Coherent Noise ◽  
Traditional Methods ◽  
Median Filters ◽  
Useful Signal ◽  
Morphological Filtering

Linear coherent noise attenuation is a troublesome problem in a variety of seismic exploration areas. Traditional methods often use the differences in frequency, wavenumber, or amplitude to separate the useful signal and coherent noise. However, the application of traditional methods is limited or even invalid when the aforementioned differences between useful signal and coherent noise are too small to be distinguished. For this reason, we have managed to develop a new algorithm from the differences in the shape of seismic waves, and thus, introduce mathematical morphological filtering (MMF) into coherent noise attenuation. The morphological operation is calculated in the trace direction of a rotating coordinate system. This rotating coordinate system is along the direction of the trajectory of coherent noise to make the energy of the coherent noise distributed along the horizontal direction. The MMF approach is more effective than mean and median filters in rejecting abnormal values and causes fewer artifacts compared with [Formula: see text]-[Formula: see text] filtering. Our technique requires that coherent noise can be picked successfully. Application of our technique on synthetic and field seismic data demonstrates its successful performance.

Time‐frequency coherency analysis of three‐component crosshole seismic data for arrival detection

Geophysics ◽  
1998 ◽  
Vol 63 (6) ◽  
pp. 1847-1857 ◽  
Author(s):  
Andrzej Leśniak ◽  
Hiroaki Niitsuma
Keyword(s):  
Seismic Data ◽  
Reliable Method ◽  
Wide Band ◽  
Seismic Signal ◽  
Processing Method ◽  
Good Resolution ◽  
Reflected Waves ◽  
S Waves ◽  
Time Frequency ◽  
Method Of Evaluation

A processing method for three‐component wide‐band crosshole seismic data is presented. It is based on the observed phenomena of a decrease in the coherency between the coda waves recorded by closely spaced sensors or excited by closely spaced seismic sources. We transfer signals to the time‐frequency domain and compute the instantaneous coherency at each moment of time between signals propagated on adjacent raypaths. As a result, we obtain the distribution of the high‐coherency time‐frequency areas connected with coherent components of the signal. We can then see different modes of the recorded seismic signal and identify them as direct P-and S-waves, reflected waves, and converted tube waves. A reliable method of evaluation of the onset’s time for different modes of the seismic signal is also proposed. The technique has good resolution and allows separation of even very closely spaced wavefield components.

First Case Study for Litho-Petro-Elastic AVA Pre-Stack Inversion for Complex Tight Reservoirs Miocene – Upper Cretaceous in East Onshore Abu Dhabi

2021 ◽  
Author(s):  
Khalid Obaid ◽  
Abdelwahab Noufal ◽  
Abdulrahman Almessabi ◽  
Atef Abdelaal ◽  
Karim Elsadany ◽  
...  
Keyword(s):  
Seismic Data ◽  
Upper Cretaceous ◽  
Reservoir Characterization ◽  
Rock Physics ◽  
Seismic Interpretation ◽  
Abu Dhabi ◽  
Seismic Exploration ◽  
Frequency Model ◽  
Structural Framework ◽  
First Case

Abstract This study summarizes the efforts taken to provide reliable reservoir characterizations products to mitigate seismic interpretation challenges and delineation of the reservoirs. ADNOC has conducted seismic exploration activities to assess Miocene to Upper Cretaceous aged reservoirs in East Onshore Abu Dhabi. The Oligo-Miocene section comprises of interbedded salt (mainly halite), anhydrite, limestones and marls. Deposited in the foreland basin related to the Oman thrust-belt. Ranging in thickness from nearly 1.5 km in the depocenter to almost nil on the forebulge located to the west of the studied area. The well data based geological model suggests that initially porous rocks (presumably grain-supported carbonates) encompassed polyphase sulfate cementation during recurrent subaerial exposure in which pores and grains were recrystallized sometimes completely too massive, tight anhydrite beds. This heterogeneity of the complex shallow section showing high variation of velocity impact seismic imaging, and interpretation to model the stratigraphic/structural framework and link it with reservoir characterization. Hence, ADNOC decided to conduct a trial on state-of-art technique Litho-Petro-Elastic (LPE) AVA Inversion to mitigate the seismic interpretation challenges and delineate the reservoirs. The LPE AVA inversion provides a single-loop approach to reservoir characterization based on rock physics models and compaction trends, reducing the dependency on a detailed prior the low frequency model, Where the rock modelling and lithology classification are not separate steps but interact directly with the seismic AVO inversion for optimal estimates of lithologies and elastic properties. The LPE inversion scope requires seismic data conditioning such as CMP gathers de-noising, de-multiple, flattening and amplitude preservation, in addition to detailed log conditioning, petro-elastic and rock physics analysis to maximize the quality and value of the results. The study proved that the LPE AVA Inversion can be used to guide seismic interpreters in mapping the structural framework in challenging seismic data, as it managed to improve the prospect evaluation.

Scales and Units

2018 ◽  
Author(s):  
Kathryn M. de Luna
Keyword(s):  
Language Change ◽  
Historical Linguistics ◽  
Bantu Languages ◽  
The North ◽  
First Case ◽  
Linguistic Evidence ◽  
River Region ◽  
History Of ◽  
Alternative Approaches

This chapter uses two case studies to explore how historians study language movement and change through comparative historical linguistics. The first case study stands as a short chapter in the larger history of the expansion of Bantu languages across eastern, central, and southern Africa. It focuses on the expansion of proto-Kafue, ca. 950–1250, from a linguistic homeland in the middle Kafue River region to lands beyond the Lukanga swamps to the north and the Zambezi River to the south. This expansion was made possible by a dramatic reconfiguration of ties of kinship. The second case study explores linguistic evidence for ridicule along the Lozi-Botatwe frontier in the mid- to late 19th century. Significantly, the units and scales of language movement and change in precolonial periods rendered visible through comparative historical linguistics bring to our attention alternative approaches to language change and movement in contemporary Africa.

Stochastic inversion of pressure and saturation changes from time-lapse AVO data

Geophysics ◽  
2006 ◽  
Vol 71 (5) ◽  
pp. C81-C92 ◽  
Author(s):  
Helene Hafslund Veire ◽  
Hilde Grude Borgos ◽  
Martin Landrø
Keyword(s):  
Stochastic Model ◽  
Seismic Data ◽  
Synthetic Data ◽  
Time Lapse ◽  
Bayesian Framework ◽  
Reservoir Modeling ◽  
Data Set ◽  
The North ◽  
Fluid Saturation ◽  
Likelihood Model

Effects of pressure and fluid saturation can have the same degree of impact on seismic amplitudes and differential traveltimes in the reservoir interval; thus, they are often inseparable by analysis of a single stacked seismic data set. In such cases, time-lapse AVO analysis offers an opportunity to discriminate between the two effects. We quantify the uncertainty in estimations to utilize information about pressure- and saturation-related changes in reservoir modeling and simulation. One way of analyzing uncertainties is to formulate the problem in a Bayesian framework. Here, the solution of the problem will be represented by a probability density function (PDF), providing estimations of uncertainties as well as direct estimations of the properties. A stochastic model for estimation of pressure and saturation changes from time-lapse seismic AVO data is investigated within a Bayesian framework. Well-known rock physical relationships are used to set up a prior stochastic model. PP reflection coefficient differences are used to establish a likelihood model for linking reservoir variables and time-lapse seismic data. The methodology incorporates correlation between different variables of the model as well as spatial dependencies for each of the variables. In addition, information about possible bottlenecks causing large uncertainties in the estimations can be identified through sensitivity analysis of the system. The method has been tested on 1D synthetic data and on field time-lapse seismic AVO data from the Gullfaks Field in the North Sea.

Seismic signal enhancement through statistical (Wiener) approach

2009 ◽  
Author(s):  
R.T.B. Naik ◽  
D. Srinagesh ◽  
R.V. Raghavan ◽  
H.V.S. Satyanarayana ◽  
D. Shashidhar
Keyword(s):  
Seismic Signal ◽  
Signal Enhancement
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