To: “Prestack amplitude analysis methodology and application to seismic bright spots in the Po Valley, Italy” by Alfredo Mazzotti (GEOPHYSICS, 55, 157–166, February 1990)

Geophysics ◽  
1990 ◽  
Vol 55 (9) ◽  
pp. 1296-1296
Keyword(s):  
Amplitude Analysis ◽  
Po Valley ◽  
Analysis Methodology ◽  
Bright Spots

In this paper, Figures 1a and 1b are incomplete. The correct figures are shown below.

Prestack amplitude analysis methodology and application to seismic bright spots in the Po Valley, Italy

Geophysics ◽  
1990 ◽  
Vol 55 (2) ◽  
pp. 157-166 ◽  
Author(s):  
Alfredo Mazzotti
Keyword(s):  
Amplitude Analysis ◽  
Borehole Data ◽  
Seismic Section ◽  
Po Valley ◽  
Gravel Layer ◽  
Amplitude Versus Offset ◽  
Bright Spots ◽  
Head Waves ◽  
Amplitude Anomaly ◽  
Zero Offset

The amplitude‐versus‐offset (AVO) characteristics of three separate bright spots on the same seismic section are analyzed. One of the bright spots results from a water‐bearing gravel layer, and the others correspond to gas‐saturated sandy beds. The amplitude analysis includes reflections from the entire range of incidence angles available from the survey; for the shallower amplitude anomaly, these angles reached values up to 66°. Extension of the analysis to longer offsets is aimed at detecting possible critical‐angle phenomena in order to reduce the uncertainty when the zero‐offset reflection’s polarity is unknown. The reflection from the gravel layer has this property. Its amplitude exhibits an initial decrease followed by a sudden rise in the AVO trend due to critical reflection and head waves. The gas‐related anomalies have a much different AVO characteristic, one in which the amplitude increases with offset distance. Two seismic events located above the bright spots were also investigated to further verify the validity of the seismic amplitude processing. The AVO trends of the three bright spots and of the two reference levels were compared with analogous trends of synthetic seismograms that were computed from models derived from borehole data.

Exploration application of seismic amplitude analysis in the Krishna-Godavari Basin, east coast of India

2014 ◽  
Vol 2 (4) ◽  
pp. SP5-SP20 ◽  
Author(s):  
Ram Janma Singh
Keyword(s):  
Amplitude Analysis ◽  
Seismic Amplitude ◽  
High Impedance ◽  
Data Phase ◽  
Amplitude Versus Offset ◽  
Bright Spots ◽  
Strong Amplitude ◽  
Very High ◽  
Amplitude Versus ◽  
Godavari Basin

Seismic amplitude anomalies are attractive exploration targets in the Krishna-Godavari Basin offshore India. These bright spots mostly have very high amplitudes, so confident interpretations have been possible. We distinguished between hydrocarbon-bearing sands, water-bearing sands, and high-impedance nonreservoir bodies. Also, we mapped channel architecture and accurately predicted reservoir thickness. Strong amplitude anomalies, prospective seismic character based on an understanding of data phase and polarity, flat spots, and amplitude versus offset have all provided valuable evidence.

Layers and bright spots

Geophysics ◽  
1986 ◽  
Vol 51 (3) ◽  
pp. 699-709 ◽  
Author(s):  
H. Almoghrabi ◽  
J. Lange
Keyword(s):  
A Priori ◽  
Plane Layer ◽  
Pore Fluid ◽  
Bright Spot ◽  
Amplitude Analysis ◽  
Converted Wave ◽  
Incident Wavelength ◽  
Field Development ◽  
Bright Spots ◽  
Spot Data

Seismic amplitudes are affected by both geometric and lithologic features of reflecting layers. Observation of “bright spots” is a function of not only pore fluid saturations, but also of layer thickness and surrounding rock type. The numerical model developed uses a finite sum of reflected and mode‐converted waves to evaluate the application of wave analysis in determining pore fluid types. Amplitude analysis alone is not sufficient to define realistically pore fluid type, but when amplitude analysis is combined with phase and mode‐converted shear‐wave behavior, it is possible to differentiate between pore fluid types. Various configurations which lead to bright spots, including coal and limestone layers, are evaluated. An algorithm is developed, based on the numerical examples, which can differentiate gas zones from other bright spot data. Thickness of the plane layer is an important factor in defining the overall reflectivity due to interference of the reflected wave components. Gas saturation of a layer is not a sufficient condition for a bright spot, but can lead to “dull spots” for layers in the right thickness range (relative to the incident wavelength). The lithology of the boundary material determines the extremes in amplitude variation which result when thickness or wavelength is varied. If a priori knowledge of the lithology or thickness of the structure is available, the amplitude‐phase‐converted wave algorithm can be applied to other than bright spot data to characterize the structure. This indicates there are important applications of the amplitude‐phase‐converted wave algorithm to field development and to bright spot analysis for exploration.

Analysis of Dark-Field Images of Disordered Materials

1972 ◽  
Vol 30 ◽  
pp. 560-561
Author(s):  
J. M. Cowley
Keyword(s):  
Amorphous Materials ◽  
Careful Analysis ◽  
Dark Field ◽  
Minimum Diameter ◽  
Statistical Fluctuations ◽  
Bright Spots ◽  
Sufficient Detail ◽  
Random Arrangement ◽  
Diffraction Patterns ◽  
Imaging Conditions

Recently a number of authors have reported detail in dark-field images obtained from diffuse-scattering regions of electron diffraction patterns. Bright spots in images from short-range order diffuse peaks of disordered binary alloys have been interpreted as evidence for the existence of microdomains of ordered lattice or of segragated clusters of one component. Spotty contrast in dark field images of near-amorphous materials has been interpreted as evidence for the existense of microcrystals. Without a careful analysis of the imaging conditions such conclusions may be invalid. Usually the conditions of the experiment have not been specified in sufficient detail to allow evaluation of the conclusions.Elementary considerations show that even for a completely random arrangement of atoms the statistical fluctuations of density will give a spotty contrast with spots of minimum diameter determined by the dark field aperture size and other factors influencing the minimum resolvable distance under darkfield imaging conditions, including fluctuations and drift over long exposure times (resolution usually 10Å or more).

Housing Inflation: Policy Guidelines from Shariah Perspective

2019 ◽  
Vol 16 (1) ◽  
pp. 70-81
Author(s):  
Azrul Azlan Iskandar Mirza ◽  
Asmaddy Haris ◽  
Ainulashikin Marzuki ◽  
Ummi Salwa Ahmad Bustamam ◽  
Hamdi Hakiem Mudasir ◽  
...  
Keyword(s):  
Content Analysis ◽  
Housing Prices ◽  
Construction Materials ◽  
Housing Price ◽  
Developed Countries ◽  
Control Element ◽  
Recent Issue ◽  
Analysis Methodology ◽  
The Government ◽  
Developing And Developed Countries

The soaring housing prices in Malaysia is not a recent issue. It is a global phenomenon especially in developing and developed countries, driven by factors including land price, location, construction materials cost, demand, and speculation. This issue demands immediate attention as it affects the younger generation, most of whom could not afford to buy their own house. The government has taken many initiatives and introduced regulations to ensure that housing prices are within the affordable range. This article aims to introduce a housing price control element from the Shariah perspective, as an alternative solution for all parties involved in this issue. It adopts content analysis methodology on policy from Shariah approved sources.

Benefit Clubs as a Tool for Loyalty Marketing. Study of Brazil’s Main Insurance Companies

2019 ◽  
Vol 10 (3) ◽  
pp. 216-226
Author(s):  
Guaracy Carlos Da Silveira ◽  
◽  
Fernando Augusto Carvalho Dineli Da Costa ◽  
Keyword(s):  
Content Analysis ◽  
Best Practices ◽  
Relationship Marketing ◽  
Insurance Companies ◽  
Brand Value ◽  
Analysis Methodology ◽  
Loyalty Marketing

: This paper considers Relationship Marketing as a business strategic tool and seeks to verify the existence of Benefit Clubs and their structure offered by the major insurance companies in Brazil, analyzing the presence and formatting of the programs. Through the content analysis methodology, we seek to infer its uses for the strengthening of the positioning of these companies. At the end of the paper we compare the best practices identified. The result of the analysis considers the differential obtained by the employment of programs that seek to create brand value and loyalty.

A Competency Analysis Methodology for Improving the Productivity of IT Human Resources

2008 ◽  
Vol 22 (1) ◽  
pp. 69-91 ◽  
Author(s):  
Woojong Suh ◽  
Daeseok Kang ◽  
강용원 ◽  
Jinwon Hong
Keyword(s):  
Human Resources ◽  
Analysis Methodology ◽  
It Human Resources
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