THE BLOCK MOVE SUM NORMAL MOVEOUT CORRECTION

Geophysics ◽  
1975 ◽  
Vol 40 (1) ◽  
pp. 17-24 ◽  
Author(s):  
G. B. Rupert ◽  
J. H. Chun
Keyword(s):  
Real Data ◽  
Synthetic Seismogram ◽  
Signal Distortion ◽  
New Normal ◽  
Production Methods ◽  
Normal Moveout Correction ◽  
The Ideal

A new normal moveout technique designated Block Move Sum (BMS) is described. In theory it better approximates the ideal inverse NMO process than do currently utilized techniques. Data blocks are corrected as units thus eliminating trace stretching and reducing trace distortion. The proposed correction and two common production methods are applied to both synthetic and real data and compared. Crosscorrelations calculated from synthetic seismogram data suggest the BMS method creates the least signal distortion. For field CDP data, the BMS does improve signal resolution for events at early times.

scholarly journals Implementation of a standard work routine using Lean Manufacturing tools: A case Study

2021 ◽  
Vol 28 (1) ◽  
Author(s):  
Diego Michael Cornelius dos Santos ◽  
Bruna Karine dos Santos ◽  
César Gabriel dos Santos
Keyword(s):  
Continuous Improvement ◽  
Lean Manufacturing ◽  
Assembly Line ◽  
Real Data ◽  
Production Methods ◽  
Standard Work ◽  
Technological Advances ◽  
Work Routine ◽  
Constant Improvement

Abstract: Due to technological advances, trade politicies and society's consumption patterns, competitiveness among companies has increased considerably, requiring practices that provide a constant improvement in production indicators and product quality. In this context, the use of Toyota Production System tools, also known as Lean Manufacturing, have a fundamental role in the elimination of waste and continuous improvement of industrial production levels. Thus, this work aims to implement a standardized work routine among employees working in a market of parts in an Agricultural Machinery industry, which lacks production methods. To represent this situation, real data were used, which correspond to the needs of the assembly line, and which served as the basis for the analysis and implementation of a new work routine. The results obtained enabled the creation of a standardized work routine, which was obtained by balancing activities between operators and eliminating activities that did not add value to the product.

A Social Choice Analysis of Online Hotel Rating

2020 ◽  
pp. 2050039
Author(s):  
Yang Xu ◽  
Yelin Fu ◽  
Kin Keung Lai
Keyword(s):  
Social Choice ◽  
Ideal Point ◽  
Individual Preference ◽  
Real Data ◽  
Subjective Judgement ◽  
Choice Analysis ◽  
The Social ◽  
Online Ratings ◽  
The Individual ◽  
The Ideal

The primary purpose of this paper is to aggregate the overall rating based on guests’ online ratings by performing a social choice analysis of online hotel rating. Specifically, we first define the individual preference as the subjective judgement on the important order of the dimensions of online hotel rating, then quantify the individual preference through an analytical approach, the pessimistic and optimistic results of which are balanced by the Hurwicz criterion approach, lastly formulate the social choice result by means of the ideal-point concept. An empirical study using the real data collected from Trip.com is conducted to show the applicability and superiority of our methodology.

Three-parameter normal moveout correction in layered anisotropic media: A stretch-free approach

Geophysics ◽  
2019 ◽  
Vol 84 (3) ◽  
pp. C129-C142 ◽  
Author(s):  
Mohammad Mahdi Abedi ◽  
Mohammad Ali Riahi ◽  
Alexey Stovas
Keyword(s):  
Transversely Isotropic ◽  
Real Data ◽  
Data Sets ◽  
P Waves ◽  
Transversely Isotropic Media ◽  
Isotropic Media ◽  
Nmo Correction ◽  
Recorded Data ◽  
Normal Moveout Correction ◽  
Vti Media

In conventional normal moveout (NMO) correction, some parts of the recorded data at larger offsets are discarded because of NMO distortions. Deviation from the true traveltime of reflections due to the anisotropy and heterogeneity of the earth, and wavelet stretching are two reasons of these distortions. The magnitudes of both problems increase with increasing the offset to depth ratio. Therefore, to be able to keep larger offsets of shallower reflections, both problems should be obviated. Accordingly, first, we have studied different traveltime approximations being in use, alongside new parameterizations for two classical functional equations, to select suitable equations for NMO correction. We numerically quantify the fitting accuracy and uncertainty of known nonhyperbolic traveltime approximations for P-waves in transversely isotropic media with vertical symmetry axis (VTI). We select three suitable three-parameter approximations for NMO in layered VTI media as the VTI generalized moveout approximation, a double-square-root approximation, and a perturbation-based approximation. Second, we have developed an extension of the earlier proposed stretch-free NMO method, using the selected moveout approximations. This method involves an automatic modification of the input parameters in anisotropic NMO correction, for selected reflections. Our anisotropic stretch-free NMO method is tested on synthetic and three real data sets from Gulf of Mexico and Iranian oil fields. The results verify the success of the method in extending the usable offsets, by generating flat and stretch-free NMO corrected reflections.

Analysis of Signal Distortion Caused by Opening Ratio Variation of Main Scale and Index Scale in Linear Encoder

2013 ◽  
Vol 712-715 ◽  
pp. 1833-1837 ◽  
Author(s):  
Xuan Li ◽  
Lei Yin ◽  
Yong Sheng Shi ◽  
Guo Yong Ye ◽  
Hao Yu Yu ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Manufacturing Process ◽  
Output Signal ◽  
Manufacturing Industry ◽  
Signal Distortion ◽  
Ratio Variation ◽  
Opening Ratio ◽  
Linear Encoder ◽  
Photolithography Process ◽  
The Ideal

Linear encoder as an important displacement measurement device has been widely used in manufacturing industry. The accuracy of linear encoder is based on the precision of its scales. In this article, the manufacturing process of the scales based on photolithography process and etching process was discussed in order to explain the opening ratio variation. A mathematical model was derived to analyze the effects of opening ratio variation on the waveform of output signal. The result shows that the waveform of the signal is cut off in comparison with the ideal waveform, and the magnitude of the output signal is changed.

scholarly journals Indonesian Uncertainty on Tourism Components in the New Normal Period and the Ability to Travel Soon

2021 ◽  
Vol 33 (3) ◽  
pp. 169
Author(s):  
Imam Nur Hakim ◽  
Chamma Fitri Putri Pradjwalita Koesfardani ◽  
I Dewa Gede Richard Alan Amory
Keyword(s):  
Quantitative Approach ◽  
New Normal ◽  
Tourist Destinations ◽  
Tourism Sector ◽  
Ideal Situation ◽  
Normal Period ◽  
Health Factors ◽  
Transmission Prevention ◽  
The Government ◽  
The Ideal

When the COVID-19 pandemic hit Indonesia, one of the most-impacted industries was its tourism sector. After the government developed various transmission prevention policies, a press release from the Indonesian president in May 2020 established the new normal terms. These new terms sought to allow Indonesians to return to travel as soon as possible with several protocols in place. However, the post-pandemic situation has made some Indonesians feel an intolerance towards the uncertainty of changes in the tourism component. Through a descriptive quantitative approach using the theory of Intolerance of Uncertainty (IU), this study aimed to determine what Indonesians feel about uncertainty, how they feel about it, and how to reduce these feelings in Camilleri’s five components of tourism. The results showed that Indonesians feel uncertainty in every component of tourist destinations, with accommodation being the most significant factor, followed by financial, protocol readiness, and health factors, particularly the threat of contracting the virus and the number of cases. Therefore, appropriate handling to eliminate the number of affected cases and the uncertainty of crowds in the destination can significantly contribute to creating the ideal situation awaited by most Indonesians before they decide to return to travel.

scholarly journals Development of Decision Support System Based on the Bayes ARD Algorithm for Irrigation of Cotton

2021 ◽  
Vol 78 (2) ◽  
pp. 112
Author(s):  
Dimitriοs LEONIDAKIS ◽  
Evangelos PSOMAKELIS ◽  
Christoforos Nikitas KASIMATIS ◽  
Nikolaos KATSENIOS ◽  
Ioanna KAKABOUKI ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Irrigation Water ◽  
New Technologies ◽  
Real Data ◽  
Technological Field ◽  
Final Yield ◽  
Weather Stations ◽  
The Ideal

Cotton is a plant, which is mainly cultivated in regions where the irrigation is necessary as rainwater is not adequate. Researches in the recent years have showed that the irrigation water used could be declined. Improvements in the technological field has made Decision Support Systems combined with Neural Networks and data analysis, an important tool of sustainable agriculture. Cotton producers need to reduce irrigation water needs and that can be achieved by using new technologies. The development Decision Support System was conducted, having 3 different types of input. Data derived from a variety of IoT sensors, weather stations, and on-site measurements (yield and ΕΜ38) derived from 3 fields in Greece, creating a dataset of 9 different inputs. A total of 13 different algorithms were tested and evaluated in order to determine which one is the ideal for our dataset. The adoption of this technology in real data predicted the reduction of the irrigation times, ensuring that there will be no losses in the final yield.

Nongeometric arrivals due to highly concentrated sources adjacent to plane interfaces

1983 ◽  
Vol 73 (6A) ◽  
pp. 1655-1671
Author(s):  
P. F. Daley ◽  
F. Hron
Keyword(s):  
Wave Field ◽  
High Frequency ◽  
Real Data ◽  
Synthetic Seismogram ◽  
Head Wave ◽  
Real Field ◽  
Branch Points ◽  
Good Match ◽  
Full Wave ◽  
Frequency Approximation

Abstract A high-frequency approximation for nongeometrical arrivals due to highly concentrated sources adjacent to the interfaces between two different elastic media has been developed following their detection in the real field data by Gutowski et al. (1982). In our approach, the “★” waves are associated with secondary saddle-point contributions of the contour of integration circumventing branch points in the integral representation of transmitted wave field. Our formulas are presented in a simple form suitable for an easy incorporation into any ray synthetic seismogram computation. The range of validity of our approximations is discussed and their accuracy tested by comparing the pertinent ray seismograms with their equivalents produced by the Alekseev-Mikhailenko method. A good match between both sets of seismograms suggests that our high-frequency approximations for “★” waves are well justified as are our formulas derived for the head wave-like arrivals driven by the “★” waves, and seen in the full wave field seismograms and detected in real data as well.

Seismic well tie by aligning impedance log with inverted impedance from seismic data

2020 ◽  
Vol 8 (4) ◽  
pp. T917-T925
Author(s):  
Bo Zhang ◽  
Yahua Yang ◽  
Yong Pan ◽  
Hao Wu ◽  
Danping Cao
Keyword(s):  
Seismic Data ◽  
Dynamic Time Warping ◽  
Real Data ◽  
Seismic Inversion ◽  
Synthetic Seismogram ◽  
Well Logs ◽  
Time Warping ◽  
Seismic Wavelet ◽  
Dynamic Time ◽  
Depth Relationship

The accuracy of seismic inversion is affected by the seismic wavelet and time-depth relationship generated by the process of the seismic well tie. The seismic well tie is implemented by comparing the synthetic seismogram computed from well logs and the poststack seismogram at or nearby the borehole location. However, precise waveform matching between the synthetic seismogram and the seismic trace does not guarantee an accurate tie between the elastic properties contained represented by the seismic data and well logs. We have performed the seismic well tie using the impedance log and the impedance inverted from poststack seismic data. We use an improved dynamic time warping to align the impedance log and impedance inverted from seismic data. Our workflow is similar to the current procedure of the seismic well tie except that the matching is implemented between the impedance log and the inverted impedance. The current seismic well-tie converges if there is no visible changes for the wavelets and time-depth relationship in the previous and current tying loops. Similarly, our seismic well tie converges if there are no visible changes for the wavelets, inverted impedance, and time-depth relationship in the previous and current tying loops. The real data example illustrates that more accurate inverted impedance is obtained by using the new wavelet and time-depth relationship.

Seismic data interpolation using a fast generalized Fourier transform

Geophysics ◽  
2011 ◽  
Vol 76 (1) ◽  
pp. V1-V10 ◽  
Author(s):  
Mostafa Naghizadeh ◽  
Kristopher A. Innanen
Keyword(s):  
Fourier Transform ◽  
Seismic Data ◽  
Interpolation Method ◽  
Temporal Frequency ◽  
Real Data ◽  
Generalized Fourier Transform ◽  
Sampled Data ◽  
Low Frequencies ◽  
Mask Function ◽  
The Ideal

We have found a fast and efficient method for the interpolation of nonstationary seismic data. The method uses the fast generalized Fourier transform (FGFT) to identify the space-wavenumber evolution of nonstationary spatial signals at each temporal frequency. The nonredundant nature of FGFT renders a big computational advantage to this interpolation method. A least-squares fitting scheme is used next to retrieve the optimal FGFT coefficients representative of the ideal interpolated data. For randomly sampled data on a regular grid, we seek a sparse representation of FGFT coefficients to retrieve the missing samples. In addition, to interpolate the regularly sampled seismic data at a given frequency, we use a mask function derived from the FGFT coefficients of the low frequencies. Synthetic and real data examples can be used to examine the performance of the method.

Nonhyperbolic stretch-free normal moveout correction

Geophysics ◽  
2016 ◽  
Vol 81 (6) ◽  
pp. U87-U95 ◽  
Author(s):  
Mohammad Mahdi Abedi ◽  
Mohammad Ali Riahi
Keyword(s):  
Synthetic Data ◽  
Real Data ◽  
Oil Field ◽  
New Method ◽  
Mapping Data ◽  
Data Set ◽  
Nmo Correction ◽  
Natural Result ◽  
Zero Offset ◽  
Normal Moveout Correction

Normal moveout (NMO) correction is routinely applied to traces of each common-midpoint (CMP) gather before forming a stack section. Conventional NMO correction has the drawback of producing stretching as a natural result of convergence of the NMO trajectories. Although this problem exists on completely hyperbolic reflections, the reflections will be further deviated from the desirable zero-offset equivalent if they indicate nonhyperbolic behavior. We have addressed this issue and developed a new method of stretch-free NMO correction in two steps: first, a novel way of rectifying NMO correction trajectories in a shifted hyperbolic NMO base, and second, a prioritized successive process of mapping data samples into an NMO-corrected gather. We have determined the advantage of the proposed method over two preceding methods: isomoveout and local stretch zeroing. The effectiveness of the new method in producing a stretch-free NMO gather was tested on synthetic data generated by ray tracing and a real data set of 200 CMP gathers of an Iranian oil field. The proposed method can be used in the presence of hyperbolic and nonhyperbolic events, and it recovers the amplitudes of interfering reflections to extend the usable offsets.

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