Frequency trend attribute analysis for stratigraphic division and correlation

Geophysics ◽  
2015 ◽  
Vol 80 (1) ◽  
pp. IM1-IM9 ◽  
Author(s):  
Jingling Xu ◽  
Luofu Liu ◽  
Yuxing Qin ◽  
Jianbo Zhang
Keyword(s):  
Gamma Ray ◽  
Sedimentary Environment ◽  
Analysis Data ◽  
Stratigraphic Sequence ◽  
Base Level ◽  
Attribute Analysis ◽  
Natural Gamma ◽  
Stratigraphic Division ◽  
Maximum Entropy Spectrum ◽  
Cycle Structures

Stratigraphic sequence interpretation and correlation are part of basic geologic research, but present frequent problems such as subjective and accurate division and correlation of sequence cycles, and a multiplicity of solutions to high-frequency sequences. We developed a novel method, termed frequency trend attribute analysis (FTAA), to solve these problems and improve the accuracy of division. The method was based on maximum entropy spectrum analysis data, built on theoretical foundations, and tested on geologic models as well as empirical data. We developed examples of how FTAA can improve stratigraphic division and correlation. We extracted frequency trend lines from well logging data (using all or a selected part of a facies-sensitive log such as the natural gamma-ray log) whereby the FTAA outcome reflected the overlay series and cycle structures. The resulting frequency trend lines also indirectly reflected changes to the sedimentary environment and base level, and the precise stratigraphic division and isochronous comparisons were automatically deduced from the frequency trend lines. According to the practical comparison with wells in the field, the frequency trend lines were found to be more accurate than using outcrop data, and the method proved to be effective and convenient in use. The FTAA significantly improved the precision and accuracy of automatic division and correlation of sequence cycles.

scholarly journals Stratigraphic correlation potential of magnetic susceptibility and gamma-ray spectrometric variations in calciturbiditic facies (Silurian-Devonian boundary, Prague Synclinorium, Czech Republic)

2010 ◽  
Vol 61 (4) ◽  
pp. 257-272 ◽  
Author(s):  
František Vacek ◽  
Jindřich Hladil ◽  
Petr Schnabl
Keyword(s):  
Magnetic Susceptibility ◽  
Czech Republic ◽  
Deep Water ◽  
Gamma Ray ◽  
Sedimentary Environment ◽  
Gamma Ray Spectrometry ◽  
Stratigraphic Correlation ◽  
Sea Level Changes ◽  
Natural Gamma ◽  
Correlation Potential

Stratigraphic correlation potential of magnetic susceptibility and gamma-ray spectrometric variations in calciturbiditic facies (Silurian-Devonian boundary, Prague Synclinorium, Czech Republic)Magnetic susceptibility (MS) and gamma-ray spectrometry (GRS) stratigraphy were used for correlation and characterization of eight Silurian-Devonian (S-D) sections in the Prague Synclinorium (Czech Republic). They represent two different facies developments: lower subtidal to upper slope deposits and slope-to-basin-floor distal calciturbidites. Sections from relatively shallow- and deep-water sections are easy to compare and correlate separately, although the detailed relationship between these two facies is still not entirely clear and correlations between the two settings are difficult. This may be due to sharp facies transitions and presence of stratigraphic gaps. The MS and GRS stratigraphic variations combined with sedimentologic data have been also used for reconstruction of the evolution of the sedimentary environment. The beds close above the S-D boundary show noticeably enhanced MS magnitudes but weak natural gamma-ray emissions. It may correspond to an increased amount of terrigenous magnetic material occurring with short-term shallowing (sedimentological evidence). In deep-water sections the uppermost Silurian is characterized by high MS and GRS values. It corresponds to a supply of recycled sediment to the lower wedge which occurred during the late Pridoli regression phase. The basal Devonian beds correspond to gradual deepening, but the overlying sequences reflect other shallowing episodes which are expressed in increasing MS and gamma ray activity of rocks. The MS and GRS fluctuations are interpreted as a result of local subsidence of the sea bottom along synsedimentary growth-faults and/or a biotic event rather than of eustatic sea-level changes.

Elemental analysis using natural gamma-ray spectroscopy

1994 ◽  
Vol 353 (1-3) ◽  
pp. 558-561 ◽  
Author(s):  
A. Aksoy ◽  
A.A. Naqvi ◽  
F.Z. Khiari ◽  
F. Abujarad ◽  
M. Al-Ohali ◽  
...  
Keyword(s):  
Elemental Analysis ◽  
Gamma Ray ◽  
Natural Gamma ◽  
Gamma Ray Spectroscopy

Quaternary chronostratigraphic framework and sedimentary processes for the Gulf of Cadiz and Portuguese Contourite Depositional Systems derived from Natural Gamma Ray records

2016 ◽  
Vol 377 ◽  
pp. 40-57 ◽  
Author(s):  
Johanna Lofi ◽  
Antje Helga Luise Voelker ◽  
Emmanuelle Ducassou ◽  
F. Javier Hernández-Molina ◽  
Francisco J. Sierro ◽  
...  
Keyword(s):  
Gamma Ray ◽  
Gulf Of Cadiz ◽  
Sedimentary Processes ◽  
Natural Gamma ◽  
Gulf Of Cádiz ◽  
Depositional Systems

scholarly journals A python code for automatic construction of Fischer plots using proxy data

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Daming Yang ◽  
Yongjian Huang ◽  
Zongyang Chen ◽  
Qinghua Huang ◽  
Yanguang Ren ◽  
...  
Keyword(s):  
Data Processing ◽  
Open Source ◽  
Lake Level ◽  
Gamma Ray ◽  
Data Series ◽  
Proxy Data ◽  
Cycle Number ◽  
Automatic Construction ◽  
Natural Gamma ◽  
Graphic Representations

AbstractFischer plots are widely used in paleoenvironmental research as graphic representations of sea- and lake-level changes through mapping linearly corrected variation of accumulative cycle thickness over cycle number or stratum depth. Some kinds of paleoenvironmental proxy data (especially subsurface data, such as natural gamma-ray logging data), which preserve continuous cyclic signals and have been largely collected, are potential materials for constructing Fischer Plots. However, it is laborious to count the cycles preserved in these proxy data manually and map Fischer plots with these cycles. In this paper, we introduce an original open-source Python code “PyFISCHERPLOT” for constructing Fischer Plots in batches utilizing paleoenvironmental proxy data series. The principle of constructing Fischer plots based on proxy data, the data processing and usage of the PyFISCHERPLOT code and the application cases of the code are presented. The code is compared with existing methods for constructing Fischer plots.

Natural Gamma Ray Tool Response Discrepancies: Not Always Due to the Calibration!

2018 ◽  
Author(s):  
Françoise Allioli ◽  
Luisa Nicoletti ◽  
Christian Stoller ◽  
Libai Xu
Keyword(s):  
Gamma Ray ◽  
Natural Gamma

Use of Natural Gamma Ray Spectral Logging in Evaluation of Clay Minerals

1982 ◽  
Vol 6 (4) ◽  
pp. 335-360 ◽  
Author(s):  
Walter H. Fertl ◽  
George V. Chilingarian ◽  
T. F. Yen
Keyword(s):  
Clay Minerals ◽  
Gamma Ray ◽  
Natural Gamma

scholarly journals SIKAP DAN FAKTOR-FAKTOR YANG MEMENGARUHI PEMBELIAN KONSUMEN TERHADAP ROTI KAMURA BAKERY DI KOTA BANDAR LAMPUNG

2021 ◽  
Vol 9 (3) ◽  
pp. 485
Author(s):  
Ria Devita ◽  
Wuryaningsih Dwi Sayekti ◽  
Eka Kasymir
Keyword(s):  
Sampling Technique ◽  
Analysis Data ◽  
Average Frequency ◽  
Consumer Attitude ◽  
Negative Effects ◽  
Sweetened Condensed Milk ◽  
Attribute Analysis ◽  
June July ◽  
Purchasing Patterns ◽  
Positive Effect

This study aims to analyze the attitude of consumers toward the purchase of Kamura Bakery bread in Bandar Lampung City, the purchase pattern, and the factors that influence the number of bread purchased.  This research was conducted at Kamura Bakery Sukarame branch in Bandar Lampung City.  The research method is a survey with accidental sampling technique.  Respondents were 60 Kamura Bakery consumers who had bought/consumed Kamura Bakery at least once in the last one month. The research data are analyzed using Fishbein Multi-attribute analysis, descriptive statistics, and multiple linier regression analysis.  Data collection was conducted in June - July 2020.  The results showed that the consumers bought bread at Kamura Bakery mostly because of the taste.  The highest amount of Kamura Bakery’s bread purchased was chocolate flavor, the average number purchased was 28 pieces per household monthly, and the average frequency was seven times a month.  The price of sweetened condensed milk and household income have a significantly negative effects on the number of purchase, while the number of family members has a significant positive effect on the number of bread purchased. Key words:  bread, consumer attitude, purchasing factors, purchasing patterns

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