Application of Wavelet Analysis in Sequence Stratigraphic Division of Glutenite Sediments

2010 ◽  
Author(s):  
Jinliang Zhang ◽  
Aixue Song
Keyword(s):  
Wavelet Analysis ◽  
Sequence Stratigraphic ◽  
Stratigraphic Division

Characteristics of Sedimentation Evolution Based on the Sequence Stratigraphic Frameworks in Shahezi Formation of Southern Xujiweizi Fault Depression

2014 ◽  
Vol 1010-1012 ◽  
pp. 1359-1364
Author(s):  
Ang Li ◽  
Lai Xing Cai ◽  
Shuang Liu ◽  
Qi Li
Keyword(s):  
Sequence Stratigraphy ◽  
Developmental Stages ◽  
Second Grade ◽  
Lake Basin ◽  
Sequence Stratigraphic ◽  
Sedimentary Evolution ◽  
Stratigraphic Framework ◽  
Stratigraphic Division ◽  
Facies Types ◽  
System Tracts

Many scholars in China introduced the theory of sequence stratigraphy,applying to Chinese continental fault depression lake, they have made a lot of achievements in scientific research. However, there are still a lot of controversy according to the establishment in Shahezi group of sequence stratigraphic framework in Xujiaweizi fault depression.Sequence boundary identification method in this paper is based on the “instruction of Vail’s sequence stratigraphy theory, identification of seismic unconformity, verification by using logging methords”. And, following the principle of isochronous ,sequence stratigraphic framework of this region is established clearly. The southern Xujiaweizi fault depression in Shahezi group is divided into 1 second grade sequence, in the interior distributed SQ1-SQ4 4 third grade sequences from the bottom. Developmental stages at the bottom of SQ1 and the top of SQ4, basin is small and water is shallow. However, Developmental stages in SQ2 and SQ3,water enters the lake basin continuously, formed a sedimentary background of “wide basin and deep water”. In addition, each of the three grade sequence has split structure, the lake transgressive domain and lake regression domain two system tracts. Besides, the reversed order para-sequence sets caused by the lake regression and progradation set on the positive para-sequence sets caused by the lake transgression and retrogradation. On the basis of sequence stratigraphic division and correlation, conbined with the regional construction and the supply of provenance ,the sedimentary sequence framework of evolution characteristics are studied.That fan delta,braided river delta, lacustrine are the main facies types in study area. Characteristics of sedimentary evolution there are like this: the characteristics of sedimentation evolution show framework controls sand, succession of evolution, separated-source sedimentary, contiguously distribution.

High-Resolution Sequence Stratigraphic Division and Monosandbody Isochronic Correlation of Meandering River Delta of Fuyu Oil Layer in the Northern Honggang

2013 ◽  
Vol 734-737 ◽  
pp. 362-365
Author(s):  
Yu Sun ◽  
Xiu Li Zhang ◽  
Jin Yan Zhang ◽  
Chen Chen
Keyword(s):  
High Resolution ◽  
Geographical Location ◽  
Sequence Stratigraphic ◽  
Meandering River ◽  
Base Level ◽  
Sedimentary Evolution ◽  
Sand Body ◽  
Stratigraphic Division ◽  
Cyclic Changes

By using the cores, drilling and logging data, Fuyu oil layer in the northern Honggang is divided into 2 long-term base level cycle, 4 medium-term base level cycles, 20 short-term base level cycles, and monosandbody high-resolution sequence strata framework is established, monosandbody isochronic correlation is achieved in Isochronic strata framework at the same time. Through high--resolution sequence stratigraphic analysis, sedimentary evolution, monosandbody distribution, sand geometry and distribution characteristics of reservoir are controlled by base-level changes in Fuyu oil layer of the northern Honggang. The lower Fuyu oil layer is dereliction prograding sequence stratigraphic modes in fall range of base-level. Space stacked form of the sand body is controlled by A/S ratio or base level changes. The symmetry of cyclic changes with the geographical location and distance from the sedimentary source.

Application of Wavelet Transform in High-Resolution Sequence Stratigraphic Division

2013 ◽  
Vol 772 ◽  
pp. 823-827 ◽  
Author(s):  
Da Wei Ji ◽  
Ji Li ◽  
Guang Dong Lu
Keyword(s):  
Wavelet Transform ◽  
High Resolution ◽  
Sequence Stratigraphy ◽  
Periodic Oscillation ◽  
Oil Well ◽  
Sequence Stratigraphic ◽  
Stratigraphic Division ◽  
High Resolution Sequence Stratigraphy ◽  
The Relationship ◽  
Oscillation Characteristics

In this paper, the method and effect of logging curves wavelet transform in high-resolution sequence division are discussed, taking the middle oil sequence stratigraphic of DU-432 oil well in north-Songliao basin as an example. Using Wavelet Transform to GR logging curves, the relationship between logging curve signals and depth is transformed to the relationship between the depth and the scale domain, so that the wavelet curves in different scale are obtained. Then the relationship between the periodic oscillation characteristics of the wavelet curves under the best optimal scale factor and the sequence. Comparing the Sequence Stratigraphic Division by wavelet transform with the manual division, Results show that the Division by Sequence Stratigraphic wavelet transform is more objective and more effective and the Division provides a new way to high-resolution sequence stratigraphy.

scholarly journals Sequence stratigraphic division of the Shisanlitai Formation of Neoproterozoic in Southern Liaoning, China

2020 ◽  
Vol 558 ◽  
pp. 032010
Author(s):  
Zijie Wu ◽  
Guoren Zhang ◽  
Fuliang Gao ◽  
Haipeng Wang ◽  
Longwei Qiu ◽  
...  
Keyword(s):  
Sequence Stratigraphic ◽  
Stratigraphic Division

Classification of Acceleration Waveforms during Walking by Wavelet Transform

1997 ◽  
Vol 36 (04/05) ◽  
pp. 356-359 ◽  
Author(s):  
M. Sekine ◽  
M. Ogawa ◽  
T. Togawa ◽  
Y. Fukui ◽  
T. Tamura
Keyword(s):  
Wavelet Transform ◽  
Wavelet Analysis ◽  
Center Of Gravity ◽  
Dynamic Responses ◽  
Sequential Data ◽  
Acceleration Signal ◽  
Continuous Dynamic

Abstract:In this study we have attempted to classify the acceleration signal, while walking both at horizontal level, and upstairs and downstairs, using wavelet analysis. The acceleration signal close to the body’s center of gravity was measured while the subjects walked in a corridor and up and down a stairway. The data for four steps were analyzed and the Daubecies 3 wavelet transform was applied to the sequential data. The variables to be discriminated were the waveforms related to levels -4 and -5. The sum of the square values at each step was compared at levels -4 and -5. Downstairs walking could be discriminated from other types of walking, showing the largest value for level -5. Walking at horizontal level was compared with upstairs walking for level -4. It was possible to discriminate the continuous dynamic responses to walking by the wavelet transform.

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