Detection of Channels in Seismic Images Using the Steerable Pyramid

Mathewson, John; Hale, Dave

doi:10.3997/2214-4609.201400433

Cited by 3 publications

(3 citation statements)

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“…The fault zone is composed of a series of small secondary faults. Furthermore, the steerable pyramid process can be used to image the strike-slip fault [29,30]. The coherence attribute processed by a steerable pyramid could improve strike-slip fault images by suppressing the influence of other geological factors, such as rivers, reef-shoal facies, etc.…”

Section: Identification Of Strike-slip Faultmentioning

confidence: 99%

The Advances and Challenges of the Ediacaran Fractured Reservoir Development in the Central Sichuan Basin, China

He¹,

Guo²,

Tang³

et al. 2022

Energies

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The largest Precambrian gasfield in China has been found in the central Sichuan Basin. It has been assumed as an Ediacaran (Sinian) mound–shoal, microfacies-controlled, dolomite reservoir. However, the extremely low porosity–permeability and heterogeneous reservoir cannot establish high production by conventional development technology in the deep subsurface. For this contribution, we carried out development tests on the fractured reservoir by seismic reservoir description and horizontal well drilling. New advances have been made in recent years: (1) the prestack time and depth migration processing provides better seismic data for strike-slip fault identification; (2) seismic planar strike-slip structures (e.g., en échelon/oblique faults) and lithofacies offset together with sectional vertical fault reflection and flower structure are favorable for strike–slip fault identification; (3) in addition to coherence, maximum likelihood and steerable pyramid attributes can be used to identify small strike-slip faults and for fault mapping; (4) fusion attributes of seismic illumination and structural tensor were used to find fractured reservoir along fault damage zone; (5) horizontal wells were carried out across the strike-slip fault damage zone and penetrated fractured reservoir with high production. Subsequently, a large strike-slip fault system has been found throughout the central intracratonic basin, and the “sweet spot” of the fractured reservoir along the strike-slip fault damage zone is widely developed to be a new favorable domain for high-production development. There is still a big challenge in seismic and horizontal well technology for the economical exploitation of the deep fractured reservoirs. This practice provides new insight in the deep tight matrix reservoir development.

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Section: Identification Of Strike-slip Faultmentioning

confidence: 99%

The Advances and Challenges of the Ediacaran Fractured Reservoir Development in the Central Sichuan Basin, China

He¹,

Guo²,

Tang³

et al. 2022

Energies

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“…By capturing motion in all three directions, the 3D aMRI approach improves the image quality and visualization of amplified cardiac‐ and CSF‐induced brain motion in all three directions. The new 3D aMRI algorithm incorporates an extended version of the 2D steerable pyramid filters 36,37 used in the 2D aMRI algorithm, allowing one to capture both in‐plane and out‐of‐plane brain motion. To further increase the spatial resolution and improve the performance of the 3D aMRI algorithm, we also applied it to 3D volumetric cine in vivo data.…”

Section: Introductionmentioning

confidence: 99%

3D amplified MRI (aMRI)

Terem

Dang

Champagne

et al. 2021

Magnetic Resonance in Med

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Purpose Amplified MRI (aMRI) has been introduced as a new method of detecting and visualizing pulsatile brain motion in 2D. Here, we improve aMRI by introducing a novel 3D aMRI approach. Methods 3D aMRI was developed and tested for its ability to amplify sub‐voxel motion in all three directions. In addition, 3D aMRI was qualitatively compared to 2D aMRI on multi‐slice and 3D (volumetric) balanced steady‐state free precession cine data and phase contrast (PC‐MRI) acquired on healthy volunteers at 3T. Optical flow maps and 4D animations were produced from volumetric 3D aMRI data. Results 3D aMRI exhibits better image quality and fewer motion artifacts compared to 2D aMRI. The tissue motion was seen to match that of PC‐MRI, with the predominant brain tissue displacement occurring in the cranial‐caudal direction. Optical flow maps capture the brain tissue motion and display the physical change in shape of the ventricles by the relative movement of the surrounding tissues. The 4D animations show the complete brain tissue and cerebrospinal fluid (CSF) motion, helping to highlight the “piston‐like” motion of the ventricles. Conclusions Here, we introduce a novel 3D aMRI approach that enables one to visualize amplified cardiac‐ and CSF‐induced brain motion in striking detail. 3D aMRI captures brain motion with better image quality than 2D aMRI and supports a larger amplification factor. The optical flow maps and 4D animations of 3D aMRI may open up exciting applications for neurological diseases that affect the biomechanics of the brain and brain fluids.

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“…; Al‐Dossary ), and Canny operator (Al‐Dossary and Marfurt ; Di and Gao ). In fact, for better delineation of features in seismic data, extraction of directional information and computation of seismic attributes along structural dips are vital (Fehmers and Höcker ; Mathewson and Hale ; Aqrawi et al . ; Song et al .…”

Section: Introductionmentioning

confidence: 99%

Seismic channel edge detection using 3D shearlets—a study on synthetic and real channelised 3D seismic data

Karbalaali

Javaherian

Dahlke

et al. 2018

Geophysical Prospecting

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Automatic feature detection from seismic data is a demanding task in today's interpretation workstations. Channels are among important stratigraphic features in seismic data both due to their reservoir capability or drilling hazard potential. Shearlet transform as a multi‐scale and multi‐directional transformation is capable of detecting anisotropic singularities in two and higher dimensional data. Channels occur as edges in seismic data, which can be detected based on maximizing the shearlet coefficients through all sub‐volumes at the finest scale of decomposition. The detected edges may require further refinement through the application of a thinning methodology. In this study, a three‐dimensional, pyramid‐adapted, compactly supported shearlet transform was applied to synthetic and real channelised, three‐dimensional post‐stack seismic data in order to decompose the data into different scales and directions for the purpose of channel boundary detection. In order to be able to compare the edge detection results based on three‐dimensional shearlet transform with some famous gradient‐based edge detectors, such as Sobel and Canny, a thresholding scheme is necessary. In both synthetic and real data examples, the three‐dimensional shearlet edge detection algorithm outperformed Sobel and Canny operators even in the presence of Gaussian random noise.

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Detection of Channels in Seismic Images Using the Steerable Pyramid

Cited by 3 publications

References 0 publications

The Advances and Challenges of the Ediacaran Fractured Reservoir Development in the Central Sichuan Basin, China

The Advances and Challenges of the Ediacaran Fractured Reservoir Development in the Central Sichuan Basin, China

3D amplified MRI (aMRI)

Seismic channel edge detection using 3D shearlets—a study on synthetic and real channelised 3D seismic data

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