Spectral Decomposition of Seismic Reflection Data to Detect Gas Related Frequency Anomalies

Welsh, A.; Brouwer, Friso; Wever, A. K. T.; Flierman, W.

doi:10.3997/2214-4609.20148006

Cited by 9 publications

(4 citation statements)

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“…Firstly, a horizon was interpreted in both the inline and the crossline section across the entire 3D seismic volume. The interpreted horizon is further converted into a time surface map before applying the spectral decomposition attribute (Welsh et al, 2008). The spectral RGB (Red, Green, and Blue) frequencies were fine-tuned to agree with the layer of the horizon that it is to be applied.…”

Section: Attribute Analysis and Its Significancementioning

confidence: 99%

Enhanced hydrocarbon recovery using the application of seismic attributes in fault detection and direct hydrocarbon indicator in Tomboy Field, western-Offshore Niger Delta Basin

Ibekwe

Arukwe

Ahaneku

et al. 2023

Preprint

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Seismic stratigraphic and structural interpretation is often hampered by seismic resolution and, sometimes, human's inability to identify a subtle feature on the seismic. These factors have frequently led to the poor seismic interpretation of geologic features. Thus, an integral approach to studying the structural patterns and hydrocarbon bearing zones using seismic attributes were carried out on the Tomboy field using 3D seismic data covering approximately 56 km 2 of the western belt of the Niger Delta. The seismic volume underwent post-stack processing, which enhanced seismic discontinuities. A deep steering volume was first created, and several dip filters were applied to enhance faults in the study area. After that, curvature and similarity attributes were calculated on the dip-steered and fault-enhanced volume. These calculations show detailed geometry of the faults and zones of subtle lineaments. Six faults (F1, F2, F3, F4, F5, and F6) were identified and mapped. These faults range from antithetic to crestal growth faults. Two major growth faults (F5 and F6) were revealed to dip in the NE-SW directions. A near-extensive crestal fault (F4) appeared beneath the major faults. Although several minor fractures were displayed in the southern and central portion of the seismic data, the SW dipping crestal fault (F4) and growth fault F6 are responsible for holding the hydrocarbon found within the identified closures. Using attributes on the seismic data increased confidence in the mapping and interpreting structural features. Furthermore, Energy attributes were used as Direct Hydrocarbon Indicator (DHI) to visualize viable areas within the study and permits a more robust interpretation. Time slices were taken at regions of flat and bright spots. Spectral decomposition attribute was run on these slices to display areas of high amplitude reflection typical of hydrocarbon-bearing regions, which are trapped mainly by regional to sub-regional growth faults. The surface attribute calculated on the generated surface shows that the field is dominantly controlled by faults serving as traps for hydrocarbon.

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Section: Attribute Analysis and Its Significancementioning

confidence: 99%

Enhanced hydrocarbon recovery using the application of seismic attributes in fault detection and direct hydrocarbon indicator in Tomboy Field, western-Offshore Niger Delta Basin

Ibekwe

Arukwe

Ahaneku

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…First, a horizon was interpreted in both the inline and the crossline sections across the entire 3D seismic volume. The interpreted horizon is converted into a time surface map before applying the spectral decomposition attribute [37][38][39][40][41]. The spectral RGB (red, green, and Blue) frequencies were fine-tuned to agree with the layer of the horizon that it is to be applied.…”

Section: Attribute Analysis and Its Significancementioning

confidence: 99%

The Application of Seismic Attributes in Fault Detection and Direct Hydrocarbon Indicator in Tomboy Field, Western-Offshore Niger Delta Basin

Ibekwe

Arukwe

Ahaneku

et al. 2023

JENRR

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Seismic attribute analysis is important in subsurface data interpretation, such as seismic interpretation, which could involve seismic stratigraphic and structural interpretation. This interpretation is often hampered by seismic resolution and, sometimes, human inability to identify a subtle feature on the seismic. These factors have frequently led to the poor seismic interpretation of geologic features. Thus, an integral approach to studying structural patterns and hydrocarbon bearing zones using seismic attributes was carried out on the Tomboy field using 3D seismic data covering approximately 56 km2 of the western belt of the Niger Delta. The seismic volume underwent post-stack processing, which enhanced seismic discontinuities. A deep steering volume was first created, and several dip filters were applied to enhance faults in the study area. After that, curvature and similarity attributes were calculated on the dip-steered and fault-enhanced volume. These calculations show detailed geometry of the faults and zones of subtle lineaments. Six faults (F1, F2, F3, F4, F5 and F6) were identified and mapped. These faults range from antithetic to crest growth faults. Two major growth faults (F5 and F6) were revealed to dip in the northeast to southwest directions. A near-extensive crest fault (F4) appeared beneath the major faults. Although several minor fractures were displayed in the southern and central portions of the crest fault of the dipping seismic data, the southwest (F4) and growth fault, F6, are responsible for holding the hydrocarbon found within the identified closures. Using attributes on the seismic data increased confidence in mapping and interpreting structural features. Furthermore, energy attributes were used as Direct Hydrocarbon Indicators (DHI) to visualize viable areas within the study, which allows a more robust interpretation. Time slices were taken in regions of flat and bright spots. The spectral decomposition attribute was run on these slices to display areas of high amplitude reflection typical of hydrocarbon-bearing regions trapped mainly by regional to sub-regional growth faults. The surface attribute calculated on the generated surface shows that the field is predominantly controlled by faults serving as traps for hydrocarbon.

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“…Compared with short-time Fourier transform (STFT), the ST conducts a multiresolution processing for the analytic signal x(t ) so that it can be widely employed in hydrocarbon detection (Sinha et al, 2005;Welsh et al, 2008), thin layer recognition (Radad et al, 2015), seismic data attenuation compensation (Wang, 2016;Wang and Lu, 2018) etc. However, equations (1) and ( 3) indicate that the standard ST has no additional parameters to adjust the shape and size of the Gaussian window.…”

Section: Standard S-transformmentioning

confidence: 99%

Application of adaptive parameterized S‐transform to delta sandstone reservoir identification

Fang

Chen

et al. 2021

Geophysical Prospecting

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Time-frequency analysis plays an important role in seismic interpretation and reservoir identification because it reveals the variation of seismic frequency contents over time. The S-transform is recognized as an efficient method for seismic time-frequency analysis, but its frequency distribution biases the actual Fourier spectrum due to the linear frequency-dependent term in the analytical window. In this paper, an improved S-transform, named adaptive parameterized S-transform, is proposed for identifying delta sandstone reservoirs. In the proposed method, three parameters are introduced into the S-transform to better adjust the time-frequency resolution in different frequency bands. Then these parameters are selected adaptively by using the concentration measure to provide a highly energy-concentrated time-frequency representation for seismic signals. Two synthetic examples validate the effectiveness of the proposed method. Analysis of field seismic data illustrates that it can provide a better reservoir interpretation with a high resolution. Comparisons between the wavelet transform, S-transform, and modified S-transform prove the superiority of the proposed method in describing reservoir distribution and decreasing the uncertainty of reservoir detection. This paper presents a complementary approach to current methods for reservoir detection and identification.

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Spectral Decomposition of Seismic Reflection Data to Detect Gas Related Frequency Anomalies

Cited by 9 publications

References 0 publications

Enhanced hydrocarbon recovery using the application of seismic attributes in fault detection and direct hydrocarbon indicator in Tomboy Field, western-Offshore Niger Delta Basin

Enhanced hydrocarbon recovery using the application of seismic attributes in fault detection and direct hydrocarbon indicator in Tomboy Field, western-Offshore Niger Delta Basin

The Application of Seismic Attributes in Fault Detection and Direct Hydrocarbon Indicator in Tomboy Field, Western-Offshore Niger Delta Basin

Application of adaptive parameterized S‐transform to delta sandstone reservoir identification

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