Spectral decomposition illumination of reservoir facies

Zhang, Kui; Marfurt, Kurt J.; Slatt, Roger M.; Guo, Yanxia

doi:10.1190/1.3255594

Cited by 7 publications

(4 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The amplitude spectra can be utilized to indicate the lateral discontinuity of geologic bodies that can help locating prospect areas and delineating facies such as channel sands (Gang et al 2011). Amplitude spectra at low frequencies are also reported as a direct hydrocarbon indicator (DHI) in some reservoirs (Sinha et al 2005;Welsh et al 2008;Zhang et al 2009). Spectral decomposition was applied to detect sand bodies (Posamentier and Kolla 2003;Suarez et al 2008) 1.…”

Section: Spectral Decompositionmentioning

confidence: 99%

Application of seismic attribute analysis in fluvial seismic geomorphology

Hossain

2019

J Petrol Explor Prod Technol

View full text Add to dashboard Cite

Seismic attributes can be important predictors, either qualitative or quantitative, of reservoir geometries when they are correctly used in reservoir characterization studies. This paper discusses seismic attribute analyses and their usefulness in seismic geomorphology study of Moragot field of Pattani Basin, Gulf of Thailand. Early to Middle Miocene fluvial channel and overbank sands are the reservoirs in Pattani Basin. Due to their limited horizontal and vertical distribution, it is not always possible to predict the geometry and distribution of these sands based on the conventional seismic interpretation. This study utilized various seismic attributes, e.g., RMS amplitude analysis, spectral decomposition, semblance and dipsteered similarity, RGB blending to image the geometry and the spatial distribution of sand bodies in horizon and stratal slices at different stratigraphic intervals. Attribute analyses reveal, at shallow stratigraphic levels, RMS and semblance can successfully identify channel-shaped sand bodies and mud-filled channels associated with channel belts. On the other hand in deeper stratigraphic intervals, sand distribution can be imaged more effectively by using spectral decomposition and dipsteered similarity volumes. High-frequency spectral decomposition slices can image thin sands, and low-frequency slices can image thick sands quite effectively in deeper intervals. RGB blending of different frequency slices is particularly useful in delineating channel systems of various dimensions at deeper intervals. These images show the distribution of sands and mud-filled channels at various stratigraphic levels. The width of channel belts varies from 200 m to 3 km. These channel belts are N-S or NW-SE oriented. From the channel pattern and their dimensions, depositional environments can be predicted. Mud-filled channels identified in the horizon slices will act as a connectivity barrier between sand bodies at either side of the channel. They can also act as lateral and up-dip seal to form stratigraphic traps. The seismic attribute analyses clearly show the geometry and spatial distribution of sand bodies. Hence, this method for predicting sand body geometry might help in field development planning as well as in reducing exploration risk.

show abstract

Section: Spectral Decompositionmentioning

confidence: 99%

Application of seismic attribute analysis in fluvial seismic geomorphology

Hossain

2019

J Petrol Explor Prod Technol

View full text Add to dashboard Cite

show abstract

“…Spectral decomposition can visualize seismic data into different phase and amplitude components as a function of frequency and time (Zhang et al, 2009). Frequency decreases while velocity increases as seismic wave penetrate deeper section (Table 2).…”

Section: Spectral Decompositionmentioning

confidence: 99%

Exploration potential for stratigraphic traps in Field X, Malay Basin

Malik¹,

Lo²,

Rafek³

2018

bgsm

View full text Add to dashboard Cite

Interpretation and recognition of stratigraphic features using 3-D seismic data requires good understanding on structural geology, geophysics and stratigraphy. The objective was to re-evaluate the hydrocarbon potential in Field X, Malay Basin focusing on the Early to Middle Miocene succession. The field is located offshore about 200+ km northeast from the Kemaman supply base, Terengganu. Based on the generated time slice of the seismic attribute, several geomorphological features were observed including channel direction, type of channels, sinuosity, channel width, meandering wavelength, crevasse splay and point bar within Group F, H and I formation. The fluvial sandstone might be promising for stratigraphic hydrocarbon traps for Field X since this field is in low structural traps as confirmed by previous exploration. Furthermore, high resolution 3D seismic data assisted the author in diagnosing the depositional environment and predicting the channel pattern throughout the vertical seismic successions. The identification of reservoir potential was determined through several methods such as seismic interpretation, well log correlation, attribute analysis and spectral decomposition. Subtle feature in seismic slices became more visible through spectral decomposition. Finally, structural modeling aided the interpreter in the interpretation of the seismic section as well as reducing the geological uncertainty of the field.

show abstract

“…Zhao, Johnston, and Gouveia () and Zhang et al . () have shown the various applications that time–frequency transforms can have in analysing various seismic dataset types for various different attributes. Time–frequency transforms have also been used for spectral based attenuation estimation schemes (Reine, van der Baan, and Clark ).…”

Section: Introductionmentioning

confidence: 99%

The estimation of spectra from time‐frequency transforms for use in attenuation studies

Beckwith

Clark

Hodgson

2016

Geophysical Prospecting

View full text Add to dashboard Cite

We introduce the signal dependent time–frequency distribution, which is a time–frequency distribution that allows the user to optimize the tradeoff between joint time–frequency resolution and suppression of transform artefacts. The signal‐dependent time–frequency distribution, as well as the short‐time Fourier transform, Stockwell transform, and the Fourier transform are analysed for their ability to estimate the spectrum of a known wavelet used in a tuning wedge model. Next, the signal‐dependent time–frequency distribution, and fixed‐ and variable‐window transforms are used to estimate spectra from a zero‐offset synthetic seismogram. Attenuation is estimated from the associated spectral ratio curves, and the accuracy of the results is compared. The synthetic consisted of six pairs of strong reflections, based on real well‐log data, with a modeled intrinsic attenuation value of 1000/Q = 20. The signal‐dependent time–frequency distribution was the only time–frequency transform found to produce spectra that estimated consistent attenuation values, with an average of 1000/Q = 26±2; results from the fixed‐ and variable‐window transforms were 24±17 and 39±10, respectively. Finally, all three time–frequency transforms were used in a pre‐stack attenuation estimation method (the pre‐stack Q inversion algorithm) applied to a gather from a North Sea seismic dataset, to estimate attenuation between nine different strong reflections. In this case, the signal‐dependent time‐frequency distribution produced spectra more consistent with the constant‐Q model of attenuation assumed in the pre‐stack attenuation estimation algorithm: the average L1 residuals of the spectral ratio surfaces from the theoretical constant‐Q expectation for the signal‐dependent time‐frequency distribution, short‐time Fourier transform, and Stockwell transform were 0.12, 0.21, and 0.33, respectively. Based on the results shown, the signal‐dependent time‐frequency distribution is a time–frequency distribution that can provide more accurate and precise estimations of the amplitude spectrum of a reflection, due to a higher attainable time–frequency resolution.

show abstract

Spectral decomposition illumination of reservoir facies

Cited by 7 publications

References 11 publications

Application of seismic attribute analysis in fluvial seismic geomorphology

Application of seismic attribute analysis in fluvial seismic geomorphology

Exploration potential for stratigraphic traps in Field X, Malay Basin

The estimation of spectra from time‐frequency transforms for use in attenuation studies

Contact Info

Product

Resources

About