Analysis of amplitude versus offset to detect gas/oil contacts in the Arabian Gulf

Chiburis, E. F.

doi:10.1190/1.1894130

Cited by 19 publications

(4 citation statements)

References 1 publication

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“…In Figure 10, amplitude decreases with increase of offset having negative intercept and gradient for hydrocarbon, while amplitude gradually increases with increase in offset. The product of the intercept and gradient is negative indicating brine-bearing sands [31]. AVO Class 3 has been observed in the interval 1900 ms and 2000 ms.…”

Section: Angle Versus Offset (Avo)mentioning

confidence: 94%

AVO Modelling of the South-East Niger Delta, Nigeria

JE¹

2014

J Geophys Remote Sens

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Amplitude Versus Offset (AVO) modelling was carried out using pre-stack seismic and well-log data in the southeast Coastal Swamp of Niger Delta. The results of the work demonstrated that seismic pres-stack and well-log data provided valuable information in modelling a reservoir and other important intervals in wells. Amplitude-Versus-Angle (AVA)/ Amplitude-Versus-Offset (AVO) extracted from pre-stack seismic data identified gas sand of AVO Class 3 type. Sandshale lithology is deduced, with sandstone volume decreasing with increasing depth, while shale volume increases with depth. Porosity and permeability showed decreasing trend with depth for both sandstone and shale units. Velocity, GR (API), Poisson's ratio, V p /V s and density increase with increasing depth. Compressional-velocity V p and shear-wave V s are linearly related, and mudrock line equation is established for the study area: V p =0.807Vs+1.600. The results of this work can be used as an Exploration tool for the identification or evaluation of prospective areas, locations and also for feasibility studies during an appraisal activity.

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Section: Angle Versus Offset (Avo)mentioning

confidence: 94%

AVO Modelling of the South-East Niger Delta, Nigeria

JE¹

2014

J Geophys Remote Sens

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“…For applications on raw seismic data, pre-stack seismic data processed typically for AVA/AVO analyses using the workflows given by Ostrander (1984), Chiburis (1984), Backus, 1993, Grossman (2003) and Zhang et al (2014), are required along with well-log and any ancillary laboratory information. The petrophysical analysis of well-log data and laboratory measurements will provide the basic input parameters required to perform the Rock Physics Modelling necessary to obtain the effective elastic properties of the gas sand reservoir.…”

Section: Applications On Raw Seismic Datamentioning

confidence: 99%

The accuracy of AVA approximations in isotropic media assessed via synthetic numerical experiments: Implications for the determination of porosity

Abbasi

Ali

Alves

et al. 2018

Journal of Petroleum Science and Engineering

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“…In 1970s, applying "bright spot" technique to find gas made a success. Since then, pre-stack attribute inversions like AVO inversion [10,11], elastic impedance inversion [12,13] has been developed and achieved remarkable economic benefits. However, these technologies also have some limits.…”

Section: Introductionmentioning

confidence: 99%

Pre-stack and post-stack seismic for detecting oil and gas based on dual-phase medium theory

Zhang¹,

Wang²,

Sun³

2016

Proceedings of the 2016 3rd International Conference on Mechatronics and Information Technology

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It is observed that oil and gas reserviors exhibit high seismic wave attenuation. Through extracting the attenuation of seismic wave can detect oil and gas. On the basis of Biot's poroelastic theory, through formula derivation and analysis, we proposed a hydrocarbon detection method based on dual-phase medium theory using pre-stack and post-stack seismic. The inversion results of pre-stack and post-stack field data show that middle offset data for hydrocarbon detection is the best one, and post-stack data take the second place. Near offset data and far offset data are helpful for detecting none and high oil production areas as a supplementary information. Through comparing the results of pre-stack and post-stack data for hydrocarbon detection, we can improve the precision of using seismic to detect oil and gas.

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Analysis of amplitude versus offset to detect gas/oil contacts in the Arabian Gulf

Cited by 19 publications

References 1 publication

AVO Modelling of the South-East Niger Delta, Nigeria

AVO Modelling of the South-East Niger Delta, Nigeria

The accuracy of AVA approximations in isotropic media assessed via synthetic numerical experiments: Implications for the determination of porosity

Pre-stack and post-stack seismic for detecting oil and gas based on dual-phase medium theory

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