Extended Elastic Impedance and Its Relation to AVO Crossplotting and Vp/Vs

Hicks, G.; Francis, Ashley

doi:10.3997/2214-4609.201402386

Cited by 14 publications

(3 citation statements)

References 3 publications

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“…Even though Hicks (2006) found that theoretically, there should be an improvement in gas and brine sand discrimination with EEI, the inversion data with the ultra-far ranges included had significantly lower frequency as shown in Figure 12 and was not utilized for sand delineation. Another issue is estimating the possibility of thin-bedded overbank sand reservoir with gas.…”

Section: Geophysical Interpretation Of the Gas Filled Channel Sand Oumentioning

confidence: 99%

Application of Seismic Attributes in Estimating Gas Resources in Complex Fluvial Channel Reservoirs

et al. 2013

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The purpose of this paper is to show the reserve estimation procedures used by KUFPEC on the NW Shelf of Australia production license WA-49-L, which is currently under development as part of the Chevron's Wheatstone LNG project. The gas in the WA-49-L permit was discovered in a combination of structural and stratigraphic traps of a regional fluvial channel sand complex within the Triassic Mungaroo Formation. These channel sands contain gas trapped on a large structural ridge with up-dip terminations below a regional, angular unconformity and overlain by the Cretaceous Muderong Shale. Some of the deeper channel sands are trapped against the bounding fault of the ridge. These channel sands are stacked as a result of amalgamation of numerous channels, with the individual sand thickness of up to 60 meters but typically in the 15 to 30 meters range. These channel sands are discrete with individual gas-water-contacts, and clearly visible on seismic and inversion data as low impedance, Class 3 AVO (amplitude versus offset) anomalies.The estimation of gas resources is delineated by 20 wells drilled through April 2011 on WA-49-L. Limitations of the seismic frequency content result in channel thicknesses of less than 5 meters not being visible. Seismic inversion attributes are used to estimate gas sand probability, sand thickness and porosity. Rather than using large scale net-to-gross assumptions commonly used in the industry for reserves calculations, KUFPEC used maps of individual sand bodies based on the inversion impedance amplitudes and gas sand probability (GSP) attributes to compute each sands' likely range of resources values.

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Section: Geophysical Interpretation Of the Gas Filled Channel Sand Oumentioning

confidence: 99%

Application of Seismic Attributes in Estimating Gas Resources in Complex Fluvial Channel Reservoirs

et al. 2013

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“…That is why this angle is considered as the minimum energy angle. The computed EEI at this angle is also called the background EEI (Hicks and Francis 2006).…”

Section: Facies Distributionmentioning

confidence: 99%

“…The minimum energy angle (v 0 ) (Hicks and Francis 2006) is the angle at which reflectivity of the two-term AVO approximation is zero. The equivalent h angle of v 0 is commonly beyond the range of recorded seismic, but if it happens to be within the recorded angle of seismic gather, one might expect to see a phase reversal of seismic reflection.…”

Section: Background Theory Extended Elastic Impedancementioning

confidence: 99%

Reservoir properties prediction using extended elastic impedance: the case of Nianga field of West African Congo basin

Samba

Lü

Habib

2017

J Petrol Explor Prod Technol

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Simultaneous seismic inversion and extended elastic impedance (EEI) were applied to obtain quantitative estimates of porosity, water saturation, and shale volume over Nianga field of Congo basin, West Africa. The optimum angle at which EEI log and the target petrophysical parameter give the maximum correlation was meticulously analyzed by additionally incorporating the concept of relative rock physics. Prestack seismic data were simultaneously inverted into Vp, acoustic, and gradient impedances. The last two broadband inverted volumes were projected to Chi angles corresponding to the target petrophysical parameters, and three broadband EEI volumes were obtained. At well control points, the linear trends based on specific lithology between EEI and petrophysical parameters were then used to transform EEI volumes into quantitative porosity, water saturation, and shale volume cubes. In order to obtain the reservoir facies distribution, another concept of minimum energy angle was used to generate the background EEI cube, thereby enabling the mapping of reservoir facies. From quantitative porosity, water saturation, shale content, and background EEI cubes, favorable zones have been pinpointed which may suggest possible drilling locations for future development of the field.

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Imaging and interpretation: Seismic, rock physics and image log analysis workflows for deepwater systems

Verma

Bhattacharya

Fett

et al. 2022

Deepwater Sedimentary Systems

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Extended Elastic Impedance and Its Relation to AVO Crossplotting and Vp/Vs

Cited by 14 publications

References 3 publications

Application of Seismic Attributes in Estimating Gas Resources in Complex Fluvial Channel Reservoirs

Application of Seismic Attributes in Estimating Gas Resources in Complex Fluvial Channel Reservoirs

Reservoir properties prediction using extended elastic impedance: the case of Nianga field of West African Congo basin

Imaging and interpretation: Seismic, rock physics and image log analysis workflows for deepwater systems

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