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Journal ArticleDOI

Detection of gas in sandstone reservoirs using AVO analysis: A 3-D seismic case history using the Geostack technique

Jan L. Fatti, +4 more
- 01 Sep 1994 - 
- Vol. 59, Iss: 9, pp 1362-1376
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TLDR
In this article, the authors found that anomalously high amplitude fluid factormore reflections occurred at the top and base of the gas-reservoir sandstone and that the highest amplitude values were restricted mainly to the gas field area as determined by drilling.
Abstract
The Geostack technique is a method of analyzing seismic amplitude variation with offset (AVO) information. One of the outputs of the analysis is a set of direct hydrocarbon indicator traces called fluid factor traces. The fluid factor trace is designed to be low amplitude for all reflectors in a clastic sedimentary sequence except for rocks that lie off the mudrock line. The mudrock line is the line on a crossplot of P-wave velocity against S-wave velocity on which water-saturated sandstones, shales, and siltstones lie. Some of the rock types that lie off the mudrock line are gas-saturated sandstones, carbonates, and igneous rocks. In the absence of carbonates and igneous rocks, high amplitude reflections on fluid factor traces would be expected to represent gas-saturated sandstones. Of course, this relationship does not apply exactly in nature, and the extent to which the mudrock line model applies varies from area to area. However, it is a useful model in many basins of the world, including the one studied here. Geostack processing has been done on a 3-D seismic data set over the Mossel Bay gas field on the southern continental shelf of South Africa. The authors found that anomalously high amplitude fluid factormore » reflections occurred at the top and base of the gas-reservoir sandstone. Maps were made of the amplitude of these fluid factor reflections, and it was found that the high amplitude values were restricted mainly to the gas field area as determined by drilling. The highest amplitudes were found to be located roughly in the areas of best reservoir quality (i.e., highest porosity) in areas where the reservoir is relatively thick.« less

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Citations
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Book

Quantitative Seismic Interpretation: Applying Rock Physics Tools to Reduce Interpretation Risk

TL;DR: In this paper, the authors present a statistical rock physics approach combining rock physics, information theory, and statistics to reduce uncertainty in seismic data. But they do not discuss the use of statistical methods for quantitative seismic interpretation.
Proceedings ArticleDOI

Improved AVO Fluid Detection And Lithology Discrimination Using Lamé Petrophysical Parameters; “λρ”, μρ, λμ Fluid Stack”, From P And S Inversions.

TL;DR: In this paper, the authors proposed to use modulii/density relationships to velocities V or impedances I, given as; + and These relationships enable extraction of the orthogonal Lame parameters and from logs with measured density or and from seismic without known density.
Proceedings ArticleDOI

Simultaneous Inversion of Pre-stack Seismic Data

TL;DR: In this paper, a new approach to the simultaneous pre-stack inversion of PP and PS angle gathers for the estimation of P-impedance, S-impulse, and density is presented.
Journal ArticleDOI

Fluid-property discrimination with AVO: A Biot-Gassmann perspective

TL;DR: In this paper, a general formula is derived for fluid-factor discrimination given that both the P and S impedances are available, which can be expressed with either Lame constants and density, or the bulk and shear moduli and density.
References
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Journal ArticleDOI

Formation velocity and density—the diagnostic basics for stratigraphic traps

TL;DR: In this article, a multiplicity of factors influence seismic reflection coefficients and the observed gravity of typical sedimentary rocks, including the mineral composition and the granular nature of the rock matrix, cementation, porosity, fluid content, and environmental pressure.
Journal ArticleDOI

Relationships between compressional‐wave and shear‐wave velocities in clastic silicate rocks

TL;DR: In this article, the authors analyzed new velocity data in addition to literature data derived from sonic log, seismic, and laboratory measurements for clastic silicate rocks and demonstrated simple systematic relationships between compressional and shear wave velocities.
Journal ArticleDOI

Plane-wave reflection coefficients for gas sands at nonnormal angles of incidence

TL;DR: The P-wave reflection coefficient at an interface separating two media is known to vary with angle of incidence and the manner in which it varies is strongly affected by the relative values of Poisson's ratio in the two media as mentioned in this paper.
Journal ArticleDOI

Amplitude‐versus‐offset variations in gas sands

TL;DR: In this paper, the amplitude-versus-offset (AVO) characteristics of a gas sand reflector were investigated and the two factors that most strongly determine the AVO behavior of gas sand reflections were the normal incidence reflection coefficient R0 and the contrast in Poisson's ratio at the reflector.
Journal ArticleDOI

Weighted stacking for rock property estimation and detection of gas

G.C. Smith, +1 more
TL;DR: In this article, the angle of incidence of a P-wave as a function of time and offset was computed for each sample in a normal moveout corrected CMP gather, which can then be fitted to the amplitudes of all traces at each time sample of the gather, and certain rock properties can be estimated.