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Quantative Interpretation Of Seismic Data Using Well Logs

Authors: E.C.A. Gevers; S.W. Watson;

Quantative Interpretation Of Seismic Data Using Well Logs

Abstract

Abstract Seismic and petrophysical data sets are processed to acoustic impedance. The petrophysical processing is divided into three phases. The first involves the preparation of a depth-sampled acoustic-impedance log corrected for environmental effects. Re-sampling in time and band limitation of the acoustic-impedance log yields at the end of second-phase processing a synthetic seismic trace that can be used to identify lithological units on a seismic section. Third-phase processing provides the information necessary for interpreting seismic-amplitude values. As an example, the loop associated with a potential reservoir sand is identified and traced along several seismic sections. Amplitude measurements taken from this loop are interpreted in terms of expected fluid content, and a porefill-distribution map of the reservoir is constructed. Introduction Recent improvements in seismic data acquisition and processing have produced a seismic trace which, in favourable cases, closely resembles an acoustic-impedance log (product of velocity and density logs) through the earth. These acoustic-impedance profiles can be interpreted in terms of lithology and porefill. A prerequisite for such detailed analysis is that a data learning set should be available. In the Royal Dutch/Shell Group the necessary information is derived from petrophysical well logs and geological data. In this paper we shall describe the integration of seismic and petrophysical/geological knowledge to detect and map areas of hydrocarbon-bearing sands developed in a marginal marine facies in the depth range 7 000 - 10 000 ft (2 134 - 3 548 m). Emphasis will be given to petrophysical data processing, which we shall divide into three parts. First-phase processing leads to an acoustic-impedance log sampled in depth and characterizing the formation undisturbed by the drilling process. Second-phase processing involves comparing band-limited acoustic impedance logs in the time domain with seismic acoustic-impedance traces around the well location. A positive identification of lithological units on the seismic sections affords the possibility of quantitatively analyzing the seismic data. In order to be able to interpret the analysis results, third-phase processing is necessary. The adopted method gives also the nature of the hydrocarbon-fill, provided that allowance is made for fluctuations in reservoir quality and that there is sufficient acoustic-impedance contrast between oil-filled and gas-filled sands. The minimum acoustic-impedance contrast resolvable is dictated by the noise content and frequency bandwidth of the seismic signal. Geological Background The hydrocarbon reserves in the field under investigation are contained in roll-over structures that are associated with growth faults. The host sediments are marginal marine deposits of Upper Tertiary age consisting of a large number of sedimentary offlap cycles each of which starts with a marine clay and progressively changes upwards into proximal fluviomarine interlaminated silts, sands and clays. First-Phase Petrophysical Processing The digitized well logs with a sampling increment of 0.5 ft (152 mm) were inspected for digitisation and calibration errors1, noise spikes, cycle skips2, wash-outs, shale-alteration effects and filtrate-invasion effects, and the necessary correction procedures implemented along the lines of the methods described by Dominico3 and Ausburn4.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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