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- W2007404713 abstract "Seismic amplitude anomalies play an important role in the Deep Water Gulf of Mexico. Does that updip brightening of a seismic reflector indicate hydrocarbons are present? If so, is it oil or gas? This note describes an algorithm that has been developed to address these questions. It does not answer “yes” or “no” to the presence of hydrocarbons, but estimates the probability of occurrence. The inspiration for this algorithm came from a paper by Cram and Berkhout (1980). We liked their idea of combining rock properties information from the well logs with seismic information to estimate the probability of hydrocarbons in a target interval. Our work differs from theirs in the following ways. For the seismic input, we use estimates of the acoustic impedance from the seismic data, rather than the ratio of the relative log of acoustic impedance in the target zone to a “background” value. Their paper made no explicit mention of how to weight the different lithology-fluid classifications. We found that Bayes’ Theorem provides a natural framework for this problem. A recent extension of the work by Crans and Berkhout by Lortzer and Berkhout (1992) also takes a Baysian approach. We believe our formulation of the problem lies between these other two in sophistication." @default.
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- W2007404713 date "1992-01-01" @default.
- W2007404713 modified "2023-09-25" @default.
- W2007404713 title "Estimating the probability of hydrocarbons in deep water Gulf of Mexico using seismic inversion and petrophysical rock properties" @default.
- W2007404713 cites W2152957974 @default.
- W2007404713 doi "https://doi.org/10.1190/1.1822245" @default.
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