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The AAPG/Datapages Combined Publications Database

AAPG Special Volumes

Abstract


Pub. Id: A165 (1977)

First Page: 417

Last Page: 438

Book Title: M 26: Previous HitSeismicNext Hit Stratigraphy--Applications to Hydrocarbon Exploration

Article/Chapter: Geologic Considerations for Stratigraphic Modeling and Interpretation: Section 3. Stratigraphic Models from Previous HitSeismicNext Hit Data

Subject Group: Previous HitSeismicNext Hit Stratigraphy, Sequence Stratigraphy

Spec. Pub. Type: Memoir

Pub. Year: 1977

Author(s): L. D. Meckel Jr. (2), A. K. Nath (3)

Abstract:

Previous HitSeismicNext Hit modeling techniques are attempts to mathematically and geometrically represent subsurface geology and to depict the Previous HitseismicNext Hit response of that geology to a propagating wavefront. In this context, modeling has become an important exploration tool (1) to test the mappability of a geologic concept, (2) to analyze the impact of expected geologic variability (porosity, thickness, etc.) on the Previous HitseismicNext Hit response, and (3) to evaluate the significance of event reflectivity changes, or anomalies, on uncalibrated Previous HitseismicNext Hit data.

Traditionally Previous HitseismicNext Hit data were used to identify events to map subsurface structure (faults, folds, noses) or large scale depositional geometries (pinnacle reefs, unconformities). To accomplish this, it was important to strengthen weak Previous HitseismicNext Hit events during processing of the recorded signals. Therefore, variations in signal strength (true amplitude) were purposely eliminated to accentuate event visibility.

Today one realizes that valuable geologic information is encoded into the shape, polarity, and true amplitude of the reflection. Where calibrated, it is possible to deduce important rock-fluid information from true amplitude Previous HitseismicNext Hit data. The information may be Previous HitlithologyTop changes indicating the reservoir boundary (and thus the trap), or fluid changes directly indicating the actual hydrocarbon accumulation. For the explorationist, this becomes another measurement tool and one with significant predictive value. The predictive value is vastly improved where subsurface response can be calibrated to rock-fluid data, preferably logs and rock samples. Modeling becomes an important vehicle to establish this calibration.

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