1996AAPG BulletinRequires access

High-ResoIution Stratigraphy of the Green River Formation, NE Uinta Basin: Implications for Red Wash Reservoir Compartmentalization: ABSTRACT

Mary L. McPherson Jim M. Borer

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Abstract

An extensive subsurface data base from the Greater Red Wash area and outcrops 4-8 miles from main producing areas are used to construct a high-resolution correlation framework for the lowerpart of the Eocene lacustrine Green River Formation. An orthogonal grid of 29 cross-sections and 11 cores comprise the subsurface database. The outcrop database consists of 12 measured sections (7,500 ft) along an oblique depositional dip profile at Raven Ridge. Outcrop gamma ray profiles collected for 4600 ft of the measured sections allow for a good outcrop to subsurface tie and provide a calibration set for interpreting subsurface log patterns. The correlation framework is based on the identification of a hierarchical set (4 scales) of base-level cycles (changes in accommodation to sediment supply ratio). Cycle stacking patterns (lakeward-stepping, vertically-stacked and landward-stepping) provide the chronostratigraphic framework to properly evaluate depositional facies. For mapping reservoir zones, medium-scale maximum flooding surfaces (base-level rise-to-fall turnarounds) are the most useful correlation surfaces. To better understand depositional facies and heterogeneity within cycles or reservoir zones, base-level fall-to-rise surfaces are correlated in outcrop sections. This allows for the evaluation of sediment volume partitioning and facies differentiation between base-level fall and base-level rise parts of cycles at all scales.more » Facies indicate a steep-gradient (high-subsidence), high-energy, storm-dominated, lacustrine shoreface profile. Best reservoirs are stacked shoreface cycles (25-35 ft thick) and occur during long-term base-level fall. Reservoir facies are restricted to upper and middle shoreface, through and hummocky cross-stratified sandstones. Another important reservoir facies is massive dispersed-pebble sandstone interpreted as high-density sediment gravity flows.« less

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An extensive subsurface data base from the Greater Red Wash area and outcrops 4-8 miles from main producing areas are used to construct a high-resolution correlation framework for the lowerpart of the Eocene lacustrine Green River Formation. An orthogonal grid of 29 cross-sections and 11 cores comprise the subsurface database. The outcrop database consists of 12 measured sections (7,500 ft) along an oblique depositional dip profile at Raven Ridge. Outcrop gamma ray profiles collected for 4600 ft of the measured sections allow for a good outcrop to subsurface tie and provide a calibration set for interpreting subsurface log patterns. The correlation framework is based on the identification of a hierarchical set (4 scales) of base-level cycles (changes in accommodation to sediment supply ratio). Cycle stacking patterns (lakeward-stepping, vertically-stacked and landward-stepping) provide the chronostratigraphic framework to properly evaluate depositional facies. For mapping reservoir zones, medium-scale maximum flooding surfaces (base-level rise-to-fall turnarounds) are the most useful correlation surfaces. To better understand depositional facies and heterogeneity within cycles or reservoir zones, base-level fall-to-rise surfaces are correlated in outcrop sections. This allows for the evaluation of sediment volume partitioning and facies differentiation between base-level fall and base-level rise parts of cycles at all scales.more » Facies indicate a steep-gradient (high-subsidence), high-energy, storm-dominated, lacustrine shoreface profile. Best reservoirs are stacked shoreface cycles (25-35 ft thick) and occur during long-term base-level fall. Reservoir facies are restricted to upper and middle shoreface, through and hummocky cross-stratified sandstones. Another important reservoir facies is massive dispersed-pebble sandstone interpreted as high-density sediment gravity flows.« less

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Available abstract

An extensive subsurface data base from the Greater Red Wash area and outcrops 4-8 miles from main producing areas are used to construct a high-resolution correlation framework for the lowerpart of the Eocene lacustrine Green River Formation. An orthogonal grid of 29 cross-sections and 11 cores comprise the subsurface database. The outcrop database consists of 12 measured sections (7,500 ft) along an oblique depositional dip profile at Raven Ridge. Outcrop gamma ray profiles collected for 4600 ft of the measured sections allow for a good outcrop to subsurface tie and provide a calibration set for interpreting subsurface log patterns. The correlation framework is based on the identification of a hierarchical set (4 scales) of base-level cycles (changes in accommodation to sediment supply ratio). Cycle stacking patterns (lakeward-stepping, vertically-stacked and landward-stepping) provide the chronostratigraphic framework to properly evaluate depositional facies. For mapping reservoir zones, medium-scale maximum flooding surfaces (base-level rise-to-fall turnarounds) are the most useful correlation surfaces. To better understand depositional facies and heterogeneity within cycles or reservoir zones, base-level fall-to-rise surfaces are correlated in outcrop sections. This allows for the evaluation of sediment volume partitioning and facies differentiation between base-level fall and base-level rise parts of cycles at all scales.more » Facies indicate a steep-gradient (high-subsidence), high-energy, storm-dominated, lacustrine shoreface profile. Best reservoirs are stacked shoreface cycles (25-35 ft thick) and occur during long-term base-level fall. Reservoir facies are restricted to upper and middle shoreface, through and hummocky cross-stratified sandstones. Another important reservoir facies is massive dispersed-pebble sandstone interpreted as high-density sediment gravity flows.« less

Key concepts: Compartmentalization (fire protection), Geology, Green River Formation, Stratigraphy, Structural basin, Paleontology, Geochemistry, Tectonics

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