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The AAPG/Datapages Combined Publications Database

AAPG Bulletin

Abstract

AAPG Bulletin, V. 90, No. 12 (December 2006), P. 1869-1882.

Copyright copy2006. The American Association of Petroleum Geologists. All rights reserved.

DOI:10.1306/06140605099

Sequence-stratigraphic analysis using well cuttings, Mississippian Greenbrier Group, West Virginia

Thomas C. Wynn,1 J. Fred Read2

1Department of Geosciences, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061; present address: Department of Geology and Physics, Lock Haven University, Lock Haven, Pennsylvania 17745; [email protected]
2Department of Geosciences, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061

ABSTRACT

Well-cuttings analysis predates modern carbonate facies analysis, sequence stratigraphy, seismic reflection surveys, and advanced geophysical logging techniques. These newer methods have resulted in well cuttings becoming less important as a major source of data for high-resolution subsurface analysis. Binocular analysis of well-indurated Paleozoic well cuttings can be used to construct detailed vertical facies successions in wells when tied to wire-line logs. Facies analysis can then be used to construct higher resolution sequence-stratigraphic frameworks and time-slice maps. This approach was tested on Mississippian carbonates in the Appalachian Basin of West Virginia. The analysis was done using the washed coarse fraction (1–2 mm; 0.04–0.08 in.) of the cuttings for each sample interval, classified according to Dunham rock type, counted to determine relative abundance, and plotted as percent lithology versus depth for each well. Digitized wire-line logs and the cuttings-percent logs were adjusted (typically 10 ft [3 m] or so) to consider drilling lag, lithologic columns were produced from the combined data, and sequences were picked. Gamma-ray markers were used to correlate the sections, and sequence-stratigraphic cross sections were produced. Time-slice maps were generated that show the thickness of the individual sequences and the distribution of major facies within systems tracts. This approach generated a rock-based, high-resolution sequence framework for the reservoir and led to a much better understanding of controls on the distribution and stacking of reservoirs.

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