Erin Campbell-Stone
University of Wyoming
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Featured researches published by Erin Campbell-Stone.
Tectonics | 2000
Erin Campbell-Stone; Barbara E. John; David A. Foster; John W. Geissman; Richard F. Livaccari
The Colorado River extensional corridor (CREC) accommodated up to 100% crustal extension between ∼23 and 12 Ma. The southernmost Sacramento Mountains core complex lies within this region of extreme extension and exposes a footwall of Proterozoic, Mesozoic, and Miocene crystalline rocks as well as Miocene volcanic and sedimentary rocks in the hanging wall to the regionally developed Chemehuevi-Sacramento detachment fault (CSDF) system. New structural, U-Pb-zircon, Ar-Ar, and fission track geochronologic and paleomagnetic studies detail the episodic character of both magmatic and tectonic extension in this region. Extension in this part of the CREC was initiated with tectonic slip along a detachment fault system at a depth between 10 and 15 km. Magmatic extension at these crustal levels began at ∼20–19 Ma and directly account for 5–18 km of extension (10–20% of total extension) in the southern Sacramento Mountains. Three discrete magmatic episodes record rotation of the least principal stress direction, in the horizontal plane, from 55° to 15° over the following ∼3 Myr. The three intrusions bear brittle and semibrittle fabrics and show no crystal-plastic fabric development. The final 3–4 Myr of stretching were dominated by amagmatic or tectonic extension along a detachment fault system, with extension directions rotating back toward 75°. The data are consistent with extremely rapid cooling and uplift of Miocene footwall rocks; the ∼19 Ma Sacram suite was emplaced at a mean pressure of ∼3.0 kbars and uplifted rapidly to a level in the crust where brittle deformation was manifested by movement on the detachment fault at ∼16 Ma. By ∼14 Ma the footwall was exposed at the surface, with detritus shed off and deposited in adjacent hanging wall basins.
Interpretation | 2015
Dario Grana; Kristen Schlanser; Erin Campbell-Stone
Log-facies classification at the well location allows determination of the number of facies, the facies definition, and the correlation between facies and rock properties along the well profile. In unconventional reservoirs, because of the necessity for hydraulic fracturing in shale gas and shale oil reservoirs, facies classification should account for petroelastic and geomechanical properties. We developed a facies classification methodology based on the expectation-maximization algorithm, a statistical method that allows finding the most likely facies classification and the associated probability distribution, given the set of geophysical measurements in the borehole. We applied the proposed workflow to a complete set of well logs from the Marcellus shale and developed the corresponding facies classification from log properties measured and computed in three different domains: petrophysics, rock physics, and geomechanics. In thne preliminary well-log and rock-physics analysis, we identify three main lithofacies: limestone, shale, and sandstone. The application of the classification method provided the vertical sequence of the three lithofacies and their pointwise probability of occurrence. A sensitivity analysis was finally evaluated to investigate the impact of the number of input variables on the classification and the effects of cementation and kerogen.
Energy Procedia | 2011
Erin Campbell-Stone; Ranie Lynds; Carol D. Frost; Thomas P. Becker; Bridget Diem
International Geology Review | 2002
Erin Campbell-Stone; Barbara E. John
Rocky Mountain Geology | 2010
Ranie Lynds; Erin Campbell-Stone; Thomas P. Becker; Carol D. Frost
Geophysics | 2017
Subhashis Mallick; Debraj Mukherjee; Luke Shafer; Erin Campbell-Stone
Seg Technical Program Expanded Abstracts | 2014
Kristen Schlanser; Dario Grana; Erin Campbell-Stone
Rocky Mountain Geology | 2014
Paul Karl Link; Robert C. Mahon; Luke P. Beranek; Erin Campbell-Stone; Ranie Lynds
Seg Technical Program Expanded Abstracts | 2015
Wenting Wu; Dario Grana; Erin Campbell-Stone; Fred McLaughlin
Seg Technical Program Expanded Abstracts | 2012
Debraj Mukherjee; Subhashis Mallick; Luke Shafer; Erin Campbell-Stone