We integrate new high-resolution aeromagnetic data with seismic reflection data, well logs, satellite remote sensing, and field observations to provide a regional view of buried and exposed structures in the Southern Oklahoma Aulacogen and to assess their potential for future seismicity. Trends ranging from NW−SE to ∼E−W, peaking at 330° ± 4.5° and 280° ± 3°, dominate the magnetic lineaments of the Southern Oklahoma Aulacogen, reflecting basement contacts, dikes, and faults, including a previously unmapped ∼100-km-long basement fault, which is herein referred to as the Willow fault. The fault disrupts, truncates, and vertically offsets basement-related seismic reflectors and overlying Paleozoic strata up through the Permian reflectors. Surface deformation along the trend includes fault-parallel monoclinal folds, pervasive fractures, and fracture-hosted mud dikes in Permian evaporite units. These structures indicate a Permian or post-Permian reactivation of the fault. Along-strike, the Willow fault connects to the NW-trending, seismically active Meers Fault to comprise the ∼180-km-long Meers-Willow fault system, which potentially represents a major seismic hazard along the Southern Oklahoma Aulacogen. Fault slip potential analyses of the mapped potential fault traces show that seismic hazards are elevated where faults have steeper dips. Given some uncertainty in the regional stress state, we also show that hazards along the NW−SE to E−W trending faults vary considerably within the uncertainty range. We propose that the Meers-Willow fault system originated as a Cambrian aulacogen-scale, basement-rooted fault that was later reactivated as a left-lateral strike-slip fault (with ∼40 km displacement) during the late Paleozoic Ancestral Rocky Mountain orogeny, highlighting that lateral offset accommodated a major component of deformation during the orogen.
Habanero Java (HJ), a mid-level concurrent language, provides several correctness advantages if it is data race free: deadlock freedom, determinism, serialization, etc. An HJ program execution can only demonstrate data race freedom for one scheduling path, but the correctness property only holds if it is data race free for all paths. Verifying an HJ program with a tool such as Java Path Finder (JPF) for complete data race freedom is time and memory consuming because of the numerous JPF state expansions. This paper provides a small, stand-alone, alternative, HJ verification runtime (VR) that is more suited for verification in JPF. Additionally, this paper presents an alternative JPF scheduler that will explore only relevant HJ related scheduling paths in the VR. Finally, this paper shows state expansion results in JPF using HJ benchmarks with the HJ library, VR with and without the scheduler. The results indicate a reduction using the VR with the schedule when compared to the HJ runtime.
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