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Record W3121620419 · doi:10.1190/int-2020-0135.1

Seismic illumination of small-throw seismogenic faults, Anadarko Basin, Oklahoma

2021· article· en· W3121620419 on OpenAlex
Swetal Patel, Folarin Kolawole, J. I. Walter, Xiaowei Chen, Kurt J. Marfurt

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInterpretation · 2021
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsGeologySeismologyInduced seismicityBasementFault (geology)Structural basinGeophysical imagingGeomorphology

Abstract

fetched live from OpenAlex

Substantial increase in the occurrence of injection-induced seismicity across Central and Eastern United States in the past decade, has highlighted a need for novel approaches to geophysical subsurface imaging of potentially seismogenic faults. Active clusters of seismicity illuminate linear fault segments within the sedimentary cover and crystalline basement that were unknown until seismicity began. Such surprises are due to the limited availability of 3D seismic reflection surveys and the difficulty of imaging relatively shallow earthquake events from sparse seismic monitoring arrays. The Sooner Trend Anadarko Basin Canadian Kingfisher Counties (STACK) play of the Anadarko Basin, Oklahoma, provides an opportunity to investigate these earthquake-prone basement faults. Modern high-quality seismic data acquired to map unconventional resource plays in the STACK enable us to assess the detailed subsurface structure. Furthermore, because of increased earthquake risk from anthropogenic activities in the past decade, state regulatory agencies have deployed a dense array of seismic monitoring stations, which allows us to integrate earthquake data with seismic reflection data for analysis of active faulting. We have mapped structural deformation using a suite of seismic attributes, including multispectral coherence, volumetric curvature, and aberrancy, in a 3D seismic reflection data set covering 625 sq mi of the STACK area. To unravel the relationship between the structures and seismicity, we use relocated locally recorded earthquakes and compute the focal mechanism solution for the events. Our results reveal previously unmapped small-throw (<120 m) fault segments with dominant north–south, northwest, and northeast trends, most of which extend from the basement up into the shallower sedimentary Hunton and Woodford Formations. Because of the small offset, we find that aberrancy and the curvature attribute best illuminate the basement-rooted faults in the sedimentary cover. Fault segments with significant vertical offset are better illuminated by band-limited multispectral coherence. We argue that the inherited structure of these faults makes them mostly illuminable by flexure-related seismic attributes, especially within the sedimentary cover. The integration of the illuminated faults with relocated earthquakes and focal mechanism solutions shows that the illuminated faults that have hosted intrasedimentary and/or basement seismicity are reactivated by strike-slip faulting. We hypothesize that careful attribute mapping of faults and related flexures, integrated with recent seismic activity data, and an understanding of the local stress and geomechanical properties, can help mitigate seismic hazards in similar intraplate geological settings where small-throw faults predominate.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.902
Threshold uncertainty score0.908

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.214
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it