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Record W7048667879

Lessons in Earthquake Physics from the 2011 Prague, Oklahoma Earthquake Sequence

2023· other· en· W7048667879 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship (California Digital Library) · 2023
Typeother
Languageen
FieldPhysics and Astronomy
TopicAtomic and Subatomic Physics Research
Canadian institutionsnot available
Fundersnot available
KeywordsInduced seismicityForeshockHydraulic fracturingFault (geology)Pore water pressureOil shaleIntraplate earthquakeAftershockStress fieldSeismic hazard
DOInot available

Abstract

fetched live from OpenAlex

Pore fluid pressure lowers effective normal stress and weakens granular material (Terzaghi, 1936). Because of the “effective stress law”, fault failure can be induced through injection of fluids, as seen at the Rocky Mountain arsenal in the 1960s (Healy et al., 1968). A more definitive field test in Rangely, Colorado, demonstrated that when fluid pressures were raised and lowered in an oil reservoir over 4 years, seismicity rates were raised and lowered as well. Earthquakes occurred when fluid pressure in the reservoir was above ~25 MPa and the study postulated that one day, scientists might be able to control earthquakes along the San Andreas fault (Raleigh et al., 1976). During the 2010s, induced seismicity in Oklahoma rose precipitously due to massive wastewater injection activities. This wastewater is a byproduct of hydraulic fracturing of tight shale reservoirs, which is also known as super fracking (Turcotte et al., 2014). From 2014-2017, Oklahoma had more M3+ earthquakes than California, a state that is both tectonically active and is 2.3 times larger than Oklahoma. The largest mainshock events in Oklahoma history include the 2011 M5.7 Prague, the 2015 M5.1 Fairview, and the 2016 M5.8 Pawnee earthquakes. The Prague sequence also includes an M5 foreshock and M5 aftershock, which are large by induced seismicity standards.While super fracking poses a hazard to humans by polluting drinking water and creating seismicity, it has allowed earthquake scientists to ask and answer fundamental questions about earthquakes. Instead of having to constrain the causes of natural phenomena, the cause of these events is anthropogenic. The following are a few key questions in earthquake physics that can be addressed through induced seismicity studies: 1) Is there a critical pore fluid pressure for fault failure? 2) When a fault fails, what controls the mode of failure, or in other words, why does it fail in a slow (creep) or fast (earthquakes) event? 3) Are measurements of frictional strength in small-scale laboratory experiments relevant to the seismic scale, and if so, how can we use them to understand seismicity? The 2011 Prague, Oklahoma earthquakes are an extremely well-recorded sequence within well-known stratigraphy that allows us to address these questions. Earthquakes within this sequence occur in the Arbuckle group, a permeable carbonate unit where most wastewater is injected, and within the basement granitic rock. These geological units will be important in all three chapters. In addition, this earthquake sequence involved three faults, the Mw5 foreshock fault, the Mw5.7 mainshock fault, and the Mw5 aftershock fault that allows me to probe the role of fault geometry on seismicity.\nIn Chapter 1, I use repeating earthquakes to ask what controls the mode of failure during an aftershock sequence? Repeating earthquakes, i.e. earthquakes that re-rupture the same area over and over again, are proxies for aseismic slip. A group of repeating earthquakes that ruptures the same fault is termed a family of repeating earthquakes. I find that families of repeating earthquakes occur in the Arbuckle Group and the basement granite, and form four main clusters. Three of these clusters occur at fault intersections. Here, I explore reasons why fault intersections might preferentially host aseismic slip. The traditional model of afterslip (slow slip that occurs along a fault after an earthquake) is that it occurs in velocity-strengthening areas that cannot fail seismically due to stress from an adjacent earthquake. Using this model to explain our findings would require extreme heterogeneity of the material properties of nearby slipping patches, and it does not allow for overlapping aseismic and seismic slip patches like we see here. Alternatively, extreme stress heterogeneity at these fault intersections may allow for afterslip in typically unstable areas, which is possible in a non-steady-state rate-state framework. This stress heterogeneity could also allow for earthquakes in typically stable areas when taking into account dynamic weakening. This chapter demonstrates that areas of stress heterogeneity can promote a variety of slip behaviors and that slow slip at fault intersections can promote failure on non-critically stressed faults, such as the fault that hosted the Mw5 aftershock.\nIn Chapter 2, I measure the frictional properties of Oklahoma lithologies at various pore fluid pressures in order to determine lithological and pore pressure controls on Oklahoma induced seismicity. I perform slide-hold-slide tests to determine the frictional restrengthening behavior and velocity steps to determine the stability of the material at different pore fluid pressures. I find that the frictional healing rate of the Arbuckle dolomite is dependent on pore fluid pressure. At the highest pore fluid pressure measured, the Arbuckle dolomite weakens with hold time. I interpret such weakening to be the result of carbonate dissolution at grain contacts within the gouge layer. These experiments were run with pore fluid water undersaturated with respect to carbonate ions and therefore, during a hold, the asperities have enough time at high pressure to either dissolve and shrink a contact or, even if the contacts grow during the hold, the chemistry of the interstitial fluid could weaken the bonds at the contacts increasingly over time. Why dissolution is more effective at high pore fluid pressures than at lower pore fluid pressures is not resolvable from the suite of experiments run here, but I have a few hypotheses. First, more localized shear zones that occur in the high effective stress experiment have less pore space and therefore less available unsaturated water near contacts, and so dissolution is not as ubiquitous. Second, at increased contact pressure, the thickness of the interstitial layer is smaller. Finally, the strain rate at lower effective stresses is slower during the hold and therefore allows for more weakening below a critical rate for dissolution. Further work will be needed to determine which, if any, of these conditions might be responsible for frictional weakening. I find that the healing rate of the basement granitic rock is not dependent on pore fluid pressure, however I note that at the highest pore fluid pressure analyzed, stress relaxation uniquely does not follow the same stress-displacement relationship that all other experiments exhibit. In addition, I find that pore fluid pressure in both lithologies stabilizes the gouge for sliding velocities between 1-10 μm/s. Implications of this work are that pore fluid pressure promotes stable failure, and that carbonates can frictionally weaken when injected with pore fluid that is unsaturated in carbonate ions. This may drive slow slip in carbonate regions and stress faults in regions capable of nucleating earthquakes. This helps to illuminate why injection into carbonates in places such as Oklahoma, Canada, and Texas allows for widespread seismicity, while areas such as North Dakota, where high volume injection occurs into permeable sandstone, has far less seismicity.\nIn Chapter 3, I use repeating earthquakes in order to probe whether laboratory-measured frictional behavior can be scaled to the seismic cycle. Laboratory studies predict three stages of fault healing: rapid post-seismic healing, a delay in healing due to afterslip, and a gradual increase in healing. In chapter 2, I measured stage 3 healing, i.e. the gradual increase in healing with log (time). Using the repeating earthquakes from chapter 1, and focusing only on families with greater than 3 events, I analyze their moment-recurrence time behavior. Moment is dependent on both the amount of slip and the spatial area of the earthquake. Ideally, I would first analyze their stress drop, however these are small earthquakes whose waveforms are likely attenuated. I find that there are three types of moment-recurrence time behavior in the Prague sequence that correspond to the three spatially distinct regions hosting repeaters that I saw in Chapter 1. The first group shows constant moment regardless of recurrence time and occurs at the mainshock-foreshock fault intersection in the Arbuckle unit. The second group is moment-predictable with recurrence time and occurs in the basement granite off of the mainshock-foreshock fault intersection. The third group has scattered moment-recurrence time behavior and occurs at the mainshock-foreshock fault intersection in the basement granitic unit. I interpret the constant moment group in the Arbuckle unit as evidence of a lack of healing that is caused by dissolution effects within the fault as seen in my experiments in Chapter 2. For repeating earthquakes to occur, rapid healing must have occurred following each repeating earthquake, prior to the onset of dissolution-induced weakening. I show that the moment-predictable group is consistent with laboratory rates if attenuation is assumed to be masking the event’s true source duration. Finally, I interpret the scattered moment group as indicative of either chaotic loading conditions by the surrounding aseismic slip area or chaotic pore fluid pressure conditions. Unlike previous studies of repeating earthquakes, I show that healing behavior may vary depending on lithology and pressure conditions, and that lithology-dependent laboratory healing behaviors are relevant even at seismic scales.\nIn total, this dissertation has answered a number of questions in earthquake physics. 1) Is there a critical pore fluid pressure for fault failure? We find that fault failure thresholds can be weakened by time-dependent chemical reactions, which could allow for failure on faults at a much lower pore fluid pressure than otherwise. In other words, the effective stress law may not be the controlling factor for carbonate faults. 2) When a fault fails, what controls the mode of failure, or in other words, why does it fail in a slow (creep) or fast (eart

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.141
Threshold uncertainty score0.281

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.035
GPT teacher head0.267
Teacher spread0.232 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2023
Admission routes1
Has abstractyes

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