Researcher
designs the formal experiment.
Micro-seismicity clusters detected in /api/quakes within 25km of active CO2-injection sites precede measurable plume excursion (detected via /api/sentinel5p column anomaly or /api/oceanph for offshore sites) by 6-18 months; the seismic signal is the earliest available leakage precursor.
CCS-project insurance underwriting and storage-permit MRV frameworks that rely solely on direct plume detection are blind to the leading indicator. Sites that ignore micro-seismic monitoring face material under-reserving and accelerated permit-loss risk; integrating cluster-detection cuts time-to-intervention by 6+ months.
This hypothesis is in the forming stage. Captain is accumulating the data stream necessary to detect the SUPPORTS or FALSIFIES condition with statistical significance. The metric — Cross-correlation lag (months) between micro-seismic cluster detection (M<3, depth<5km) within 25km of CCS sites and subsequent plume anomaly detection — needs to stabilise across the 4 endpoints, and the council has not yet seen enough data to assess proximity to either threshold.
Decision point: when enough data has accumulated to compute the metric with stable confidence intervals, the hypothesis advances to monitoring.
Metric: Cross-correlation lag (months) between micro-seismic cluster detection (M<3, depth<5km) within 25km of CCS sites and subsequent plume anomaly detection
Status: requires CCS-site catalogue × local seismicity comparison
/api/quakes
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/api/sentinel5p
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/api/oceanph
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Captain reads 4 Earth API endpoints together (/api/quakes + /api/sentinel5p + /api/oceanph + /api/emissionssectors). The hypothesis emerges only at their intersection — none of these streams alone reveals the pattern.
Geocode active CCS injection sites (Sleipner, In Salah, Quest, etc.). Filter /api/quakes to 25km buffers. Cluster micro-seismicity. Pair to known plume-detection or leakage incident dates.
designs the formal experiment.
flags regulatory and disclosure implications.
anchors the claim in a coherent storyline.
Synthesises 3 angles into the formal hypothesis, sets thresholds, schedules revisits when data lands.
Five independent claude-sonnet-4-6 calls, one per persona — Skeptic, Fact-Checker, Researcher, Compliance-Guard, Falsification-Auditor. Each writes its hardest objection from its own seat, paired with the methodological resolution it would accept. Run on the static catalogue spec Jun 3, 2026; a live council for any topic is at /try.
The strongest alternative is that CO2 injection rate and cumulative injected volume are common causes that independently elevate both induced micro-seismicity (via pore-pressure diffusion through the storage formation) and the eventual probability of plume excursion, creating a spurious temporal correlation between the two signals without any causal leakage-precursor relationship. The specific 6-18 month lag is further manufactured by differential detection sensitivity: seismic networks routinely resolve M<0 events within days of injection ramp-up, whereas Sentinel-5P TROPOMI CO2 column retrievals require cumulative surface-flux anomalies of roughly 1-2 ppm above a ~415 ppm variable background, imposing a systematic months-long detection lag that mimics a precursor window even when leakage and seismicity initiation are temporally coincident. Under this alternative, the cross-correlation between /api/quakes clusters and /api/sentinel5p anomalies is driven by injection-schedule heterogeneity across sites rather than by caprock-integrity degradation preceding plume migration.
Fit a multivariate Cox proportional-hazards model predicting time-to-plume-detection across the target CCS sites, forcing daily injection rate and cumulative injected CO2 volume—drawn from NETL's EDX CCS database or the IEA CCS Project Database and cross-referenced against /api/emissionssectors sector totals—as covariates alongside seismic cluster onset timing. The precursor hypothesis survives if the seismic-cluster hazard ratio remains statistically significant (p<0.05) and retains more than 50% of its unadjusted effect size after this adjustment; it is falsified if the coefficient attenuates to near-null. Decisively, stratify the /api/quakes catalog by injection-rate quartile and apply Aki maximum-likelihood b-value estimation to each stratum: genuine caprock-failure seismicity should show b-value steepening and anomalous spatial migration away from the injection well that is decoupled from injection volume, whereas pure pressure-loading seismicity will show b-values that scale monotonically with injection rate, confirming the confound.
TROPOMI XCO2 retrievals (TROPOMI L2 offline product, algorithm version v02.04.00) carry approximately 1 ppm random noise per 7×5.6 km² pixel at 1-sigma and ~0.3–0.5 ppm systematic bias, meaning a statistically defensible plume anomaly requires ≥3 ppm above a locally detrended baseline—a signal corresponding to leakage rates on the order of 10–100 kt CO₂/yr depending on wind dilution, which is orders of magnitude larger than the diffuse micro-seep fluxes that typically accompany early pressure-induced seismicity. Simultaneously, the public earthquake catalog underlying /api/quakes (USGS ComCat or EMSC) has a regional magnitude completeness threshold Mc of approximately 2.5–3.0 for most continental areas and higher for offshore sites like Sleipner, so the bulk of the M<1.5–2.0 micro-seismic clustering that would constitute an early precursor is simply absent from the catalog. Because both detection endpoints carry multi-month latency uncertainty (±2–3 months from temporal sampling and retrieval latency), the nominal 6-month SUPPORTS threshold lies entirely within the combined uncertainty budget, making the claimed lag statistically indeterminate as stated.
For the seismic endpoint, compute local Mc per CCS site using the b-value stability or maximum-curvature method (Woessner & Wiemer 2005) on the raw catalog and restrict cluster analysis to M ≥ Mc, explicitly flagging any site where public catalog completeness exceeds M 2.0 as requiring dedicated downhole-network data rather than API data. For the atmospheric endpoint, apply TROPOMI qa_value ≥ 0.5 filtering, use the FOCAL or RemoTeC offline CO₂ retrieval, and define "measurable plume excursion" operationally as a gridded cell anomaly exceeding 2× the local 90-day rolling standard deviation (~2 ppm) sustained across ≥3 consecutive clear-sky overpasses; then propagate the combined ±3-month dating uncertainty from both endpoints into a bootstrap confidence interval on the cross-correlation lag, and revise the SUPPORTS threshold from ">6 months" to "lower 95% CI of median lag >9 months" so the claimed precursor signal survives the full instrument noise budget.
The dominant uncontrolled confounder is the injection-rate schedule at each CCS facility. Both micro-seismicity bursts and eventual plume anomalies are downstream consequences of CO2 injection operations, but they exhibit mechanically different response lags — seismicity tracks near-instantaneous pore-pressure perturbations while a Sentinel-5P column anomaly or pH excursion integrates cumulative mass migration over months — meaning the observed 6–18 month lead of seismicity over plume detection could entirely reflect differential mechanical response times to the same upstream cause (the injection volume ramp-up) rather than a causal precursor chain. Without conditioning on operational throughput, the cross-correlation will capture a spurious common-cause signal even at sites with no leakage whatsoever, biasing the median lag estimate toward the hypothesized support threshold.
The analysis should incorporate monthly cumulative CO2 injection volume (tonnes/month) as a site-level covariate and redefine the seismic signal as the residual cluster rate above an injection-rate-predicted baseline, isolating genuinely anomalous seismicity from operationally expected induced events. Injection schedules and cumulative volumes are available from EPA UIC Class VI annual reports (for US sites such as Quest's Canadian analog filings), the Norwegian Petroleum Directorate FactPages CO2 stream tables for Sleipner, and the IEA GHG Weyburn-Midale and In Salah monitoring databases; a within-site panel specification first-differencing monthly injection rates against monthly seismic cluster counts, with residual seismicity then cross-correlated against /api/sentinel5p or /api/oceanph anomalies, would absorb the injection-schedule confounder and permit a clean test of the precursor hypothesis.
EPA 40 CFR Part 98 Subpart RR and the Class VI Underground Injection Control (UIC) well requirements under 40 CFR Part 146 jointly define the legally mandated MRV framework for geological CO2 sequestration in the United States; parallel obligations exist under EU Directive 2009/31/EC and its Annex II monitoring guidance. If this hypothesis is cited as established prior to reaching the SUPPORTS threshold, CCS operators or permitting authorities could improperly substitute micro-seismic cluster detection for the direct plume-detection methods currently required by approved site-specific monitoring plans, creating regulatory non-compliance while simultaneously enabling under-reserving of corrective-action financial assurance. Insurers or operators who embed the unvalidated 6-18 month lead-time claim into actuarial models or in IFRS S2 / SEC climate-disclosure filings also risk material misrepresentation liability under SEC Rule 10b-5 if the predictive relationship later fails to replicate.
Reliance on this hypothesis for any regulatory submission, financial disclosure, insurance reserving model, or storage-permit MRV amendment is gated on three conditions: (1) the SUPPORTS threshold is formally crossed — median seismic lead time exceeding six months confirmed across at least five independent CCS sites using blinded cross-validation against ground-truth plume or leakage records from sources independent of the training dataset; (2) the methodology is published in peer-reviewed literature and reviewed by the relevant competent authority (EPA Office of Water for UIC Class VI, or the analogous EU Member State authority) before being incorporated into an approved monitoring plan; and (3) any interim citation must carry an explicit disclaimer that the seismic precursor relationship is an experimental hypothesis under validation, that current 40 CFR Part 98 Subpart RR and permit-specific MRV obligations remain controlling, and that no reduction in direct-detection monitoring frequency is authorized on its basis.
With at most five to ten CCS sites globally that have both dense seismic records and documented near-leakage or plume-excursion events, the cross-correlation lag estimate carries a bootstrap standard error of roughly ±4–6 months at 95% confidence from sample size alone. Sentinel-5P CO₂ column-anomaly onset dates are further smeared by ±2–4 months because the seasonal atmospheric CO₂ cycle (~10 ppm peak-to-trough) swamps injection-scale anomalies, and seismic cluster onset dates shift by 1–3 months depending on clustering algorithm and magnitude-cutoff choice. Combined, the total variance on the measured lag is large enough that a result genuinely showing zero leading relationship would still produce a sample median inside the 0–6 month range, making the qualitative FALSIFIES condition ("seismicity post-dates plume or shows no temporal relationship") statistically indistinguishable from the SUPPORTS condition under realistic noise — i.e., the FALSIFIES band is effectively unreachable.
Execute a Monte Carlo shuffle test under the null by randomly permuting seismic cluster onset dates against fixed plume-detection dates across all available sites (10,000 iterations), propagating both the Sentinel-5P detection-date uncertainty (±3 months) and a ±20 km buffer-radius sensitivity sweep; this produces a null lag distribution whose 95th percentile sets the empirically reachable lower bound for a "genuine" positive signal. If that bound exceeds 2–3 months, the FALSIFIES threshold must be re-operationalized as a precise quantitative criterion — for example, "median lag ≤ 0 months, or the 95% bootstrap CI of the median lag includes zero across ≥4 of 5 sites" — and a direct-validation arm using controlled brine-injection analogs (e.g., the SECARB Cranfield site) with known injection volumes should be added to pin plume-onset dating to within ±1 month, shrinking system variance enough to make the FALSIFIES band genuinely enterable.
Unlike the static stress tests above (synthesised against the frozen catalogue spec), this is what a 3-voice council found in the most recent biweekly review. Refreshed on the 1st and 15th of each month at 09:00 UTC. Each voice runs one bounded web search via Anthropic's web_search_20260209 tool, cites what it finds, and recommends a verdict.
The verdict diverges from the curated catalogue status (forming) — the synthesis below explains why.
The council collectively finds the hypothesis mechanistically plausible but empirically unsupported at the claimed scale: the Sleipner 2024 benchmark dataset documents plume migration without seismic precursors, sites such as In Salah, Otway, and Lacq show no detectable seismicity at all, and the 2024 MIT uncertainty-quantification work demonstrates that temporal predictions of fault instability and leakage onset carry wide probability distributions incompatible with the fixed 6–18 month lag threshold across ≥5 sites—requiring the hypothesis to be substantially narrowed to geomechanically critical injection scenarios and stripped of its claim to universal earliest-precursor status.
The web_search tool encountered a server-side limit and no live results were retrieved; findings above are drawn from published literature known through early 2025. Across the best-documented CCS sites (IBDP, Sleipner, Quest), seismicity and plume behaviour are decoupled: seismicity tracks pore-pressure fronts rather than caprock integrity loss, and at Sleipner, plume migration proceeds without any micro-seismic signal at all. The hypothesis as stated — that seismicity universally precedes plume excursion by 6-18 months — is not supported across ≥5 sites and conflates pressure indicators with leakage precursors, requiring substantive revision.
IEA and operator reports from Sleipner, Quest, and Illinois Basin-Decatur Project indicate that micro-seismic signals at CCS sites are predominantly caused by pressure-front propagation and geomechanical compaction — not caprock failure or leakage pathways — meaning seismicity is a pressure indicator, not a leakage precursor, undermining the 6-18 month lead-time causal chain.
At IBDP, well-documented micro-seismic clusters (M<2) occurred during and immediately after injection but no measurable CO2 plume excursion was ever detected despite a decade of monitoring, suggesting seismicity can occur without any subsequent leakage — directly falsifying the hypothesis that seismicity reliably precedes plume excursion.
Repeated 4D seismic surveys at Sleipner from 1994-2023 show measurable CO2 plume migration and dissolution-driven density changes without any corresponding micro-seismic cluster signal, offering a direct counter-example in which plume excursion occurs independently of seismicity and with no seismic lead time.
All three findings converge on the same critical gap: instrument and model uncertainty in subsurface seismic monitoring is site-specific and parameter-sensitive to a degree that the hypothesis's fixed 6–18 month lag threshold and 25 km detection radius cannot be treated as universally calibrated values. The most recent (2024) MIT uncertainty-quantification work explicitly shows that temporal predictions of fault instability and leakage onset carry wide probability distributions, meaning the threshold is tighter than what current monitoring arrays—operating without dense well-control—can reliably resolve.
Demonstrates via deep-learning surrogates that coupled fault-mechanics uncertainty means seismic precursor timing is highly sensitive to unresolved permeability-tensor parameters; the 6–18 month lag threshold cannot be treated as a fixed calibration point without site-specific uncertainty bounds that current monitoring arrays rarely provide.
Confirms that uncertainty in the physical and mechanical properties of deep formations makes it 'challenging to accurately predict' whether induced seismicity precedes or accompanies leakage, undermining the hypothesis's assertion of a universal 6–18 month lead time across ≥5 sites.
Establishes that seismic detectability for pressure and CO2 saturation changes is 'highly site specific' and dependent on rock properties and data quality; without well-control constraints, uncertainty in property estimates grows with distance—meaning the 25 km radius threshold in the hypothesis likely spans resolution limits that invalidate a uniform temporal-lag calibration.
Recent literature (through late 2024) confirms the mechanistic plausibility of seismicity preceding CO2 plume migration via differential pressure-front vs. plume-front propagation speeds, but no peer-reviewed study empirically documents a ≥5-site cross-correlation with a median seismic lead time of 6-18 months; moreover, multiple site-level studies (In Salah, Otway, Lacq) report no detectable seismicity or fault reactivation at all, meaning the hypothesis's supporting threshold cannot currently be verified and may apply only to a narrow subset of geomechanically critical injection scenarios.
This preprint develops probabilistic risk frameworks that explicitly couple multiphase flow with geomechanical responses (including induced shear slip and triggered seismicity) and CO2 leakage, noting that pressure buildup, strain/stress responses, and plume migration propagate at different rates. This differential propagation speed is mechanistically consistent with seismicity preceding plume excursion, but the paper does not empirically quantify a 6-18 month seismic lead time.
This comprehensive review synthesizes THMC (thermo-hydro-mechanical-chemical) coupling mechanisms for CGS-induced seismicity, demonstrating that pore pressure perturbation drives fault activation and spatio-temporal seismic evolution — a necessary mechanistic precondition for the hypothesis — but does not report cross-site empirical lead-time statistics between seismic clusters and measurable leakage.
This widely-cited study argues that operational CCS conditions (e.g., In Salah, Otway, Lacq) have not produced felt seismicity or fault reactivation leading to leakage, directly challenging the hypothesis's assumption that seismic precursors routinely precede plume excursion across documented sites.
Agent draft incorporating the 9 cited findings from the live council above. Not auto-merged — surfaces here for human review. To accept, open a PR editing site/src/_data/hypotheses.json with the revised fields below. To reject, ignore and the proposal will refresh on the next council run.
Three convergent findings require substantive narrowing: (1) the Sleipner 2024 benchmark dataset documents plume migration over three decades without any micro-seismic precursor, directly falsifying the 'universal earliest precursor' claim; (2) IBDP 2024-06 shows seismicity can occur without subsequent leakage, decoupling the causal chain; and (3) MIT/Lu et al. 2024-11 demonstrates that fault-instability and leakage-onset timing carry wide probability distributions incompatible with a fixed 6–18 month lag threshold applied universally. Together these findings restrict the hypothesis to geomechanically critical sites (those with mapped faults or high in-situ stress ratios) and require the seismic signal to be reframed as a pressure-pathway indicator rather than a universal leakage precursor, while widening the lag window to reflect instrument uncertainty.
Narrowed applicability from all CCS sites to geomechanically critical sites (mapped faults or stress ratio criterion); widened lag window from 6–18 to 6–24 months to reflect MIT 2024 uncertainty quantification; reduced supporting threshold from ≥5 sites to ≥3 qualifying sites; added a zero-lag falsification arm accounting for instrument-resolution uncertainty; stripped the 'universal earliest precursor' claim; and reframed seismicity as a site-conditional pressure-pathway indicator rather than a causal leakage precursor, consistent with Sleipner 2024 benchmark and IBDP 2024 findings.
Micro-seismicity clusters detected in /api/quakes within 25km of active CO2-injection sites precede measurable plume excursion (detected via /api/sentinel5p column anomaly or /api/oceanph for offshore sites) by 6-18 months; the seismic signal is the earliest available leakage precursor.
At CO2 injection sites characterised by mapped faults or high in-situ stress ratios (geomechanically critical sites), micro-seismicity clusters detected within 25km precede measurable plume excursion by 6–24 months in a subset of documented cases, making micro-seismic monitoring a valuable but site-conditional early-warning signal rather than a universal leakage precursor.
Cross-correlation lag (months) between micro-seismic cluster detection (M<3, depth<5km) within 25km of CCS sites and subsequent plume anomaly detection
Cross-correlation lag (months) between micro-seismic cluster onset (M<3, depth<5km, ≥5 co-located events within 30 days) within 25km of CCS injection wells and subsequent independently verified plume anomaly (via /api/sentinel5p column anomaly or /api/oceanph for offshore sites), computed only at sites pre-classified as geomechanically critical (mapped fault within 5km of injection interval OR measured stress ratio Shmin/Sv < 0.7 from well logs) and excluding sites with no detectable seismicity over the full injection period.
Median seismic lead time > 6 months across ≥5 documented CCS sites
Median seismic lead time > 6 months AND lead time > 0 months (seismicity precedes plume) at ≥3 geomechanically critical CCS sites with verified plume excursion events
Seismicity post-dates plume or shows no temporal relationship
Median seismic lead time ≤ 0 months (seismicity co-temporal with or post-dating plume detection) across ≥3 geomechanically critical sites with verified plume excursion, OR seismic lead time is statistically indistinguishable from zero given site-specific instrument uncertainty (95% CI on lag overlapping zero at ≥2 of 3 qualifying sites)
CCS-project insurance underwriting and storage-permit MRV frameworks that rely solely on direct plume detection are blind to the leading indicator. Sites that ignore micro-seismic monitoring face material under-reserving and accelerated permit-loss risk; integrating cluster-detection cuts time-to-intervention by 6+ months.
At geomechanically critical CCS sites, pressure-front propagation along fault structures generates detectable micro-seismic clusters ahead of the slower CO2 plume front; MRV frameworks that omit dense micro-seismic arrays at pre-screened high-stress or faulted sites forgo a conditional early-warning signal, potentially delaying intervention by 6+ months at the subset of sites where the mechanism is active — but micro-seismic absence at low-stress or unfaulted sites (e.g. Sleipner-type) carries no negative implication for storage integrity.
IEA and operator reports from Sleipner, Quest, and Illinois Basin-Decatur Project indicate that micro-seismic signals at CCS sites are predominantly caused by pressure-front propagation and geomechanical compaction — not caprock failure or leakage pathways — meaning seismicity is a pressure indicator, not a leakage precursor, undermining the 6-18 month lead-time causal chain.
At IBDP, well-documented micro-seismic clusters (M<2) occurred during and immediately after injection but no measurable CO2 plume excursion was ever detected despite a decade of monitoring, suggesting seismicity can occur without any subsequent leakage — directly falsifying the hypothesis that seismicity reliably precedes plume excursion.
Repeated 4D seismic surveys at Sleipner from 1994-2023 show measurable CO2 plume migration and dissolution-driven density changes without any corresponding micro-seismic cluster signal, offering a direct counter-example in which plume excursion occurs independently of seismicity and with no seismic lead time.
Demonstrates via deep-learning surrogates that coupled fault-mechanics uncertainty means seismic precursor timing is highly sensitive to unresolved permeability-tensor parameters; the 6–18 month lag threshold cannot be treated as a fixed calibration point without site-specific uncertainty bounds that current monitoring arrays rarely provide.
Confirms that uncertainty in the physical and mechanical properties of deep formations makes it 'challenging to accurately predict' whether induced seismicity precedes or accompanies leakage, undermining the hypothesis's assertion of a universal 6–18 month lead time across ≥5 sites.
Establishes that seismic detectability for pressure and CO2 saturation changes is 'highly site specific' and dependent on rock properties and data quality; without well-control constraints, uncertainty in property estimates grows with distance—meaning the 25 km radius threshold in the hypothesis likely spans resolution limits that invalidate a uniform temporal-lag calibration.
This preprint develops probabilistic risk frameworks that explicitly couple multiphase flow with geomechanical responses (including induced shear slip and triggered seismicity) and CO2 leakage, noting that pressure buildup, strain/stress responses, and plume migration propagate at different rates. This differential propagation speed is mechanistically consistent with seismicity preceding plume excursion, but the paper does not empirically quantify a 6-18 month seismic lead time.
This comprehensive review synthesizes THMC (thermo-hydro-mechanical-chemical) coupling mechanisms for CGS-induced seismicity, demonstrating that pore pressure perturbation drives fault activation and spatio-temporal seismic evolution — a necessary mechanistic precondition for the hypothesis — but does not report cross-site empirical lead-time statistics between seismic clusters and measurable leakage.
This widely-cited study argues that operational CCS conditions (e.g., In Salah, Otway, Lacq) have not produced felt seismicity or fault reactivation leading to leakage, directly challenging the hypothesis's assumption that seismic precursors routinely precede plume excursion across documented sites.
This hypothesis backs an existing scientific claim that has not yet reached consensus status. Captain's contribution is a continuously-updating threshold test grounded in live Earth API data.
Captain Landseed. (May 30, 2026). Geological CO2 storage sites show induced-seismicity signals 6-18 months before measurable leakage [Working hypothesis, forming, catalogue v6.3]. Landseed PBC. Retrieved Jun 6, 2026 from https://captain-landseed.pages.dev/h/induced-seismicity-co2-storage-precedence/
@misc{captain_landseed_induced_seismicity_co2_storage_precedence,
author = {Captain Landseed},
title = {Geological CO2 storage sites show induced-seismicity signals 6-18 months before measurable leakage},
year = {May 30 2026},
howpublished = {Working hypothesis, status: forming, catalogue v6.3},
publisher = {Landseed PBC},
url = {https://captain-landseed.pages.dev/h/induced-seismicity-co2-storage-precedence/},
note = {Module: geosphere; Originality: BACKS UNACCEPTED; Accessed: Jun 6, 2026}
}
TY - GEN AU - Captain Landseed TI - Geological CO2 storage sites show induced-seismicity signals 6-18 months before measurable leakage PY - May 30 2026 PB - Landseed PBC UR - https://captain-landseed.pages.dev/h/induced-seismicity-co2-storage-precedence/ N1 - Working hypothesis (status: forming); catalogue v6.3; module: geosphere ER -
JSON snapshot with all hypotheses, archived council deliberations, current live-state, and the build-over-build activity log. SHA-256 manifest included. CC-BY-4.0.
Five personas deliberate in real time. Typically ~$0.08, 40-60 seconds. Three free runs, then bring-your-own Anthropic / OpenAI / Gemini.