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Wellbore Genius

Wellbore Genius

Performance modeling

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SURF crystalline — DFIT closure vs strain

South Dakota (SURF, Lead) · DOE SURF / EGS Collab · Guglielmi 2023 · IJRMMS · 10.1016/j.ijrmms.2023.105521

Citation
International Journal of Rock Mechanics and Mining Sciences
Elsevier
2023
DOI verified

First author: Guglielmi, Y.

DOI: 10.1016/j.ijrmms.2023.105521

Auto-fetch & digitize
CSV export units

No digitized data cached yet. “Auto-fetch” asks the AI to read the open-access figure(s) and return (x, y) samples for each measured series. Review before saving as ground truth — model output may be noisy and should be cross-checked against the paper.

Blind-match rerun
83.0
Composite blind-fit score (0–100)
SeriesnRMSEMAEBiasMAPE %
BHP falloff20328.87328.35328.355.10
Physics-gate trace
PASS

Composite 83/100 — passes blind match.

  1. 01Gate identified — DFIT closure

    Dispatcher routed entry "guglielmi-2023-dfit-closure-strain" to the dfit-closure forward evaluator.

  2. 02Reference inputs check

    All required `referenceInputs` (and `extra` knobs, if any) resolved.

  3. 03Measured series check

    1 series, 20 samples evaluated.

  4. 04Fit — BHP falloff

    RMSE within 10 % of series mean — tracks measured curve.

    n: 20
    RMSE: 328.868
    MAE: 328.345
    bias: 328.345
    MAPE: 5.1 %
    maxAbs: 354.169
Saved runs (0) · shared bucket

No saved runs yet. Click Save run after a rerun to snapshot the score, per-series metrics, and current rerun inputs (unit overrides, preview values, preset). Snapshots are scoped to the active project.

Sensitivity (OFAT, Spearman ρ)
FactorSpearman ρScore swingSign flip?

±25% half-range, 7 samples per factor. Score = exp(-3.6 · rel-RMSE) × 100.

Forward-run only — no post-hoc tuning. Digitized series carry the listed reading error. DOI links to publisher; data reuse subject to publisher license.