← petro-agent · field report · catálogoclaude-fable-5 · summit v3 · class B

Petrophysical Interpretation Report — 1001178734

Well (UWI)1001178734
Log date08/07/64
Acquisition date (header)08/07/64
BHT (measured)110 DEGF
Mud resistivity (RM)0.122 OHMM
Mud filtrate (RMF)0.073 OHMM
PLSS locationSec 25 T19S R22W (map precision ±1.6 km)
Larionov variantold_rocks (degraded)
Convergence statusDID_NOT_CONVERGE
Confidence tier○ BRACKETED
Engine versionscalc_vsh 0.1.0 · calc_phie 0.1.0 · calc_sw 0.1.0 · formula_registry 0.1.0
Config hash (SHA-256)2a9cb78728e386ab…
Git SHAbd23bea18153
Generatedautonomously, no human in the per-report loop

Confidence legend. Each result is tagged by parameter provenance: ● FIRM (core-calibrated) · ◐ QUALIFIED (offset-derived) · ○ BRACKETED (regional/global default — read as a range, dominant uncertainty stated). The system does not claim *always correct*; it states how well-supported each number is.


1. Executive summary

⚠️ ABSTENTION — this is NOT a confident estimate. The run did not converge to a defensible result; the numbers below are an uncalibrated engineering estimate, reported for transparency only:
- 1 unresolved MECHANICAL objection(s)

The vintage log covers only the deep consolidated section, so the full logged interval is evaluated — there is no overburden on record to exclude. Within that interval the net pay is 2.0 m with average effective porosity 0.137 and average water saturation 0.347. Monte-Carlo places the P50 net pay at 2.1 m within a P10-P90 range of 0.0 to 9.6 m. CLASS-B VINTAGE WELL: porosity comes from a count-rate neutron transform (engine-anchored, validated against sonic on offset wells; structural approximation) — every number is bracketed and must be read as a range. The run ABSTAINS from a confident estimate: the validators keep an unresolved objection, so the result must be read as a bracketed range, not a point value.

Net pay P10 / P50 / P90 = 0.0 / 2.1 / 9.6 m.
Net pay is dominated by 'Rw', which is a regional DEFAULT (uncalibrated). This is the single largest uncertainty — the result is bracketed, not a confident point estimate.


2. Data inventory (from LAS)


3. LAS quality control

Edit typeCurveDetail
degradation

4. Standardization

Raw mnemonics mapped to canonical curve names:

CanonicalRaw mnemonic
GRGR
NEUTNEUT
RTRES

5. Per-curve log QC


6. Data preparation

Edits applied before compute (by type): degradation: 1.


7. Interval definition


8. Methodology

All numbers are produced by the deterministic, golden-tested engine. The LLM only selects methods/parameters and writes prose — it never computes a number. Figures are deterministic renderings of these computed numbers for the human reader; the agent reasons over the numeric EDA digest, not images (the models have no vision).

StepMethod (frozen)Version
VshLarionov 1969 (old rocks)vsh_larionov_old 0.1.0
PHIEVintage count-rate neutron, two-point semilog (class-B, engine-anchored)phi_neutron_countrate 0.1.0
SwArchie 1942sw_archie 0.1.0
Net payVsh/PHIE/Sw cutoffs → net sand → net reservoir → net paynetpay 0.1.0
UncertaintyMonte Carlo P10/P50/P90 + parameter sensitivitymc 0.1.0

9. Gamma-ray analysis


10. Resistivity analysis

Low-resistivity scan: rt_threshold=6.28, n_flagged=138, intervals=[[1128.2, 1129.1], [1129.4, 1130.0], [1137.8, 1141.0], [1143.6, 1143.6], [1145.4, 1146.2], [1147.0, 1147.7], [1148.2, 1148.3], [1150.2, 1150.5], [1152.8, 1153.2], [1153.7, 1157.6]].


11. Water resistivity (Rw)


12. Figures

Composite log

Composite log

Pickett plot

Pickett plot

Buckles plot

Buckles plot

Hingle plot

Hingle plot

Distributions

Distributions

Sensitivity tornado

Sensitivity tornado

Net-pay Monte-Carlo distribution

Net-pay Monte-Carlo distribution


13. Shale volume (Vsh)

Mean Vsh by method (selection is the agent's; the LLM authors no number):

MethodMean VshSelected
vsh_larionov_old0.421
vsh_larionov_tertiary0.334
vsh_linear0.554
vsh_clavier0.403
vsh_steiber0.358

14. Porosity

_Not computed — no RHOB/NPHI curve for the comparison._


15. Water saturation

Mean Sw (Archie 1942) = 0.745 (a=1.00, m=2.00, n=2.00, Rw=0.0576 ohm-m). Electrical parameters are engine-sourced; alternative Sw models are optional sections.

Mean Sw by method (engine-computed comparison; the LLM authors no number):

MethodMean SwSelected
sw_archie0.745
sw_simandoux0.249
sw_indonesia0.388

16. Zonation (net-pay intervals)

Raw net-pay runs merged into 6 geological intervals (gap tolerance 1.5 m).

IntervalTop (m)Base (m)Net pay (m)Avg PHIEAvg SwAvg Vsh
Z11182.31182.50.30.1430.3200.297
Z21217.11217.10.20.1240.4050.256
Z31267.41267.50.30.2100.3120.335
Z41269.51269.90.50.1310.4600.291
Z51318.41318.40.20.1170.3760.341
Z61336.51337.20.60.1110.2720.240

17. Results

QuantityValue
Gross interval210.3 m
Net pay (P10/P50/P90)0.0 / 2.1 / 9.6 m
Net-to-gross0.009
Avg PHIE (net pay)0.137
Avg Sw (net pay)0.347
Avg Vsh (net pay)0.284

18. Uncertainty and sensitivity

Monte Carlo, 500 realizations (seed 42). Net pay swing per parameter (one-at-a-time):

ParameterNet-pay swing (m)
Rw8.4
a2.9
m2.7
n0.6

Dominant uncertainty: Rw (swing 8.4 m).

Multi-seed robustness: P50 UNSTABLE across seeds (spread 0.8 m across 4 seeds).

Net pay is dominated by 'Rw', which is a regional DEFAULT (uncalibrated). This is the single largest uncertainty — the result is bracketed, not a confident point estimate.


19. Derived parameters


20. Parameters and provenance

ParameterValueUnitProvenanceSource
gr_min20.000APIdefault
gr_max120.000APIdefault
rho_ma2.710g/ccdefaultSchlumberger 1989
rho_fl1.000g/ccdefault
phie_max0.450v/vdefault
phi_sh_d0.100v/vdefault
phi_sh_n0.350v/vdefault
a1.000-defaultWinsauer et al. 1952
m2.000-defaultArchie, G.E. 1942
n2.000-defaultArchie, G.E. 1942
Rw0.040ohm-mdefaultKansas Geological Survey 2000
rt_hydrocarbon_floor5.000ohm-mdefault
vsh_cutoff0.350v/vdefault
phie_cutoff0.100v/vdefault
sw_cutoff0.500v/vdefault
bit_size_config7.875indefault
qc_abort_threshold0.800-default
circuit_breaker_n3.000-default

The citations table (not RAG) gives each cited parameter exactly one frozen source. Parameters tagged default are regional/global — they drive the bracketed tier.


21. Petrophysical cutoffs

Boundary-inclusive criteria applied by the engine (netpay) to flag reservoir:

StageCriterionCutoffProvenance
Net sandVsh ≤ cutoff0.350default
Net reservoir+ PHIE ≥ cutoff0.100default
Net pay+ Sw ≤ cutoff0.500default

Cutoff values are engine parameters (never LLM-authored); the dominant net-pay uncertainty is Rw — see Uncertainty for the swing.


22. Data quality and validator objections

Curve provenance (canonical ← raw mnemonic): GR←GR, NEUT←NEUT, RT←RES.

QC edits applied before compute — degradation: 1.

ValidatorTypeDetail
vsh_phie_anticorrelationsupportVsh-PHIE Pearson 0.98 > 0.3 (dirty rock + high porosity)
rt_sw_consistencymechanical18 depths with Sw<0.4 but RT<5.0 ohm-m

23. Methodology (decision graph)

flowchart TD
    dec_1["decision: step: compare_methods"]
    act_1["tool_call: compare_methods"]
    dec_2["decision: step: compute_vsh"]
    act_2["tool_call: compute_vsh"]
    dec_3["decision: step: compute_phie"]
    act_3["tool_call: compute_phie"]
    dec_4["decision: step: compare_methods"]
    act_4["tool_call: compare_methods"]
    dec_5["decision: step: compute_sw"]
    act_5["tool_call: compute_sw"]
    dec_6["decision: step: apply_cutoffs"]
    act_6["tool_call: apply_cutoffs"]
    dec_7["decision: step: run_uncertainty"]
    act_7["tool_call: run_uncertainty"]
    dec_8["decision: step: derived_parameters"]
    act_8["tool_call: derived_parameters"]

24. Data gaps for calibration

This is a LAS-only study. Data that would calibrate the interpretation is absent:


25. Limitations


26. Conclusions

Vintage class-B well: logged interval covers only the deep consolidated section (no overburden recorded), GR-only clay indicator, count-rate porosity with engine anchors, Archie saturation. Structural-uncertainty caveat applies to every number. Method choices were made against the engine's numeric comparisons, not by preference; the comparison tables show the rejected alternatives beside the selected method. All numbers in this report come from the deterministic engine; the analyst chose the interval, the methods and the analyses, and wrote this prose — nothing more. Remaining uncertainty is dominated by the uncalibrated regional parameters.


Appendix A — Ledger excerpt (traceability)

{
  "net_pay_total_m": 1.9811999999992622,
  "net_pay_p10_p50_p90": [
    0.0,
    2.1335999999992055,
    9.601199999996425
  ],
  "driving_params": {
    "a": 1.0,
    "m": 2.0,
    "n": 2.0,
    "Rw": 0.04
  },
  "claim_verifier": {
    "result": "PASS",
    "flags": [],
    "tone_flags": []
  }
}

Appendix B — Completeness gate

ItemPresent
QC edits recorded before compute
Every number ledger-traced
Confidence tier on the run
Parameter citations frozen
Validator objections listed, not hidden
Uncertainty propagated (Monte Carlo)
Claim verifier run on prose