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Petrophysical Interpretation Report — 15-135-21228

Well (UWI)15-135-21228
Log date07/23/76
Acquisition date (header)07/23/76
BHT (measured)118 DEGF
Mud resistivity (RM)0.173 OHMM
Mud filtrate (RMF)0.09 OHMM
PLSS locationSec 22 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 9.8 m with average effective porosity 0.171 and average water saturation 0.431. Monte-Carlo places the P50 net pay at 20.9 m within a P10-P90 range of 5.8 to 46.8 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 = 5.8 / 20.9 / 46.8 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
spike_removal60 edits
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, spike_removal: 60.


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=3.89, n_flagged=147, intervals=[[1112.5, 1112.7], [1113.0, 1113.6], [1113.9, 1113.9], [1114.7, 1114.8], [1116.8, 1118.0], [1118.3, 1122.0], [1125.3, 1125.3], [1127.2, 1130.4], [1132.5, 1132.6], [1135.4, 1135.4]].


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_old0.365
vsh_larionov_tertiary0.309
vsh_linear0.458
vsh_clavier0.355
vsh_steiber0.327

14. Porosity

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


15. Water saturation

Mean Sw (Archie 1942) = 0.716 (a=1.00, m=2.00, n=2.00, Rw=0.0679 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_archie0.716
sw_simandoux0.445
sw_indonesia0.509

16. Zonation (net-pay intervals)

Raw net-pay runs merged into 9 geological intervals (gap tolerance 1.5 m).

IntervalTop (m)Base (m)Net pay (m)Avg PHIEAvg SwAvg Vsh
Z11188.31188.30.20.1670.4290.291
Z21202.61203.00.60.1200.3090.186
Z31226.41226.40.20.1350.4760.336
Z41253.61253.80.30.2060.3560.307
Z51296.51296.50.20.1060.4650.247
Z61325.01325.91.10.1210.3600.227
Z71329.41330.10.90.1970.4660.170
Z81332.01335.23.20.1680.4380.151
Z91338.41342.83.20.1950.4650.084

17. Results

QuantityValue
Gross interval235.0 m
Net pay (P10/P50/P90)5.8 / 20.9 / 46.8 m
Net-to-gross0.042
Avg PHIE (net pay)0.171
Avg Sw (net pay)0.431
Avg Vsh (net pay)0.153

18. Uncertainty and sensitivity

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

ParameterNet-pay swing (m)
Rw34.9
m20.1
a13.6
n7.8

Dominant uncertainty: Rw (swing 34.9 m).

Multi-seed robustness: P50 UNSTABLE across seeds (spread 2.4 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, spike_removal: 60.

ValidatorTypeDetail
vsh_phie_anticorrelationsupportVsh-PHIE Pearson 0.97 > 0.3 (dirty rock + high porosity)
rt_sw_consistencymechanical9 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": 9.753599999996368,
  "net_pay_p10_p50_p90": [
    5.760719999997857,
    20.878799999992225,
    46.83251999998257
  ],
  "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