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pith:6NT5HTPQ

pith:2025:6NT5HTPQP2SEOAD6KYQIMC63MW
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Realization of Precise Perforating Using Dynamic Threshold and Physical Plausibility Algorithm for Self-Locating Perforating in Oil and Gas Wells

Guo-Hui Ren, Jun-Jie Wang, Kai Tang, Shuang Liu, Si-Yu Xiao, Tian-Hao Mao, Tu-Pei Chen, Xin-Di Zhao, Yang Liu, Yi-An Liu, Yu-Qiao Chen, Zhi-Jian Yu

Dynamic threshold and physical plausibility checks enable real-time collar recognition for automated well perforating.

arxiv:2509.00608 v3 · 2025-08-30 · eess.SY · cs.SY · eess.SP

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Claims

C1strongest claim

Field tests demonstrate a collar recognition F1 score of 98.6% at a throughput of 1000 Sa/s. Notably, the algorithm requires only 1.5 μs per sample, confirming its computational efficiency and suitability for deployment on resource-constrained, high-temperature downhole platforms.

C2weakest assumption

The physical plausibility verification rules remain effective and general across varying well conditions, interference levels, and casing configurations beyond those encountered in the reported field tests.

C3one line summary

The DTPPMP system achieves 98.6% F1 score in collar recognition for self-locating perforating at 1000 Sa/s using dynamic threshold and physical plausibility algorithms that run in 1.5 μs per sample.

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First computed 2026-05-29T02:05:36.067432Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

f367d3cdf07ea447007e5620860bdb65a2bd4b9a5ec7c5c74afdc9e9b20212fe

Aliases

arxiv: 2509.00608 · arxiv_version: 2509.00608v3 · doi: 10.48550/arxiv.2509.00608 · pith_short_12: 6NT5HTPQP2SE · pith_short_16: 6NT5HTPQP2SEOAD6 · pith_short_8: 6NT5HTPQ
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/6NT5HTPQP2SEOAD6KYQIMC63MW \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: f367d3cdf07ea447007e5620860bdb65a2bd4b9a5ec7c5c74afdc9e9b20212fe
Canonical record JSON
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    "submitted_at": "2025-08-30T21:08:20Z",
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