Prosecution Insights
Last updated: October 27, 2026

Petroliam Nasional Berhad (Petronas)

Technology areas: Chemistry & Materials • Computing & Software • Semiconductors, Circuits & Optics

5 pending office actions • 5 art units • 5 examiners • 0 of 5 (0%) have an AI response strategy ready • 10 patents granted in the last 365 days

Analysis

Petroliam Nasional Berhad (Petronas) has 5 pending office actions in Computing & Software. The matters are assigned to 5 distinct examiners and 5 distinct art units, showing complete dispersion across the recorded examination assignments. Counsel should therefore manage the docket through matter-specific issue tracking rather than a single examiner-centered strategy.

WALKER, AJA ARYANNA is the busiest examiner, with 1 pending matter. No examiner has a larger recorded allocation, so responses should be tailored to each action and art unit. Consistent descriptions of software functionality and system relationships can support portfolio coherence, but the separate examination channels make independent analysis of claim scope and amendment options important.

Written from this page's own data; every figure is computed from USPTO records and verified before publication.

Portfolio Summary

5
Total Pending OAs
2
Non-Final OAs
3
Final Rejections
0
Advisory / Quayle

Response Deadline Pressure

Based on the USPTO statutory response window for each pending office action. 2 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.

0
Overdue
0
Due this week
1
Due this month
0
Due in next 60 days
1
Due later

Case Difficulty Mix

Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.

4
Hard (80%)
1
Medium (20%)
0
Easy (0%)
0
Unknown (0%)

Rejection Statute Mix

BucketCases
§101 + other1 (20%)
§103 only1 (20%)
Multi-statute (no §101)3 (60%)

Industry Mix

How the docket's pending cases split across USPTO tech-center bands.

1
Life Sciences
20% of docket
3
Information Tech
60% of docket
0
Communications
0% of docket
1
Semiconductors
20% of docket
0
Mechanical / Eng
0% of docket
0
Business / Other
0% of docket

Time-on-OA Estimate

Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.

50 h
Manual time on pending OAs
10 h
Time saved (low, 20%)
18 h
Time saved (mid, 35%)
0.4 wks
FTE-weeks freed (mid)

Top Examiners on this docket

ExaminerApps on this docketAllow rateInterview lift
WALKER, AJA ARYANNA 1 66.7% +42.9%
SHINE, NICHOLAS B 1 37.2% +41.5%
BALDWIN, RANDALL KERN 1 80.0% +27.2%
FRANK, RODNEY T 1 72.8% +3.8%
COCCHI, MICHAEL EDWARD 1 40.9% +47.7%

Hard Cases (4)

Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 4 ordered by deadline are shown.

App #TitleExaminerDue in
18272525 SYSTEM, APPARATUS AND PROCESSING METHOD SUITABLE FOR PREDICTIVE BASED ANALYSIS OF A STRUCTURE SHINE, NICHOLAS B 13d
18571044 PHASE CHANGE MATERIALS WALKER, AJA ARYANNA —
18037504 SWEET SPOT-BASED MACHINE LEARNING (SSML) IN ASSOCIATION WITH COMPLETION-BASED MACHINE LEARNING (COMML) BALDWIN, RANDALL KERN —
17800150 EQUIPMENT FAILURE PROBABILITY CALCULATION AND LIFETIME ESTIMATION METHODS AND SYSTEMS COCCHI, MICHAEL EDWARD —

Interview Candidates (4)

Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 4 ordered by deadline are shown.

App #TitleExaminerDue in
18272525 SYSTEM, APPARATUS AND PROCESSING METHOD SUITABLE FOR PREDICTIVE BASED ANALYSIS OF A STRUCTURE SHINE, NICHOLAS B 13d
18571044 PHASE CHANGE MATERIALS WALKER, AJA ARYANNA —
18037504 SWEET SPOT-BASED MACHINE LEARNING (SSML) IN ASSOCIATION WITH COMPLETION-BASED MACHINE LEARNING (COMML) BALDWIN, RANDALL KERN —
17800150 EQUIPMENT FAILURE PROBABILITY CALCULATION AND LIFETIME ESTIMATION METHODS AND SYSTEMS COCCHI, MICHAEL EDWARD —

Top Art Units

Art UnitApps
1761 1
2126 1
2125 1
2855 1
2188 1

Pending Office Actions

App #TitleExaminerArt UnitStatutesStatusDue inAIFiled
18571044 PHASE CHANGE MATERIALS WALKER, AJA ARYANNA 1761 §103§112 Non-Final OA — Pending Dec 15, 2023
18272525 SYSTEM, APPARATUS AND PROCESSING METHOD SUITABLE FOR PREDICTIVE BASED ANALYSIS OF A STRUCTURE SHINE, NICHOLAS B 2126 §103§112 Non-Final OA 13d Pending Jul 14, 2023
18037504 SWEET SPOT-BASED MACHINE LEARNING (SSML) IN ASSOCIATION WITH COMPLETION-BASED MACHINE LEARNING (COMML) BALDWIN, RANDALL KERN 2125 §103§112 Final Rejection — Pending May 17, 2023
18013836 PIPELINE INSPECTION SYSTEMS AND METHODS FRANK, RODNEY T 2855 §103 Final Rejection 70d Pending Dec 29, 2022
17800150 EQUIPMENT FAILURE PROBABILITY CALCULATION AND LIFETIME ESTIMATION METHODS AND SYSTEMS COCCHI, MICHAEL EDWARD 2188 §101§103 Final Rejection — Pending Aug 16, 2022

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Frequently Asked Questions

How many pending USPTO office actions does Petroliam Nasional Berhad (Petronas) have?

Petroliam Nasional Berhad (Petronas) has 5 pending office actions as of October 2026, spread across 5 art units and 5 examiners.

Which USPTO examiner handles the most Petroliam Nasional Berhad (Petronas) applications?

Aja Aryanna Walker has the most, with 1 of Petroliam Nasional Berhad (Petronas)'s pending office actions.

What technology area are Petroliam Nasional Berhad (Petronas)'s patent applications in?

Mostly Computing & Software (USPTO Tech Center 2100), based on where its pending office actions are examined.

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