ASTOR Reliability

West Africa FPSO

Diagnose | 72% | $168.0M

AGA® Methodology

Diagnose Stage

Identify Root Causes & Systemic Contributors

Identify bad actors, root-cause hypotheses, systemic contributors, and evidence required to validate the recovery case.

Root-cause and contributor logic

The diagnostic stage connects recurring symptoms to root causes, contributors, bad actors, and system-level issues that explain why value is being lost.

Likely root cause
Equipment reliability / bad actors
Top systemic gap
Spares and materials constraints
Evidence required
Trip, CMMS, spares, operating envelope

Selected Leakage Categories (5)

Recurring Trips & ShutdownsTrip log, downtime register, bad actor history
Deferred ProductionProduction accounting, deferment codes, daily allocation
Flaring & Gas LossesFlare log, gas loss register, compressor availability
Maintenance BacklogCMMS backlog, PM compliance, schedule attainment
Spares & Readiness GapsCritical spares list, stock status, lead-time register
Diagnostic Prompts & Evidence
What equipment or systems are recurring failure contributorsWhat equipment or systems are recurring failure contributors?In Progress
What are the dominant failure modes and frequenciesWhat are the dominant failure modes and frequencies?Complete
What are the operating conditions when failures occurWhat are the operating conditions when failures occur?In Progress
What maintenance and inspection gaps existWhat maintenance and inspection gaps exist?Complete
What spares or materials constraints are affecting reliabilityWhat spares or materials constraints are affecting reliability?In Progress
What organizational or process issues contribute to failuresWhat organizational or process issues contribute to failures?Not Started
Likely Root Cause Categories
Equipment reliabilityCompressor train reliability is the dominant bad actor hypothesis.72%
Spares constraintsSpares and materials constraints are extending downtime and recovery lag.58%
Execution disciplineMaintenance execution and work management require evidence validation.54%
Key Diagnostic KPIs

Data Completeness

72%

Evidence Quality

68%

Confidence Score

Medium 72%

Critical Bad Actors

14

Systemic Gaps

9

Diagnostic Progress

60%
Recovery Roadmap Preview
30 days
60 days
90 days
6 months
1Stabilize Operations30dOps Lead
2Address Critical Bad Actors60dReliability Eng
3Improve Spares Availability60dSupply Chain
4Maintenance Execution Reset90dMaint. Manager
5Reliability Governance6moReliability Mgr

Value-at-Risk, Risk Matrix & Register

AGA® combines financial exposure, the 5x5 likelihood/severity matrix, and a governed risk register before recovery prioritization.

Pre

20 High

Post

4 Low-Med

Value

$216.0M / yr

Value at Risk (indicative)

Financial exposure linked to the risk register and recovery controls.

$216.0M

/ year

$75M
$150M
$230M
LowEstimated Annual Value LeakageSevere

5x5 Risk Matrix

Severity x likelihood from the attached risk tracker template.

AGA® Risk
Severity
L1Rare
L2Unlikely
L3Possible
L4Likely
L5Almost Certain
S5Severe
5Low-Med
10Medium
15Med-Hi
20HighPre
25High
S4Significant
4Low-MedPost
8Medium
12Medium
16Med-Hi
20HighPre
S3Moderate
3Low
6Low-Med
9Medium
12Medium
15Med-Hi
S2Minor
2Low
4Low-MedPost
6Low-Med
8Medium
10Medium
S1Negligible
1Low
2Low
3Low
4Low-MedPost
5Low-Med
LowLow-MedMediumMed-HiHigh

AGA® Risk Register

Pre-control exposureHigh
L4 x S520
Control packageNeeds validation
Spares, PM recovery, trip RCAActive
Residual exposureLow-Med
L2 x S24
Register ownerGoverned
Reliability / Asset SponsorOpen

Fix-first register links

1Deferred ProductionPlan Next
2Recurring Trips & ShutdownsPlan Next
3Maintenance BacklogDefer

AGA® methodology

Risk is quantified before prioritization, linking loss history to severity, likelihood, controls, residual exposure, and fix-first sequencing.

ASTOR Knowledge OS

Owns the canonical AGA® 5x5 matrix scale, risk-register schema, control taxonomy, residual-risk labels, and approved evidence metadata.

ASTOR Intelligence Platform

Generates risk matrix views, gap registers, executive summaries, and PDF / PowerPoint outputs from validated AGA® evidence.

19-Domain AGA® Spider Net

Questionnaire-derived maturity view across strategy, reliability, integrity, execution, data, and governance.

Responders

42

Anonymized

Questions

155

Evidence set

Coverage

86%

Response rate

12345678910111213141516171819
CurrentISO 55000 target

Domains

19

Questions

155

Avg. maturity

2.8 / 5

ISO reference

4.2

Questionnaire signal

The spider net converts anonymized questionnaire responses into a 19-domain maturity profile, then compares current evidence against the ISO 55000 target band.

Validated response set42 anonymized responders
Evidence questions155 scored questions
Primary gapData, spares, RCA learning

Lowest maturity domains

1Data Quality (10 q)2.2/4.0
2Spares Readiness (7 q)2.3/4.1
3Loss Accounting (8 q)2.4/4.1
4RCA Learning (8 q)2.4/4.2
5Planning Discipline (9 q)2.5/4.1
6Energy & Emissions (7 q)2.5/4.0

Domain index

1Asset Strategy3.2/4.3
2Objectives & Value3.4/4.4
3Asset Hierarchy2.8/4.1
4Criticality3.1/4.2
5Risk Governance2.6/4.4
6Loss Accounting2.4/4.1
7Reliability Controls2.7/4.2
8Maintenance Strategy3.0/4.0
9Planning Discipline2.5/4.1
10Execution Control2.6/4.0
11Spares Readiness2.3/4.1
12Production Deferral2.7/4.2
13Injection Performance2.9/4.0
14Energy & Emissions2.5/4.0
15Integrity Assurance3.0/4.4
16MOC Discipline2.8/4.1
17Data Quality2.2/4.0
18RCA Learning2.4/4.2
19Leadership Cadence3.1/4.5

Maturity Pyramid vs ISO 55000

Compares the AGA® evidence-adjusted maturity result against ISO 55000-style asset management discipline, using the report-derived five-level maturity model.

Current

2.8

56%

ISO ref.

4.2

84%

Gap

1.4

Priority uplift

Level 5 · Operational Excellence

Comprehensive asset management approach

ISO 4.2

Level 4 · Reliability Culture

Lifecycle reliability, control and standardization

Level 3 · Organizational Excellence

Multidisciplinary maintenance and operations integration

AGA 2.8

Level 2 · Proactive Maintenance

Equipment control, RCA discipline and recurrence prevention

Level 1 · Planned Maintenance

Basic process foundation and maintenance work control

ISO 55000 Heatmap & Color Code

Heatmap ranges translate weighted questionnaire scores into evidence maturity bands.

Target ≥80%
L5Operational ExcellenceComprehensive asset management approach80-100%4.1-5.0Excellence
L4Reliability CultureLifecycle reliability, control and standardization60-80%3.1-4.0Competence
L3Organizational ExcellenceMultidisciplinary maintenance and operations integration40-60%2.1-3.0Understanding
L2Proactive MaintenanceEquipment control, RCA discipline and recurrence prevention20-40%1.1-2.0Awareness
L1Planned MaintenanceBasic process foundation and maintenance work control0-20%0.0-1.0Innocence

System Detractors of Losses

Converts selected symptoms into system-level value leakage contributors.

Compressor Train Trips38%

$82.0M

Deferred Production Queue28%

$61.0M

Flaring & Gas Handling13%

$28.0M

Maintenance Backlog11%

$24.0M

Spares Readiness10%

$21.0M

Pareto of Recoverable Losses

Shows where leadership attention concentrates the fastest recovery effect.

Cumulative recovery concentrationAnnual loss by detractor
1$82.0M2$61.0M3$28.0M4$24.0M5$21.0M

Next Recommended Action

Identify Root Causes & Systemic Contributors

Identify bad actors, root-cause hypotheses, systemic contributors, and evidence required to validate the recovery case.

Root-cause focus

Compressor train reliability, critical spares readiness, PM compliance, and deferment coding.

Evidence package

Trip register, operating envelope, maintenance history, backlog age, and stockout lead times.

Leadership decision

Approve a focused AGA® review to confirm what to fix first and what recovery is worth.

Executive Summary Preview

Wider leadership-ready summary generated from the selected leakage profile, quantified value, and recovery path.

Asset Challenge Overview

West Africa FPSO is being screened through ASTOR AGA® for Recurring compressor trips, high deferred production, maintenance backlog, and critical spares delays impacting uptime and reliability.

Hidden Value Leakage Profile

Recurring Trips & Shutdowns, Deferred Production, Flaring & Gas Losses, Maintenance Backlog, Spares & Readiness Gaps.

AGA® Stage Completion Summary

72% indicative data completeness; results remain subject to validation with site data.