P&O Domain Knowledge: Overview
Production and Operations (P&O) in the oil and gas industry focuses on exploration, production, and operational excellence. Our domain knowledge encompasses various aspects of upstream operations, including discovering hydrocarbon reserves, drilling wells, and extracting resources efficiently and safely.
This dashboard provides a comprehensive view of our domain expertise across key areas, illustrating how we leverage knowledge to drive operational excellence and business value.
Comprehensive Domain Overview
| Domain |
Key Data Types |
Purpose |
Key Performance Indicator (KPI) |
Frequency |
| Projects |
Project plans, schedules, budgets, resource allocations |
Define scope, objectives, and deliverables for upstream projects |
% of projects completed on time, budget adherence |
Monthly (plans, budgets), Weekly (schedules) |
| Subsurface |
Geological data, reservoir models, well logs |
Map subsurface formations to identify hydrocarbon deposits |
Accuracy of geological models, reserve estimation |
Quarterly (geological, models), Daily during drilling |
| Wells |
Drilling data, well completion reports, production logs |
Track drilling parameters, document completion activities |
Drilling efficiency, completion success rate |
Daily (drilling, production), Per well (completion) |
| Production |
Daily production volumes, equipment performance metrics |
Measure oil, gas, and water output, track equipment performance |
Production volume (BOE/day), equipment uptime (%) |
Daily |
Key P&O Domains & Data Types
Our production and operations are organized into specialized domains, each with unique data requirements, processes, and KPIs. Expand each domain below to explore the data types, sources, and business impact in detail.
Key Data Types
Project plans
Schedules
Budgets
Resource allocations
Maintenance scheduling optimization
Why It's Important
Project data helps plan drilling campaigns and other upstream projects effectively. This ensures we meet production targets on time, avoiding costly delays. Accurate planning directly impacts production timelines, cost control, and resource optimization.
% Projects On Time
85%
Monthly tracking
Budget Adherence
±7%
Monthly variance
Resource Utilization
78%
Weekly monitoring
Downtime Reduction
20%
Through maintenance optimization
Key Data Types
Geological data
Reservoir models
Well logs
Seismic data
Why It's Important
Subsurface data analysis helps identify promising drilling sites and reduces exploration risks. Accurate subsurface modeling is critical for reservoir management and production planning. This data informs optimal recovery strategies and resource estimation.
Geological Model Accuracy
85-90%
Quarterly assessment
Reserve Estimation Error
±12%
Quarterly review
Seismic Resolution
92%
Quality factor
Well Log Quality
96%
Daily during drilling
Key Data Types
Drilling data
Well completion reports
Production logs
Maintenance records
Why It's Important
Well data guides parameter adjustments during operations and tracks output and performance. Comprehensive maintenance records prevent expensive failures. This data ensures wells are drilled safely and efficiently, maximizing the productive life of each well.
Drilling Efficiency
+15%
Meters per day improvement
Completion Success
92%
Per well tracking
Production Rate
98%
Of target (daily monitoring)
Mean Time Between Failures
+30%
Improvement with data-driven maintenance
Key Data Types
Daily production volumes
Equipment performance metrics
Safety incident reports
Production & Injection Benchmarking Data
Daily Allocation
Why It's Important
Production data continuously monitors output, equipment health, and safety conditions. Quickly detecting volume changes enables rapid intervention. This data ensures we meet production targets while maintaining our safety-first culture.
Production Volume
97%
Of target BOE/day
Equipment Uptime
95%
Daily tracking
Incident Frequency Rate
-25%
Year-over-year reduction
Response Time
-40%
To production anomalies
Functional Perspectives on P&O Data
Different functions within our organization view and interact with equipment and operational data from their unique perspectives. Understanding these different viewpoints is essential for creating data governance solutions that meet everyone's needs.
Project Engineering
"I see equipment specifications and system requirements"
Warehouse
"I see equipment inventory and storage locations"
Accounting
"I see cost centers and financial metrics"
Procurement
"I see equipment specifications and vendor information"
Maintenance
"I see equipment maintenance schedules and history"
Engineering
"I see technical specifications and control systems"
Process Engineering
"I see process flows and operational parameters"
Reliability
"I see equipment performance and failure patterns"
Palantir Foundry in Oil & Gas Operations
Our digital ecosystem leverages Palantir Foundry to integrate diverse data sources across our business units. This unified platform enables advanced analytics, cross-domain insights, and data-driven decision making throughout our upstream operations.
Upstream Production
Apex
Vertex
CIA
ADDA/Sherlock
Availability Bridge
Measures Marketplace
Reliability Health Monitoring
Athena
WPR
Equipment Ontology
Well Integrity
Field Development
Fiber Optics/DAS
Argus
Refinery Operations
Blackline
Petchems OpEx
Refinery Enablement
Wind Data Lake
Wind MI Dashboard
Turbine Sensor Streaming
Wake Steering
bp Ambition Tracker
Carbon Forecasting
Compliance, Risk, and Trader Management
DOA
ILA
Oil: EDW
IG Commodity Risk
Market Analytics
Global Balances
Data Governance Framework
Our approach to data governance focuses on aligning data strategy with business objectives, ensuring data quality, and extracting maximum value from our information assets. This comprehensive framework enables us to manage data as a strategic resource across all domains.
Data Governance Activities
In a well-managed data environment, data governance is well integrated with the business strategy. Modern governance incorporates automation and validation to ensure data quality and consistency.
Business Strategy
Defines company priorities, objectives, and goals across all domains and operations.
Data Governance
Ensures data quality, security, compliance, and accessibility throughout the organization.
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Data Strategy
Aligns with business goals to define how data will be collected, managed, and utilized for maximum value.
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Data Management & Operations
Day-to-day activities that implement the data strategy through systems, processes, and people.
Key Relationships:
- Business Strategy → Data Strategy: Alignment to business goals & objectives
- Data Strategy → Data Management: Strategy drives actions
- Data Management → Data Governance: Data quality and consistency
- Data Governance → Data Strategy: Performance monitoring
- Data Governance → Business Strategy: Impact on business outcomes
Business Impact of Data-Driven Operations
Our data governance initiatives deliver substantial value across all domains of operations. By ensuring data quality, accessibility, and integration, we enable faster decisions, reduce operational risks, and drive significant financial benefits.
Transforming Data into Actionable Insights
Our data governance solutions have transformed how we use information to drive business outcomes:
From Reactive to Predictive
Instead of responding to failures, we now predict and prevent them through advanced analytics and pattern recognition across integrated data sources.
From Siloed to Integrated
Breaking down barriers between domains enables comprehensive views of operations and reveals cross-functional optimization opportunities.
From Manual to Automated
Replacing manual data reconciliation with automated validation and correction workflows reduces errors while freeing staff for higher-value activities.