Reducing oil and gas costs with automatic power and typescript: a digital conversion approach

Strategic Applications for Cost Reduction

Field Operations and Maintenance Cost Reduction

Maintenance costs represent an important part of upstream operational operating expenses. By implementing prediction expectations through automation and user-defined applications, these costs can be reduced to industry research through documents ranging from 15-25°C.

Power Automate Applications for Maintenance Cost Reduction

1. Automated Work Order Management

Power Automate can streamline the entire work order lifecycle:

Technician Request → Approval Routing → Material Requisition →

Schedule Creation → Completion Verification → Documentation

This automated flow eliminates manual handoffs, reduces administrative burden, and accelerates repair timelines—resulting in less equipment downtime and lower costs.

2. Condition-Based Maintenance Triggers

By connecting IoT sensors through Power Automate:

Sensor Data → Threshold Monitoring → Alert Generation →

Work Order Creation → Resource Assignment

This proactive approach prevents catastrophic failures and optimizes maintenance scheduling.

3. Inventory Management Automation

Automated inventory workflows ensure optimal parts availability:

Parts Usage → Inventory Update → Threshold Monitoring →

Purchase Requisition → Vendor Communication

By maintaining optimal inventory levels, companies reduce both carrying costs and emergency procurement expenses.

4. TypeScript Solutions for Maintenance Optimization

1. TypeScript allows for the development of highly developed applications that go beyond the capabilities of Power Automat

Predictive Maintenance Applications

interface EquipmentData {

assetId: string;

readings: Reading[];

maintenanceHistory: MaintenanceEvent[];}

function predictMaintenanceNeeds(data: EquipmentData): MaintenancePrediction {

// Implementation of advanced prediction algorithms

return {

recommendedDate: calculatedDate,

confidenceLevel: calculatedConfidence,

potentialFailures: identifiedRisks

};

}

These applications analyze historical data patterns to predict devices before they appear, dramatically reducing unplanned downtime.

2. Optimization Algorithms for Maintenance Scheduling

Optimization algorithms balance maintenance needs against production requirements and resource constraints.

Administrative Cost Reduction

Back-office operations are a major cost center for upstream companies, which is dedicated to a wide range of HR for data processing, reporting and compliance management.

Power Automate Solutions for Administrative Efficiency

1. Automated Regulatory Reporting

Power Automate workflows can transform regulatory reporting:

Data Collection → Validation → Report Generation →

Approval Process → Submission → Confirmation

This automation reduces compliance costs while improving accuracy and timeliness.

2. Invoice Processing and Vendor Management

Streamlined vendor interaction reduces administrative overhead:

Invoice Receipt → Data Extraction → Validation Against PO →

Approval Routing → Payment Scheduling → Payment Execution

Studies show automated invoice processing can reduce processing costs by 60-80%.

3. Employee Onboarding and Training Management

Automated workflows ensure consistent onboarding:

Hire Notification → Account Creation → Access Provisioning →

Training Assignment → Certification Tracking → Compliance Verification

This reduces administrative time while ensuring all compliance requirements are met.

TypeScript Applications for Administrative Systems

TypeScript enables the development of robust administrative applications:

1. Compliance Management Systems

class ComplianceRequirement {

id: string;

regulatoryBody: string;

requirements: Requirement[];

deadlines: DeadlineInfo[];

documentationNeeded: DocumentType[];

calculateRiskScore(): number {

// Risk calculation logic

return riskScore;

}

}

These systems provide comprehensive compliance management with built-in risk assessment.

2. Vendor Performance Analytics

Analytics applications help optimize vendor relationships and negotiate improved terms.

Production Optimization and Cost Efficiency

Maintenance and management costs are important, but production optimization is the greatest possibility to reduce costs per barrel.

Power Automate for Production Workflows

1. Production Data Integration and Reporting

Automated data flows ensure timely decision-making:

Data Collection → Validation → Normalization →

Integration → Analysis → Reporting

This eliminates manual data handling and provides near real-time insights.

2. Exception Management and Intervention

Automated exception handling reduces production losses:

Anomaly Detection → Alert Generation → Contextualization →

Recommendation → Response Tracking

Faster response to production issues minimizes losses and recovery costs.

TypeScript Applications for Production Optimization

1. Production Optimization Algorithms

interface WellProductionParameters {

flowRate: number;

pressure: number;

temperature: number;

fluidComposition: CompositionData;

}

function optimizeProductionParameters(

currentParams: WellProductionParameters,

historicalData: HistoricalProduction[],

constraints: OperationalConstraints

): OptimizedParameters {

// Optimization algorithm implementation

return optimizedSettings;

}

These algorithms continuously adjust production parameters to maximize output while minimizing lifting costs.

2. Decision Support Systems for Intervention Planning

function rankInterventionOpportunities(

wells: WellData[],

resources: ResourceAvailability,

economicFactors: EconomicModel

): RankedInterventions {

// Prioritization algorithms

return prioritizedActions;

}

These systems ensure resources are deployed to interventions with the highest return on investment.

Implementation Strategy: A Phased Approach

Successful cost reduction requires a structured implementation strategy that provides incremental value, while also building comprehensive transformation.

Phase 1: Assessment and Quick Wins

1. Process Analysis and Opportunity Identification

• Map current processes and identify high-impact automation opportunities
• Quantify potential cost savings and prioritize initiatives

2. Pilot Implementations 

• Implement Power Automate workflows for well-defined, high-return processes
• Develop proof-of-concept TypeScript applications for critical functions

3. ROI Verification

• Measure actual cost reductions against projections
• Refine implementation approach based on learnings

Phase 2: Scaling and Integration

1. Enterprise-Wide Workflow Automation

• Extend successful Power Automate pilots across the organization
• Create workflow templates that can be customized for specific assets or regions

2. Application Development and Deployment

• Build core TypeScript applications for maintenance optimization, compliance management, and production enhancement
• Integrate with existing systems through APIs and data pipelines

3. Center of Excellence Development

• Establish governance frameworks for automation initiatives
• Build internal capabilities through training and knowledge transfer

Phase 3: Advanced Optimization and Continuous Improvement

1. AI and Machine Learning Integration

• Enhance TypeScript applications with predictive capabilities
• Implement self-optimizing workflows that adapt to changing conditions

2. Ecosystem Development

• Extend automation to vendor and contractor interactions
• Create integrated digital workflows spanning organizational boundaries

3. Continuous Optimization

• Implement metrics and monitoring for automated processes
• Regular refinement of algorithms and workflows based on performance data

Implementation Challenges and Solutions

Data Quality and Availability

Challenge: Automation depends on high-quality, accessible data, which is often lacking in legacy operations.

Solution:

• Implement data quality assessment and improvement initiatives
• Use Power Automate to standardize data collection protocols
• Develop TypeScript data validation and enrichment components

Legacy System Integration

Challenge: Older systems often lack modern APIs, complicating integration efforts.

Solution:

• Leverage Power Automate’s broad connector library
• Develop TypeScript adapters for legacy system integration
• Implement staged data synchronization where real-time integration isn’t feasible

Organizational Adoption

Challenge: Staff may resist automation due to concerns about job security or role changes.

Solution:

• Focus messaging on augmentation rather than replacement
• Involve end-users in solution design and implementation
• Provide clear paths for skill development and role evolution

Cybersecurity Considerations

Challenge: Automation increases the connectivity of operational technology, potentially expanding the attack surface.

Solution:

• Implement security-by-design principles in all development
• Utilize TypeScript’s strong typing to reduce vulnerability risks

Follow Microsoft’s security best practices for Power Automate implementations