SAP Analytics Cloud for Annual Budgeting in Oil & Gas

Introduction

Driver-Based Planning for Budget Allocation & Profit Analysis

• Production Volume: Higher production demands necessitate additional investments in assets like equipment, rigs, and infrastructure.
• Commodity Prices: Fluctuations in oil and gas prices directly influence the capital allocated to exploration, asset development, and infrastructure.
• Regulatory and Environmental Changes: Evolving environmental regulations may require companies to invest in more advanced technology or infrastructure to comply with sustainability targets. By integrating these drivers into SAC’s asset planning model, companies can forecast continuously adjust CAPEX budgets and asset investments to optimize capital efficiency.
• Asset Useful Life: Planning for new investments when the depreciated asset is scheduled for replacement or maintenance to extend the asset’s useful life to avoid costly shutdowns.

• Feedstock Prices and Availability: Volatility in feedstock prices (such as crude oil, natural gas, or other raw materials) significantly impacts OPEX, particularly in refining and downstream operations. SAC models can incorporate fluctuations in feedstock costs to help companies adjust procurement strategies and production volumes, ensuring efficient resource utilization while managing costs.
• Labour Costs: Workforce-related expenses, including wages and training costs, vary based on labour availability and automation levels. SAC’s dynamic forecasting helps companies project OPEX across multiple scenarios and adjust resource allocation to maintain cost control.
• Logistics Operation: Inventory levels, order volume, supplier lead time, and freight costs are used to plan budgets for transportation costs, inventory holding costs, warehouse and handling expenses, and technology for shipment tracking, ensuring all are optimized for cost-efficiency in logistics operations.
• Energy Prices: Changes in energy costs directly affect operational expenses, especially in energy-intensive processes such as refining and extraction.

• Sales (Hydrocarbon Revenue, Non-Hydrocarbon Revenue): Allocate budgets based on historical sales in different segments.
• Commodity Prices: Market fluctuations in oil, gas, and other energy products have a direct impact on revenue generation.
• Production Volume: Higher production output generally results in increased revenue, but this must be balanced with operational efficiency.
• Market Demand: Global demand for energy resources is influenced by geopolitical factors, economic activity, and weather patterns. SAC’s driver-based models help companies forecast revenue with greater accuracy, allowing for better pricing strategies and market responsiveness.

• Feedstock Prices: Variations in feedstock costs directly affect production and operational costs.
• Production Costs per Unit:  Costs incurred per barrel or unit of energy produced are essential drivers for cost planning.
• Logistics and Transport: Transportation and logistics costs, including supply chain complexities and infrastructure investments, affect overall cost structures. SAC’s driver-based approach helps project and manage cost behaviour dynamically,  providing accurate forecasts that support proactive financial management.

Scenario Planning and Simulations

Advanced Analytics and Visualization

• Revenue and Cost Analysis: Visualize revenue trends against budgeted costs to quickly identify variances and take corrective actions where necessary.
• Capex vs. Opex Monitoring: Track capital expenditure projects alongside operational expenses, ensuring alignment with the budget and preventing overspending.
• Cash Flow Forecasting: Create real-time cash flow projections based on current and future budget expectations, facilitating proactive financial management.
• Finance Performance: Assess overall financial health by analyzing profit and loss (P&L), investments, and account positions.
• Upstream Direct Production Cost: Benchmark direct production costs per barrel of crude by cost type across districts, fields, wells, or completions. Simulate cost changes to optimize direct costs and meet efficiency targets.
• Downstream Portfolio Performance: Evaluate the performance of downstream and chemical business units’ product portfolios by analyzing contribution margins across different markets, regions, and customer segments.
• Downstream Supply Chain Performance:  Monitor and analyze the movement of crude oil, refined products, and other materials across the downstream supply chain. SAC dashboards can combine refinery, inventory, transportation, demand, and financial information to provide visibility into supply chain performance and help planners identify bottlenecks, control logistics costs, optimize inventory levels, and improve delivery performance.

• Capital and STO Projects: Enhance decision-making for capital and STO (Shutdowns, Turnarounds, and Outages) projects by evaluating budgets, costs, commercial value, risks, and ROI. Analyze budget deviations to ensure alignment with financial goals.
• Environment, Health, and Safety (EHS):  Integrate environmental and operational risk indicators into management dashboards to provide visibility into sustainability performance and operational risks. SAC can help organizations compare EHS metrics across facilities, fields, terminals, refineries, and other operational units, allowing management to monitor trends alongside financial and operational KPIs.

AI for Planning & Analytics

• Predictive Analytics: Using historical data, SAP Analytics Cloud (SAC) can forecast future outcomes with advanced statistical algorithms such as linear regression, exponential smoothing, and others. In the oil and gas industry, SAC’s predictive analytics can be leveraged to forecast demand, optimize supply chain operations, and identify potential risks across the upstream, midstream, and downstream sectors. This enables companies to proactively manage production levels, streamline logistics, ensure refinery efficiency, and mitigate risks in fluctuating market conditions.
• Smart Insights: It identifies the key factors behind variances in operational data, such as production rates or equipment performance. It highlights the top contributors to issues like cost overruns or inefficiencies in upstream, midstream, and downstream operations. By adding context to visualizations, it helps quickly pinpoint the drivers behind anomalies, enabling more informed decision-making.

Data Integrations, Collaborative Planning and Compliance

• Real-time Data Integration: SAP SAC connects directly to your core ERP systems, such as SAP S/4HANA , SAP BPC (Embedded), SAP IBP, SAP Datasphere providing live data for financial planning. This ensures that your budget reflects the most recent operational realities.
• Import Data Integrations: It can connect with 34 SAP and non-SAP applications, also support connection to any cloud-based application using API.
• Transformations: It has various data transformation capabilities for preparing data before loading.

• Integrated Workflows: SAC enables collaborative workflows where finance, operations, and other departments can work together seamlessly including features like assigning or scheduling tasks.
• Version Control: Manage multiple budget versions and keep track of who made changes, promoting transparency in the budgeting process.
• Commenting & Annotations: Teams can communicate within the platform by leaving comments and annotations directly on the budget models, enhancing communication.
• Bookmarks: Provide features for creating global & private bookmarks.

• Automated Reporting: SAC helps automate the generation of financial reports needed for regulatory compliance.
• Audit Trails: Ensure all budget changes are tracked and auditable.
• Global Compliance: For Oil & Gas companies operating in multiple countries, SAC supports compliance with various local financial regulations.

Conclusion

Disclaimer: All the opinions are solely for information purposes, and the author doesn’t recommend or reject any tools. It should be done after your own due diligence.