The Challenge:

Our client needed a comprehensive dynamic study to validate Stock Tank Oil Originally in Place (STOOIP) and refine their reserves estimation. The key objectives were to:

• Identify dynamic reservoir units.
• Evaluate reservoir performance and depletion trends.
• Estimate in-place volumes and aquifer parameters.
• Assess potential increases in reserves and recovery factors.

Flowgrids’ Solution:

To address these challenges, Flowgrids implemented a structured, four-step approach:

• Multi-Tank Material Balance Modeling – Designed interconnected reservoir models using industry-leading software.
• Dynamic Connectivity Analysis – Used transmissibility multipliers to simulate inter- and intra-reservoir communication, pinpointing dynamic units.
• History Matching & STOOIP Validation – Analyzed pressure depletion trends to determine aquifer properties, drive mechanisms, and validate STOOIP estimates from volumetric methods.
• Reserves Forecasting & Recovery Estimation – Leveraged history-matched models and well/field constraints to refine reserves forecasts and enhance recovery strategies.

Value Delivered to the Client:

• Improved Reservoir Insights – By accurately quantifying aquifer properties and tracking pressure depletion, the client gained a clearer understanding of reservoir energy dynamics.
• Validated STOOIP & Enhanced Forecasting – The dynamic study provided greater confidence in reserves estimates, optimizing field development planning.
• Cost Savings & Asset Optimization – With a more precise reserves forecast, the client could strategically sequence asset development, reducing costs and maximizing overall field value.

Through advanced modeling and data-driven analysis, Flowgrids equipped the client with the insights needed to make smarter, more profitable development decisions.