Proxy Modeling
The Challenge
Accurately allocating production to individual layers or flow units in multi-zone reservoirs is critical for reservoir understanding, forecasting, and optimization. In fields where injection and production are commingled or where selectivity is limited, engineers often struggle to determine what volume came from which layer. Without proper allocation, reservoir management decisions are based on incomplete or biased data.
The Problem
Manual or empirical allocation methods are time-consuming, inconsistent, and prone to error. They often fail to reflect physical flow behavior or keep pace with dynamic operations. This leads to uncertainty in recovery tracking, inaccurate forecasts, and inefficiencies in field planning. The complexity grows with the number of layers, well count, and operational changes over time.
The Solution
Our subsurface back allocation workflow combines fundamental reservoir physics with historical production and injection data to calculate unbiased, layer-level production estimates. By integrating material balance, Darcy's law, and PVT properties, the approach delivers high-resolution allocation results that align with field history and support better planning decisions. This methodology enables engineers to improve forecasting, track recovery more accurately, and streamline field development strategies.
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