Decline Curve Model for Hydrocarbon Production Allocation
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Solution Overview
Problem
Existing methods struggle to accurately allocate hydrocarbon production values on a well-by-well basis within multi-well areas, leading to difficulties in determining periodic production values and potential misinterpretation of operational events due to aggregated reporting.
Innovation Solution
A computer-implemented method using a deterministic decline curve model that accounts for geology and incorporates pending and sales production data to allocate hydrocarbon production values, shifting and aggregating values to generate well-level production estimates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If aggregated production values are reported for multi-well areas, then reporting simplicity is improved, but well-by-well production determination accuracy deteriorates
Solution Approach 1:
The patent segments the aggregated production data into individual well-level production values by applying decline curve models to each well. This allows the system to maintain simple aggregated reporting while deriving precise well-by-well production estimates through mathematical modeling and data allocation.
2Measurement precision
If decline curve modeling is applied to allocate production values, then well-by-well production accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent changes parameters such as decline rates, initial production values, and time variables to model production behavior. By adjusting these parameters within the decline curve model, the system accurately allocates production values without requiring overly complex computational structures.
3Quantity of substance
If multiple wells are considered in aggregated areas, then production data completeness is improved, but individual well production identification difficulty increases
Solution Approach 1:
The patent introduces decline curve models as intermediary mathematical representations that bridge aggregated production data and individual well production. These models act as mediators that translate incomplete aggregated data into complete well-level production estimates by incorporating geological and operational parameters.
Data Source
AI summary
Techniques for allocating hydrocarbon production include receiving a selection of a particular area identification (ID) of a plurality of area IDs stored on the server; determining based on the selected particular area ID, a plurality of hydrocarbon production values that include periodic area-level hydrocarbon production values associated with the particular area ID and a plurality of wells associated with the particular area ID; determining a decline curve model for the area-level hydrocarbon production values associated with the particular area ID; modeling the aggregated periodic well-level hydrocarbon production values with the determined decline curve model; and determining allocated well-level hydrocarbon production values based at least in part on the selected decline curve model to display at a client device.