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Abstract

Summary

The developed geoengineering tool aims at improving the decision-making of deviated well positions to increase mature field production. It is based on statistical and visual analysis of oil field features. The main advantage of this method is its reservoir-engineer focus and that no additional flow simulations are needed unlike most of iterative optimization algorithms requiring thousands of simulations. Moreover, this methodology is not constrained by a well geometry, but proposes well placements and trajectories which are the most interesting considering the studied oil field features. For deviated wells, the drilling is not constrained by a fixed direction (horizontal or vertical), its direction is function of available resources (non-communicating oil-rich layers or disconnected oil-rich areas). In practice, this kind of wells are difficult to position manually by reservoir engineer. Here, we use information from field features and their classification to define a profitable well trajectory to maximize the oil production.

The field features are either static (e.g. anisotropy) or dynamic reservoir characteristics, e.g. mobile oil thickness, time-of-flight… To facilitate their analyses, an automatic, statistical analysis is performed on these features by unsupervised classification of the grid cells. A 3D-grid of classes indices, depending on the combination of the features, is obtained. This grid allows to identify the areas of interest for production. A specific visualization of potential field production capacities is proposed by defining and calculating geobodies. They are defined by groups of connected cells with the most interesting features. While these connections are hardly viewable in 3D, the geobody calculation allows to display the areas of interest and their compartmentalization.

The geobody with the highest quality index should be the first area-to-be-drained. The proposed trajectory will start at the cell with the highest quality index in this geobody. The quality indexes are calculated using a movering-average method. The trajectory is calculated with a Dijkstra algorithm, weighted by the quality indexes of cells and geobodies and constrained by a maximum well length.

This methodology was first applied on a synthetic case then on a real field case of North Africa, for which a standard reservoir engineer study had already been performed. The geoengineering tool results were compared to the reservoir engineering study results. This tool allowed to identify the high potential areas and proposed a well trajectory and placement with the most promising features according to the field constraints, improving the oil production while limiting the computational cost.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.202035062
2020-09-14
2024-04-25

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References

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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.202035062
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Geoengineering Tool for Field Development: A Decision-Making Tool for Deviated Well Placement
Conference Proceedings 2020, 1 (2020); https://doi.org/10.3997/2214-4609.202035062
/content/papers/10.3997/2214-4609.202035062
/content/papers/10.3997/2214-4609.202035062
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