Self-adaptive well pattern optimization method based on gradient algorithm
A gradient algorithm and optimization method technology, applied in computing, data processing applications, instruments, etc., can solve problems such as poor globality, low precision, and low computational efficiency
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[0144] According to the above method, an adaptive well pattern optimization method based on gradient algorithm in an oilfield includes the following steps:
[0145] Step 1. Obtain reservoir data, establish a three-dimensional digital reservoir geological model, and perform reservoir numerical simulation.
[0146] Select a representative theoretical model example to build a reservoir geological model, divide the entire reservoir into a set of development layers, collect dynamic and static data (reservoir, fluid, oil and water wells, etc.), and establish a three-dimensional heterogeneous reservoir numerical simulation The model contains a total of 50×50×1 grids, and the grid size is 7.5×7.5×6 meters, such as Figure 16 shown.
[0147] Step 2, construct adaptive regular well pattern unit and generate well pattern.
[0148] Five-point well pattern: set the well pattern unit size (a=75m, b=52.5m), well pattern unit size variation (Δa=0, Δb=0), well pattern unit angle (θ=0), Unit...
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