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Fig 3 - Prediction of the continuous probability of sand screen-out based on a deep learning workflow

Fig. 3 Promoted predictions of screen-out probability by model inputs optimization based on (a) Well A, (b) Well B, (c) Well C and (d) Well D. The inputs of the model are consist of the original measurements and three optimized indicators (Vs/Vf + DPP + ΔP/ΔVf). The blue dashed circle marks the false alarm of the screen-out in the Wells C and D cases. The solid orange line is the labelled screen-out probability curve. The dashed line is the predicted probability curve.
Promoted predictions of screen-out probability by model inputs optimization based on (a) Well A, (b) Well B, (c) Well C and (d) Well D. The inputs of the model are consist of the original measurements and three optimized indicators (Vs/Vf + DPP + ΔP/ΔVf). The blue dashed circle marks the false alarm of the screen-out in the Wells C and D cases. The solid orange line is the labelled screen-out probability curve. The dashed line is the predicted probability curve.
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