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arXiv Machine Learning By Zhiyu Guo, Jiwei Jia, Lei Li

CoGameReg: Cooperative-Game-Based Collaborative Semi-Supervised Regression for Seismic Reservoir Property Prediction

Read the original on arXiv Machine Learning →

CoGameReg is a cooperative‑game‑based semi‑supervised regression framework that fuses heterogeneous regressors using contribution‑weighted predictions to generate shared pseudo‑labels for seismic reservoir property estimation. It employs a Tri‑Game Shapley mechanism to assign non‑negative weights from labeled data, keeps these weights fixed during collaborative training, and screens candidate pseudo‑labels with a local k‑nearest‑neighbor error‑reduction criterion before retraining. Evaluations on ten public datasets, a synthetic 3‑D P‑wave velocity task, and a field water‑saturation application show that CoGameReg achieves superior blind‑well metrics, especially at low labeled‑data ratios, with the highest Pearson correlation among compared field methods.

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