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Optimal design of drilling fluid formula based on CBR

机译:基于CBR的钻井液配方的最优设计

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摘要

Case-Based Reasoning (CBR) is a most promising direction in artificial intelligence field. To bring actual case reasoning tech into drilling fluid formula optimal design, and to join the actual course, it is the first time to adopt a mixed searching strategy that involves knowledge guided method, nearest neighbor method and improved range similarity match method. To be exact, first to find the similar drilling fluid type, then to modify its performance parameter value till maximum optimized and rematch, finally get the most optimal drilling fluid formula. Such design method can largely improve the efficiency and accuracy of drilling fluid formula.
机译:基于案例的推理(CBR)是人工智能领域最有希望的方向。为了将实际案例推理技术带入钻孔流体公式最佳设计,并加入实际课程,是第一次采用混合搜索策略,涉及知识引导方法,最近邻法和改进的范围相似性匹配方法。要准确,首先要找到类似的钻孔流体型,然后修改其性能参数值,直到最大优化和重新分离,最终获得最佳的钻孔流体配方。这种设计方法可以大大提高钻孔流体配方的效率和准确性。

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