机译:利用机器学习融合多个频率分解的地震属性,用于熔狼水库中的厚度预测和沉积相解释
China Univ Petr State Key Lab Petr Resources &
Prospecting Beijing 102249 Peoples R China;
China Univ Petr State Key Lab Petr Resources &
Prospecting Beijing 102249 Peoples R China;
China Univ Petr State Key Lab Petr Resources &
Prospecting Beijing 102249 Peoples R China;
China Univ Petr State Key Lab Petr Resources &
Prospecting Beijing 102249 Peoples R China;
China Univ Petr State Key Lab Petr Resources &
Prospecting Beijing 102249 Peoples R China;
SINOPEC Shengli Oil Field Co Dongying 257015 Shandong Peoples R China;
SINOPEC Shengli Oil Field Co Dongying 257015 Shandong Peoples R China;
Fluvial reservoirs; Spectral decomposition; Seismic attributes; Machine learning; RGB blending; Sand thickness;
机译:利用机器学习融合多个频率分解的地震属性,用于熔狼水库中的厚度预测和沉积相解释
机译:用SVR算法融合目标和相邻区域的地震属性来实现高分辨率地层解释的厚度预测
机译:西南堪萨斯州中提琴石灰岩水库质量控制岩石缩放因子及无监督机器学习方法 - 分类
机译:基于AVO属性分析的河流相藏储存器预测
机译:德克萨斯州沃斯堡盆地堡垒盆地地震属性的应力预测,裂缝检测及多属性分析
机译:解释机器学习预测对电子健康记录中患者结果的影响
机译:地震水库在沉积相中的应用