Accurately predicting the production rate and estimated ultimate recovery(EUR)of shale oil wells is vital for efficient shale oil development.Although numerical simulations provide accurate predictions,their high time...Accurately predicting the production rate and estimated ultimate recovery(EUR)of shale oil wells is vital for efficient shale oil development.Although numerical simulations provide accurate predictions,their high time,data,and labor demands call for a swifter,yet precise,method.This study introduces the DuongeCNNeLSTM(D-C-L)model,which integrates a convolutional neural network(CNN)with a long short-term memory(LSTM)network and is grounded on the empirical Duong model for physical constraints.Compared to traditional approaches,the D-C-L model demonstrates superior precision,efficiency,and cost-effectiveness in predicting shale oil production.展开更多
目的研究海南含羞草(M im osa pudica)的化学成分。方法利用D iaion HP-20,Toyopearl HW-40,MC I-Gel CHP-20,Sephadex LH-20,RP18及硅胶等柱色谱法对海南含羞草成分进行分离纯化,根据理化性质和光谱数据鉴定化合物的结构。结果分离鉴定...目的研究海南含羞草(M im osa pudica)的化学成分。方法利用D iaion HP-20,Toyopearl HW-40,MC I-Gel CHP-20,Sephadex LH-20,RP18及硅胶等柱色谱法对海南含羞草成分进行分离纯化,根据理化性质和光谱数据鉴定化合物的结构。结果分离鉴定了4个化合物:7,8,3,′4′-四羟基-6-C-[α-L-鼠李糖-(1→2)]-β-D-葡糖黄酮碳苷(I),5,7,4′-三羟基-8-C-[α-L-鼠李糖(1→2)]-β-D-葡糖黄酮碳苷(II),5,7,3,′4′-四羟基-6-C-[α-L-鼠李糖-(1→2)]-β-D-葡糖黄酮碳苷(III),儿茶素(IV)。结论化合物I为新化合物,化合物II^IV为首次从该植物中分离得到。展开更多
基金funded by the National Natural Science Foundation of China(No.51974356).
文摘Accurately predicting the production rate and estimated ultimate recovery(EUR)of shale oil wells is vital for efficient shale oil development.Although numerical simulations provide accurate predictions,their high time,data,and labor demands call for a swifter,yet precise,method.This study introduces the DuongeCNNeLSTM(D-C-L)model,which integrates a convolutional neural network(CNN)with a long short-term memory(LSTM)network and is grounded on the empirical Duong model for physical constraints.Compared to traditional approaches,the D-C-L model demonstrates superior precision,efficiency,and cost-effectiveness in predicting shale oil production.
文摘目的研究海南含羞草(M im osa pudica)的化学成分。方法利用D iaion HP-20,Toyopearl HW-40,MC I-Gel CHP-20,Sephadex LH-20,RP18及硅胶等柱色谱法对海南含羞草成分进行分离纯化,根据理化性质和光谱数据鉴定化合物的结构。结果分离鉴定了4个化合物:7,8,3,′4′-四羟基-6-C-[α-L-鼠李糖-(1→2)]-β-D-葡糖黄酮碳苷(I),5,7,4′-三羟基-8-C-[α-L-鼠李糖(1→2)]-β-D-葡糖黄酮碳苷(II),5,7,3,′4′-四羟基-6-C-[α-L-鼠李糖-(1→2)]-β-D-葡糖黄酮碳苷(III),儿茶素(IV)。结论化合物I为新化合物,化合物II^IV为首次从该植物中分离得到。
