Well Log Generation via Ensemble Long Short-Term Memory (EnLSTM) Network

Chen，Yuntian1; Zhang，Dongxiao2

2020-12-16

10.1029/2020GL087685

GEOPHYSICAL RESEARCH LETTERS   影响因子和分区

0094-8276

1944-8007

In this study, we propose an ensemble long short-term memory (EnLSTM) network, which can be trained on a small data set and process sequential data. The EnLSTM is built by combining the ensemble neural network and the cascaded LSTM network to leverage their complementary strengths. Two perturbation methods are applied to resolve the issues of overconvergence and disturbance compensation. The EnLSTM is compared with commonly used models on a published data set and proven to be the state-of-the-art model in generating well logs. In the case study, 12 well logs that cannot be measured while drilling are generated based on the logs available in the drilling process. The EnLSTM is capable of reducing cost and saving time in practice.

few-shot learning logging-while-drilling LSTM sequential data well log

SCI ; EI

英语

NI期刊

通讯

National Natural Science Foundation of China[51520105005,"U1663208"]

Geology

Geosciences, Multidisciplinary

WOS:000598677000041

AMER GEOPHYSICAL UNION

20205109623471

Perturbation techniques ; Brain ; Long short-term memory ; Infill drilling

Biomedical Engineering:461.1 ; Oil Field Production Operations:511.1 ; Petroleum Deposits : Development Operations:512.1.2 ; Mathematics:921

GEOSCIENCES

2-s2.0-85097583793

Scopus

1.Intelligent Energy Laboratory,Frontier Research Center,Peng Cheng Laboratory,Shenzhen,China
2.School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,China

Chen，Yuntian,Zhang，Dongxiao. Well Log Generation via Ensemble Long Short-Term Memory (EnLSTM) Network[J]. GEOPHYSICAL RESEARCH LETTERS,2020,47(23).

Chen，Yuntian,&Zhang，Dongxiao.(2020).Well Log Generation via Ensemble Long Short-Term Memory (EnLSTM) Network.GEOPHYSICAL RESEARCH LETTERS,47(23).

Chen，Yuntian,et al."Well Log Generation via Ensemble Long Short-Term Memory (EnLSTM) Network".GEOPHYSICAL RESEARCH LETTERS 47.23(2020).