[HTML][HTML] A systematic review and meta-analysis of artificial neural network, machine learning, deep learning, and ensemble learning approaches in field of …
E Yaghoubi, E Yaghoubi, A Khamees… - Neural Computing and …, 2024 - Springer
Artificial neural networks (ANN), machine learning (ML), deep learning (DL), and ensemble
learning (EL) are four outstanding approaches that enable algorithms to extract information …
learning (EL) are four outstanding approaches that enable algorithms to extract information …
[HTML][HTML] 面向地质导向的地层智能评价解决方案
田飞， 底青云， 郑文浩， 葛新民， 张文秀， 张江云… - 地球物理学报, 2023 - dsjyj.com.cn
地质导向系统基于井下实时测量的地质, 地球物理和钻井参数, 优化三维井轨迹到油气藏指定
位置以获得最大的泄油面积和最佳的采收率, 成为提高单井油气产量和油田开发效益的前沿技术 …
位置以获得最大的泄油面积和最佳的采收率, 成为提高单井油气产量和油田开发效益的前沿技术 …
Multistep-Ahead Prediction of Logging-While-Drilling Resistivity Curves Based on Seismic-Guided Seq2Seq-Long Short-Term Memory
L Zhang, H Zhang, X Zhu, F Zeng, L Yan - SPE Journal, 2024 - onepetro.org
High-temperature and high-pressure reservoirs in complex geological conditions present
primary targets and significant challenges in deepsea oil and gas exploration. Limited …
primary targets and significant challenges in deepsea oil and gas exploration. Limited …
A formation intelligent evaluation solution for geosteering
Geosteering system is the optimal placement of a three-dimensional well trajectory based on
the results of real-time downhole geological, geophysical and drilling parameters, aiming to …
the results of real-time downhole geological, geophysical and drilling parameters, aiming to …