Value-aware meta-transfer learning and convolutional mask attention networks for reservoir identification with limited data
B Chen, X Zeng, J Zhou, W Zhang, S Cao… - Expert Systems with …, 2023 - Elsevier
Reservoir identification is important for reservoir evaluation and petroleum development.
Existing methods cannot automatically identify the categories of the reservoir that exhibit:(a) …
Existing methods cannot automatically identify the categories of the reservoir that exhibit:(a) …
A new method for predicting formation lithology while drilling at horizontal well bit
J Sun, M Chen, Q Li, L Ren, M Dou, J Zhang - Journal of Petroleum Science …, 2021 - Elsevier
Highlights•A new method for real-time prediction of measurement point and vertical reservoir
boundary distance (D-MP-VRB) while drilling is proposed. Real-time prediction models for D …
boundary distance (D-MP-VRB) while drilling is proposed. Real-time prediction models for D …
Prediction models establishment and comparison for guiding force of high-temperature superconducting maglev based on deep learning algorithms
Due to the merits of self-stability and low energy consumption, high-temperature
superconducting (HTS) maglev has the potential to become a novel type of transportation …
superconducting (HTS) maglev has the potential to become a novel type of transportation …
Identification of porosity and permeability while drilling based on machine learning
J Sun, R Zhang, M Chen, B Chen, X Wang, Q Li… - Arabian Journal for …, 2021 - Springer
The predictions of porosity and permeability from well logging data are important in oil and
gas field development. Currently, many scholars use machine learning algorithms to predict …
gas field development. Currently, many scholars use machine learning algorithms to predict …
Application of genetic algorithm on data driven models for optimized ROP prediction
D Duru, A Kerunwa, J Odo - SPE Nigeria Annual International …, 2022 - onepetro.org
The demand for cost-effective drilling operations in oil and gas exploration is ever growing.
One of the important aspects to tackling the aforementioned difficulty is determining the …
One of the important aspects to tackling the aforementioned difficulty is determining the …
Real-time updating method of local geological model based on logging while drilling process
J Sun, R Zhang, M Chen, Q Li, Y Sun, L Ren… - Arabian Journal of …, 2021 - Springer
The updating of reservoir geological models has become a research hotspot. Nevertheless,
two difficulties continue to hinder the development of reservoir geological model updating …
two difficulties continue to hinder the development of reservoir geological model updating …
Study of Forecasting and Estimation Methodology of Oilfield Development Cost Based on Machine Learning
S Mingyu, W Jianjun, Y Chenggao, C Rong… - … and Technology of …, 2021 - Springer
Due to the oil price fluctuations in recent decades, international and national oil companies
have developed programs of strategically oriented development and assets optimization …
have developed programs of strategically oriented development and assets optimization …