Robust optimization of geoenergy production using data-driven deep recurrent auto-encoder and fully-connected neural network proxy
C Xiao, S Zhang, Y Hu, X Gu, X Ma, T Zhou… - Expert Systems with …, 2024 - Elsevier
Robust and efficient optimization of post-history well production schedule under history-
matched geomodel known as closed-loop production management is crucial to achieve …
matched geomodel known as closed-loop production management is crucial to achieve …
Machine-learning-based well production prediction under geological and hydraulic fracture parameters uncertainty for unconventional shale gas reservoirs
C Xiao, G Wang, Y Zhang, Y Deng - Journal of Natural Gas Science and …, 2022 - Elsevier
Shale gas production prediction under history-matching-based geomodel is crucial to
achieve reliable assessment and economic management of unconventional shale …
achieve reliable assessment and economic management of unconventional shale …
[HTML][HTML] Simultaneous inversion of permeability, skin and boundary from pressure transient test data in three-dimensional single well reservoir model
A Kumar, L Liang, K Ojha - Petroleum Research, 2024 - Elsevier
This study presents a novel approach for simultaneous inversion of the key reservoir
parameters like horizontal permeability, vertical permeability, skin, and boundary distances …
parameters like horizontal permeability, vertical permeability, skin, and boundary distances …
Deep-learning-generalized data-space inversion and uncertainty quantification framework for accelerating geological CO2 plume migration monitoring
C Xiao, S Zhang, X Ma, T Zhou, T Hou… - Geoenergy Science and …, 2023 - Elsevier
Efficient coupling of high-fidelity simulation models and history-monitored data to predict
future migration behavior of CO 2 plume is crucial for leakage risk management and …
future migration behavior of CO 2 plume is crucial for leakage risk management and …
A deep learning framework using graph convolutional networks for adaptive correction of interwell connectivity and gated recurrent unit for performance prediction
L Du, Y Liu, L Xue, G You - SPE Reservoir Evaluation & Engineering, 2022 - onepetro.org
Oilfield development performance prediction is a significant and complex problem in oilfield
development. Reasonable prediction of oilfield development performance can guide the …
development. Reasonable prediction of oilfield development performance can guide the …
Machine learning prediction method for assessing water quality impacts on sandstone reservoir permeability and its application in energy development
X Song, Y Liu, Z Song, J Wang, X Yang, G Li… - International Journal of …, 2025 - Elsevier
Water quality is a key determinant of sandstone reservoir permeability, directly influencing
subsurface reservoir management and energy extraction efficiency. However, existing …
subsurface reservoir management and energy extraction efficiency. However, existing …
Robust production forecast and uncertainty quantification for waterflooding reservoir using hybrid recurrent auto-encoder and long short-term memory neural network
C Xiao, S Zhang, X Ma, T Zhou, T Hou… - Geoenergy Science and …, 2023 - Elsevier
History-matching-based production forecast and uncertainty quantification are essential to
achieve reliable risk assessment for waterflooding reservoir in the community of petroleum …
achieve reliable risk assessment for waterflooding reservoir in the community of petroleum …
基于数据驱动的油藏流场重构方法
冯高城， 李金蔓， 刘玉明， 尹彦君， 魏志勇， 张强… - 新疆石油地质, 2023 - zgxjpg.com
多层碎屑岩油藏稳油控水一直是油田开发的热点问题, 油田进入中—高含水期后产油量下降明显
, 平面剩余油分布零散, 层间开发矛盾突出, 迫切需要合适的优化调控方法使其持续稳产 …
, 平面剩余油分布零散, 层间开发矛盾突出, 迫切需要合适的优化调控方法使其持续稳产 …
Study of a high-precision complex 3D geological modelling method based on a fine KNN and kriging coupling algorithm: a case study for Jiangsu, China
X Liu, P Zhang, Y Guo, G Ma, M Liu - Frontiers in Earth Science, 2023 - frontiersin.org
A high-precision, complex, three-dimensional (3D) geological model can directly express
the attributes of stratum thickness, geological structure, lithology and spatial form, which can …
the attributes of stratum thickness, geological structure, lithology and spatial form, which can …
Fracture Spacing Optimization Method for Multi-Stage Fractured Horizontal Wells in Shale Oil Reservoir Based on Dynamic Production Data Analysis
W Liu, C Liu, Y Duan, X Yan, Y Sun, H Sun - Energies, 2023 - mdpi.com
In order to improve the shale oil production rate and save fracturing costs, based on dynamic
production data, a production-oriented optimization method for fracture spacing of multi …
production data, a production-oriented optimization method for fracture spacing of multi …