Yuedong Yao

ORCID, self-asserted

ORCID 0000-0003-4319-8806

Publications

Citations

247

h-index

Computed over the works the graph holds, so it is a floor rather than a career figure.

i10-index

Publications

11 works in the graph, newest first.

A critical review on intelligent optimization algorithms and surrogate models for conventional and unconventional reservoir production optimization
2023FuelJournal85 citations10.1016/j.fuel.2023.128826
A novel high-dimension shale gas reservoir hydraulic fracture network parameters optimization framework
2023Geoenergy Science and EngineeringJournalFirst author10 citations10.1016/j.geoen.2023.212155
A hybrid surrogate-assisted integrated optimization of horizontal well spacing and hydraulic fracture stage placement in naturally fractured shale gas reservoir
2022Journal of Petroleum Science and EngineeringJournalCorresponding27 citations10.1016/j.petrol.2022.110842
A novel self-adaptive multi-fidelity surrogate-assisted multi-objective evolutionary algorithm for simulation-based production optimization
2022Journal of Petroleum Science and EngineeringJournalCorresponding25 citations10.1016/j.petrol.2022.110111
Optimization design of horizontal well fracture stage placement in shale gas reservoirs based on an efficient variable-fidelity surrogate model and intelligent algorithm
2022Energy ReportsJournalOpen accessCorresponding25 citations10.1016/j.egyr.2022.02.228
Data-driven multi-objective optimization design method for shale gas fracturing parameters
2022Journal of Natural Gas Science and EngineeringJournalCorresponding23 citations10.1016/j.jngse.2022.104420
Integrated optimization design for horizontal well spacing and fracture stage placement in shale gas reservoir
2022Journal of Natural Gas Science and EngineeringJournalCorresponding22 citations10.1016/j.jngse.2022.104706
An Integrated Approach for History Matching of Complex Fracture Distributions for Shale Oil Reservoirs Based on Improved Adaptive Particle Filter
2022SPE JournalJournalCorresponding17 citations10.2118/212829-pa
An intelligent multi-fidelity surrogate-assisted multi-objective reservoir production optimization method based on transfer stacking
2022Computational GeosciencesJournalCorresponding7 citations10.1007/s10596-022-10160-8
A rapid intelligent multi-fidelity surrogate-assisted multi-objective optimization method for water-flooding reservoir production optimization
2022Arabian Journal of GeosciencesJournal6 citations10.1007/s12517-022-09575-5
A Rapid Multi-Objective Intelligent Decision Method for Shale Gas Fracturing Parameters Based on Machine Learning: A Case Study in the Changning Reservoir
2022Day 1 Mon, February 21, 2022Publication0 citations10.2523/iptc-22026-ms