Machine learning seismic reservoir prediction method based on virtual sample generation
Petroleum Science, 2021 Seismic reservoir prediction plays an important role in oil exploration and development. With the progress of arti fi cial intelligence, many achievements have been made in machine learning seismic reservoir prediction. However, due to the factors such as
Kaiheng Sang, X. Yin, Fanchang Zhang
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Optimizing quantum noise-induced reservoir computing for nonlinear and chaotic time series prediction [PDF]
Scientific Reports, 2023 Quantum reservoir computing is strongly emerging for sequential and time series data prediction in quantum machine learning. We make advancements to the quantum noise-induced reservoir, in which reservoir noise is used as a resource to generate ...
D. Fry +4 more
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Energies, 2022 Porosity is a vital parameter in reservoir research. In the process of oil exploration, reservoir research is very important for oil and gas exploration.
Youzhuang Sun +4 more
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Energies, 2023 Prestack depth-migrated seismic data, having more accurate imaging position and amplitude fidelity than prestack time-migrated seismic data, are supposed to produce a higher quality reservoir prediction result by using depth-domain inversion.
J. Hao +4 more
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Thickness prediction of seismic multi-attributes sand based on association rules and random forests
地质科技通报, 2021 Seismic attributes analysis technique is an important tool for sand thickness prediction. Due to the varieties of seismic attributes, the best seismic attributes need to be optimized before the seismic attributes analysis technique is applied to reduce ...
Zhipeng Qu +3 more
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Application of depth learning in prediction of glutenite reservoir [PDF]
E3S Web of Conferences, 2022 Sedimentary facies of gravel reservoir has the characteristics of multiple sources and short flow. Sand body thickness changes rapidly in plane and space.
Dong Meng
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An Application of Elastic-Net Regularized Linear Inverse Problem in Seismic Data Inversion
Applied Sciences, 2023 In exploration geophysics, seismic impedance is a physical characteristic parameter of underground formations. It can mark rock characteristics and help stratigraphic analysis.
Ronghuo Dai, Cheng Yin, Da Peng
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Research of “double desserts” seismic prediction method for tight sandstone - Taking Linxing block on the east edge of Ordos Basin as an example [PDF]
E3S Web of Conferences, 2020 The determination of the sweet spot of tight sandstone reservoir is the primary problem in the exploration and development of tight sandstone reservoir.
junlin Zhang +5 more
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Research progress of paleokarst oil and gas reservoirs
Carsologica Sinica, 2022 The transformation of soluble rocks by paleokarst can form dissolution pores and other reservoir spaces. Especially for carbonate rocks, the development of paleokarst can greatly improve the reservoir performance of the formation and form karst ...
Yu ZHANG +3 more
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Reservoir Computing with Diverse Timescales for Prediction of Multiscale Dynamics [PDF]
Physical Review Research, 2021 Machine learning approaches have recently been leveraged as a substitute or an aid for phys-ical/mathematical modeling approaches to dynamical systems.
G. Tanaka +3 more
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