Yuping Sun

ORCID: 0000-0002-0170-5382
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About
Contact & Profiles
Research Areas
  • Hydraulic Fracturing and Reservoir Analysis
  • Hydrocarbon exploration and reservoir analysis
  • Reservoir Engineering and Simulation Methods
  • Drilling and Well Engineering
  • Oil and Gas Production Techniques
  • Seismic Imaging and Inversion Techniques
  • Atmospheric and Environmental Gas Dynamics
  • Enhanced Oil Recovery Techniques
  • Geological Studies and Exploration
  • Coal Properties and Utilization
  • Global Energy Security and Policy
  • Methane Hydrates and Related Phenomena
  • Global Energy and Sustainability Research
  • Grey System Theory Applications
  • Image Retrieval and Classification Techniques
  • Copper-based nanomaterials and applications
  • NMR spectroscopy and applications
  • Advanced Computational Techniques and Applications
  • Industrial Vision Systems and Defect Detection
  • Petroleum Processing and Analysis
  • Advanced Photocatalysis Techniques
  • Perovskite Materials and Applications
  • Educational Technology and Pedagogy
  • Geological Modeling and Analysis
  • Geochemistry and Geologic Mapping

Research Institute of Petroleum Exploration and Development
2011-2024

Shanxi Agricultural University
2024

The estimated ultimate recovery (EUR) of shale gas wells is influenced by many factors, and the accurate prediction still faces certain challenges. As an artificial intelligence algorithm, deep learning yields notable advantages in nonlinear regression. Therefore, it feasible to predict EUR based on a deep-learning algorithm. In this paper, according geological evaluation data, hydraulic fracturing production data results 282 WY field, deep-learning-based algorithm for was designed realized....

10.1016/j.petsci.2021.08.007 article EN cc-by Petroleum Science 2021-08-18

The estimate ultimate recovery (EUR) of shale gas in individual well is affected by many factors so that it difficult to predict accurately. Data-driven methods based on geological and engineering parameters are currently one the mainstream for predicting EUR. However, importance early data from wells often overlooked. Therefore, this research set out use data, including production flowback rate develop machine learning models. With ability analyze learning, controlling EUR have been...

10.1016/j.egyr.2021.12.040 article EN cc-by-nc-nd Energy Reports 2021-12-30

To identify the type of main flow channels complex porous media in oil and gas reservoirs, "main channel index" is defined as ratio comprehensive permeability obtained from well test to matrix core analysis or logging. Meanwhile, a mathematical model established based on equivalent assumption, classification method for put forward, quantitative characterization realized. The has been verified by typical reservoirs. study results show that can quantitatively classify types channels. If index...

10.1016/s1876-3804(19)60256-9 article EN cc-by-nc-nd Petroleum Exploration and Development 2019-10-01

In order to overcome the defects that multi-well typical curves analysis of shale gas reservoirs is rarely applied engineering, this study proposes a robust production data method based on deconvolution, which used for inter-well interference research. study, conceptual trilinear seepage model multi-stage fractured horizontal wells was established, and its Laplace solutions under two different outer boundary conditions were obtained. Then, an improved pressure deconvolution algorithm...

10.1016/j.petsci.2024.03.003 article EN cc-by-nc-nd Petroleum Science 2024-03-08

The gas transport in shale nanopores is always one of the major concerns terms development reservoirs. In this study, flow regimes were classified and analyzed according to Knudsen number. Then model considering Darcy flow, slip transition molecular free adsorption effect was proposed evaluate behavior nanopores. result shows that contributions are reciprocal, mainly dominated by pore radius pressure. greatly influences total mass flux. flux will increase as Langmuir pressure temperature...

10.3390/en10060751 article EN cc-by Energies 2017-05-27

Natural gas from ultra-deep reservoirs has been a major contributor for reserves boost, deliverability construction, and profits growth in natural industry China. As significant strategic domain the future development of upstream business, high-quality resources great significance economic benefits enhancement sustained regional supply assurance. In this paper, based on appraisal characteristics effectiveness developed large fields, challenges high quality were indicated, which include...

10.1016/j.ngib.2020.09.008 article EN cc-by-nc-nd Natural Gas Industry B 2020-10-01

The estimated ultimate recovery (EUR) of a single shale gas well is one the important evaluation indicators for scale and benefit development gas, which affected by many factors such as geological engineering, so its accurate prediction difficult. In order to realize recovery, this study considered 172 wells in Weiyuan block samples selected 19 engineering that affect wells. Furthermore, eight key controlling were means Pearson correlation coefficient maximum mutual information comprehensive...

10.3390/en14051461 article EN cc-by Energies 2021-03-07

A major challenge in transient pressure analysis for shale gas wells is their complex flow behavior and fracturing parameters. While numerical simulations offer high accuracy, analytical models are attractive due to computational efficiency broad applicability. However, traditional often oversimplified, making it difficult capture the seepage system, three-dimensional fracture characteristics seldom considered. To address these limitations, this study presents a comprehensive hybrid model...

10.3390/pr12020286 article EN Processes 2024-01-28

10.1016/j.petrol.2021.109800 article EN Journal of Petroleum Science and Engineering 2021-11-03

Accurate prediction of shale gas well production and estimated ultimate recovery (EUR) is always a difficult hot spot in development. In particular, the EUR wells new blocks are faced with lack field data difficulty model view above problems, this study proposes deep transfer learning strategy, which uses component analysis (TCA) neural network (DNN) to achieve across formations/blocks. The feature extractor based on TCA can narrow input distribution source target domains. be used establish...

10.1021/acs.energyfuels.3c00234 article EN Energy & Fuels 2023-03-28

Based on rock samples of tight oil reservoirs in the buried hills North China, conventional gas flooding and high-speed centrifugal experiments at different pressures were carried out. Combined with nuclear magnetic resonance experiments, an evaluation method production potential fractured porous media was established to quantitatively study target reservoirs. Results indicated that “gas fingering phenomenon” is serious cores even under low because fractures. With increase pressure, changes...

10.1063/1.5089157 article EN Physics of Fluids 2019-05-01

Tremendous reserves of shale gas resources exhibit broad development prospects in southern Sichuan, China. "Horizontal well + hydraulic fracturing" is taken as the principal means reservoirs development. The design fracturing parameters great importance for formation and extension artificial fractures. With Well Area X reservoir from Ordovician Wufeng Formation to Silurian Longmaxi Luzhou, China, an example. This paper identifies fracture-related characterization parameters, presents a...

10.1016/j.egyr.2022.08.003 article EN cc-by-nc-nd Energy Reports 2022-08-13

As an important type of unconventional hydrocarbon, tight sandstone oil has great present and future resource potential. Reservoir quality evaluation is the basis development. A comprehensive approach based on gray correlation algorithm established to effectively assess reservoir quality. Seven samples from Chang 6 in W area AS oilfield Ordos Basin are employed. First, petrological physical characteristics study briefly discussed through thin section observations, electron microscopy...

10.1177/0144598721998510 article EN cc-by Energy Exploration & Exploitation 2021-03-22

The successful development of shale gas industry in China has a significant impact on China's energy consumption structure and the world market. Based socio-technical transition theory, this study defines as system natural driven by technological innovation management innovation. From multi-level perspective, systematically analyzes co-evolution dynamics multiple factors industry, further proposes scenarios using method. results show that generally relatively favorable environment, but it...

10.1016/j.esr.2022.100990 article EN cc-by-nc-nd Energy Strategy Reviews 2022-11-01

Horizontal wells’ multi-section and multi-cluster hydraulic fracturing plays an important role in the efficient development of shale gas. However, influence perforating hole natural fracture dip angle on process initiation propagation has been ignored current researches. This paper presents results related to a tri-axial large-scale experiment under different parameters. We discuss experimental relating near-wellbore tortuosity fractures. Experimental showed that triaxial principal stress...

10.3390/pr11071934 article EN Processes 2023-06-27

The peaks of natural gas production are great significance to the planning national energy strategy, coordinated development industry chain and investment decision-making for oil companies. Therefore, based on geological characteristics, conventional (including tight gas), CBM shale in China have been systematically analyzed forecasted using multiple methods. following conclusions drawn: first, cumulative will reach 280–330 bcm by 2035 330–410 2050; second, be easily predicable during...

10.1016/j.ngib.2018.01.011 article EN cc-by-nc-nd Natural Gas Industry B 2018-07-01

Low-permeability reservoirs are important to the future growth of oil and gas reserves production in China. Predicting effective stress, σe, is vitally due its considerable impact on reservoir development through hydraulic fracturing. This paper presents methods for predicting σe field ultralow-permeability reservoir–geomechanics coupling, which involve simulation coupling tectonic stress σ pore pressure Pp fields based three-dimensional (3D) geological models. First, 3D models were...

10.3390/pr10040633 article EN Processes 2022-03-24
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