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1
The Micro-Occurrence Mechanisms of Tight Oil: Fluid–Rock Interactions at Microscale Pores, Nanoscale Pores, and Mineral Surfaces
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Article
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The Micro-Occurrence Mechanisms of Tight Oil: Fluid–Rock Interactions at Microscale Pores, Nanoscale Pores, and Mineral Surfaces

Energies (Basel), 2023-05, Vol.16 (9), p.3917 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1996-1073 ;EISSN: 1996-1073 ;DOI: 10.3390/en16093917

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2
Construction and application of an ontology-based domain-specific knowledge graph for petroleum exploration and development
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Article
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Construction and application of an ontology-based domain-specific knowledge graph for petroleum exploration and development

Di xue qian yuan., 2023-09, Vol.14 (5), p.101426, Article 101426 [Peer Reviewed Journal]

2022 China University of Geosciences (Beijing) and Peking University ;ISSN: 1674-9871 ;DOI: 10.1016/j.gsf.2022.101426

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3
Research on Travelers' Travel Behaviour in Urban Central Business Districts Based on Nested Logit Model
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Article
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Research on Travelers' Travel Behaviour in Urban Central Business Districts Based on Nested Logit Model

Journal of physics. Conference series, 2020-08, Vol.1616 (1), p.12057 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1616/1/012057

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4
Hybrid Data-driven Framework for Shale Gas Production Performance Analysis via Game Theory, Machine Learning and Optimization Approaches
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Article
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Hybrid Data-driven Framework for Shale Gas Production Performance Analysis via Game Theory, Machine Learning and Optimization Approaches

arXiv.org, 2022-06

2022. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;http://arxiv.org/licenses/nonexclusive-distrib/1.0 ;EISSN: 2331-8422 ;DOI: 10.48550/arxiv.2112.04243

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5
Spectacle case
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Patent
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Spectacle case

Digital Resources/Online E-Resources

6
Method and device for improving transaction efficiency of multi-level intelligent contract
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Patent
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Method and device for improving transaction efficiency of multi-level intelligent contract

Digital Resources/Online E-Resources

7
Cargo transportation time limit optimal route optimization method
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Patent
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Cargo transportation time limit optimal route optimization method

Digital Resources/Online E-Resources

8
Shale gas productivity prediction and development scheme optimization method
Material Type:
Patent
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Shale gas productivity prediction and development scheme optimization method

Digital Resources/Online E-Resources

9
Quantitative analysis method for main control factors of shale gas productivity and electronic equipment
Material Type:
Patent
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Quantitative analysis method for main control factors of shale gas productivity and electronic equipment

Digital Resources/Online E-Resources

10
Installation positioner of pressure of surrounding rock box
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Patent
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Installation positioner of pressure of surrounding rock box

Digital Resources/Online E-Resources

11
Mounting positioning device of surrounding rock pressure cell
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Patent
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Mounting positioning device of surrounding rock pressure cell

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  1. Peer-reviewed Journals (3)

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