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Zhou S, Huang L, Wang G, Wang W, Zhao R, Sun X, Wang D. A review of the development in shale oil and gas wastewater desalination. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 873:162376. [PMID: 36828060 DOI: 10.1016/j.scitotenv.2023.162376] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Revised: 11/19/2022] [Accepted: 02/17/2023] [Indexed: 06/18/2023]
Abstract
The development of the shale oil and gas extraction industry has heightened concerns about shale oil and gas wastewater (SOGW). This review comprehensively summarizes, analyzes, and evaluates multiple issues in SOGW desalination. The detailed analysis of SOGW water quality and various disposal strategies with different water quality standards reveals the water quality characteristics and disposal status of SOGW, clarifying the necessity of desalination for the rational management of SOGW. Subsequently, potential and implemented technologies for SOGW desalination are reviewed, mainly including membrane-based, thermal-based, and adsorption-based desalination technologies, as well as bioelectrochemical desalination systems, and the research progress of these technologies in desalinating SOGW are highlighted. In addition, various pretreatment methods for SOGW desalination are comprehensively reviewed, and the synergistic effects on SOGW desalination that can be achieved by combining different desalination technologies are summarized. Renewable energy sources and waste heat are also discussed, which can be used to replace traditional fossil energy to drive SOGW desalination and reduce the negative impact of shale oil and gas exploitation on the environment. Moreover, real project cases for SOGW desalination are presented, and the full-scale or pilot-scale on-site treatment devices for SOGW desalination are summarized. In order to compare different desalination processes clearly, operational parameters and performance data of varying desalination processes, including feed salinity, water flux, salt removal rate, water recovery, energy consumption, and cost, are collected and analyzed, and the applicability of different desalination technologies in desalinating SOGW is qualitatively evaluated. Finally, the recovery of valuable inorganic resources in SOGW is discussed, which is a meaningful research direction for SOGW desalination. At present, the development of SOGW desalination has not reached a satisfactory level, and investing enough energy in SOGW desalination in the future is still necessary to achieve the optimal management of SOGW.
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Affiliation(s)
- Simin Zhou
- School of Environment, Harbin Institute of Technology, 73 Huanghe Road, Harbin 150090, China
| | - Likun Huang
- School of Food Engineering, Harbin University of Commerce, Harbin 150076, China
| | - Guangzhi Wang
- School of Environment, Harbin Institute of Technology, 73 Huanghe Road, Harbin 150090, China.
| | - Wei Wang
- School of Environment, Harbin Institute of Technology, 73 Huanghe Road, Harbin 150090, China
| | - Rui Zhao
- School of Environment, Harbin Institute of Technology, 73 Huanghe Road, Harbin 150090, China
| | - Xiyu Sun
- School of Environment, Harbin Institute of Technology, 73 Huanghe Road, Harbin 150090, China
| | - Dongdong Wang
- School of Environment, Harbin Institute of Technology, 73 Huanghe Road, Harbin 150090, China
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2
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Li L, Wu F, Cao Y, Cheng F, Wang D, Li H, Yu Z, You J. Sustainable development index of shale gas exploitation in China, the UK, and the US. ENVIRONMENTAL SCIENCE AND ECOTECHNOLOGY 2022; 12:100202. [PMID: 36157342 PMCID: PMC9500373 DOI: 10.1016/j.ese.2022.100202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 07/20/2022] [Accepted: 07/20/2022] [Indexed: 06/16/2023]
Abstract
While shale gas could complement the world's natural gas supply, its environmental tradeoffs and sustainability potential should be cautiously assessed before using it to satisfy future energy needs. Shale gas development in China is still in its infancy but has been progressing by the Central Government at a fast pace nowadays. Advanced experience from North America would greatly benefit sustainable design and decision-making for energy development in China. However, the lack of consistency concerning internal and external parameters among previous investigations does not allow an integrated impact comparison among shale gas-rich countries. Herein, we applied a meta-analysis to harmonize environmental tradeoff data through a comprehensive literature review. Greenhouse gas emission, water consumption, and energy demand were selected as environmental tradeoff indicators during shale gas production. Data harmonization suggested that environmental tradeoffs ranged from 5.6 to 37.4 g CO2-eq, 11.0-119.7 mL water, and 0.027-0.127 MJ energy to produce 1 MJ shale gas worldwide. Furthermore, sustainable development indexes (SDIs) for shale gas exploitation in China were analyzed and compared to the United States and the United Kingdom by considering environment, economy, and social demand through an analytic hierarchy process. The United States and China elicit higher SDIs than the United Kingdom, indicating higher feasibility for shale gas exploitation. Although China has relatively low scores in the environmental aspect, large reservoirs and high future market demand make Chinese shale gas favorable in the social demand aspect. Region-specific SDI characteristics identified among representative countries could improve the sustainability potential of regional development and global energy supply.
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Affiliation(s)
- Liang Li
- Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou, 511443, China
| | - Fan Wu
- Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou, 511443, China
- Institute for Low Carbon and Sustainable Development, Jinan University, Guangzhou, 511443, China
| | - Yuanyu Cao
- Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou, 511443, China
| | - Fei Cheng
- Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou, 511443, China
| | - Dali Wang
- Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou, 511443, China
| | - Huizhen Li
- Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou, 511443, China
| | - Zhiqiang Yu
- State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
| | - Jing You
- Guangdong Key Laboratory of Environmental Pollution and Health, School of Environment, Jinan University, Guangzhou, 511443, China
- Institute for Low Carbon and Sustainable Development, Jinan University, Guangzhou, 511443, China
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3
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Ishak SA, Hashim H. Effect of mitigation technologies on the total cost and carbon dioxide emissions of a cement plant under multi-objective mixed linear programming optimisation. Chem Eng Res Des 2022. [DOI: 10.1016/j.cherd.2022.07.048] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
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4
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Fair shale gas water cost distribution using Nash bargaining game. Chem Eng Res Des 2021. [DOI: 10.1016/j.cherd.2021.09.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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5
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Peng Z, Li C, Grossmann IE, Kwon K, Ko S, Shin J, Feng Y. Shale gas field development planning under production profile uncertainty. AIChE J 2021. [DOI: 10.1002/aic.17439] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Affiliation(s)
- Zedong Peng
- College of Control Science and Engineering, Zhejiang University Zhejiang Hangzhou China
| | - Can Li
- Department of Chemical Engineering Carnegie Mellon University Pittsburgh Pennsylvania USA
| | - Ignacio E. Grossmann
- Department of Chemical Engineering Carnegie Mellon University Pittsburgh Pennsylvania USA
| | - Kysang Kwon
- Optimization and Analytics Lab, SK Innovation Seoul South Korea
| | - Sukjoon Ko
- Optimization and Analytics Lab, SK Innovation Seoul South Korea
| | - Joohyun Shin
- Optimization and Analytics Lab, SK Innovation Seoul South Korea
| | - Yiping Feng
- College of Control Science and Engineering, Zhejiang University Zhejiang Hangzhou China
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6
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Salas SD, Contreras-Salas L, Rubio-Dueñas P, Chebeir J, Romagnoli JA. A multi-objective evolutionary optimization framework for a natural gas liquids recovery unit. Comput Chem Eng 2021. [DOI: 10.1016/j.compchemeng.2021.107363] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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7
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Ioannou I, D'Angelo SC, Galán-Martín Á, Pozo C, Pérez-Ramírez J, Guillén-Gosálbez G. Process modelling and life cycle assessment coupled with experimental work to shape the future sustainable production of chemicals and fuels. REACT CHEM ENG 2021; 6:1179-1194. [PMID: 34262788 PMCID: PMC8240698 DOI: 10.1039/d0re00451k] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Accepted: 02/03/2021] [Indexed: 12/17/2022]
Abstract
Meeting the sustainable development goals and carbon neutrality targets requires transitioning to cleaner products, which poses significant challenges to the future chemical industry. Identifying alternative pathways to cover the growing demand for chemicals and fuels in a more sustainable manner calls for close collaborative programs between experimental and computational groups as well as new tools to support these joint endeavours. In this broad context, we here review the role of process systems engineering tools in assessing and optimising alternative chemical production patterns based on renewable resources, including renewable carbon and energy. The focus is on the use of process modelling and optimisation combined with life cycle assessment methodologies and network analysis to underpin experiments and generate insight into how the chemical industry could optimally deliver chemicals and fuels with a lower environmental footprint. We identify the main gaps in the literature and provide directions for future work, highlighting the role of PSE concepts and tools in guiding the future transition and complementing experimental studies more effectively.
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Affiliation(s)
- Iasonas Ioannou
- Institute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zürich Vladimir-Prelog-Weg 1 8093 Zürich Switzerland
| | - Sebastiano Carlo D'Angelo
- Institute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zürich Vladimir-Prelog-Weg 1 8093 Zürich Switzerland
| | - Ángel Galán-Martín
- Institute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zürich Vladimir-Prelog-Weg 1 8093 Zürich Switzerland
| | - Carlos Pozo
- LEPAMAP Research Group, University of Girona C/Maria Aurèlia Capmany 61 17003 Girona Spain
| | - Javier Pérez-Ramírez
- Institute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zürich Vladimir-Prelog-Weg 1 8093 Zürich Switzerland
| | - Gonzalo Guillén-Gosálbez
- Institute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zürich Vladimir-Prelog-Weg 1 8093 Zürich Switzerland
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8
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Lin B, Agyeman S. Impact of natural gas consumption on sub-Saharan Africa's CO 2 emissions: Evidence and policy perspective. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 760:143321. [PMID: 33248755 DOI: 10.1016/j.scitotenv.2020.143321] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Revised: 10/14/2020] [Accepted: 10/16/2020] [Indexed: 06/12/2023]
Abstract
With huge natural gas(NG) reserves and current low (1%) share of non-hydro renewables in Sub-Saharan Africa (SSA), can natural gas offer SSA a low-carbon energy transition? Employing data from 1980 to 2017, this paper investigates the impact of NG consumption on SSA's CO2 emissions using data-driven nonparametric additive regression(NPAR) which can reveal both linear and nonlinear effects. Augmenting NPAR with translog production function(TPF) estimates of interfuel substitution elasticities and bias technological progress over sample period(advantage of TPF), we further provide evidence of the indirect effect of NG consumption on SSA's CO2 emissions through mechanism analysis. From the empirical results, the linear effect shows NG positively impact CO2 emissions while the nonlinear effect indicates a downward decreasing trend (meaning expansion in NG consumption will gradually lower CO2 emissions). Nonlinearly, urbanization and energy efficiency also show positive "inverted U-Shaped" and "downward slopping" respectively meaning sustainable urban energy and energy efficiency practices improvement can lead to CO2 reduction respectively in SSA. The reducing effect of NG consumption on CO2 (the nonlinear effect) is realized through the enhancement of positive bias technological progress of NG over coal and oil but not merely substitution of coal and oil for NG. Technological progress improvement in NG use will also reduce the positive linear effect of urbanization and energy efficiency on CO2 emissions of SSA. Oil is more likely to be substituted for NG than that of coal in SSA. The scenario analysis shows a total of 6.9%, 7.6% and 8.3% of energy conservation is realized in 2022, 2026 and 2030 with a corresponding CO2 reduction of 18.7%, 20.7% and 22.9% respectively for a continuous 10% investment in NG. Institutional, market-oriented and technology challenges hinder NG development among major producers in SSA. Based on the results, several policy measures are put forward to promote SSA's low-carbon energy transition.
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Affiliation(s)
- Boqiang Lin
- School of management, China Institute for Studies in Energy Policy, Collaborative Innovation Center for Energy Economics and Energy Policy, Xiamen University, Fujian 361005, PR China.
| | - Stephen Agyeman
- School of management, China Institute for Studies in Energy Policy, Collaborative Innovation Center for Energy Economics and Energy Policy, Xiamen University, Fujian 361005, PR China; Belt and Road Research Institute, Xiamen University, Fujian 361005, China.
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9
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Pedrozo H, Rodriguez Reartes S, Chen Q, Diaz M, Grossmann I. Surrogate-model based MILP for the optimal design of ethylene production from shale gas. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2020.107015] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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10
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Laguna-Martinez MG, Garibay-Rodriguez J, Rico-Ramirez V, Castrejon-Gonzalez EO, Ponce-Ortega JM. Water impact of an optimal natural gas production and distribution system: An MILP model and the case-study of Mexico. Chem Eng Res Des 2020. [DOI: 10.1016/j.cherd.2019.11.028] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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11
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Junior SA, Meneguelo AP, Arrieche L, Bacelos M. Assessment of a process flow diagram for NGL recovery using different condensation mechanisms. Comput Chem Eng 2019. [DOI: 10.1016/j.compchemeng.2019.106557] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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12
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Colin-Robledo J, Martínez-Guido SI, Guerra-González R, Lira-Barragán LF, Ponce-Ortega JM. Economic and Environmental Assessment of Gas Supply Chains Incorporating Shale Gas. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.9b03157] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Josselin Colin-Robledo
- Chemical Engineering Department, Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Michoacán 58060, México
| | - Sergio Iván Martínez-Guido
- Chemical Engineering Department, Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Michoacán 58060, México
| | - Roberto Guerra-González
- Chemical Engineering Department, Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Michoacán 58060, México
| | - Luis Fernando Lira-Barragán
- Chemical Engineering Department, Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Michoacán 58060, México
| | - José María Ponce-Ortega
- Chemical Engineering Department, Universidad Michoacana de San Nicolás de Hidalgo, Morelia, Michoacán 58060, México
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13
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Recent advances in gas-to-liquids process intensification with emphasis on reactive distillation. Curr Opin Chem Eng 2019. [DOI: 10.1016/j.coche.2018.12.009] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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14
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Abstract
The oxidative coupling of methane (OCM) is operated at high temperatures and is a highly exothermic reaction; thus, hotspots form on the catalyst surface during reaction unless the produced heat is removed. It is crucial to control the heat formed because surface hotspots can degrade catalytic performance. Herein, we report the preparation of Mn2O3-Na2WO4/SiC catalysts using SiC, which has high thermal conductivity and good stability at high temperatures, and the catalyst was applied to the OCM. Two Mn2O3-Na2WO4/SiC catalysts were prepared by wet-impregnation on SiC supports having different particle sizes. For comparison, the Mn2O3-Na2WO4/SiO2 catalyst was also prepared by the same method. The catalysts were analyzed by nitrogen adsorption–desorption, X-ray diffraction, scanning electron microscopy, and transmission electron microscopy. The transformation of SiC into α-cristobalite was observed for the Mn2O3-Na2WO4/SiC catalysts. Because SiC was completely converted into α-cristobalite for the nano-sized SiC-supported Mn2O3-Na2WO4 catalyst, the catalytic performance for the OCM reaction of Mn2O3-Na2WO4/n-SiC was similar to that of Mn2O3-Na2WO4/SiO2. However, only the surface layer of SiC was transformed into α-cristobalite for the micro-sized SiC (m-SiC) in Mn2O3-Na2WO4/m-SiC, resulting in a SiC@α-cristobalite core–shell structure. The Mn2O3-Na2WO4/m-SiC showed higher methane conversion and C2+ yield at 800 and 850 °C than Mn2O3-Na2WO4/SiO2.
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15
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Gao J, You F. A stochastic game theoretic framework for decentralized optimization of multi-stakeholder supply chains under uncertainty. Comput Chem Eng 2019. [DOI: 10.1016/j.compchemeng.2018.05.016] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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16
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Gao J, Ning C, You F. Data‐driven distributionally robust optimization of shale gas supply chains under uncertainty. AIChE J 2018. [DOI: 10.1002/aic.16488] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Affiliation(s)
- Jiyao Gao
- Robert Frederick Smith School of Chemical and Biomolecular Engineering Cornell University Ithaca New York 14853
| | - Chao Ning
- Robert Frederick Smith School of Chemical and Biomolecular Engineering Cornell University Ithaca New York 14853
| | - Fengqi You
- Robert Frederick Smith School of Chemical and Biomolecular Engineering Cornell University Ithaca New York 14853
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17
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Learning Curve, Change in Industrial Environment, and Dynamics of Production Activities in Unconventional Energy Resources. SUSTAINABILITY 2018. [DOI: 10.3390/su10093322] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Since 2007, shale oil and gas production in the United States has become a significant portion of the global fossil fuel market. The main cause for the increase in production of shale oil and gas in the US is the adoption of new production technologies, namely, horizontal drilling and hydraulic fracturing. However, the production cost of shale oil and gas in the US is comparably higher than the production cost of conventional oil and gas. In 2014, the crude oil and natural gas price decreased significantly to approximately 40 dollars per barrel, and natural gas prices decreased to 3 dollars per million British thermal unit, and thus the productivity and financial conditions for the exploration and production of shale oil and natural gas for producers in the United States have worsened critically. Therefore, technological innovation has become one of the most interesting issues of the energy industry. The present study analyzes the trends in technological innovation having a relationship with production activities. This study calculates the learning rate of 30 companies from the petroleum exploration and production industry in the United States using an improved learning rate calculation formula that reflects the changes in the oil production ratio. Thus, more statistically confident calculation results and interpretations of strategic production activities with regard to changes in the industrial environment were achieved in this study.
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18
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Carrero-Parreño A, Reyes-Labarta JA, Salcedo-Díaz R, Ruiz-Femenia R, Onishi VC, Caballero JA, Grossmann IE. Holistic Planning Model for Sustainable Water Management in the Shale Gas Industry. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.8b02055] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Alba Carrero-Parreño
- Institute of Chemical Process Engineering, University of Alicante, Apartado de Correos 99, Alicante 03080, Spain
| | - Juan A. Reyes-Labarta
- Institute of Chemical Process Engineering, University of Alicante, Apartado de Correos 99, Alicante 03080, Spain
- Department of Chemical Engineering, University of Alicante, Apartado de Correos 99, Alicante 03080, Spain
| | - Raquel Salcedo-Díaz
- Institute of Chemical Process Engineering, University of Alicante, Apartado de Correos 99, Alicante 03080, Spain
- Department of Chemical Engineering, University of Alicante, Apartado de Correos 99, Alicante 03080, Spain
| | - Rubén Ruiz-Femenia
- Institute of Chemical Process Engineering, University of Alicante, Apartado de Correos 99, Alicante 03080, Spain
- Department of Chemical Engineering, University of Alicante, Apartado de Correos 99, Alicante 03080, Spain
| | - Viviani C. Onishi
- Institute of Chemical Process Engineering, University of Alicante, Apartado de Correos 99, Alicante 03080, Spain
| | - José A. Caballero
- Institute of Chemical Process Engineering, University of Alicante, Apartado de Correos 99, Alicante 03080, Spain
- Department of Chemical Engineering, University of Alicante, Apartado de Correos 99, Alicante 03080, Spain
| | - Ignacio E. Grossmann
- Department of Chemical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States
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19
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Optimization of multistage fractured horizontal well in tight oil based on embedded discrete fracture model. Comput Chem Eng 2018. [DOI: 10.1016/j.compchemeng.2018.06.015] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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20
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An Investigation of the Underlying Evolution of Shale Gas Research’s Domain Based on the Co-Word Network. SUSTAINABILITY 2018. [DOI: 10.3390/su10010164] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
With the increasing shortage energy, the exploration and utilization of shale gas (SG) have greatly changed the world’s natural gas supply pattern. In this study, based on a bibliometric review of the publications related to SG, by analyzing the co-word networks during the past years, we provide comprehensive analyses on the underlying domain evolution of shale gas research (SGR). Firstly, we visualize the topical development of SGR. We not only identify the key topics at each stage but also reveal their underlying dependence and evolutionary trends. The directions of SGR in the future are implied. Secondly, we find the co-word network has small-world and scale-free characteristics, which are the important mechanisms of driving the evolution of SGR’s domain. Thirdly, we analyze China’s SGR. We find the co-word network in China’s SGR has not yet emerged obvious differentiation. Nevertheless, it has a similar self-organized evolution process with the co-word network of international SGR. Our above results can provide references for the future SGR of scholars, optimization or control of the domain and the strategy/policy of countries or globalization.
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21
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Yang M, Tian X, You F. Manufacturing Ethylene from Wet Shale Gas and Biomass: Comparative Technoeconomic Analysis and Environmental Life Cycle Assessment. Ind Eng Chem Res 2018. [DOI: 10.1021/acs.iecr.7b03731] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Minbo Yang
- Robert Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, New York 14853, United States
| | - Xueyu Tian
- Robert Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, New York 14853, United States
| | - Fengqi You
- Robert Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, New York 14853, United States
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22
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He C, Pan M, Zhang B, Chen Q, You F, Ren J. Monetizing shale gas to polymers under mixed uncertainty: Stochastic modeling and likelihood analysis. AIChE J 2018. [DOI: 10.1002/aic.16058] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Chang He
- School of Chemical Engineering and Technology, Guangdong Engineering Center for Petrochemical Energy Conservation; Sun Yat-sen University; Zhuhai 519082 China
| | - Ming Pan
- School of Chemical Engineering and Technology, Guangdong Engineering Center for Petrochemical Energy Conservation; Sun Yat-sen University; Zhuhai 519082 China
| | - Bingjian Zhang
- School of Chemical Engineering and Technology, Guangdong Engineering Center for Petrochemical Energy Conservation; Sun Yat-sen University; Zhuhai 519082 China
| | - Qinglin Chen
- School of Chemical Engineering and Technology, Guangdong Engineering Center for Petrochemical Energy Conservation; Sun Yat-sen University; Zhuhai 519082 China
| | - Fengqi You
- Robert Frederick Smith School of Chemical and Biomolecular Engineering; Cornell University; Ithaca NY 14853 USA
| | - Jingzheng Ren
- Dept. of Industrial and Systems Engineering; The Hong Kong Polytechnic University; Hong Kong Special Administrative Region China
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23
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Al-Sobhi SA, Shaik MA, Elkamel A, Erenay FS. Integrating Simulation in Optimal Synthesis and Design of Natural Gas Upstream Processing Networks. Ind Eng Chem Res 2017. [DOI: 10.1021/acs.iecr.7b02624] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Saad A. Al-Sobhi
- Department of Chemical Engineering, University of Waterloo, Waterloo, ON N3L 3G1, Canada
- Department of Chemical Engineering, Qatar University, Doha, Qatar
| | - Munawar A. Shaik
- Department of Chemical Engineering, The Petroleum Institute, Khalifa University of Science & Technology, Abu Dhabi, UAE
- Department of Chemical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi− 110016, India
| | - Ali Elkamel
- Department of Chemical Engineering, University of Waterloo, Waterloo, ON N3L 3G1, Canada
- Department of Chemical Engineering, The Petroleum Institute, Khalifa University of Science & Technology, Abu Dhabi, UAE
| | - Fatih S. Erenay
- Department of Management Sciences, University of Waterloo, Waterloo, ON N3L 3G1, Canada
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24
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Ning C, You F. A data‐driven multistage adaptive robust optimization framework for planning and scheduling under uncertainty. AIChE J 2017. [DOI: 10.1002/aic.15792] [Citation(s) in RCA: 79] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Affiliation(s)
- Chao Ning
- Robert Frederick Smith School of Chemical and Biomolecular EngineeringCornell UniversityIthaca NY14853
| | - Fengqi You
- Robert Frederick Smith School of Chemical and Biomolecular EngineeringCornell UniversityIthaca NY14853
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25
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Ning C, You F. Data‐driven adaptive nested robust optimization: General modeling framework and efficient computational algorithm for decision making under uncertainty. AIChE J 2017. [DOI: 10.1002/aic.15717] [Citation(s) in RCA: 98] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Chao Ning
- Smith School of Chemical and Biomolecular EngineeringCornell UniversityIthaca New York14853
| | - Fengqi You
- Smith School of Chemical and Biomolecular EngineeringCornell UniversityIthaca New York14853
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26
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Yang M, You F. Comparative Techno-Economic and Environmental Analysis of Ethylene and Propylene Manufacturing from Wet Shale Gas and Naphtha. Ind Eng Chem Res 2017. [DOI: 10.1021/acs.iecr.7b00354] [Citation(s) in RCA: 80] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Minbo Yang
- Department
of Chemical and Biological Engineering, Northwestern University, Evanston, Illinois 60208, United States
| | - Fengqi You
- Robert
Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, New York 14853, United States
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