This page has only limited features, please log in for full access.

Dr. Zhien Zhang
William G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, OH 43210, USA

Basic Info


Research Keywords & Expertise

0 Absorption
0 Fossil Fuel
0 Gas Separation
0 Heat Transfer
0 Mass Transfer

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 18 August 2021 in Journal of Natural Gas Science and Engineering
Reads 0
Downloads 0

Gas condensate reservoirs display unique phase behavior and are highly sensitive to reservoir pressure changes. This makes it difficult to determine their PVT characteristics, including their condensate viscosity, which is a key variable in determining their flow behavior. In this study, a novel machine learning approach is developed to predict condensate viscosity in the near wellbore regions (μc) from five input variables: pressure (P), temperature (T), initial gas to condensate ratio (RS), gas specific gravity (γg), and condensate gravity (API). Due to the absence of accurate recombination methods for determining μc machine learning methods offer a useful alternative approach. Nine machine learning and hybrid machine learning algorithms are evaluated including novel multiple extreme learning machine (MELM), least squares support vector machine (LSSVM) and multi-layer perceptron (MLP) and each hybridized with a particle swarm optimizer (PSO) and genetic algorithm (GA). The new MELM algorithm has some advantages including 1) rapid execution, 2) high accuracy, 3) simple training, 4) avoidance of overfitting, 5) non-linear conversion during training, 6) no trapping at local optima, 6) fewer optimization steps than SVM and LSSVM. Combining MELM with PSO, to find the best control parameters, further improves its performance. Analysis indicates that the MELM-PSO model provides the highest μc prediction accuracy achieving a root mean squared error (RMSE) of 0.0035 cP and a coefficient of determination (R2) of 0.9931 for a dataset of 2269 data records compiled from gas-condensate fields around the world. The MELM-PSO algorithm generates no outlying data predictions. Spearman correlation coefficient analysis identifies that P, γg and Rs are the most influential variables in terms of condensate viscosity based on the large dataset studied.

ACS Style

Abouzar Rajabi Behesht Abad; Seyedmohammadvahid Mousavi; Nima Mohamadian; David A. Wood; Hamzeh Ghorbani; Shadfar Davoodi; Mehdi Ahmadi Alvar; Khalil Shahbazi. Hybrid machine learning algorithms to predict condensate viscosity in the near wellbore regions of gas condensate reservoirs. Journal of Natural Gas Science and Engineering 2021, 104210 .

AMA Style

Abouzar Rajabi Behesht Abad, Seyedmohammadvahid Mousavi, Nima Mohamadian, David A. Wood, Hamzeh Ghorbani, Shadfar Davoodi, Mehdi Ahmadi Alvar, Khalil Shahbazi. Hybrid machine learning algorithms to predict condensate viscosity in the near wellbore regions of gas condensate reservoirs. Journal of Natural Gas Science and Engineering. 2021; ():104210.

Chicago/Turabian Style

Abouzar Rajabi Behesht Abad; Seyedmohammadvahid Mousavi; Nima Mohamadian; David A. Wood; Hamzeh Ghorbani; Shadfar Davoodi; Mehdi Ahmadi Alvar; Khalil Shahbazi. 2021. "Hybrid machine learning algorithms to predict condensate viscosity in the near wellbore regions of gas condensate reservoirs." Journal of Natural Gas Science and Engineering , no. : 104210.

Research article petroleum engineering
Published: 17 August 2021 in Arabian Journal for Science and Engineering
Reads 0
Downloads 0

Reservoir formation damage is a major problem that the oil and gas industry has to mitigate in order to maintain the oil and gas supply. A case study is presented that identifies the impacts of formation damage and their causes in the Nubian ‘C’ hydrocarbon reservoir within Sidki field located in the Southern Gulf of Suez, Egypt. In addition, a formation damage mitigation program was designed and implemented involving an effective stimulation treatment for each well experiencing reservoir damage. The data available for this study include core analysis to provide rock mineralogy and lithology; analysis of production fluid data; water chemistry; drilling fluid composition; perforations and well completion details; workover operations; and stimulation history. The diagnosis of formation damage based on the integrated assessment of the available data is associated with several benefits, (1) The integration of the data available helps provide a robust analysis of formation damage causes and in establishing suitable remediation actions, (2) Workover fluid is confirmed as the primary cause of reservoir damage in the studied well, (3) Several reservoir damage mechanisms were identified including water blockage, solids and filtrate invasion, fluid/rock interaction (deflocculation of kaolinite clay), salinity shock and/or high-sulfate content of the invaded fluid, (4) Irrespective of the potential causes of formation damage, the primary objective of a gas production company is to mitigate its effects and the integrated dataset helps to design appropriate and effective stimulation treatments to overcome formation damage, and (5) In gas reservoirs, especially low permeability ones, extra precautions are necessary to avoid potential reservoir damage due to workover fluid invasion.

ACS Style

Ahmed E. Radwan; David A. Wood; A. M. Abudeif; M. M. Attia; M. Mahmoud; Ahmed A. Kassem; Maciej Kania. Reservoir Formation Damage; Reasons and Mitigation: A Case Study of the Cambrian–Ordovician Nubian ‘C’ Sandstone Gas and Oil Reservoir from the Gulf of Suez Rift Basin. Arabian Journal for Science and Engineering 2021, 1 -18.

AMA Style

Ahmed E. Radwan, David A. Wood, A. M. Abudeif, M. M. Attia, M. Mahmoud, Ahmed A. Kassem, Maciej Kania. Reservoir Formation Damage; Reasons and Mitigation: A Case Study of the Cambrian–Ordovician Nubian ‘C’ Sandstone Gas and Oil Reservoir from the Gulf of Suez Rift Basin. Arabian Journal for Science and Engineering. 2021; ():1-18.

Chicago/Turabian Style

Ahmed E. Radwan; David A. Wood; A. M. Abudeif; M. M. Attia; M. Mahmoud; Ahmed A. Kassem; Maciej Kania. 2021. "Reservoir Formation Damage; Reasons and Mitigation: A Case Study of the Cambrian–Ordovician Nubian ‘C’ Sandstone Gas and Oil Reservoir from the Gulf of Suez Rift Basin." Arabian Journal for Science and Engineering , no. : 1-18.

Editorial
Published: 12 August 2021 in Processes
Reads 0
Downloads 0

The increasing trends in gas pollution, water pollution, and solid waste pollution have an adverse impact on human health and ecological habitats

ACS Style

Wenxiang Zhang; Zhien Zhang; Avelino Núñez-Delgado. Gas, Water and Solid Waste Treatment Technology. Processes 2021, 9, 1397 .

AMA Style

Wenxiang Zhang, Zhien Zhang, Avelino Núñez-Delgado. Gas, Water and Solid Waste Treatment Technology. Processes. 2021; 9 (8):1397.

Chicago/Turabian Style

Wenxiang Zhang; Zhien Zhang; Avelino Núñez-Delgado. 2021. "Gas, Water and Solid Waste Treatment Technology." Processes 9, no. 8: 1397.

Journal article
Published: 10 August 2021 in Sustainability
Reads 0
Downloads 0

Wastewater treatment plants (WWTP) located in regions far from a high-pressure grid can produce renewable biomethane, which can partially substitute the natural gas locally consumed. However, the economic viability of implementing biomethane plants in WWTP has to be guaranteed. This paper uses the discount cash flow method to analyze the economic viability of producing biomethane in a WWTP located in Évora (Portugal). The results show that, under the current conditions, it is unprofitable to produce biomethane in this WWTP. Since selling the CO2 separated from biogas may result in an additional income, this option was also considered. In this case, a price of 46 EUR/t CO2 has to be paid to make the project viable. Finally, the impact of potential government incentives in the form of feed-in premia was investigated. Without selling CO2, the project would only be profitable for feed-in premia above 55.5 EUR/MWh. If all the CO2 produced was sold at 30 EUR/t CO2, a premium price of 20 EUR/MWh would make the project profitable. This study shows that the economic attractiveness of producing biomethane in small WWTP is only secured through sufficient financial incentives, which are vital for developing the biomethane market with all its associated advantages.

ACS Style

Francisco Baena-Moreno; Isabel Malico; Isabel Marques. Promoting Sustainability: Wastewater Treatment Plants as a Source of Biomethane in Regions Far from a High-Pressure Grid. A Real Portuguese Case Study. Sustainability 2021, 13, 8933 .

AMA Style

Francisco Baena-Moreno, Isabel Malico, Isabel Marques. Promoting Sustainability: Wastewater Treatment Plants as a Source of Biomethane in Regions Far from a High-Pressure Grid. A Real Portuguese Case Study. Sustainability. 2021; 13 (16):8933.

Chicago/Turabian Style

Francisco Baena-Moreno; Isabel Malico; Isabel Marques. 2021. "Promoting Sustainability: Wastewater Treatment Plants as a Source of Biomethane in Regions Far from a High-Pressure Grid. A Real Portuguese Case Study." Sustainability 13, no. 16: 8933.

Journal article
Published: 03 July 2021 in Applied Geochemistry
Reads 0
Downloads 0

The internal surface roughness of coals determines, to an extent, the quantity of natural gas, specifically methane, that they can readily adsorb/store and the ease with which that gas can flow and be produced from coal formations. Coals’ fractal dimensions (D) provide a quantitative measure of the degree of roughness of their internal surfaces (pores and microfractures). Low pressure nitrogen adsorption isotherms are commonly used to derive D values for coal applying the Frenkel–Halsey–Hill (FHH) method. However, the isotherm data points for many coals do not conform to the theoretically expected FHH trends. In this study, two other fractal determination methods, those of Neimark (NMK) and Wang & Li (W&L), are evaluated, together with the FHH method for 26 published coal isotherms. The NMK method is considered unsuitable as it generates unreasonably high D values. For many coals W&L and FHH methods are observed to derive consistently close D values. Detailed graphical analysis of the isotherm data points and their trends can explain the discrepancies that exist in the D values derived from the whole isotherms of some coals. Discrepancies are also observed in the fractal dimensions derived by the different methods for the low (D1) and high (D2) relative pressure portions of the coal isotherms. More realistic D1 values are derived by the W&L method than the FHH method. A novel workflow integrating detailed graphical analysis with optimized curve fitting is proposed to better quantify and verify the derivation of coal fractal dimensions from nitrogen adsorption isotherms.

ACS Style

David A. Wood. Deriving Coal Fractal Dimensions from Low-pressure Nitrogen Adsorption Isotherms Applying an Integrated Method. Applied Geochemistry 2021, 131, 105042 .

AMA Style

David A. Wood. Deriving Coal Fractal Dimensions from Low-pressure Nitrogen Adsorption Isotherms Applying an Integrated Method. Applied Geochemistry. 2021; 131 ():105042.

Chicago/Turabian Style

David A. Wood. 2021. "Deriving Coal Fractal Dimensions from Low-pressure Nitrogen Adsorption Isotherms Applying an Integrated Method." Applied Geochemistry 131, no. : 105042.

Original paper
Published: 25 June 2021 in Natural Resources Research
Reads 0
Downloads 0

Fabric and roughness of the pore-size distributions in organic-rich shales determine their fluid flow and storage capabilities. Accurate estimation of the pore-surface fractal dimension (D) provides valuable insight to these qualities in shales. Low-pressure gas adsorption isotherms are widely used for determining D, typically applying the Frenkel–Halsey–Hill (FHH) method. Other D estimation methods, proposed by Neimark (NM) and Wang and Li (WL), are theoretically consistent and mathematically related to the FHH model but yield distinctive D values for many shales. This study evaluates the mathematical relationships between the FHH, NM and WL fractal determination methods, and with the aid of twenty-six published adsorption isotherms from shales around the world, compares their similarities and differences. Uncertainties exist in establishing best-fit lines to curved data trends in the FHH and NM methods, and in fitting power curves to data trends in the NM and WL methods. The FHH and WL D values are found to be more consistent for whole isotherm and isotherm segment analysis than the NM D values, which are systematically higher. The reasons for this are explained in terms of their graphical relationships. This leads to a novel 10-step protocol for a more thorough determination of shale D values that incorporates all three methods and involves graphical analysis that clearly exposes the uncertainties associated with the values determined. Applying this protocol should derive reliable D values to compare with key shale properties such as surface area, surface volume, thermal maturity and organic richness in future research.

ACS Style

David A. Wood. Estimating Organic-Rich Shale Fractal Dimensions from Gas Adsorption Isotherms: Combining Different Methods Leads to More Reliable Values and Insight. Natural Resources Research 2021, 1 -24.

AMA Style

David A. Wood. Estimating Organic-Rich Shale Fractal Dimensions from Gas Adsorption Isotherms: Combining Different Methods Leads to More Reliable Values and Insight. Natural Resources Research. 2021; ():1-24.

Chicago/Turabian Style

David A. Wood. 2021. "Estimating Organic-Rich Shale Fractal Dimensions from Gas Adsorption Isotherms: Combining Different Methods Leads to More Reliable Values and Insight." Natural Resources Research , no. : 1-24.

Journal article
Published: 08 June 2021 in Journal of Natural Gas Science and Engineering
Reads 0
Downloads 0

Hydrate technology is of considerable significance for industrial natural gas storage and transportation. In this paper, the hydrate formation in surfactants with different ratios of alkyl glycosides (APG) and sodium dodecyl sulfate (SDS) was studied at 275.15 K and 7 MPa. The results show that when the APG content was 20%, the gas storage density reached 117.44 mol/mol indicating the best hydrate formation performance, and it can be further improved to 117.72 mol/mol after adding alumina. There was a secondary induction stage in hydrate formation when compounding. SDS accelerated gas by affecting the surface tension, and APG micelles could promote hydrate aggregation. The promotion effects of SDS and APG were superimposed. The hydrate was distributed in the hollow cylinder of the container. The larger the proportion of SDS, the closer the distance between the hydrate and the bottom.

ACS Style

Yi Wu; Liyan Shang; Zhen Pan; Yifan Xuan; Francisco M. Baena-Moreno; Zhien Zhang. Gas hydrate formation in the presence of mixed surfactants and alumina nanoparticles. Journal of Natural Gas Science and Engineering 2021, 94, 104049 .

AMA Style

Yi Wu, Liyan Shang, Zhen Pan, Yifan Xuan, Francisco M. Baena-Moreno, Zhien Zhang. Gas hydrate formation in the presence of mixed surfactants and alumina nanoparticles. Journal of Natural Gas Science and Engineering. 2021; 94 ():104049.

Chicago/Turabian Style

Yi Wu; Liyan Shang; Zhen Pan; Yifan Xuan; Francisco M. Baena-Moreno; Zhien Zhang. 2021. "Gas hydrate formation in the presence of mixed surfactants and alumina nanoparticles." Journal of Natural Gas Science and Engineering 94, no. : 104049.

Editorial
Published: 05 June 2021 in International Journal of Hydrogen Energy
Reads 0
Downloads 0
ACS Style

Zhien Zhang; Giulio Guandalini. Hydrogen separation, production and storage. International Journal of Hydrogen Energy 2021, 46, 23310 .

AMA Style

Zhien Zhang, Giulio Guandalini. Hydrogen separation, production and storage. International Journal of Hydrogen Energy. 2021; 46 (45):23310.

Chicago/Turabian Style

Zhien Zhang; Giulio Guandalini. 2021. "Hydrogen separation, production and storage." International Journal of Hydrogen Energy 46, no. 45: 23310.

Erratum
Published: 25 May 2021 in Energy Conversion and Management
Reads 0
Downloads 0
ACS Style

Zhenhua Fang; Liyan Shang; Zhen Pan; Xiuqing Yao; Guiyang Ma; Zhien Zhang. Corrigendum to “Exergoeconomic analysis and optimization of a combined cooling, heating and power system based on organic Rankine and Kalina cycles using liquified natural gas cold energy” [Energ. Convers. Manage. 238 (2021) 114148]. Energy Conversion and Management 2021, 240, 114290 .

AMA Style

Zhenhua Fang, Liyan Shang, Zhen Pan, Xiuqing Yao, Guiyang Ma, Zhien Zhang. Corrigendum to “Exergoeconomic analysis and optimization of a combined cooling, heating and power system based on organic Rankine and Kalina cycles using liquified natural gas cold energy” [Energ. Convers. Manage. 238 (2021) 114148]. Energy Conversion and Management. 2021; 240 ():114290.

Chicago/Turabian Style

Zhenhua Fang; Liyan Shang; Zhen Pan; Xiuqing Yao; Guiyang Ma; Zhien Zhang. 2021. "Corrigendum to “Exergoeconomic analysis and optimization of a combined cooling, heating and power system based on organic Rankine and Kalina cycles using liquified natural gas cold energy” [Energ. Convers. Manage. 238 (2021) 114148]." Energy Conversion and Management 240, no. : 114290.

Review
Published: 20 May 2021 in Chemistry
Reads 0
Downloads 0

This works aims to provide an understanding on basic chemical kinetics pertaining to three-way catalytic (TWC) converters from an educational perspective, aimed at those novel readers in this field. Rate of reactions and its factors are explained, showcasing that the chosen catalyst is the main factor affecting the overall rate of reaction. Furthermore, this overview revisit insights of the catalytic converter structure and the environmental issues that come along with it. Lastly, the chemical and physical properties of the reactants and products-pollutant and less-toxic gases—are discussed, in order to gather a better understanding of the reactants and products that enters a catalytic converter.

ACS Style

Emmy Kritsanaviparkporn; Francisco Baena-Moreno; T. Reina. Catalytic Converters for Vehicle Exhaust: Fundamental Aspects and Technology Overview for Newcomers to the Field. Chemistry 2021, 3, 630 -646.

AMA Style

Emmy Kritsanaviparkporn, Francisco Baena-Moreno, T. Reina. Catalytic Converters for Vehicle Exhaust: Fundamental Aspects and Technology Overview for Newcomers to the Field. Chemistry. 2021; 3 (2):630-646.

Chicago/Turabian Style

Emmy Kritsanaviparkporn; Francisco Baena-Moreno; T. Reina. 2021. "Catalytic Converters for Vehicle Exhaust: Fundamental Aspects and Technology Overview for Newcomers to the Field." Chemistry 3, no. 2: 630-646.

Journal article
Published: 04 May 2021 in International Journal of Hydrogen Energy
Reads 0
Downloads 0

The energy output and energy conversion efficiency of MTPV system are relatively low due to the energy loss. In order to improve the energy output of micro-thermophotovoltaic (MTPV) system, the internal straight and spiral fins are introduced into the micro combustor. The impact of hydrogen mass flow rate, equivalence ratio, and materials on the thermal performance are investigated. The increase of hydrogen mass flow rate brings higher average outer wall temperature, but the temperature difference also increases and the temperature uniformity becomes worse. The equivalence ratio of 1 is suggested to obtain higher average outer wall temperature and better temperature uniformity. The materials with higher thermal conductivity can obtain better thermal performance. Meanwhile, the higher thermal conductivity can also reduce the impact of introduction of internal fins.

ACS Style

Ziqiang He; Yunfei Yan; Xiuquan Li; Kaiming Shen; Junnan Li; Zhien Zhang. Comparative investigation of combustion and thermal characteristics of a conventional micro combustor and micro combustor with internal straight/spiral fins for thermophotovoltaic system. International Journal of Hydrogen Energy 2021, 46, 22165 -22179.

AMA Style

Ziqiang He, Yunfei Yan, Xiuquan Li, Kaiming Shen, Junnan Li, Zhien Zhang. Comparative investigation of combustion and thermal characteristics of a conventional micro combustor and micro combustor with internal straight/spiral fins for thermophotovoltaic system. International Journal of Hydrogen Energy. 2021; 46 (42):22165-22179.

Chicago/Turabian Style

Ziqiang He; Yunfei Yan; Xiuquan Li; Kaiming Shen; Junnan Li; Zhien Zhang. 2021. "Comparative investigation of combustion and thermal characteristics of a conventional micro combustor and micro combustor with internal straight/spiral fins for thermophotovoltaic system." International Journal of Hydrogen Energy 46, no. 42: 22165-22179.

Journal article
Published: 24 April 2021 in Energy Conversion and Management
Reads 0
Downloads 0

With the increase of liquified natural gas trade, more and more attention has been paid to the liquified natural gas cold energy utilization. In order to better recover and utilize liquified natural gas cold energy, a novel combined cooling, heating and power system based on liquified natural gas cold energy utilization and exhaust gas waste heat recovery is proposed in this paper. The system consists of a three-stage organic Rankine cycle, a Kalina cycle and liquified natural gas direct expansion. To evaluate the performance of the combined cooling, heating and power system, a mathematical model was established, and through the thermodynamic analysis the net output power, thermal efficiency, and exergy efficiency of the system were 1257.708 kW, 43.43%, and 70.4%, respectively. The effects of the pump and compressor outlet pressure, n-hexane mass flow rate in the first Rankine cycle, turbine inlet temperature, and isentropic efficiency of the turbines on the system performance were analyzed. Moreover, exergoeconomic analysis is used to calculate the total product unit cost of the combined cooling, heating and power system, which was found to be 51.1 $/GJ. In addition, single- and multi-objective optimizations of the system were performed. The multi-objective optimization results show that the maximum exergy efficiency and minimum total product unit cost of this novel combined cooling, heating and power system were 80.49% and 48.04 $/GJ, respectively. This work shows a great potential in utilizing the liquified natural gas cold energy and waste heat of exhaust gas by a combined cooling, heating and power system.

ACS Style

Zhenhua Fang; Liyan Shang; Zhen Pan; Xiuqing Yao; Guiyang Ma; Zhien Zhang. Exergoeconomic analysis and optimization of a combined cooling, heating and power system based on organic Rankine and Kalina cycles using liquified natural gas cold energy. Energy Conversion and Management 2021, 238, 114148 .

AMA Style

Zhenhua Fang, Liyan Shang, Zhen Pan, Xiuqing Yao, Guiyang Ma, Zhien Zhang. Exergoeconomic analysis and optimization of a combined cooling, heating and power system based on organic Rankine and Kalina cycles using liquified natural gas cold energy. Energy Conversion and Management. 2021; 238 ():114148.

Chicago/Turabian Style

Zhenhua Fang; Liyan Shang; Zhen Pan; Xiuqing Yao; Guiyang Ma; Zhien Zhang. 2021. "Exergoeconomic analysis and optimization of a combined cooling, heating and power system based on organic Rankine and Kalina cycles using liquified natural gas cold energy." Energy Conversion and Management 238, no. : 114148.

Review article
Published: 16 April 2021 in Energy & Environmental Science
Reads 0
Downloads 0

This review summarizes the potential and challenges of supercritical carbon dioxide (SC-CO2) enhanced shale gas recovery and sequestration in shale reservoirs.

ACS Style

Qiao Lyu; Jingqiang Tan; Lei Li; Yiwen Ju; Andreas Busch; David A. Wood; Pathegama Gamage Ranjith; Richard Middleton; Biao Shu; Chenger Hu; Zhanghu Wang; Ruining Hu. The role of supercritical carbon dioxide for recovery of shale gas and sequestration in gas shale reservoirs. Energy & Environmental Science 2021, 1 .

AMA Style

Qiao Lyu, Jingqiang Tan, Lei Li, Yiwen Ju, Andreas Busch, David A. Wood, Pathegama Gamage Ranjith, Richard Middleton, Biao Shu, Chenger Hu, Zhanghu Wang, Ruining Hu. The role of supercritical carbon dioxide for recovery of shale gas and sequestration in gas shale reservoirs. Energy & Environmental Science. 2021; ():1.

Chicago/Turabian Style

Qiao Lyu; Jingqiang Tan; Lei Li; Yiwen Ju; Andreas Busch; David A. Wood; Pathegama Gamage Ranjith; Richard Middleton; Biao Shu; Chenger Hu; Zhanghu Wang; Ruining Hu. 2021. "The role of supercritical carbon dioxide for recovery of shale gas and sequestration in gas shale reservoirs." Energy & Environmental Science , no. : 1.

Journal article
Published: 01 April 2021 in International Communications in Heat and Mass Transfer
Reads 0
Downloads 0

With the high energy output of electronic devices, effective heat dissipation with low energy consumption has drawn great attention. Based on the construction theory, the flow resistance of the generalized bionic Y-shaped fractal networks is theoretically analyzed. It is found that the symmetrical width has a positive effect on reducing the hydraulic resistance, while the symmetrical length plays a negative influence. Then, the optimal designs of symmetrical and asymmetrical bionic Y-shaped fractal heat sinks are obtained by multi-objective optimization with genetic algorithm (GA). The pressure loss in the asymmetrical bionic Y-shaped fractal heat sink is always lower than that of the symmetrical bionic Y-shaped fractal heat sink at the same fractal number. As the constraint of thermal resistance reduces from 0.045 K/W to 0.042 K/W, the pumping power difference between symmetrical and asymmetrical bionic Y-shaped fractal heat sinks increases from 70.1 mW to 99.1 mW. Furthermore, according to the CFD investigation, it is noted that the symmetrical heat sink exhibits a lower temperature difference and more uniform temperature distribution.

ACS Style

Ziqiang He; Yunfei Yan; Shuai Feng; Zhongqing Yang; Li Zhang; Zhien Zhang. Multi-objective optimizations on thermal and hydraulic performance of symmetric and asymmetric bionic Y-shaped fractal networks by genetic algorithm coupled with CFD simulation. International Communications in Heat and Mass Transfer 2021, 124, 105261 .

AMA Style

Ziqiang He, Yunfei Yan, Shuai Feng, Zhongqing Yang, Li Zhang, Zhien Zhang. Multi-objective optimizations on thermal and hydraulic performance of symmetric and asymmetric bionic Y-shaped fractal networks by genetic algorithm coupled with CFD simulation. International Communications in Heat and Mass Transfer. 2021; 124 ():105261.

Chicago/Turabian Style

Ziqiang He; Yunfei Yan; Shuai Feng; Zhongqing Yang; Li Zhang; Zhien Zhang. 2021. "Multi-objective optimizations on thermal and hydraulic performance of symmetric and asymmetric bionic Y-shaped fractal networks by genetic algorithm coupled with CFD simulation." International Communications in Heat and Mass Transfer 124, no. : 105261.

Original paper
Published: 01 April 2021 in Natural Resources Research
Reads 0
Downloads 0

Accurate prediction of pore-pressures in the subsurface is paramount for successful planning and drilling of oil and gas wellbores. It saves cost and time and helps to avoid drilling problems. As it is expensive and time-consuming to measure pore-pressure directly in wellbores, it is useful to be able to predict it from various petrophysical input variables on a supervised learning basis calibrated to a benchmark wellbore. This study developed and compared three-hybrid machine-learning optimization models applied to a diverse suite of 9 petrophysical input variables to predict pore-pressure across a 273-m-thick, predominately carbonate, reservoir sequence in the giant Marun oil field (Iran) using 1972 data records. The analysis identified that the multilayer extreme learning machine model hybridized with a particle swarm optimization (MELM–PSO) applied to seven input variables by feature selection provided the most accurate pore-pressure predictions for the full dataset (RMSE = 11.551 psi (1 psi = 6.8947590868 kPa) for well MN#281). The Savitzky–Golay (SG) filter was applied to pre-process the data, and the properties were filter-ranked using the wrapping method. The MELM–PSO model outperformed the pore-pressure prediction accuracy achieved by commonly used empirical formulas involving sonic or resistivity log data or calculated pore compressibility. To further verify and generalize the applicability of the MELM–PSO model, it was applied to two other Marun oil field wells (MN#297 and MN#378) achieving RMSE prediction accuracy of 10.031 psi and 10.150 psi, respectively. These results confirmed that the trained model can be reliably applied to multiple locations across the Marun oil field for predicting pore-pressure.

ACS Style

Mohammad Farsi; Nima Mohamadian; Hamzeh Ghorbani; David A. Wood; Shadfar Davoodi; Jamshid Moghadasi; Mehdi Ahmadi Alvar. Predicting Formation Pore-Pressure from Well-Log Data with Hybrid Machine-Learning Optimization Algorithms. Natural Resources Research 2021, 1 -27.

AMA Style

Mohammad Farsi, Nima Mohamadian, Hamzeh Ghorbani, David A. Wood, Shadfar Davoodi, Jamshid Moghadasi, Mehdi Ahmadi Alvar. Predicting Formation Pore-Pressure from Well-Log Data with Hybrid Machine-Learning Optimization Algorithms. Natural Resources Research. 2021; ():1-27.

Chicago/Turabian Style

Mohammad Farsi; Nima Mohamadian; Hamzeh Ghorbani; David A. Wood; Shadfar Davoodi; Jamshid Moghadasi; Mehdi Ahmadi Alvar. 2021. "Predicting Formation Pore-Pressure from Well-Log Data with Hybrid Machine-Learning Optimization Algorithms." Natural Resources Research , no. : 1-27.

Review
Published: 31 March 2021 in Journal of Cleaner Production
Reads 0
Downloads 0

Mineral carbonation to sequester carbon dioxide presents the potential for mitigating global warming. Currently, byproduct gypsum, an industrial solid waste, was used to fix carbon dioxide through mineral carbonation showing the great advantages due to its fast carbonation rate and high carbonation reactivity (above 95%). This process is a promising strategy to mitigate the environmental issue of byproduct gypsum stacking and the carbon dioxide concentration. In this review, the process of mineral carbonation of byproduct gypsum containing direct and indirect routes is discussed. Additionally, the carbonation kinetics and the synthesis of tunable calcium carbonate are elaborated. The economic analysis and environmental impact of the process are evaluated. Furthermore, the challenges and future work of mineral carbonation of byproduct gypsum for carbon dioxide storage are proposed. This review can provide guidelines for mineral carbonation of byproduct gypsum on the lab-scale, even on practical application.

ACS Style

Bo Wang; Zihe Pan; Huaigang Cheng; Zhien Zhang; Fangqin Cheng. A review of carbon dioxide sequestration by mineral carbonation of industrial byproduct gypsum. Journal of Cleaner Production 2021, 302, 126930 .

AMA Style

Bo Wang, Zihe Pan, Huaigang Cheng, Zhien Zhang, Fangqin Cheng. A review of carbon dioxide sequestration by mineral carbonation of industrial byproduct gypsum. Journal of Cleaner Production. 2021; 302 ():126930.

Chicago/Turabian Style

Bo Wang; Zihe Pan; Huaigang Cheng; Zhien Zhang; Fangqin Cheng. 2021. "A review of carbon dioxide sequestration by mineral carbonation of industrial byproduct gypsum." Journal of Cleaner Production 302, no. : 126930.

Journal article
Published: 27 March 2021 in Science of The Total Environment
Reads 0
Downloads 0

This paper demonstrates the benefits of incorporating CO2 utilisation through methanation in the steel industry. This approach allows to produce synthetic methane, which can be recycled back into the steel manufacturing process as fuel and hence saving the consumption of natural gas. To this end, we propose a combined steel-making and CO2 utilisation prototype whose key units (shaft furnace, reformer and methanation unit) have been modelled in Aspen Plus V8.8. Particularly, the results showed an optimal performance of the shaft furnace at 800°C and 6 bar, as well as 1050°C and atmospheric pressure for the reformer unit. Optimal results for the methanation reactor were observed at 350°C. Under these optimal conditions, 97.8% of the total CO2 emissions could be mitigated from a simplified steel manufacturing scenario and 89.4% of the natural gas used in the process could be saved. A light economic approach is also presented, revealing that the process could be profitable with future technologic developments, natural gas prices and forthcoming increases of CO2 emissions taxes. Indeed, the cash-flow can be profitable (325 k€) under the future costs: methanation operational cost at 0.105 €/Nm3; electrolysis operational cost at 0.04 €kWh, natural gas price at 32 €/MWh; and CO2 penalty at 55€/MWh. Hence this strategy is not only environmentally advantageous but also economically appealing and could represent an interesting route to contribute towards steel-making decarbonisation.

ACS Style

F.M. Baena-Moreno; N. Cid-Castillo; H. Arellano-García; T.R. Reina. Towards emission free steel manufacturing – Exploring the advantages of a CO2 methanation unit to minimize CO2 emissions. Science of The Total Environment 2021, 781, 146776 .

AMA Style

F.M. Baena-Moreno, N. Cid-Castillo, H. Arellano-García, T.R. Reina. Towards emission free steel manufacturing – Exploring the advantages of a CO2 methanation unit to minimize CO2 emissions. Science of The Total Environment. 2021; 781 ():146776.

Chicago/Turabian Style

F.M. Baena-Moreno; N. Cid-Castillo; H. Arellano-García; T.R. Reina. 2021. "Towards emission free steel manufacturing – Exploring the advantages of a CO2 methanation unit to minimize CO2 emissions." Science of The Total Environment 781, no. : 146776.

Original paper
Published: 18 March 2021 in Arabian Journal of Geosciences
Reads 0
Downloads 0

Pressure transient response (PTR) of horizontal well in naturally fractured reservoirs (NFR) has a particular characteristic shape. This PTR is often used to estimate parameters of NFRs and detect their wellbore and boundary regimes. Interporosity flow coefficient (λ) and storativity ratio (ω) are two important parameters of the NFR that often estimated by matching process on the PTR. Since the matching techniques’ results are not often unique, in this study, the multi-output least squares support vector regression (MLS-SVR) is employed for simultaneous estimation of λ and ω. A databank of 500 PTRs for horizontal wells in naturally fractured reservoirs is generated by the finite element method, converted to the pressure derivative (PD) curves, and then used to develop and evaluate this auto-characterization paradigm. The predictive accuracy of the model is checked and validated by both smooth and noisy PTRs. The proposed model predicts ω and λ with overall absolute average relative deviations (AARD) of 0.186% and 3.754%, respectively. The correlation coefficients (R2) of 1 and 0.99992 are obtained for the prediction of ω and λ, respectively. The Leverage outlier detection technique justified that only less than 6% of the predictions are within the suspect region. This MLS-SVR model can be simply integrated with commercial pressure transient analysis (PTA) packages for accurate prediction of ω and λ even from the noisy PTRs.

ACS Style

Seyedeh Raha Moosavi; Behzad Vaferi; David A. Wood. Auto-characterization of naturally fractured reservoirs drilled by horizontal well using multi-output least squares support vector regression. Arabian Journal of Geosciences 2021, 14, 1 -12.

AMA Style

Seyedeh Raha Moosavi, Behzad Vaferi, David A. Wood. Auto-characterization of naturally fractured reservoirs drilled by horizontal well using multi-output least squares support vector regression. Arabian Journal of Geosciences. 2021; 14 (7):1-12.

Chicago/Turabian Style

Seyedeh Raha Moosavi; Behzad Vaferi; David A. Wood. 2021. "Auto-characterization of naturally fractured reservoirs drilled by horizontal well using multi-output least squares support vector regression." Arabian Journal of Geosciences 14, no. 7: 1-12.

Original article
Published: 11 March 2021 in Modeling Earth Systems and Environment
Reads 0
Downloads 0

Many regions and urban areas are becoming more engaged in selecting the optimum future clean energy technology mix to best fit their local power requirements. At the feasibility stage, such analysis is difficult to perform quantitatively due to the substantial uncertainties associated with many of the key influencing criteria. Moreover, changing climate means the renewable energy mix most suited to many regions is also changing as local climates progressively change. A protocol is proposed and evaluated for conducting qualitative multi-criteria decision analysis (MCDA) of multiple clean energy alternatives, suitable for specific regional conditions, using the TOPSIS method. This begins with linguistic assessments of a large number of pertinent criteria (50 or more) taking into account the diverse preferences of the many stakeholders involved. The linguistic assessments are inverted to integer number, fuzzy and intuitionistic fuzzy scoring (IFS) systems. The IFS method is shown to integrate uncertainty in a more flexible way. The fuzzy and IFS TOPSIS methods adjust their impact matrices with three weight factors: (1) objective weights derived from calculated entropy for each criteria, (2) subjective weights associated with preferences expressed by individual representative stakeholders; (3) subjective weights applied to balance the preferences among stakeholder groups. The three methods are applied using regionally specific case studies to illustrate and compare the clean energy rankings they select for the conditions associated with the specific region evaluated. Fuzzy and IFS scoring systems generate slightly different rankings as they capture uncertainty in different ways.

ACS Style

David A. Wood. Feasibility stage screening for sustainable energy alternatives with a fuzzy multi-criteria decision analysis protocol. Modeling Earth Systems and Environment 2021, 1 -40.

AMA Style

David A. Wood. Feasibility stage screening for sustainable energy alternatives with a fuzzy multi-criteria decision analysis protocol. Modeling Earth Systems and Environment. 2021; ():1-40.

Chicago/Turabian Style

David A. Wood. 2021. "Feasibility stage screening for sustainable energy alternatives with a fuzzy multi-criteria decision analysis protocol." Modeling Earth Systems and Environment , no. : 1-40.

Journal article
Published: 10 March 2021 in Journal of CO2 Utilization
Reads 0
Downloads 0

Herein a novel process to synergize biogas upgrading, CO2 utilization and waste recycling is proposed. Our study emerges as a promising strategy within the circular economy. In this work, the technical feasibility of Flue-Gas Desulfurization Gypsum as precipitant for definitely CO2 storage is studied. The precipitation stage is evaluated through two key factors: the quality of the carbonate product and the precipitation efficiency obtained. The physicochemical characterization of the solid carbonate product was analysed by means of Raman, X-Ray diffraction and scanning electron microscopy. The precipitation efficiency is evaluated through the variation of the main precipitation parameters (temperature, molar ratio and time). For this purpose, two groups of experiments were performed. The first group was aimed to model the precipitation system through experiments designed with DesignExpert vs.12 software. The second group of experiments allows to compare our results with pure species as precipitants, as well as to validate the model designed. The physicochemical characterization performed reveals high purity calcite as product. Encouraging precipitation efficiencies were obtained, ranging from 53.09–80.09% (66 % average). Furthermore, the model reveals a high influence of the molar ratio (3–5 times higher impact than other parameters) and low influence of temperature, which evidences the low energy consumption of the proposal. To optimize energy consumption, the model suggests 33 sets of parameters values. Examples of these values are 20 °C, 1.5 mol/mol, and 30 min, which allow to obtain a 72.57 % precipitation efficiency. Overall, this study confirms the technical feasibility of this circular economy approach.

ACS Style

Francisco M. Baena-Moreno; Estelle le Saché; Cameron Alexander Hurd Price; T.R. Reina; Benito Navarrete. From biogas upgrading to CO2 utilization and waste recycling: A novel circular economy approach. Journal of CO2 Utilization 2021, 47, 101496 .

AMA Style

Francisco M. Baena-Moreno, Estelle le Saché, Cameron Alexander Hurd Price, T.R. Reina, Benito Navarrete. From biogas upgrading to CO2 utilization and waste recycling: A novel circular economy approach. Journal of CO2 Utilization. 2021; 47 ():101496.

Chicago/Turabian Style

Francisco M. Baena-Moreno; Estelle le Saché; Cameron Alexander Hurd Price; T.R. Reina; Benito Navarrete. 2021. "From biogas upgrading to CO2 utilization and waste recycling: A novel circular economy approach." Journal of CO2 Utilization 47, no. : 101496.