ORCID Profile
0000-0001-7111-971X
Current Organisations
CSIRO Clayton
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CSIRO
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Publisher: Elsevier BV
Date: 11-2023
Publisher: Elsevier BV
Date: 10-2019
Publisher: Elsevier BV
Date: 07-2018
Publisher: American Society of Civil Engineers (ASCE)
Date: 08-2016
Publisher: Elsevier BV
Date: 07-2020
Publisher: Elsevier BV
Date: 11-2017
Publisher: German Research Centre for Geosciences GFZ
Date: 2018
Publisher: Editora Edgard Blücher
Date: 05-2014
Publisher: Elsevier BV
Date: 06-2019
Publisher: MDPI AG
Date: 14-12-2021
DOI: 10.3390/LAND10121382
Abstract: The effects of global warming are putting the world’s coasts at risk. Coastal planners need relatively accurate projections of the rate of sea-level rise and its possible consequences, such as extreme sea-level changes, flooding, and coastal erosion. The east coast of Peninsular Malaysia is vulnerable to sea-level change. The purpose of this study is to present an Artificial Neural Network (ANN) model to analyse sea-level change based on observed data of tide gauge, rainfall, sea level pressure, sea surface temperature, and wind. A Feed-forward Neural Network (FNN) approach was used on observed data from 1991 to 2012 to simulate and predict the sea level change until 2020 from five tide gauge stations in Kuala Terengganu along the East Coast of Malaysia. From 1991 to 2020, predictions estimate that sea level would increase at a pace of roughly 4.60 mm/year on average, with a rate of 2.05 ± 7.16 mm on the East Coast of Peninsular Malaysia. This study shows that Peninsular Malaysia’s East Coast is vulnerable to sea-level rise, particularly at Kula Terengganu, Terengganu state, with a rate of 1.38 ± 7.59 mm/year, and Tanjung Gelang, Pahang state, with a rate of 1.87 ± 7.33 mm/year. As a result, strategies and planning for long-term adaptation are needed to control potential consequences. Our research provides crucial information for decision-makers seeking to protect coastal cities from the risks of rising sea levels.
Publisher: American Geophysical Union (AGU)
Date: 12-10-2020
DOI: 10.1029/2020GL087563
Publisher: American Society of Civil Engineers
Date: 06-07-2017
Publisher: Springer Science and Business Media LLC
Date: 25-03-2021
DOI: 10.1007/S00603-021-02425-Y
Abstract: In this work, we aim to verify the predictions of the numerical simulators, which are used for designing field-scale hydraulic stimulation experiments. Although a strong theoretical understanding of this process has been gained over the past few decades, numerical predictions of fracture propagation in low-permeability rocks still remains a challenge. Against this background, we performed controlled laboratory-scale hydraulic fracturing experiments in granite s les, which not only provides high-quality experimental data but also a well-characterized experimental set-up. Using the experimental pressure responses and the final fracture sizes as benchmark, we compared the numerical predictions of two coupled hydraulic fracturing simulators—CSMP and GEOS. Both the simulators reproduced the experimental pressure behavior by implementing the physics of Linear Elastic Fracture Mechanics (LEFM) and lubrication theory within a reasonable degree of accuracy. The simulation results indicate that even in the very low-porosity (1–2 %) and low-permeability ( $${10}^{-18}\\ {\\mathrm{m}}^{2}- {10}^{-19}\\ {\\mathrm{m}}^{2}$$ 10 - 18 m 2 - 10 - 19 m 2 ) crystalline rocks, which are usually the target of EGS, fluid-loss into the matrix and unsaturated flow impacts the formation breakdown pressure and the post-breakdown pressure trends. Therefore, underestimation of such parameters in numerical modeling can lead to significant underestimation of breakdown pressure. The simulation results also indicate the importance of implementing wellbore solvers for considering the effect of system compressibility and pressure drop due to friction in the injection line. The varying injection rate as a result of decompression at the instant of fracture initiation affects the fracture size, while the entry friction at the connection between the well and the initial notch may cause an increase in the measured breakdown pressure.
Publisher: Elsevier BV
Date: 02-2021
Publisher: Copernicus GmbH
Date: 28-08-2018
DOI: 10.5194/ADGEO-45-209-2018
Abstract: Abstract. Well inflow modelling in different numerical simulation approaches are compared for a multi-lateral well. Specifically radial wells will be investigated, which can be created using Radial Jet Drilling (RJD). In this technique, powerful hydraulic jets are used to create small diameter laterals (25–50 mm) of limited length (up to 100 m) from a well. The laterals, also called radials, leave the backbone at a 90∘ angle. In this study we compare three numerical simulators and a semi-analytical tool for calculating inflow of a radial well. The numerical simulators are FE approaches (CSMP and GOLEM) and an FV approach with explicit well model (Eclipse®). A series of increasingly complex well configurations is simulated, including one with inflow from a fault. Although all simulators generally are reasonably close in terms of the total well flow (deviations 4 % for the homogeneous cases), the distribution of the flow over the different parts of the well can vary significantly. Also, the FE approaches are more sensitive to grid size when the flow is dominated by radial flow to the well since they do not include a dedicated well model. In the FE approaches, lower dimensional elements (1-D for the well and 2-D for the faults) were superimposed into a 3-D space. In case the flow is dominated by fracture flow, the results from the FV approach in Eclipse deviates from the FE methods.
Publisher: Elsevier BV
Date: 09-2020
Publisher: Wiley
Date: 30-05-2022
DOI: 10.1002/NAG.3383
Abstract: This article revisits the formulation of the J ‐integral in the context of hydraulic fracture mechanics. We demonstrate that the use of the classical J ‐integral in finite element models overestimates the length of hydraulic fractures in the viscosity‐dominated regime of propagation. A finite element analysis shows that the inaccurate numerical solution for fluid pressure is responsible for the loss in accuracy of the J ‐integral. With this understanding, two novel contributions are presented. The first contribution consists of two variations of the J ‐integral, termed the and ‐integral, that demonstrate an enhanced ability to predict viscosity‐dominated propagation. In particular, such ‐integrals accurately extract stress intensity factors in both viscosity and toughness‐dominated regimes of propagation. The second contribution consists of a methodology to extract the propagation velocity from the energy release rate applicable throughout the toughness‐viscous propagation regimes. Both techniques are combined to form an implicit front‐tracking ‐algorithm capable of quickly converging on the location of the fracture front independently to the toughness‐viscous regime of propagation. The ‐algorithm represents an energy‐based alternative to the aperture‐based methods frequently used with the Implicit Level Set Algorithm to simulate hydraulic fracturing. Simulations conducted at various resolutions of the fracture suggest that the new approach is suitable for hydro‐mechanical finite element simulations at the reservoir scale.
Publisher: Elsevier
Date: 2018
Publisher: MDPI AG
Date: 10-2022
DOI: 10.3390/SEPARATIONS9100276
Abstract: In the current study, an integrated physiochemical method was utilized to remove tonalide (TND) and dimethyl phthalate (DMP) (as emerging contaminants, ECs), and nickel (Ni) and lead (Pb) (as heavy metals), from synthetic wastewater. In the first step of the study, pH, current (mA/cm2), and voltage (V) were set to 7.0, 30, and 9, respectively then the removal of TND, DMP, Ni, and Pb with an electro-ozonation reactor was optimized using response surface methodology (RSM). At the optimum reaction time (58.1 min), ozone dosage (9.4 mg L−1), initial concentration of ECs (0.98 mg L−1), and initial concentration of heavy metals (28.9 mg L−1), the percentages of TND, DMP, Ni, and Pb removal were 77.0%, 84.5%, 59.2%, and 58.2%, respectively. For the electro-ozonation reactor, the ozone consumption (OC) ranged from 1.1 kg to 3.9 kg (kg O3/kg Ecs), and the specific energy consumption (SEC) was 6.95 (kWh kg−1). After treatment with the optimum electro-ozonation parameters, the synthetic wastewater was transferred to a fixed-bed column, which was filled with a new composite adsorbent (named BBCEC), as the second step of the study. BBCEC improved the efficacy of the removal of TND, DMP, Ni, and Pb to more than 92%.
Publisher: Elsevier BV
Date: 09-2019
Publisher: American Society of Civil Engineers (ASCE)
Date: 06-2020
Publisher: CRC Press
Date: 19-05-2014
DOI: 10.1201/B17017-183
Publisher: Elsevier BV
Date: 2018
Publisher: European Association of Geoscientists & Engineers
Date: 2020
Publisher: EAGE Publications BV
Date: 11-06-2018
Publisher: GFZ German Research Centre for Geosciences
Date: 2019
Publisher: Elsevier BV
Date: 03-2017
Publisher: Elsevier BV
Date: 2018
Publisher: American Society of Civil Engineers (ASCE)
Date: 06-2016
Publisher: Elsevier BV
Date: 09-2015
Publisher: MDPI AG
Date: 12-12-2022
DOI: 10.3390/W14244046
Abstract: The potential of microalgal photobioreactors in removing total ammonia nitrogen (TAN), chemical oxygen demand (COD), caffeine (CAF), and N,N-diethyl-m-toluamide (DEET) from synthetic wastewater was studied. Chlorella vulgaris achieved maximum removal of 62.2% TAN, 52.8% COD, 62.7% CAF, and 51.8% DEET. By mixing C. vulgaris with activated sludge, the photobioreactor showed better performance, removing 82.3% TAN, 67.7% COD, 85.7% CAF, and 73.3% DEET. Proteobacteria, Bacteroidetes, and Chloroflexi were identified as the dominant phyla in the activated sludge. The processes were then optimized by the artificial neural network (ANN). High R2 values ( .99) and low mean squared errors demonstrated that ANN could optimize the reactors’ performance. The toxicity testing showed that high concentrations of contaminants ( mg/L) and long contact time ( h) reduced the chlorophyll and protein contents in microalgae. Overall, a green technology for wastewater treatment using microalgae and bacteria consortium has demonstrated its high potentials in sustainable management of water resources.
Publisher: CRC Press
Date: 05-06-2014
DOI: 10.1201/B17034-80
Publisher: Elsevier BV
Date: 08-2019
Publisher: Elsevier BV
Date: 06-2018
Publisher: MDPI AG
Date: 19-11-2021
DOI: 10.3390/LAND10111271
Abstract: Coastal hazards are an urgent issue of global concern considering the increasing population pressure in coastal regions, retreating coastlines, and rising seawater levels. Here we demonstrate the process of assessing the vulnerability of a coastal urban environment using the case of Kuala Terengganu, a coastal town in Malaysia, and evaluating the potential social, environmental, and economic impacts. Uncertainties in the human dimensions of global change deeply affect the assessment and responses to environmental, climatic, and non-climate impacts on coastal city population growth and communities. We address these uncertainties by combining a Delphi-Analytical Hierarchy Process (Delphi-AHP) model and Geographic Information System (GIS)tools to determine mitigation and adaptation probabilities as part of a Coastal City Vulnerability Assessment. We conclude by presenting calculations of the short- and long-term suitability for land use and recommending hazard mitigation measures to equip city planners and decision-makers in evaluating hazards and potential impacts on coastal city areas.
Publisher: EAGE Publications BV
Date: 11-06-0003
Location: Australia
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Saeed Salimzadeh.