Danial Ahangari

ORCID: 0000-0001-9035-9786
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About
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Research Areas
  • Biodiesel Production and Applications
  • Geochemistry and Geologic Mapping
  • Hydraulic Fracturing and Reservoir Analysis
  • Seismic Imaging and Inversion Techniques
  • Nanofluid Flow and Heat Transfer
  • Fault Detection and Control Systems
  • Petroleum Processing and Analysis
  • Thermochemical Biomass Conversion Processes
  • Hydrocarbon exploration and reservoir analysis
  • Phase Change Materials Research
  • Groundwater flow and contamination studies
  • Solar Thermal and Photovoltaic Systems

Shahid Chamran University of Ahvaz
2021-2022

Petroleum University of Technology
2021

Geochemical parameters are useful properties to enhance hydrocarbon exploration certainty. Though, attaining these parameters, for instance total organic carbon (TOC), volatile and residual (S1 & S2) is a challenge geologists due the high cost time consumption. Therefore, addressing this issue has become an interesting subject many researchers. As result, on ground of conventional well logs, vast kinds methods, example, back propagation artificial neural network (BPANN), have been introduced...

10.1016/j.petlm.2021.04.007 article EN cc-by-nc-nd Petroleum 2021-05-14

Thermal conductivity (TC) of a phase change material (PCM) may be enhanced by distributing nanostructured materials (NSMs) termed nano-PCM. It is critical to accurately estimate the TC nano-PCM assess heat transfer during transition processes, namely, solidification and melting. Here, we propose Gaussian process regression (GPR) strategies involving four various kernel functions (KFs) (including exponential (E), squared (SE), rational quadratic (RQ), matern (M)) predict n-octadecane as PCM....

10.1155/2022/7119336 article EN cc-by International Journal of Chemical Engineering 2022-06-09

This paper deals with modeling hydrogen contents of bio-oil (H-BO) as a function pyrolysis conditions and biomass compositions feedstock. The support vector machine algorithm optimized by the grey wolf optimization method has been used in this end. Comprehensive data for purpose were aggregated from previous sources reports. results various analyses showed that high ability to predict actual results. calculated values R2, MRE (%), MSE, RMSE obtained 0.973, 1.98, 0.0568, 0.241, respectively....

10.1155/2021/7548251 article EN cc-by International Journal of Chemical Engineering 2021-07-16
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