Status and outlook of oil field chemistry-assisted analysis during the energy transition period

B Jia, C Xian, JS Tsau, X Zuo, W Jia - Energy & Fuels, 2022 - ACS Publications
Analytical chemistry is powerful in analyzing complex mixtures of crude oil and brine
subsurfaces on the basis of atomic and molecular levels. Geochemistry applies chemical …

A hybrid data-driven machine learning framework for predicting the performance of coal and biomass gasification processes

Q Yang, J Zhang, J Zhou, L Zhao, D Zhang - Fuel, 2023 - Elsevier
Gasification technology can effectively improve the utilization efficiency of coal and biomass
resources. However, conventional experimental methods are costly, time-consuming, and …

Contributions of fourier-transform infrared spectroscopy technologies to the research of asphalt materials: A comprehensive review

H Zhang, F Zheng, J Zhang, D Hu, M Minelli, J Pei… - Fuel, 2024 - Elsevier
Fourier-transform infrared spectroscopy (FTIR) has become a crucial method for both
qualitative and quantitative analysis in characterizing asphalt materials. The present work …

Multiobjectives optimization in petroleum refinery catalytic desulfurization using Machine learning approach

HA Al-Jamimi, GM BinMakhashen, TA Saleh - Fuel, 2022 - Elsevier
In the petroleum refining industries, the hydrodesulfurization (HDS) process is one of the
most common techniques for purifying petroleum products from undesirable sulfur species to …

An insight into the estimation of drilling fluid density at HPHT condition using PSO-, ICA-, and GA-LSSVM strategies

SM Alizadeh, I Alruyemi, R Daneshfar… - Scientific Reports, 2021 - nature.com
The present study evaluates the drilling fluid density of oil fields at enhanced temperatures
and pressures. The main objective of this work is to introduce a set of modeling and …

Chemical characterisation of bitumen type and ageing state based on FTIR spectroscopy and discriminant analysis integrated with variable selection methods

L Ma, A Varveri, R Jing, S Erkens - Road Materials and Pavement …, 2023 - Taylor & Francis
The chemical characterization of bitumen type and ageing state are fundamental in
determining structural and mechanical properties of bitumen. This work aims to classify …

[HTML][HTML] FTIR spectroscopy and multivariate discriminant analysis for classifying bituminous mastics: Exploring aging states and mastic composition

SM Motevalizadeh, K Mollenhauer… - Construction and Building …, 2024 - Elsevier
This study aimed to differentiate among various bituminous mastics through the analysis of
FTIR spectroscopy data. The mastics, incorporating three filler types, a 50/70 penetration …

Assessment of integrated freshness index of different varieties of eggs using the visible and near-infrared spectroscopy

D Fu, Q Li, Y Chen, M Ma, W Tang - International Journal of Food …, 2023 - Taylor & Francis
This study aimed to determine the integrated freshness index (IFI) of eggs using Vis-NIR
spectroscopy and optimized support vector regression, which gave the first insight into the …

Near-infrared spectroscopy and HPLC combined with chemometrics for comprehensive evaluation of six organic acids in Ginkgo biloba leaf extract

S Zhang, X Gong, H Qu - Journal of Pharmacy and …, 2022 - academic.oup.com
Objectives To investigate the feasibility of using near-infrared spectroscopy for rapid
determination of main organic acids in Ginkgo biloba leaf extract (EGBL). Methods Main …

[HTML][HTML] Prediction of compressive strength in plain and blended cement concretes using a hybrid artificial intelligence model

HA Al-Jamimi, WA Al-Kutti, S Alwahaishi… - Case Studies in …, 2022 - Elsevier
Concrete is a complex engineering material with different ingredients and design variables.
Therefore, an accurate prediction of concrete compressive strength (CCS) should consider …