نتایج جستجو برای: vapor extraction

تعداد نتایج: 201321  

Journal: :iranian journal of chemistry and chemical engineering (ijcce) 2007
jamshid roodsaz mohabbat ahmadi vali ahmad sajjadian saeed abbasi

gas injection into heavy oil reservoirs could result in high ultimate recovery of oil. experimental studies showed that an application of a combined technology of gas assisted gravity drainage (gagd) and vapor extraction (vapex) could increase final oil recovery of a candidate viscous oil reservoir. in this paper the results of laboratory investigation are presented, including pressure-volume-t...

Journal: :Journal of hazardous materials 2004
J-C Chai N Miura

The results of a field investigation, vapor extraction tests, and long-term monitoring at a PCE-contaminated site in Saga, Japan, are reported. The field investigation indicated that PCE likely was trapped in a surface clayey sand layer (vadose zone), and soil vapor extraction (SVE) was adopted as the remediation approach. The field test results the effectiveness of SVE in removing volatile org...

Journal: :iranian journal of chemistry and chemical engineering (ijcce) 2014
mahmood payehghadr homa shafiekhani ali reza sabouri abdoll mohammad attaran mohammad kazem rofouei

a facile and highly efficient method have been developed for the preconcentration of the mercury content in crude oil and gasoline samples after digestion with microwave-assisted digestion. octadecyl silica membrane disk has been modified by the recently synthesized triazene ligand, (e)-1-(2-ethoxyphenyl)-3-(4-nitrophenyl) triaz-1-ene (ent), then the modified membrane was used for the preconcen...

1997

Presently, both direct vapor partitioning and solvent extraction methods of sample preparation are commonly used for the characterization of volatile organic compounds (VOCs) in soil. These two approaches of recovering VOCs from this matrix, and other forms of solid waste, are often used interchangeably without any recognition of how different parameters (enviromental and procedural) influence ...

Journal: :Journal of Petroleum Engineering 2016

2017
Huiwei Zhou Yunlong Yang Zhuang Liu Zhe Liu Yahui Men

Understanding chemical-disease relations (CDR) from biomedical literature is important for biomedical research and chemical discovery. This paper uses a k-max pooling convolutional neural network (CNN) to exploit word sequences and dependency structures for CDR extraction. Furthermore, an effective weighted context method is proposed to capture semantic information of word sequences. Our system...

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